World's Best Scientists 2026 revealed!
Jennifer Chu-Carroll

Jennifer Chu-Carroll

D-Index & Metrics

Computer Science

D-Index
39
Citations
5970
World Ranking
9811
National Ranking
4134

Jennifer Chu-Carroll 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 Jennifer Chu-Carroll 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: 89 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Jennifer Chu-Carroll 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 Jennifer Chu-Carroll 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Jennifer Chu-Carroll is affiliated with Elemental Cognition in the United States and focuses on research in computer science, particularly within the subfield of artificial intelligence. Their work emphasizes natural language processing techniques, topic modeling, text readability and simplification, and semantic web and ontologies.

The scientist has contributed to several publications, all of which have appeared in arXiv (Cornell University). Notable papers include:

  • Open-Domain Frame Semantic Parsing Using Transformers (2020, arXiv)
  • LLM-ARC: Enhancing LLMs with an Automated Reasoning Critic (2024, arXiv)
  • Beyond LLMs: Advancing the Landscape of Complex Reasoning (2024, arXiv)

Jennifer Chu-Carroll frequently collaborates with several researchers, including Aditya Kalyanpur, David Ferrucci, Or Biran, Tom Breloff, and Ariel Diertani. Among these, Aditya Kalyanpur and David Ferrucci appear as coauthors on multiple occasions.

The main fields of study associated with this researcher are computer science and artificial intelligence, with a total of five publications in these areas. The primary topics they explore are natural language processing techniques, topic modeling, text readability and simplification, and semantic web and ontologies.

Best Publications

  • Building Watson: An Overview of the DeepQA Project

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

  • Vector-based natural language call routing

    Jennifer Chu-Carroll;Bob Carpenter

  • Question analysis: how watson reads a clue

    A. Lally;J. M. Prager;M. C. McCord;B. K. Boguraev

  • Methods and apparatus for automatic call routing including disambiguating routing decisions

    Robert Lee Carpenter;Jennifer Chu-Carroll

  • MIMIC: An Adaptive Mixed Initiative Spoken Dialogue System for Information Queries

    Jennifer Chu-Carroll

  • Question Answering Using Constraint Satisfaction: QA-By-Dossier-With-Contraints

    John Prager;Jennifer Chu-Carroll;Krzysztof Czuba

  • 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

  • Method and process for semantic or faceted search over unstructured and annotated data

    Branimir Konstantinov Boguraev;Eric William Brown;Youssef Drissi;David Angelo Ferrucci

  • Finding needles in the haystack: search and candidate generation

    J. Chu-Carroll;J. Fan;B. K. Boguraev;D. Carmel

  • WatsonPaths: Scenario-based Question Answering and Inference over Unstructured Information

    Adam Lally;Sugato Bagchi;Michael A. Barborak;David W. Buchanan

  • In question answering, two heads are better than one

    Jennifer Chu-Carroll;Krzysztof Czuba;John Prager;Abraham Ittycheriah

  • IBM's PIQUANT in TREC2003

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

  • GLUCOSE: GeneraLized and COntextualized Story Explanations

    Nasrin Mostafazadeh;Aditya Kalyanpur;Lori Moon;David W. Buchanan

  • Using ontological information in open domain type coercion

    David A. Ferrucci;Aditya A. Kalyanpur;James W. Murdock;Christopher A. Welty

  • Natural language call routing: a robust, self-organizing approach.

    Bob Carpenter;Jennifer Chu-Carroll

  • Semantic search via XML fragments: a high-precision approach to IR

    Jennifer Chu-Carroll;John Prager;Krzysztof Czuba;David Ferrucci

  • Collaborative response generation in planning dialogues

    Jennifer Chu-Carroll;Sandra Carberry

Frequent Co-Authors

David A. Ferrucci
David A. Ferrucci IBM (United States)
Aditya Kalyanpur
Aditya Kalyanpur Elemental Cognition
Chris Welty
Chris Welty Google (United States)
Owen Rambow
Owen Rambow Stony Brook University
Eric Nyberg
Eric Nyberg Carnegie Mellon University
Chin-Hui Lee
Chin-Hui Lee Georgia Institute of Technology
Janyce Wiebe
Janyce Wiebe University of Pittsburgh
Jeff A. Bilmes
Jeff A. Bilmes University of Washington
Eduard Hovy
Eduard Hovy Carnegie Mellon University
Alessandro Moschitti
Alessandro Moschitti Amazon (United States)

External Links

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 Computer Science can open doors to many related fields and qualifications. For students interested in broadening their expertise, several online programs offer flexibility and affordability. For example, pursuing a bachelor of science in physics online can complement computing skills with a strong foundation in analytical thinking.

Data science is another high-demand area. Many learners look for the cheapest data science degree to gain specialized knowledge without taking on heavy debt. Similarly, a quality online bachelor’s in electrical engineering equips students with practical skills in robotics, circuits, and digital technologies—all relevant to the tech industry.

Shorter pathways are available for those wanting to quickly boost their employability or enter the workforce sooner. Pursuing short certificate programs that pay well can be an efficient way to gain marketable skills. Whether you're seeking a full degree or a concise, job-focused program, these options provide flexible and affordable ways to build a successful tech-related career in the USA.

Best Scientists Citing Jennifer Chu-Carroll

Trending Scientists

Recently Published Articles