World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
12685
World Ranking
4294
National Ranking
2022

Suman Nath 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 Suman Nath 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: 196 publications — 45th percentile

45% of scientists in this discipline score the same or lower.

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

Suman Nath 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 Suman Nath 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: 55 D-Index — 71st percentile

71% 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

  • 2016 - ACM Distinguished Member
  • 2011 - ACM Senior Member

Overview

Suman Nath is affiliated with Microsoft in the United States. Their research spans multiple areas within computer science, with a particular focus on software system performance and reliability as well as software testing and debugging techniques. Nath's work also intersects with political science and sociology, exploring themes such as political conflict, governance, and religion and development.

The scientist's notable recent publications include:

  • Political campaigning in West Bengal: violence, professionalisation, and communalisation, 2022, published in South Asian History and Culture
  • Party-people and local governance in an Indian state: a longitudinal study on the roots of electoral violence, 2020, published in India Review

While Nath has contributed to interdisciplinary areas involving political science, most of their publication record lies within computer science fields.

Main fields of study covered by their research are:

  • Computer Science

Subfields of study include:

  • Computer Networks and Communications
  • Information Systems
  • Software
  • Political Science and International Relations
  • Sociology and Political Science

Several topics frequently addressed in their body of work are:

  • Software System Performance and Reliability
  • Software Testing and Debugging Techniques
  • Software Engineering Research
  • Advanced Malware Detection Techniques
  • Politics and Conflicts in Afghanistan, Pakistan, and Middle East
  • Political Conflict and Governance
  • Religion, Society, and Development

Suman Nath has collaborated recurrently with various co-authors, including:

  • Chetan Bansal
  • Tanakorn Leesatapornwongsa
  • Subhasish Ray
  • Manish Shetty
  • Sean Bowles

Some of Nath's work appears alongside these collaborators in venues such as the Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, and the Proceedings of the 44th International Conference on Software Engineering.

Selected recent papers involving Nath or their collaborators include:

  • FlakeRepro: automated and efficient reproduction of concurrency-related flaky tests, 2022, Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
  • DeepAnalyze, 2022, Proceedings of the 44th International Conference on Software Engineering
  • Building AI Agents for Autonomous Clouds: Challenges and Design Principles, 2024, arXiv (Cornell University)

The scientist's publications are frequently found in venues such as:

  • arXiv (Cornell University)
  • Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering
  • South Asian History and Culture
  • Proceedings of the 44th International Conference on Software Engineering
  • Computer

Suman Nath has been recognized by the Association for Computing Machinery, holding distinctions as an ACM Senior Member since 2011 and an ACM Distinguished Member awarded in 2016.

Best Publications

  • Energy-aware server provisioning and load dispatching for connection-intensive internet services

    Gong Chen;Wenbo He;Jie Liu;Suman Nath

  • Synopsis diffusion for robust aggregation in sensor networks

    Suman Nath;Phillip B. Gibbons;Srinivasan Seshan;Zachary Anderson

  • IrisNet: an architecture for a worldwide sensor Web

    P.B. Gibbons;B. Karp;Y. Ke;S. Nath

  • Synopsis diffusion for robust aggregation in sensor networks

    Suman Nath;Phillip B. Gibbons;Srinivasan Seshan;Zachary R. Anderson

  • Differentially private aggregation of distributed time-series with transformation and encryption

    Vibhor Rastogi;Suman Nath

  • SenseWeb: An Infrastructure for Shared Sensing

    W.I. Grosky;A. Kansal;S. Nath;Jie Liu

  • PUMA: programmable UI-automation for large-scale dynamic analysis of mobile apps

    Shuai Hao;Bin Liu;Suman Nath;William G.J. Halfond

  • Tributaries and deltas: efficient and robust aggregation in sensor network streams

    Amit Manjhi;Suman Nath;Phillip B. Gibbons

  • Associating geographic-related information with objects

    Suman K. Nath

  • FlashDB: dynamic self-tuning database for NAND flash

    Suman Nath;Aman Kansal

  • Rethinking Database Algorithms for Phase Change Memory

    Shimin Chen;Phillip B. Gibbons;Suman Nath

  • ACE: exploiting correlation for energy-efficient and continuous context sensing

    Suman Nath

  • Data Management in the Worldwide Sensor Web

    M. Balazinska;A. Deshpande;M.J. Franklin;P.B. Gibbons

  • Cache-and-query for wide area sensor databases

    Amol Deshpande;Suman Nath;Phillip B. Gibbons;Srinivasan Seshan

  • Fast approximate correlation for massive time-series data

    Abdullah Mueen;Suman Nath;Jie Liu

  • SensorMap for Wide-Area Sensor Webs

    S. Nath;Jie Liu;Feng Zhao

  • IrisNet: an internet-scale architecture for multimedia sensors

    Jason Campbell;Phillip B. Gibbons;Suman Nath;Padmanabhan Pillai

  • DECAF: detecting and characterizing ad fraud in mobile apps

    Bin Liu;Suman Nath;Ramesh Govindan;Jie Liu

  • Brahmastra: driving apps to test the security of third-party components

    Ravi Bhoraskar;Seungyeop Han;Jinseong Jeon;Tanzirul Azim

  • Automatic and scalable fault detection for mobile applications

    Lenin Ravindranath;Suman Nath;Jitendra Padhye;Hari Balakrishnan

Frequent Co-Authors

Jie Liu
Jie Liu Harbin Institute of Technology
Phillip B. Gibbons
Phillip B. Gibbons Carnegie Mellon University
Feng Zhao
Feng Zhao Microsoft (United States)
Srinivasan Seshan
Srinivasan Seshan Carnegie Mellon University
Aman Kansal
Aman Kansal Microsoft (United States)
Amol Deshpande
Amol Deshpande University of Maryland, College Park
Tarek Abdelzaher
Tarek Abdelzaher University of Illinois at Urbana-Champaign
Mohamed F. Mokbel
Mohamed F. Mokbel University of Minnesota
Dimitrios Lymberopoulos
Dimitrios Lymberopoulos Microsoft (United States)
Ranveer Chandra
Ranveer Chandra Microsoft (United States)

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