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Rayid Ghani 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 Rayid Ghani 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+

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

Rayid Ghani 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 Rayid Ghani 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+

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

Overview

Rayid Ghani is affiliated with Carnegie Mellon University in the United States and conducts research primarily in the field of Computer Science, with a strong focus on Artificial Intelligence. Their scholarly work spans subfields including Artificial Intelligence, Safety Research, Electrical and Electronic Engineering, General Health Professions, and Management Science and Operations Research.

Their research addresses topics such as Explainable Artificial Intelligence (XAI), Ethics and Social Impacts of AI, Machine Learning and Data Classification, Homelessness and Social Issues, Health Systems, Economic Evaluations, Quality of Life, HIV/AIDS Research and Interventions, and HIV, Drug Use, Sexual Risk.

Frequent publication venues for their research include arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, Data & Policy, BMJ, and Scientific Reports.

Recent papers authored or co-authored by Rayid Ghani include:

  • Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness, 2020, BMJ
  • Empirical observation of negligible fairness-accuracy trade-offs in machine learning for public policy, 2020, arXiv (Cornell University)
  • Explainable machine learning for public policy: Use cases, gaps, and research directions, 2023, Data & Policy
  • Predictive Analytics for Retention in Care in an Urban HIV Clinic, 2020, Scientific Reports
  • Validation of a Machine Learning Model to Predict Childhood Lead Poisoning, 2020, JAMA Network Open

Co-authors frequently collaborating with Rayid Ghani include Kit T. Rodolfa, Kasun Amarasinghe, Hemank Lamba, Sebastian J. Vollmer, and Bilal A. Mateen.

Best Publications

  • Analyzing the effectiveness and applicability of co-training

    Kamal Nigam;Rayid Ghani

  • A Study of Approaches to Hypertext Categorization

    Yiming Yang;Seán Slattery;Rayid Ghani

  • Machine learning and artificial intelligence research for patient benefit: 20 critical questions on transparency, replicability, ethics, and effectiveness

    S Vollmer;B A Mateen;B A Mateen;B A Mateen;G Bohner;G Bohner;F J Király;F J Király

  • Text mining for product attribute extraction

    Rayid Ghani;Katharina Probst;Yan Liu;Marko Krema

  • A Machine Learning Framework to Identify Students at Risk of Adverse Academic Outcomes

    Himabindu Lakkaraju;Everaldo Aguiar;Carl Shan;David Miller

  • System for individualized customer interaction

    Andrew E. Fano;Chad M. Cumby;Rayid Ghani;Marko Krema

  • Combining Labeled and Unlabeled Data for MultiClass Text Categorization

    Rayid Ghani

  • Using Error-Correcting Codes for Text Classification

    Rayid Ghani

  • Big Data and Social Science: A Practical Guide to Methods and Tools

    Ian Foster;Rayid Ghani;Ron S. Jarmin;Frauke Kreuter

  • Mining the web to create minority language corpora

    Rayid Ghani;Rosie Jones;Dunja Mladenić

  • Data Mining on Symbolic Knowledge Extracted from the Web

    Rayid Ghani;Seán Slattery

  • Hypertext Categorization using Hyperlink Patterns and Meta Data

    Rayid Ghani;Seán Slattery;Yiming Yang

  • Aequitas: A Bias and Fairness Audit Toolkit.

    Pedro Saleiro;Benedict Kuester;Abby Stevens;Ari Anisfeld

  • Data mining to predict and prevent errors in health insurance claims processing

    Mohit Kumar;Rayid Ghani;Zhu-Song Mei

  • Promotion planning system

    Andrew E. Fano;Chad M. Cumby;Rayid Ghani;Marko Krema

  • Semi-supervised learning of attribute-value pairs from product descriptions

    Katharina Probst;Rayid Ghani;Marko Krema;Andrew Fano

  • Combining labeled and unlabeled data for text classification with a large number of categories

    R. Ghani

  • Price prediction and insurance for online auctions

    Rayid Ghani

  • A Machine Learning Based System for Semi-Automatically Redacting Documents

    Chad M. Cumby;Rayid Ghani

  • Empirical observation of negligible fairness–accuracy trade-offs in machine learning for public policy

    Kit T. Rodolfa;Hemank Lamba;Rayid Ghani

Frequent Co-Authors

Frauke Kreuter
Frauke Kreuter Ludwig-Maximilians-Universität München
Julia Lane
Julia Lane New York University
Dunja Mladenic
Dunja Mladenic Jožef Stefan Institute
Ian Foster
Ian Foster University of Chicago
Yiming Yang
Yiming Yang Carnegie Mellon University
Ron S. Jarmin
Ron S. Jarmin United States Census Bureau
John A. Schneider
John A. Schneider University of Chicago
Jure Leskovec
Jure Leskovec Stanford University
Geoffrey J. McLachlan
Geoffrey J. McLachlan University of Queensland

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