World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
13139
World Ranking
3441
National Ranking
1663

David A. Bader 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 David A. Bader 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: 307 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

David A. Bader 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 David A. Bader 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: 59 D-Index — 77th percentile

77% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2019 - SIAM Fellow For contributions in high-performance algorithms and streaming analytics, and for leadership in the field of computational science.
  • 2011 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

David A. Bader is affiliated with the New Jersey Institute of Technology in the United States. Their research primarily falls within the field of Computer Science, with a focus on several subfields including Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition, Hardware and Architecture, and Statistical and Nonlinear Physics.

The scientist's work spans multiple main topics, notably Advanced Graph Neural Networks, Graph Theory and Algorithms, Complex Network Analysis Techniques, Algorithms and Data Compression, Network Packet Processing and Optimization, Parallel Computing and Optimization Techniques, and Quantum Computing Algorithms and Architecture.

Frequent collaboration is evident through coauthors such as Zhihui Du, Oliver Alvarado Rodriguez, Fuhuan Li, Palina Pauliuchenka, and Mohammad Dindoost. Publication venues where their work appears regularly include arXiv (Cornell University), Algorithms, Proceedings of the VLDB Endowment, PRX Quantum, and ACM Journal of Experimental Algorithmics.

Selected recent papers authored or coauthored by David A. Bader include:

  • Traversing large graphs on GPUs with unified memory, 2020, Proceedings of the VLDB Endowment
  • Interactive Graph Stream Analytics in Arkouda, 2021, Algorithms
  • End-To-End Resource Analysis for Quantum Interior-Point Methods and Portfolio Optimization, 2023, PRX Quantum
  • Scalable Katz Ranking Computation in Large Static and Dynamic Graphs, 2022, ACM Journal of Experimental Algorithmics
  • Anomaly Detection in Catalog Streams, 2022, IEEE Transactions on Big Data

David A. Bader has been recognized with awards including being named a SIAM Fellow in 2019 for contributions in high-performance algorithms and streaming analytics, and leadership in computational science. In 2011, they were honored as a Fellow of the American Association for the Advancement of Science (AAAS).

Best Publications

  • Applications

    Unknown

  • A linear-time algorithm for computing inversion distance between signed permutations with an experimental study.

    David A. Bader;Bernard M. E. Moret;Mi Yan

  • Approximating betweenness centrality

    David A. Bader;Shiva Kintali;Kamesh Madduri;Milena Mihail

  • Scalable Graph Exploration on Multicore Processors

    Virat Agarwal;Fabrizio Petrini;Davide Pasetto;David A. Bader

  • Designing Multithreaded Algorithms for Breadth-First Search and st-connectivity on the Cray MTA-2

    D.A. Bader;K. Madduri

  • Parallel Algorithms for Evaluating Centrality Indices in Real-world Networks

    D.A. Bader;K. Madduri

  • STINGER: High performance data structure for streaming graphs

    David Ediger;Rob McColl;Jason Riedy;David A. Bader

  • Graph Partitioning and Graph Clustering

    David Bader;Henning Meyerhenke;Peter Sanders;Dorothea Wagner

  • A faster parallel algorithm and efficient multithreaded implementations for evaluating betweenness centrality on massive datasets

    Kamesh Madduri;David Ediger;Karl Jiang;David A. Bader

  • Mathematical foundations of the GraphBLAS

    Jeremy Kepner;Peter Aaltonen;David Bader;Aydin Buluc

  • Massive Social Network Analysis: Mining Twitter for Social Good

    David Ediger;Karl Jiang;Jason Riedy;David A. Bader

  • A new implementation and detailed study of breakpoint analysis.

    Bernard M. E. Moret;Stacia K. Wyman;David A. Bader;Tandy J. Warnow

  • Design and implementation of the HPCS graph analysis benchmark on symmetric multiprocessors

    David A. Bader;Kamesh Madduri

  • A fast, parallel spanning tree algorithm for symmetric multiprocessors (SMPs)

    David A. Bader;Guojing Cong

  • SNAP, Small-world Network Analysis and Partitioning: An open-source parallel graph framework for the exploration of large-scale networks

    D.A. Bader;K. Madduri

  • Fast shared-memory algorithms for computing the minimum spanning forest of sparse graphs

    David A. Bader;Guojing Cong

  • Mathematical Foundations of the GraphBLAS

    Jeremy Kepner;Peter Aaltonen;David Bader;Aydın Buluc

  • Detecting insider threats in a real corporate database of computer usage activity

    Ted E. Senator;Henry G. Goldberg;Alex Memory;William T. Young

  • Dynamic Load Balancing in Distributed Systems in the Presence of Delays: A Regeneration-Theory Approach

    Sagar Dhakal;Majeed M. Hayat;Jorge E. Pezoa;Cundong Yang

  • GPU merge path: a GPU merging algorithm

    Oded Green;Robert McColl;David A. Bader

  • Benchmarking for Graph Clustering and Partitioning

    David A. Bader;Henning Meyerhenke;Peter Sanders;Christian Schulz

Frequent Co-Authors

Joseph JaJa
Joseph JaJa University of Maryland, College Park
Bernard M. E. Moret
Bernard M. E. Moret École Polytechnique Fédérale de Lausanne
Srinivas Aluru
Srinivas Aluru Georgia Institute of Technology
Viktor K. Prasanna
Viktor K. Prasanna University of Southern California
Jijun Tang
Jijun Tang University of South Carolina
Aydin Buluc
Aydin Buluc Lawrence Berkeley National Laboratory
Manish Parashar
Manish Parashar University of Utah
John R. Gilbert
John R. Gilbert University of California, Santa Barbara
Tandy Warnow
Tandy Warnow University of Illinois at Urbana-Champaign

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