World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
8028
World Ranking
7217
National Ranking
3151

Aydin Buluc publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Aydin Buluc sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 167 publications — 33rd percentile

33% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Aydin Buluc D-index placement in Computer Science in 2026

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

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 45 D-Index — 51st percentile

51% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Aydin Buluc is affiliated with the Lawrence Berkeley National Laboratory in the United States. Their research spans a range of interdisciplinary fields primarily within computer science and biochemistry, genetics, and molecular biology.

The main fields of study for Aydin Buluc include:

  • Computer Science
  • Biochemistry, Genetics and Molecular Biology

Their work further extends into subfields such as:

  • Molecular Biology
  • Computer Networks and Communications
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Plant Science

Aydin Buluc's research topics cover a range of focused areas, including:

  • Genomics and Phylogenetic Studies
  • Graph Theory and Algorithms
  • Advanced Graph Neural Networks
  • Stochastic Gradient Optimization Techniques
  • Algorithms and Data Compression
  • Caching and Content Delivery
  • Bioinformatics and Genomic Networks

The scientist has published frequently in the following venues:

  • arXiv (Cornell University)
  • bioRxiv (Cold Spring Harbor Laboratory)
  • 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
  • ACM Transactions on Parallel Computing
  • INFORMS Journal on Computing

Recent papers authored or co-authored by Aydin Buluc include:

  • "Critical Assessment of Metagenome Interpretation: the second round of challenges" (2022, Nature Methods)
  • "GraphBLAST: A High-Performance Linear Algebra-based Graph Framework on the GPU" (2022, ACM Transactions on Mathematical Software)
  • "Terabase-scale metagenome coassembly with MetaHipMer" (2020, Scientific Reports)
  • "Critical Assessment of Metagenome Interpretation - the second round of challenges" (2021, bioRxiv (Cold Spring Harbor Laboratory))
  • "ADEPT: a domain independent sequence alignment strategy for gpu architectures" (2020, BMC Bioinformatics)

Frequent collaborators in Aydin Buluc's research include:

  • Oğuz Selvitopi
  • Ariful Azad
  • Leonid Oliker
  • Katherine Yelick
  • Steven Hofmeyr

Best Publications

  • Parallel sparse matrix-vector and matrix-transpose-vector multiplication using compressed sparse blocks

    Aydin Buluç;Jeremy T. Fineman;Matteo Frigo;John R. Gilbert

  • The Combinatorial BLAS: design, implementation, and applications

    Aydın Buluç;John R Gilbert

  • Recent Advances in Graph Partitioning

    Aydın Buluç;Henning Meyerhenke;Ilya Safro;Peter Sanders

  • Parallel breadth-first search on distributed memory systems

    Aydin Buluc;Kamesh Madduri

  • A whole-genome shotgun approach for assembling and anchoring the hexaploid bread wheat genome

    Jarrod A Chapman;Martin Mascher;Aydın Buluç;Kerrie Barry

  • On the representation and multiplication of hypersparse matrices

    A. Buluc;J.R. Gilbert

  • Mathematical foundations of the GraphBLAS

    Jeremy Kepner;Peter Aaltonen;David Bader;Aydin Buluc

  • Parallel Sparse Matrix-Matrix Multiplication and Indexing: Implementation and Experiments

    Aydin Buluç;John R. Gilbert

  • Mathematical Foundations of the GraphBLAS

    Jeremy Kepner;Peter Aaltonen;David Bader;Aydın Buluc

  • Solving path problems on the GPU

    Aydın Buluç;John R. Gilbert;Ceren Budak

  • Parallel Triangle Counting and Enumeration Using Matrix Algebra

    Ariful Azad;Aydin Buluc;John Gilbert

  • HipMCL: a high-performance parallel implementation of the Markov clustering algorithm for large-scale networks.

    Ariful Azad;Georgios A Pavlopoulos;Christos A Ouzounis;Nikos C Kyrpides

  • Challenges and Advances in Parallel Sparse Matrix-Matrix Multiplication

    A. Buluc;J.R. Gilbert

  • Reduced-Bandwidth Multithreaded Algorithms for Sparse Matrix-Vector Multiplication

    Aydin Buluç;Samuel Williams;Leonid Oliker;James Demmel

  • Standards for graph algorithm primitives

    Tim Mattson;David Bader;Jon Berry;Aydin Buluc

  • Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication

    Ariful Azad;Grey Ballard;Aydin Buluç;James Demmel

  • Design Principles for Sparse Matrix Multiplication on the GPU

    Carl Yang;Aydın Buluç;John D. Owens

  • Optimizing Sparse Matrix-Multiple Vectors Multiplication for Nuclear Configuration Interaction Calculations

    Hasan Metin Aktulga;Aydin Buluç;Samuel Williams;Chao Yang

  • Communication optimal parallel multiplication of sparse random matrices

    Grey Ballard;Aydin Buluc;James Demmel;Laura Grigori

  • Parallel de bruijn graph construction and traversal for de novo genome assembly

    Evangelos Georganas;Aydin Buluc;Jarrod Chapman;Leonid Oliker

  • Distributed Memory Breadth-First Search Revisited: Enabling Bottom-Up Search

    Scott Beamer;Aydin Buluc;Krste Asanovic;David Patterson

  • Reducing Communication in Graph Neural Network Training

    Alok Tripathy;Katherine Yelick;Aydin Buluc

  • Parallel Sparse Matrix-Matrix Multiplication and Indexing: Implementation and Experiments

    Aydin Buluc;John Gilbert

Frequent Co-Authors

Katherine Yelick
Katherine Yelick University of California, Berkeley
John R. Gilbert
John R. Gilbert University of California, Santa Barbara
Leonid Oliker
Leonid Oliker Lawrence Berkeley National Laboratory
Daniel S. Rokhsar
Daniel S. Rokhsar University of California, Berkeley
John D. Owens
John D. Owens University of California, Davis
James Demmel
James Demmel University of California, Berkeley
José E. Moreira
José E. Moreira IBM (United States)
Samuel Williams
Samuel Williams Lawrence Berkeley National Laboratory
David A. Bader
David A. Bader New Jersey Institute of Technology

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