World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
8501
World Ranking
9176
National Ranking
3905

Hari Sundaram 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 Hari Sundaram 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: 209 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Hari Sundaram 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 Hari Sundaram 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: 40 D-Index — 37th percentile

37% 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 - ACM Distinguished Member

Overview

Hari Sundaram is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research primarily spans the field of Computer Science, with a significant focus on Artificial Intelligence, Information Systems, Sociology and Political Science, Communication, and Computer Science Applications.

Their work covers a range of main topics, including:

  • Topic Modeling
  • Advanced Graph Neural Networks
  • Recommender Systems and Techniques
  • Hate Speech and Cyberbullying Detection
  • Social Media and Politics
  • Mobile Crowdsensing and Crowdsourcing
  • Complex Network Analysis Techniques

Hari Sundaram has contributed to numerous publications, frequently appearing in these venues:

  • arXiv (Cornell University) - 18 publications
  • Proceedings of the ACM on Human-Computer Interaction - 7 publications
  • Journal of Advertising
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Journal of Adolescent Health

Some recent papers involving their research include:

  • "Macro and Exogenous Factors in Computational Advertising: Key Issues and New Research Directions" (2020), Journal of Advertising
  • "Auditing Race and Gender Discrimination in Online Housing Markets" (2020), Proceedings of the International AAAI Conference on Web and Social Media
  • "Food-Focused Media Literacy for Remotely Acculturating Adolescents and Mothers: A Randomized Controlled Trial of the "JUS Media? Programme"" (2021), Journal of Adolescent Health
  • "Measuring User-Moderator Alignment on r/ChangeMyView" (2023), Proceedings of the ACM on Human-Computer Interaction
  • "I can show what I really like." (2021), Proceedings of the ACM on Human-Computer Interaction

Collaborations have been notable, with the most frequent co-authors being:

  • Karrie Karahalios (7 joint works)
  • Adit Krishnan (5 joint works)
  • Eshwar Chandrasekharan (4 joint works)
  • Junting Wang (4 joint works)
  • Vinay Koshy (3 joint works)

Hari Sundaram was recognized as an ACM Distinguished Member in 2019.

Best Publications

  • Proceedings of the 19th ACM international conference on Multimedia

    K. Selçuk Candan;Sethuraman Panchanathan;Balakrishnan Prabhakaran;Hari Sundaram

  • A fully automated content-based video search engine supporting spatiotemporal queries

    Shih-Fu Chang;W. Chen;H.J. Meng;H. Sundaram

  • VideoQ: an automated content based video search system using visual cues

    Shih-Fu Chang;William Chen;Horace J. Meng;Hari Sundaram

  • Facetnet: a framework for analyzing communities and their evolutions in dynamic networks

    Yu-Ru Lin;Yun Chi;Shenghuo Zhu;Hari Sundaram

  • Analyzing communities and their evolutions in dynamic social networks

    Yu-Ru Lin;Yun Chi;Shenghuo Zhu;Hari Sundaram

  • How Does the Data Sampling Strategy Impact the Discovery of Information Diffusion in Social Media

    Munmun De Choudhury;Yu Ru Lin;Hari Sundaram;K. Selçuk Candan

  • Semantic visual templates: linking visual features to semantics

    S.-F. Cheng;W. Chen;H. Sundaram

  • MetaFac: community discovery via relational hypergraph factorization

    Yu-Ru Lin;Jimeng Sun;Paul Castro;Ravi Konuru

  • Algorithms and system for object-oriented content-based video search

    Shih-Fu Chang;William Chen;Horace J. Meng;Hari Sundaram

  • Can blog communication dynamics be correlated with stock market activity

    Munmun De Choudhury;Hari Sundaram;Ajita John;Dorée Duncan Seligmann

  • Determining computable scenes in films and their structures using audio-visual memory models

    Hari Sundaram;Shih-Fu Chang

  • GroupIM: A Mutual Information Maximization Framework for Neural Group Recommendation

    Aravind Sankar;Yanhong Wu;Yuhang Wu;Wei Zhang

  • Video scene segmentation using video and audio features

    H. Sundaram;Shih-Fu Chang

  • A utility framework for the automatic generation of audio-visual skims

    Hari Sundaram;Lexing Xie;Shih-Fu Chang

  • Event Mining in Multimedia Streams

    Lexing Xie;H. Sundaram;M. Campbell

  • Discovery of Blog Communities based on Mutual Awareness

    Yu-Ru Lin;Hari Sundaram;Yun Chi;Jun Tatemura

  • Social Synchrony: Predicting Mimicry of User Actions in Online Social Media

    Munmun De Choudhury;Hari Sundaram;Ajita John;Dorée Duncan Seligmann

  • Blog Community Discovery and Evolution Based on Mutual Awareness Expansion

    Yu-Ru Lin;Hari Sundaram;Yun Chi;Junichi Tatemura

  • An Adaptive Mixed Reality Training System for Stroke Rehabilitation

    Margaret Duff;Yinpeng Chen;Suneth Attygalle;Janice Herman

  • Splog detection using self-similarity analysis on blog temporal dynamics

    Yu-Ru Lin;Hari Sundaram;Yun Chi;Junichi Tatemura

  • Computable scenes and structures in films

    H. Sundaram;Shih-Fu Chang

Frequent Co-Authors

Yu-Ru Lin
Yu-Ru Lin University of Pittsburgh
Shih-Fu Chang
Shih-Fu Chang Columbia University
Munmun De Choudhury
Munmun De Choudhury Georgia Institute of Technology
Lexing Xie
Lexing Xie Australian National University
Doree Duncan Seligmann
Doree Duncan Seligmann NY Hatchlings LLC
Belle L. Tseng
Belle L. Tseng Apple (United States)
K. Selçuk Candan
K. Selçuk Candan Arizona State University
Yun Chi
Yun Chi Robinhood
Jiping He
Jiping He Beijing Institute of Technology
Karrie Karahalios
Karrie Karahalios University of Illinois at Urbana-Champaign

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online education opens up diverse opportunities for students considering Computer Science in the USA. If you’re seeking quick entry into the workforce, there are short certificate programs that pay well, offering specialized skills and industry-recognized credentials in months instead of years.

For those interested in building a strong educational foundation, pursuing an online associate's degree in Computer Science or IT is an affordable start. This pathway often allows graduates to transition to bachelor’s programs or gain technical roles quickly.

Professionals looking to advance their careers may opt for master’s degrees. It’s wise to review the what masters program should i do guide to choose a program aligned with high-demand technology roles. Additionally, those prioritizing faster returns can benefit from the quickest online masters degree options, designed to deliver credentials at an accelerated pace.

Online learning provides flexible, valuable pathways to advance your knowledge and open doors to lucrative careers in tech.

Best Scientists Citing Hari Sundaram

Trending Scientists

Recently Published Articles