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James Demmel

James Demmel

University of California, Berkeley
United States

Last Updated:

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Mathematics
USA
2026

D-Index & Metrics

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Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mathematics 89 78 63 48 38 343 38149
Computer Science 95 453 441 249 241 401 49958

James Demmel publications per year

The chart shows the history of publications by James Demmel between 1980 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. James Demmel published across 46 years, from 1980 to 2025, averaging 9.9 papers a year. Output peaked at 27 publications in 1997. 14 of the 454 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 1980 to 2025. Vertical axis: number of publications, 0 to 27. Peak 27 publications in 1997. 1980: 1 publication 1981: 0 publications 1982: 0 publications 1983: 4 publications 1984: 1 publication 1985: 1 publication 1986: 3 publications 1987: 7 publications 1988: 2 publications 1989: 5 publications 1990: 5 publications 1991: 3 publications 1992: 13 publications 1993: 11 publications 1994: 10 publications 1995: 10 publications 1996: 4 publications 1997: 27 publications 1998: 7 publications 1999: 17 publications 2000: 14 publications 2001: 8 publications 2002: 11 publications 2003: 8 publications 2004: 8 publications 2005: 15 publications 2006: 18 publications 2007: 15 publications 2008: 22 publications 2009: 10 publications 2010: 10 publications 2011: 22 publications 2012: 19 publications 2013: 22 publications 2014: 15 publications 2015: 13 publications 2016: 13 publications 2017: 8 publications 2018: 13 publications 2019: 8 publications 2020: 9 publications 2021: 12 publications 2022: 6 publications 2023: 10 publications 2024: 7 publications 2025: 7 publications
1980 2025

454 publications in total across all disciplines

View publications per year as a table
James Demmel: publications per year, 1980 to 2025
Year Publications
1980 1
1981 0
1982 0
1983 4
1984 1
1985 1
1986 3
1987 7
1988 2
1989 5
1990 5
1991 3
1992 13
1993 11
1994 10
1995 10
1996 4
1997 27
1998 7
1999 17
2000 14
2001 8
2002 11
2003 8
2004 8
2005 15
2006 18
2007 15
2008 22
2009 10
2010 10
2011 22
2012 19
2013 22
2014 15
2015 13
2016 13
2017 8
2018 13
2019 8
2020 9
2021 12
2022 6
2023 10
2024 7
2025 7
Total 454
Download as CSV

James Demmel publications per year - data summary

  • James Demmel, a Mathematics scholar from University of California, Berkeley, has 454 publications recorded across 46 years, from 1980 to 2025.
  • The oldest publication on record dates to 1980 and the most recent to 2025.
  • The most productive year is 1997, with 27 publications.
  • The least productive years with any output are 1980, 1984 and 1985, with 1 publication each.
  • 2 of the 46 years in the span carry no publications at all (1981 and 1982).
  • The rate of publication averages 9.9 papers per year over the whole span, or 10.3 per year counting only the 44 years with at least one publication.
  • The last 5 years on the chart (2021-2025) hold 42 publications, 9% of the career total.
  • Split into equal eras - 1980-1995: 76 publications (4.8 per year); 1996-2011: 216 publications (13.5 per year); 2012-2025: 162 publications (11.6 per year).
  • Comparing the opening and closing eras, the overall trend of publication is rising.

James Demmel publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where James Demmel sits on this spectrum.

No. of scientists
25 50 75 100
Bar chart with 100 bars. Horizontal axis: publications, 42–46 to 537+. Vertical axis: number of scientists, 0 to 112. Most scientists, 112, have 142–146 publications. The last bar groups every scientist with 537 publications or more. The highlighted bar, 342–346 publications, is where this scientist sits. 42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientist 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientist 522–526 publications: 3 scientists 527–531 publications: 1 scientist 532–536 publications: 4 scientists 537+ publications: 100 scientists
42–46 publications 537+

This scientist: 343 publications — 90th percentile

90% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

View publications distribution as a table
Number of Mathematics scientists by publication count, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
Publications Scientists This scientist
42–46 3
47–51 5
52–56 7
57–61 20
62–66 14
67–71 25
72–76 19
77–81 35
82–86 50
87–91 60
92–96 86
97–101 84
102–106 83
107–111 90
112–116 99
117–121 90
122–126 91
127–131 109
132–136 110
137–141 98
142–146 112
147–151 102
152–156 88
157–161 106
162–166 83
167–171 102
172–176 77
177–181 81
182–186 78
187–191 71
192–196 92
197–201 64
202–206 69
207–211 64
212–216 62
217–221 58
222–226 53
227–231 50
232–236 46
237–241 46
242–246 46
247–251 43
252–256 29
257–261 45
262–266 30
267–271 33
272–276 34
277–281 30
282–286 31
287–291 21
292–296 34
297–301 26
302–306 10
307–311 17
312–316 23
317–321 13
322–326 16
327–331 26
332–336 13
337–341 13
342–346 16 343
347–351 17
352–356 12
357–361 18
362–366 18
367–371 9
372–376 11
377–381 8
382–386 8
387–391 9
392–396 9
397–401 8
402–406 11
407–411 6
412–416 6
417–421 9
422–426 8
427–431 5
432–436 8
437–441 8
442–446 4
447–451 4
452–456 4
457–461 2
462–466 2
467–471 4
472–476 3
477–481 3
482–486 6
487–491 3
492–496 5
497–501 5
502–506 1
507–511 6
512–516 4
517–521 1
522–526 3
527–531 1
532–536 4
537+ 100
Download as CSV

James Demmel publication distribution in Mathematics in 2026 - data summary

  • The chart plots the publication count of all 3,584 Mathematics scientists ranked by Research.com in 2026, grouped into 100 ranges running from 42–46 to 537+ publications.
  • James Demmel, a Mathematics scholar from University of California, Berkeley, records 343 publications - the 90th percentile of the discipline.
  • 90% of ranked Mathematics scientists score the same or lower than James Demmel, and about 10% score higher.
  • The median of the discipline falls in the 172–176 publications range, and James Demmel ranks above the median.
  • The most crowded range is 142–146 publications, holding 112 scientists (3% of the field).
  • 47% of the field sits in the lowest quarter of the value range (up to 162–166 publications), so the distribution leans towards the lower end of the scale.
  • The final bar has no upper bound: it groups every scientist with 537 publications or more, 100 scientists in all (3% of the field).

James Demmel D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where James Demmel sits on this spectrum.

No. of scientists
50 100 150
Bar chart with 57 bars. Horizontal axis: D-Index, 30 to 86+. Vertical axis: number of scientists, 0 to 174. Most scientists, 174, have 30 D-Index. The last bar groups every scientist with 86 D-Index or more. The highlighted bar, 86+ D-Index, is where this scientist sits. 30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 89 D-Index — 98th percentile

98% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

View D-Index distribution as a table
Number of Mathematics scientists by D-index, Research.com 2026 ranking edition. Based on 3,584 ranked scientists.
D-Index Scientists This scientist
30 174
31 151
32 174
33 117
34 136
35 127
36 145
37 153
38 150
39 150
40 138
41 136
42 93
43 108
44 115
45 112
46 103
47 75
48 59
49 67
50 60
51 57
52 59
53 62
54 60
55 50
56 42
57 54
58 50
59 42
60 41
61 35
62 40
63 21
64 31
65 27
66 29
67 19
68 25
69 17
70 18
71 12
72 14
73 13
74 18
75 9
76 11
77 10
78 9
79 16
80 12
81 10
82 5
83 5
84 13
85 6
86+ 99 89
Download as CSV

James Demmel D-index placement in Mathematics in 2026 - data summary

  • The chart plots the discipline H-index (D-index) of all 3,584 Mathematics scientists ranked by Research.com in 2026, grouped into 57 ranges running from 30 to 86+ D-Index.
  • James Demmel, a Mathematics scholar from University of California, Berkeley, records 89 D-Index - the 98th percentile of the discipline.
  • 98% of ranked Mathematics scientists score the same or lower than James Demmel, and about 2% score higher.
  • The median of the discipline falls in the 42 D-Index range, and James Demmel ranks above the median.
  • The most crowded range is 30 D-Index, holding 174 scientists (5% of the field).
  • 58% of the field sits in the lowest quarter of the value range (up to 44 D-Index), so the distribution is heavily right-skewed and high scores are rare.
  • The final bar has no upper bound: it groups every scientist with 86 D-Index or more, 99 scientists in all (3% of the field).

Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award
  • 2018 - Fellow of the American Academy of Arts and Sciences
  • 2015 - Fellow of the American Association for the Advancement of Science (AAAS)
  • 2014 - ACM Paris Kanellakis Theory and Practice Award For contributions to algorithms and software for numerical linear algebra used in scientific computing and large-scale data analysis.
  • 2013 - Fellow of the American Mathematical Society
  • 2011 - Member of the National Academy of Sciences
  • 2009 - SIAM Fellow For contributions to numerical linear algebra, including the LAPACK project.
  • 2002 - IEEE Fellow For contributions to the field of computational mathematics and the development of mathematical software.
  • 1999 - Member of the National Academy of Engineering For contributions to numerical linear algebra and scientific computing.
  • 1999 - ACM Fellow For outstanding contributions to scientific computing, parallel processing and software engineering.

Overview

James Demmel is affiliated with the University of California, Berkeley in the United States. Their research primarily lies within the field of Computer Science, with a notable focus on subfields such as Artificial Intelligence, Computational Theory and Mathematics, Computer Vision and Pattern Recognition, Hardware and Architecture, and Computational Mechanics.

Demmel's scholarly output includes recent papers such as:

  • Algorithms for Efficient Reproducible Floating Point Summation, 2020, ACM Transactions on Mathematical Software
  • Randomized Numerical Linear Algebra: A Perspective on the Field With an Eye to Software, 2023, arXiv (Cornell University)
  • Large scale multi-GPU based parallel traffic simulation for accelerated traffic assignment and propagation, 2024, Transportation Research Part C Emerging Technologies
  • Fast Bilinear Algorithms for Symmetric Tensor Contractions, 2020, Computational Methods in Applied Mathematics
  • Hybrid Parameter Search and Dynamic Model Selection for Mixed-Variable Bayesian Optimization, 2024, Journal of Computational and Graphical Statistics

Their frequent co-authors include Hengrui Luo, Aydın Buluç, Yang You, Riley Murray, and Younghyun Cho.

Demmel publishes often in venues such as arXiv (Cornell University), ACM Transactions on Mathematical Software, SIAM Journal on Matrix Analysis and Applications, SIAM Journal on Scientific Computing, and Transportation Research Part C Emerging Technologies.

The main topics addressed in Demmel's work cover:

  • Stochastic Gradient Optimization Techniques
  • Parallel Computing and Optimization Techniques
  • Matrix Theory and Algorithms
  • Advanced Neural Network Applications
  • Sparse and Compressive Sensing Techniques
  • Advanced Multi-Objective Optimization Algorithms
  • Gaussian Processes and Bayesian Inference

Demmel has received several distinguished awards throughout their career, including:

  • Fellow of the American Academy of Arts and Sciences (2018)
  • Fellow of the American Association for the Advancement of Science (AAAS) (2015)
  • ACM Paris Kanellakis Theory and Practice Award (2014) for contributions to algorithms and software for numerical linear algebra used in scientific computing and large-scale data analysis
  • Fellow of the American Mathematical Society (2013)
  • Member of the National Academy of Sciences (2011)
  • SIAM Fellow (2009) for contributions to numerical linear algebra, including the LAPACK project
  • IEEE Fellow (2002) for contributions to computational mathematics and mathematical software development
  • Member of the National Academy of Engineering (1999) for contributions to numerical linear algebra and scientific computing
  • ACM Fellow (1999) for outstanding contributions to scientific computing, parallel processing, and software engineering

Best Publications

  • Applied Numerical Linear Algebra

    James W. Demmel

  • ScaLAPACK Users' Guide

    L. S. Blackford;J. Choi;A. Cleary;E. D'Azevedo

  • ScaLAPACK user's guide

    L. S. Blackford;J. Choi;A. Cleary;E. D'Azeuedo

  • Templates for the Solution of Algebraic Eigenvalue Problems: A Practical Guide

    James Demmel;Jack Dongarra;Axel Ruhe;Henk van der Vorst

  • Health monitoring of civil infrastructures using wireless sensor networks

    Sukun Kim;Shamim Pakzad;David Culler;James Demmel

  • A Supernodal Approach to Sparse Partial Pivoting

    James W. Demmel;Stanley C. Eisenstat;John R. Gilbert;Xiaoye S. Li

  • Benchmarking GPUs to tune dense linear algebra

    Vasily Volkov;James W. Demmel

  • An Updated Set of Basic Linear Algebra Subprograms (BLAS)

    Susan Blackford;James Demmel;Jack Dongarra;Iain Duff

  • Optimization of sparse matrix-vector multiplication on emerging multicore platforms

    Samuel Williams;Leonid Oliker;Richard Vuduc;John Shalf

  • IEEE Standard for Floating-Point Arithmetic

    Dan Zuras;Mike Cowlishaw;Alex Aiken;Matthew Applegate

  • Optimization of sparse matrix-vector multiplication on emerging multicore platforms

    Samuel Williams;Leonid Oliker;Richard Vuduc;John Shalf

  • A view of the parallel computing landscape

    Krste Asanovic;Rastislav Bodik;James Demmel;Tony Keaveny

  • SuperLU_DIST: A scalable distributed-memory sparse direct solver for unsymmetric linear systems

    Xiaoye S. Li;James W. Demmel

  • Optimizing matrix multiply using PHiPAC: a portable, high-performance, ANSI C coding methodology

    Jeff Bilmes;Krste Asanovic;Chee-Whye Chin;Jim Demmel

  • OSKI: A Library of Automatically Tuned Sparse Matrix Kernels

    Richard Vuduc;James W Demmel;Katherine A Yelick

  • LAPACK: a portable linear algebra library for high-performance computers

    E. Anderson;Z. Bai;J. Dongarra;A. Greenbaum

  • LAPACK Users' Guide, 3rd ed.

    Ed Anderson;Zhaojun Bai;Christian Bischof;Susan Blackford

  • Numerical linear algebra on emerging architectures: The PLASMA and MAGMA projects

    Emmanuel Agullo;Jim Demmel;Jack Dongarra;Bilel Hadri

  • Jacobi's Method Is More Accurate Than Qr

    James Demmel;Krešimir Veselic

  • Accurate singular values of bidiagonal matrices

    James Demmel;W. Kahan

  • Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

    Yang You;Jing Li;Sashank Reddi;Jonathan Hseu

  • ScaLAPACK: A Portable Linear Algebra Library for Distributed Memory Computers - Design Issues and Performance

    Laura Susan Blackford;J. Choi;A. Cleary;A. Petitet

  • Optimization of Sparse Matrix-Vector Multiplication on EmergingMulticore Platforms

    Samuel W. Williams;Leonid Oliker;Richard Vuduc;John Shalf

Frequent Co-Authors

Jack Dongarra
Jack Dongarra University of Tennessee at Knoxville
Katherine Yelick
Katherine Yelick University of California, Berkeley
Zhaojun Bai
Zhaojun Bai University of California, Davis
Richard Vuduc
Richard Vuduc Georgia Institute of Technology
Yang You
Yang You National University of Singapore
Xiaoye S. Li
Xiaoye S. Li Lawrence Berkeley National Laboratory
Cho-Jui Hsieh
Cho-Jui Hsieh University of California, Los Angeles
Kurt Keutzer
Kurt Keutzer University of California, Berkeley
Jiawang Nie
Jiawang Nie University of California, San Diego
Christian Bischof
Christian Bischof Technical University of Darmstadt

External Links

Wikipedia of James Demmel Personal website of James Demmel Google Scholar page

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Related Online Degrees & Career Pathways

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Stanimire Tomov

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Piotr Luszczek

Piotr Luszczek

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Victor Y. Pan

Victor Y. Pan

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Nicholas J. Higham

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École Polytechnique Fédérale de Lausanne

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Bo Kågström

Bo Kågström

Umeå University

Publications: 53

Siegfried M. Rump

Siegfried M. Rump

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Publications: 53

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P. Sadayappan

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Publications: 51

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Aydin Buluc

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Publications: 50

Jakub Kurzak

Jakub Kurzak

Advanced Micro Devices (Canada)

Publications: 50

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David E. Keyes

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Publications: 47

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Yves Robert

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