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Mathematics
USA
2026

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Mathematics 86 97 78 56 42 300 30006
Computer Science 81 1010 978 541 521 281 28671

Andrea Montanari publications per year

The chart shows the history of publications by Andrea Montanari between 1997 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Andrea Montanari published across 29 years, from 1997 to 2025, averaging 12.5 papers a year. Output peaked at 35 publications in 2009. 27 of the 362 publications appeared in the last two years.

No. of publications
10 20 30
Bar chart. Horizontal axis: year, 1997 to 2025. Vertical axis: number of publications, 0 to 35. Peak 35 publications in 2009. 1997: 2 publications 1998: 2 publications 1999: 3 publications 2000: 5 publications 2001: 5 publications 2002: 3 publications 2003: 4 publications 2004: 13 publications 2005: 10 publications 2006: 10 publications 2007: 15 publications 2008: 14 publications 2009: 35 publications 2010: 23 publications 2011: 17 publications 2012: 8 publications 2013: 21 publications 2014: 13 publications 2015: 19 publications 2016: 13 publications 2017: 9 publications 2018: 15 publications 2019: 14 publications 2020: 15 publications 2021: 20 publications 2022: 12 publications 2023: 15 publications 2024: 19 publications 2025: 8 publications
1997 2025

362 publications in total across all disciplines

View publications per year as a table
Andrea Montanari: publications per year, 1997 to 2025
Year Publications
1997 2
1998 2
1999 3
2000 5
2001 5
2002 3
2003 4
2004 13
2005 10
2006 10
2007 15
2008 14
2009 35
2010 23
2011 17
2012 8
2013 21
2014 13
2015 19
2016 13
2017 9
2018 15
2019 14
2020 15
2021 20
2022 12
2023 15
2024 19
2025 8
Total 362
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Andrea Montanari 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 Andrea Montanari 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, 297–301 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: 300 publications — 86th percentile

86% 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 26 300
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
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
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Andrea Montanari 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 Andrea Montanari 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: 86 D-Index — 97th percentile

97% 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 86
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Research.com Recognitions

  • 2026 - Research.com Mathematics in United States Leader Award
  • 2025 - Research.com Mathematics in United States Leader Award

Overview

Andrea Montanari is affiliated with Stanford University in the United States and contributes extensively to the fields of computer science and mathematics. Their research encompasses a range of topics with primary focuses on artificial intelligence and statistics and probability, reflecting a strong interdisciplinary approach.

The main areas of study in Montanari's work include:

  • Computer Science
  • Mathematics

Within these broader fields, Montanari has concentrated on several subfields, including:

  • Artificial Intelligence
  • Statistics and Probability
  • Computational Mechanics
  • Condensed Matter Physics
  • Computational Theory and Mathematics

Their research addresses various advanced topics such as:

  • Statistical Methods and Inference
  • Sparse and Compressive Sensing Techniques
  • Neural Networks and Applications
  • Theoretical and Computational Physics
  • Stochastic Gradient Optimization Techniques
  • Random Matrices and Applications
  • Markov Chains and Monte Carlo Methods

Andrea Montanari has published in multiple academic venues, with a notable frequency in:

  • arXiv (Cornell University)
  • The Annals of Statistics
  • Probability Theory and Related Fields
  • Journal of Statistical Mechanics Theory and Experiment
  • The Annals of Probability

Their recent publications provide insight into current research directions, including the following key papers:

  • "Surprises in high-dimensional ridgeless least squares interpolation," 2022, The Annals of Statistics
  • "Underspecification Presents Challenges for Credibility in Modern Machine Learning," 2020, arXiv (Cornell University)
  • "The Generalization Error of Random Features Regression: Precise Asymptotics and the Double Descent Curve," 2021, Communications on Pure and Applied Mathematics
  • "Early prediction of preeclampsia via machine learning," 2020, American Journal of Obstetrics & Gynecology MFM
  • "Discovery of sparse, reliable omic biomarkers with Stabl," 2024, Nature Biotechnology

Collaboration is a notable aspect of Montanari's work, with frequent coauthors including:

  • A. El Alaoui
  • Mark Sellke
  • Theodor Misiakiewicz
  • Michael Celentano
  • Mei Song

Best Publications

  • Message-passing algorithms for compressed sensing

    David L. Donoho;Arian Maleki;Andrea Montanari

  • Information, Physics, and Computation

    Marc Mezard;Andrea Montanari

  • Matrix Completion From a Few Entries

    Raghunandan H Keshavan;Andrea Montanari;Sewoong Oh

  • The Dynamics of Message Passing on Dense Graphs, with Applications to Compressed Sensing

    M Bayati;A Montanari

  • Confidence intervals and hypothesis testing for high-dimensional regression

    Adel Javanmard;Andrea Montanari

  • Matrix Completion from Noisy Entries

    Raghunandan H. Keshavan;Andrea Montanari;Sewoong Oh

  • A mean field view of the landscape of two-layer neural networks.

    Song Mei;Andrea Montanari;Phan-Minh Nguyen

  • Surprises in High-Dimensional Ridgeless Least Squares Interpolation.

    Trevor Hastie;Andrea Montanari;Saharon Rosset;Ryan J. Tibshirani

  • Message passing algorithms for compressed sensing: I. motivation and construction

    David L. Donoho;Arian Maleki;Andrea Montanari

  • Gibbs states and the set of solutions of random constraint satisfaction problems

    Florent Krzakała;Andrea Montanari;Federico Ricci-Tersenghi;Guilhem Semerjian

  • The spread of innovations in social networks

    Andrea Montanari;Amin Saberi

  • Underspecification Presents Challenges for Credibility in Modern Machine Learning

    Alexander D'Amour;Katherine A. Heller;Dan Moldovan;Ben Adlam

  • The generalization error of random features regression: Precise asymptotics and double descent curve

    Song Mei;Andrea Montanari

  • The Generalization Error of Random Features Regression: Precise Asymptotics and the Double Descent Curve

    Song Mei;Andrea Montanari

  • The Noise-Sensitivity Phase Transition in Compressed Sensing

    D. L. Donoho;A. Maleki;A. Montanari

  • The LASSO Risk for Gaussian Matrices

    M. Bayati;A. Montanari

  • Information-Theoretically Optimal Compressed Sensing via Spatial Coupling and Approximate Message Passing

    David L. Donoho;Adel Javanmard;Andrea Montanari

  • The landscape of empirical risk for nonconvex losses

    Song Mei;Yu Bai;Andrea Montanari

  • Counter braids: a novel counter architecture for per-flow measurement

    Yi Lu;Andrea Montanari;Balaji Prabhakar;Sarang Dharmapurikar

  • Matrix completion from a few entries

    Raghunandan H. Keshavan;Sewoong Oh;Andrea Montanari

  • A Mean Field View of the Landscape of Two-Layers Neural Networks

    Song Mei;Andrea Montanari;Phan-Minh Nguyen

Frequent Co-Authors

Rudiger Urbanke
Rudiger Urbanke École Polytechnique Fédérale de Lausanne
Sewoong Oh
Sewoong Oh University of Washington
David L. Donoho
David L. Donoho Stanford University
Emmanuel Abbe
Emmanuel Abbe École Polytechnique Fédérale de Lausanne
Amir Dembo
Amir Dembo Stanford University
Stratis Ioannidis
Stratis Ioannidis Northeastern University
Amin Saberi
Amin Saberi Stanford University
Tom Richardson
Tom Richardson Qualcomm (United States)
Allan Sly
Allan Sly Princeton University
Balaji Prabhakar
Balaji Prabhakar Stanford University

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