World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
10671
World Ranking
5848
National Ranking
2655

Chitta Baral 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 Chitta Baral 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: 313 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Chitta Baral 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 Chitta Baral 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Overview

Chitta Baral is affiliated with Arizona State University in the United States and specializes in computer science, with a focus on artificial intelligence. Their research output includes 378 publications in computer science, covering key subfields such as artificial intelligence, computer vision and pattern recognition, information systems, health informatics, and molecular biology.

Their work addresses multiple topics within artificial intelligence, with notable focus areas including topic modeling, natural language processing techniques, and multimodal machine learning applications. Other subjects covered in their research are domain adaptation and few-shot learning, advanced image and video retrieval techniques, semantic web and ontologies, and explainable artificial intelligence (XAI).

Chitta Baral's recent papers include:

  • Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models, 2022, arXiv (Cornell University)
  • Cross-Task Generalization via Natural Language Crowdsourcing Instructions, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks, 2022, Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Reframing Instructional Prompts to GPTk's Language, 2022, Findings of the Association for Computational Linguistics: ACL 2022
  • Weakly-Supervised Visual-Retriever-Reader for Knowledge-based Question Answering, 2021, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Frequent co-authors collaborating with Chitta Baral include:

  • Swaroop Mishra
  • Tejas Gokhale
  • Neeraj Varshney
  • Yezhou Yang
  • Pratyay Banerjee

Their publications appear mainly in the following venues:

  • arXiv (Cornell University)
  • Findings of the Association for Computational Linguistics: ACL 2022
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
  • Journal of Clinical Oncology

Regarding book publications, Chitta Baral has contributed to works published by Springer Nature and Morgan & Claypool Publishers. These include Neuro Symbolic Reasoning and Learning (2023) and Advances in Multimodal Information Retrieval and Generation (2024).

Best Publications

  • Knowledge representation, reasoning and declarative problem solving

    Chitta Baral

  • Logic programming and knowledge representation

    Chitta Baral;Michael Gelfond

  • Probabilistic reasoning with answer sets

    Chitta Baral;Michael Gelfond;Nelson Rushton

  • COMBINING KNOWLEDGE BASES CONSISTING OF FIRST‐ORDER THEORIES

    Chitta Baral;Sarit Kraus;Jack Minker;V. S. Subrahmanian

  • Combining multiple knowledge bases

    C. Baral;S. Kraus;J. Minker

  • Discovering drug–drug interactions

    Luis Tari;Saadat Anwar;Shanshan Liang;James Cai

  • Cross-Task Generalization via Natural Language Crowdsourcing Instructions

    Swaroop Mishra;Daniel Khashabi;Chitta Baral;Hannaneh Hajishirzi

  • Reasoning agents in dynamic domains

    Chitta Baral;Michael Gelfond

  • What to do and how to do it: Translating natural language directives into temporal and dynamic logic representation for goal management and action execution

    Juraj Dzifcak;Matthias Scheutz;Chitta Baral;Paul Schermerhorn

  • Representing actions: Laws, observations and hypotheses

    Chitta Baral;Michael Gelfond;Alessandro Provetti

  • Computational complexity of planning and approximate planning in the presence of incompleteness

    Chitta Baral;Vladik Kreinovich;Raúl Trejo

  • Formalizing sensing actions—a transition function based approach

    Tran Cao Son;Chitta Baral

  • Fuzzy c-means clustering with prior biological knowledge

    Luis Tari;Chitta Baral;Seungchan Kim

  • Dualities between alternative semantics for logic programming and nonmonotonic reasoning

    Chitta R. Baral;V. S. Subrahmanian

  • MUTANT: A Training Paradigm for Out-of-Distribution Generalization in Visual Question Answering

    Tejas Gokhale;Pratyay Banerjee;Chitta Baral;Yezhou Yang

  • Learning to use formulas to solve simple arithmetic problems

    Arindam Mitra;Chitta Baral

  • Stable and extension class theory for logic programs and default logics

    Chitta R. Baral;V. S. Subrahmanian

  • Representing concurrent actions in extended logic programming

    Chitta Baral;Michael Gelfond

  • A knowledge based approach for representing and reasoning about signaling networks

    C. Baral;K. Chancellor;N. Tran;N.L. Tran

  • Reframing Instructional Prompts to GPTk's Language.

    Swaroop Mishra;Daniel Khashabi;Chitta Baral;Yejin Choi

  • Computational Complexity of Planning and Approximate Planning in Presence of Incompleteness

    Chitta Baral;Vladik Kreinovich;Raul Trejo

Frequent Co-Authors

Yezhou Yang
Yezhou Yang Arizona State University
Vladik Kreinovich
Vladik Kreinovich The University of Texas at El Paso
Michael Gelfond
Michael Gelfond Texas Tech University
Enrico Pontelli
Enrico Pontelli New Mexico State University
Jorge Lobo
Jorge Lobo Pompeu Fabra University
Jack Minker
Jack Minker University of Maryland, College Park
Sheila A. McIlraith
Sheila A. McIlraith University of Toronto
V. S. Subrahmanian
V. S. Subrahmanian Dartmouth College
Yiannis Aloimonos
Yiannis Aloimonos University of Maryland, College Park

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