World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
22279
World Ranking
9464
National Ranking
4007

Sudha Ram 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 Sudha Ram 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: 237 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Sudha Ram 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 Sudha Ram 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: 39 D-Index — 33rd percentile

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

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

Overview

Sudha Ram is affiliated with the University of Arizona in the United States. Their research intersects multiple disciplines, primarily Medicine, Computer Science, and Social Sciences, with a focus on several subfields including Artificial Intelligence, Sociology and Political Science, Surgery, Transportation, and Statistics and Probability.

Their work spans a diverse range of topics, notably:

  • Information Systems Theories and Implementation
  • Human Mobility and Location-Based Analysis
  • Traffic Prediction and Management Techniques
  • Transportation Planning and Optimization
  • Machine Learning in Healthcare
  • Explainable Artificial Intelligence (XAI)
  • Topic Modeling

Sudha Ram has contributed to both journal articles and book publications. One of their books, published by Springer Science+Business Media in 2020, is titled Advances in Conceptual Modeling.

The scientist's recent papers include the following:

  • A Novel Fracture Prediction Model Using Machine Learning in a Community-Based Cohort, 2020, JBMR Plus
  • A Comprehensive Analysis of Triggers and Risk Factors for Asthma Based on Machine Learning and Large Heterogeneous Data Sources, 2020, MIS Quarterly
  • Artificial Intelligence in Information Systems: State of the Art and Research Roadmap, 2022, Communications of the Association for Information Systems
  • Deep Learning of Spatiotemporal Patterns for Urban Mobility Prediction Using Big Data, 2022, Information Systems Research
  • ROLEX: A Novel Method for Interpretable Machine Learning Using Robust Local Explanations, 2023, MIS Quarterly

Frequent collaborators in their work include:

  • Faiz Currim
  • Karthik Srinivasan
  • Buomsoo Kim
  • Pavan Kumar Machavarapu
  • Sung Hye Kong

Publication venues where Sudha Ram has multiple works include:

  • MIS Quarterly
  • Information Systems Research
  • Interdisciplinary Neurosurgery
  • JBMR Plus
  • Communications of the Association for Information Systems

Best Publications

  • Design science in information systems research

    Alan R. Hevner;Salvatore T. March;Jinsoo Park;Sudha Ram

  • Consumer Resistance to Innovations: The Marketing Problem and its solutions

    S. Ram;Jagdish N. Sheth

  • The iPlant Collaborative: Cyberinfrastructure for Plant Biology.

    Stephen A Goff;Matthew Vaughn;Sheldon McKay;Eric Lyons

  • Information systems interoperability: What lies beneath?

    Jinsoo Park;Sudha Ram

  • Semantic conflict resolution ontology (SCROL): an ontology for detecting and resolving data and schema-level semantic conflicts

    Sudha Ram;Jinsoo Park

  • Predicting Asthma-Related Emergency Department Visits Using Big Data

    Sudha Ram;Wenli Zhang;Max Williams;Yolande Pengetnze

  • Research Commentary: An Agenda for Information Technology Research in Heterogeneous and Distributed Environments

    Salvatore March;Alan Hevner;Sudha Ram

  • Who does what: Collaboration patterns in the wikipedia and their impact on article quality

    Jun Liu;Sudha Ram

  • Multi-user view integration system (MUVIS): an expert system for view integration

    S. Hayne;S. Ram

  • Research challenges and opportunities in business analytics

    Dursun Delen;Sudha Ram

  • Bringing innovation to market

    Jagdish N. Sheth;S. Ram

  • Conceptual Modeling - ER 2006

    David W. Embley;Antoni Olivé;Sudha Ram

  • The conceptualization and measurement of product usage

    S. Ram;Hyung Shik Jung

  • Conceptual Modeling – ER ’98

    Tok-Wang Ling;Sudha Ram;Mong Li Lee

  • Large-Scale Network Analysis for Online Social Brand Advertising

    Kunpeng Zhang;Siddhartha Bhattacharyya;Sudha Ram

  • Database fragmentation and allocation: an integrated methodology and case study

    A.M. Tamhankar;S. Ram

  • HyperIntelligence: the next frontier

    Sudha Ram;David A. Carlson

  • A new perspective on semantics of data provenance

    Sudha Ram;Jun Liu

  • The relational model is dead, SQL is dead, and I don't feel so good myself

    Paolo Atzeni;Christian S. Jensen;Giorgio Orsi;Sudha Ram

  • Understanding the semantics of data provenance to support active conceptual modeling

    Sudha Ram;Jun Liu

  • Proceedings of the 1997 ACM SIGMOD international conference on Management of data

    Joan M. Peckman;Sudha Ram;Michael Franklin

Frequent Co-Authors

Huimin Zhao
Huimin Zhao University of Illinois at Urbana-Champaign
Richard T. Snodgrass
Richard T. Snodgrass University of Arizona
Jan vom Brocke
Jan vom Brocke University of Münster
Tok Wang Ling
Tok Wang Ling National University of Singapore
Daniel Zeng
Daniel Zeng Chinese Academy of Sciences
David W. Embley
David W. Embley Brigham Young University
Matti Rossi
Matti Rossi Aalto University
Matthias R. Mehl
Matthias R. Mehl University of Arizona
Matthias Jarke
Matthias Jarke RWTH Aachen University
Mong Li Lee
Mong Li Lee National University of Singapore

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