World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
45
Citations
7972
World Ranking
7223
National Ranking
3153

Alexander G. Gray 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 Alexander G. Gray 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: 154 publications — 28th percentile

28% of scientists in this discipline score the same or lower.

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

Alexander G. Gray 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 Alexander G. Gray 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

Alexander G. Gray is affiliated with the Georgia Institute of Technology in the United States. Their research primarily spans the field of Computer Science, with a focused concentration on several subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Computational Theory and Mathematics, Parasitology, and Ecology, Evolution, Behavior and Systematics.

Their work encompasses a variety of topics related to artificial intelligence and machine learning, notably:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Bayesian Modeling and Causal Inference
  • Reinforcement Learning in Robotics
  • Logic, Reasoning, and Knowledge
  • Explainable Artificial Intelligence (XAI)
  • Machine Learning and Data Classification

Alexander G. Gray has collaborated frequently with several researchers, including Parikshit Ram, Ryan Riegel, Pavan Kapanipathi, Salim Roukos, and Subhajit Chaudhury.

The main venues where their research has been published include:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Frontiers in Oncology
  • Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  • Current Research in Parasitology and Vector-Borne Diseases

Some of their recent papers are:

  • Logical Neural Networks, 2020, arXiv (Cornell University)
  • An ADMM Based Framework for AutoML Pipeline Configuration, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Systematic Review and Meta-Analysis of Correlation of Progression-Free Survival-2 and Overall Survival in Solid Tumors, 2020, Frontiers in Oncology
  • A Semantic Parsing and Reasoning-Based Approach to Knowledge Base Question Answering, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Neuro-Symbolic Reinforcement Learning with First-Order Logic, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Best Publications

  • An Investigation of Practical Approximate Nearest Neighbor Algorithms

    Ting Liu;Andrew W. Moore;Ke Yang;Alexander G. Gray

  • Efficient photometric selection of quasars from the sloan digital sky survey: 100,000 z < 3 quasars from data release one

    Gordon T. Richards;Gordon T. Richards;Adam D. Myers;Alexander G. Gray;Ryan N. Riegel

  • Statistics, Data Mining, and Machine Learning in Astronomy: A Practical Python Guide for the Analysis of Survey Data

    Zeljko Ivezic;Andrew J. Connolly;Jacob T. VanderPlas;Alexander Gray

  • Human-AI Collaboration in Data Science: Exploring Data Scientists' Perceptions of Automated AI

    Dakuo Wang;Justin D. Weisz;Michael Muller;Parikshit Ram

  • `N-Body' Problems in Statistical Learning

    Alexander G. Gray;Andrew W. Moore

  • Statistics, Data Mining, and Machine Learning in Astronomy

    Željko Ivezić;Andrew J. Connelly;Jacob T. Vanderplas;Alexander Gray

  • Efficient Photometric Selection of Quasars from the Sloan Digital Sky Survey: 100,000 z<3 Quasars from Data Release One

    Gordon T. Richards;Robert C. Nichol;Alexander G. Gray;Robert J. Brunner

  • Stochastic Alternating Direction Method of Multipliers

    Hua Ouyang;Niao He;Long Tran;Alexander Gray

  • Nonparametric Density Estimation: Toward Computational Tractability.

    Alexander G. Gray;Andrew W. Moore

  • High redshift detection of the integrated Sachs-Wolfe effect

    Tommaso Giannantonio;Robert G. Crittenden;Robert C. Nichol;Ryan Scranton

  • Detecting spammers with SNARE: spatio-temporal network-level automatic reputation engine

    Shuang Hao;Nadeem Ahmed Syed;Nick Feamster;Alexander G. Gray

  • MLPACK: a scalable C++ machine learning library

    Ryan R. Curtin;James R. Cline;N. P. Slagle;William B. March

  • Maximum inner-product search using cone trees

    Parikshit Ram;Alexander G. Gray

  • Automated design of quantum circuits

    C. P. Williams;A. G. Gray

  • Ovarian cancer detection from metabolomic liquid chromatography/mass spectrometry data by support vector machines.

    Wei Guan;Manshui Zhou;Christina Young Hampton;Benedict B. Benigno

  • New Algorithms for Efficient High-Dimensional Nonparametric Classification

    Ting Liu;Andrew W. Moore;Alexander Gray

  • Fast euclidean minimum spanning tree: algorithm, analysis, and applications

    William B. March;Parikshit Ram;Alexander G. Gray

  • The three-point correlation function of luminous red galaxies in the Sloan Digital Sky Survey

    Gauri V. Kulkarni;Robert C. Nichol;Robert C. Nichol;Ravi K. Sheth;Hee-Jong Seo

  • Density estimation trees

    Parikshit Ram;Alexander G. Gray

  • Retrofitting decision tree classifiers using kernel density estimation

    Padhraic Smyth;Alexander G. Gray;Usama M. Fayyad

  • Logical Neural Networks

    Ryan Riegel;Alexander G. Gray;Francois P. S. Luus;Naweed Khan

  • New Algorithms for Efficient High Dimensional Non-parametric Classification

    Ting liu;Andrew W. Moore;Alexander Gray

  • SNARE: Spatio-temporal Network-level Automatic Reputation Engine

    Nick Feamster;Alexander G. Gray;Sven Krasser;Nadeem Ahmed Syed

  • Statistics, Data Mining, and Machine Learning in Astronomy : A Practical Python Guide for the Analysis of Survey Data, Updated Edition

    Željko Ivezić;Andrew J. Connolly;Jacob T. VanderPlas;Alexander Gray

Frequent Co-Authors

Gordon T. Richards
Gordon T. Richards Drexel University
Robert J. Brunner
Robert J. Brunner University of Illinois at Urbana-Champaign
Zeljko Ivezic
Zeljko Ivezic University of Washington
Robert C. Nichol
Robert C. Nichol University of Surrey
Andrew W. Moore
Andrew W. Moore Carnegie Mellon University
Salim Roukos
Salim Roukos IBM (United States)
Donald P. Schneider
Donald P. Schneider Pennsylvania State University
Adam D. Myers
Adam D. Myers University of Wyoming
Alexander S. Szalay
Alexander S. Szalay Johns Hopkins University
John F. McDonald
John F. McDonald Georgia Institute of Technology

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