World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
10850
World Ranking
8213
National Ranking
3523

David A. Ferrucci 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 David A. Ferrucci 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: 78 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

David A. Ferrucci 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 David A. Ferrucci 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

David A. Ferrucci is affiliated with IBM in the United States and conducts research primarily in the field of Computer Science. Their work focuses on Artificial Intelligence and intersects with several key topics including Topic Modeling, Explainable Artificial Intelligence (XAI), Bayesian Modeling and Causal Inference, Logic, Reasoning, and Knowledge, Logic, Programming, and Type Systems, as well as Semantic Web and Ontologies. Natural Language Processing Techniques also form a significant part of their research interests.

They have contributed to a number of publications, with frequent appearances in venues such as arXiv (Cornell University), Proceedings of the AAAI Conference on Artificial Intelligence, and Algorithms. Notable recent papers include:

  • "Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical Explanations," 2022, Proceedings of the AAAI Conference on Artificial Intelligence
  • "LLM-ARC: Enhancing LLMs with an Automated Reasoning Critic," 2024, arXiv (Cornell University)
  • "SKATE: A Natural Language Interface for Encoding Structured Knowledge," 2020, arXiv (Cornell University)
  • "Braid: Weaving Symbolic and Neural Knowledge into Coherent Logical Explanations," 2020, arXiv (Cornell University)
  • "Pushing the Limits of Clingo's Incremental Grounding and Solving Capabilities in Practical Applications," 2023, Algorithms

Frequent collaborators on their research projects include:

  • Aditya Kalyanpur
  • Marcello Balduccini
  • Kailash Saravanakumar
  • Victor Barres
  • Jennifer Chu-Carroll

Their body of work shows a concentration on integrating symbolic and neural methods, reasoning systems, and the development of explainable AI approaches. Publications also demonstrate an interest in structured knowledge encoding and advances in automated reasoning techniques.

Best Publications

  • Building Watson: An Overview of the DeepQA Project

    David A. Ferrucci;Eric W. Brown;Jennifer Chu-Carroll;James Fan

  • UIMA: an architectural approach to unstructured information processing in the corporate research environment

    David Ferrucci;Adam Lally

  • Introduction to This is Watson

    D. A. Ferrucci

  • System and method for providing answers to questions

    Eric W. Brown;David Ferrucci;Adam Lally;Wlodek W. Zadrozny

  • Questions and answers generation

    Pablo A. Duboue;David A. Ferrucci;David C. Gondek;James W. Murdock

  • Providing answers to questions using multiple models to score candidate answers

    Eric W. Brown;David A. Ferrucci;James W. Murdock

  • Watson: beyond jeopardy!

    David Ferrucci;Anthony Levas;Sugato Bagchi;David Gondek

  • Evidence evaluation system and method based on question answering

    David A. Ferrucci;Wlodek W. Zadrozny

  • Evidence diffusion among candidate answers during question answering

    David A. Ferrucci;David C. Gondek;Aditya A. Kalyanpur;Adam P. Lally

  • Error correction using fact repositories

    David A. Ferrucci;David C. Gondek;Wlodek W. Zadrozny

  • Artificial Intelligence and Literary Creativity: Inside the Mind of Brutus, A Storytelling Machine

    Selmer Bringsjord;David Ferrucci

  • System, method and computer program product for performing unstructured information management and automatic text analysis, and providing multiple document views derived from different document tokenizations

    Andrei Z Broder;David Carmel;Arthur C Ciccolo;David Ferrucci

  • System and method for providing question and answers with deferred type evaluation

    James Fan;David Ferrucci;David C. Gondek;Wlodek W. Zadrozny

  • Automatic knowledge extraction from documents

    J. Fan;A. Kalyanpur;D. C. Gondek;D. A. Ferrucci

  • Building an example application with the Unstructured Information Management Architecture

    Unknown

  • A Multi-Strategy and Multi-Source Approach to Question Answering

    Jennifer Chu-Carroll;John M. Prager;Christopher A. Welty;Krzysztof Czuba

  • Providing answers to questions using hypothesis pruning

    Jennifer Chu-Carroll;David A. Ferrucci;David C. Gondek;Adam P. Lally

  • Providing answers to questions using logical synthesis of candidate answers

    Eric W. Brown;Jennifer Chu-Carroll;David A. Ferrucci;Adam P. Lally

  • Utilizing failures in question and answer system responses to enhance the accuracy of question and answer systems

    Michael A. Barborak;Jennifer Chu-Carroll;David A. Ferrucci;James W. Murdock

  • System, method and computer program product for performing unstructured information management and automatic text analysis, and including a document common analysis system (CAS)

    David Ferrucci;Thilo Goetz;Thomas Hampp;Alan Marwick

  • Method and system for automatic computation creativity and specifically for story generation

    Selmer Conrad Bringsjord;David Angelo Ferrucci

Frequent Co-Authors

Jennifer Chu-Carroll
Jennifer Chu-Carroll Elemental Cognition
Aditya Kalyanpur
Aditya Kalyanpur Elemental Cognition
Chris Welty
Chris Welty Google (United States)
Deborah L. McGuinness
Deborah L. McGuinness Rensselaer Polytechnic Institute
Eric Nyberg
Eric Nyberg Carnegie Mellon University
Andrei Z. Broder
Andrei Z. Broder Google (United States)
Owen Rambow
Owen Rambow Stony Brook University
Richard Fikes
Richard Fikes Stanford University
Yoelle Maarek
Yoelle Maarek Amazon (United States)
David Carmel
David Carmel Amazon (Israel)

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

As technology continues to transform industries, many students interested in Computer Science also explore online degree options and flexible career pathways. There is a growing demand for programs that enable professionals to upgrade their skills or pivot to new fields—all with the convenience of online study.

For those seeking leadership roles in tech-driven organizations, executive mba online programs can help develop strategic business and management skills. In contrast, tech enthusiasts with a passion for information management often consider an mlis degree, which blends technology with library science.

If affordability is a priority, there are many affordable master's degrees online in areas like computer science, data analytics, and more. For those aiming for top executive or academic roles, a doctorate in organizational leadership offers flexible options for advanced study.

Exploring these online degrees can open doors to a wide range of tech-related careers and leadership positions, all from the comfort of your own home.

Best Scientists Citing David A. Ferrucci

Trending Scientists

Recently Published Articles