World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
64
Citations
13613
World Ranking
2645
National Ranking
1311

Prasenjit Mitra 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 Prasenjit Mitra 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 389 publications — 86th percentile

86% of scientists in this discipline score the same or lower.

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

Prasenjit Mitra 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 Prasenjit Mitra sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 64 D-Index — 82nd percentile

82% of scientists in this discipline score the same or lower.

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

Overview

Prasenjit Mitra is affiliated with Pennsylvania State University in the United States. Their research focuses primarily on computer science, with a significant concentration in artificial intelligence. Their subfields of study include artificial intelligence, computer vision and pattern recognition, ecology, sociology and political science, and information systems.

The scientist's recent publications demonstrate a range of topics and techniques within these broader fields. Some notable recent papers include:

  • Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values, 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Mitigating Backdoor Attacks in Federated Learning, 2020, arXiv (Cornell University)
  • Table Header Detection and Classification, 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • Machine learning based hierarchy of causative variables for tool failure in friction stir welding, 2020, Acta Materialia
  • Federated Unlearning with Knowledge Distillation, 2022, arXiv (Cornell University)

Their frequent coauthors reflect recurring collaborative relationships across multiple research projects. These collaborators include Connor Heaton, Shreya Ghosh, Saptarshi Sengupta, Muhammad Imran, and Scott Pezanowski.

In terms of publication venues, Prasenjit Mitra often contributes to the following outlets:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Research Square (Research Square)
  • IEEE Access
  • The Social Science Review a Multidisciplinary Journal

The topics covered extensively in their research are varied but show a consistent focus on advanced computational methods and applications. Main topics of their work include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Geographic Information Systems Studies
  • Machine Learning in Healthcare
  • Semantic Web and Ontologies
  • Wildlife Ecology and Conservation
  • Wildlife-Road Interactions and Conservation

Prasenjit Mitra's body of work engages with complex interdisciplinary areas, integrating technological approaches with ecological and social sciences. This diversity is reflected in the range of publication venues and subjects. The scientist has not been specifically noted for receiving awards, and no books have been published under their name according to the available data.

Best Publications

  • Detecting rumors from microblogs with recurrent neural networks

    Jing Ma;Wei Gao;Prasenjit Mitra;Sejeong Kwon

  • A graph-oriented model for articulation of ontology interdependencies

    Prasenjit Mitra;Gio Wiederhold;Martin L. Kersten

  • SensePlace2: GeoTwitter analytics support for situational awareness

    Alan M. MacEachren;Anuj Jaiswal;Anthony C. Robinson;Scott Pezanowski

  • Context-aware citation recommendation

    Qi He;Jian Pei;Daniel Kifer;Prasenjit Mitra

  • Twitter as a lifeline: Human-annotated Twitter corpora for NLP of crisis-related messages

    Muhammad Imran;Prasenjit Mitra;Carlos Castillo

  • Semi-automatic Integration of Knowledge Sources

    P. Mitra;G. Wiederhold;J. Jannink

  • Detecting topic evolution in scientific literature: how can citations help?

    Qi He;Bi Chen;Jian Pei;Baojun Qiu

  • Query suggestions in the absence of query logs

    Sumit Bhatia;Debapriyo Majumdar;Prasenjit Mitra

  • OMEN : A probabilistic ontology mapping tool

    Prasenjit Mitra;Natasha F. Noy;Anuj Rattan Jaiswal

  • TableSeer: automatic table metadata extraction and searching in digital libraries

    Ying Liu;Kun Bai;Prasenjit Mitra;C. Lee Giles

  • Framework for the semantic Web: an RDF tutorial

    S. Decker;P. Mitra;S. Melnik

  • Classifying text messages for the haiti earthquake

    Cornelia Caragea;Nathan J. McNeese;Anuj R. Jaiswal;Greg Traylor

  • Damage Assessment from Social Media Imagery Data During Disasters

    Dat T. Nguyen;Ferda Ofli;Muhammad Imran;Prasenjit Mitra

  • Robust classification of crisis-related data on social networks using convolutional neural networks

    Dat Tien Nguyen;Kamela Ali Al Mannai;Shafiq Joty;Hassan Sajjad

  • Distributed energy balanced routing for wireless sensor networks

    Chang-Soo Ok;Seokcheon Lee;Prasenjit Mitra;Soundar Kumara

  • A neural probabilistic model for context based citation recommendation

    Wenyi Huang;Zhaohui Wu;Chen Liang;Prasenjit Mitra

  • Recommending citations: translating papers into references

    Wenyi Huang;Saurabh Kataria;Cornelia Caragea;Prasenjit Mitra

  • Automatic identification of informative sections of Web pages

    S. Debnath;P. Mitra;N. Pal;C.L. Giles

  • Transferring Robustness for Graph Neural Network Against Poisoning Attacks

    Xianfeng Tang;Yandong Li;Yiwei Sun;Huaxiu Yao

  • Comparative study of name disambiguation problem using a scalable blocking-based framework

    Byung-Won On;Dongwon Lee;Jaewoo Kang;Prasenjit Mitra

  • A Graph-Oriented Model for Articulation of Ontology

    P. Mitra;G. Wiederhold;M.L. Kersten

Frequent Co-Authors

C. Lee Giles
C. Lee Giles Pennsylvania State University
Cornelia Caragea
Cornelia Caragea University of Illinois at Chicago
John Yen
John Yen Pennsylvania State University
Alan M. MacEachren
Alan M. MacEachren Pennsylvania State University
Gio Wiederhold
Gio Wiederhold Stanford University
James Z. Wang
James Z. Wang Pennsylvania State University
Lior Rokach
Lior Rokach Ben-Gurion University of the Negev
Jaewoo Kang
Jaewoo Kang Korea University
Soundar R. T. Kumara
Soundar R. T. Kumara Pennsylvania State University
Wang-Chien Lee
Wang-Chien Lee Pennsylvania State University

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