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D-Index & Metrics

Computer Science

D-Index
35
Citations
7159
World Ranking
11515
National Ranking
4732

Aron Culotta 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 Aron Culotta 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: 84 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Aron Culotta 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 Aron Culotta 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: 35 D-Index — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Overview

Aron Culotta is affiliated with Tulane University in the United States and has contributed extensively to research in computer science and social sciences. Their work spans multiple interdisciplinary fields and includes a strong focus on artificial intelligence, transportation, and social and political sciences.

Their primary research areas are:

  • Artificial Intelligence
  • Transportation
  • Sociology and Political Science
  • Communication
  • Marketing

More specifically, Aron Culotta's research topics cover a diverse range of subjects such as:

  • Human Mobility and Location-Based Analysis
  • Text and Document Classification Technologies
  • Complex Network Analysis Techniques
  • Social Media and Politics
  • Sharing Economy and Platforms
  • Privacy, Security, and Data Protection
  • Machine Learning and Data Classification

The scientist has published frequently in venues including:

  • Proceedings of the International AAAI Conference on Web and Social Media
  • arXiv (Cornell University)
  • Transportation Research Part C Emerging Technologies
  • SSRN Electronic Journal
  • Proceedings of the AAAI Conference on Artificial Intelligence

Among recent notable publications by Aron Culotta are:

  • "Predicting traffic demand during hurricane evacuation using Real-time data from transportation systems and social media" (2021), published in Transportation Research Part C Emerging Technologies
  • "Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals" (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • "Big Data and Emergency Management: Concepts, Methodologies, and Applications" (2020), published in IEEE Transactions on Big Data
  • "Characterizing Variation in Toxic Language by Social Context" (2020), published in Proceedings of the International AAAI Conference on Web and Social Media
  • "Too Neurotic, Not Too Friendly: Structured Personality Classification on Textual Data" (2021), published in Proceedings of the International AAAI Conference on Web and Social Media

Frequent collaborators include:

  • Mustafa Bilgic
  • Karthik Shivaram
  • Matthew A. Shapiro
  • Samiul Hasan
  • Zhao Wang

Best Publications

  • Dependency Tree Kernels for Relation Extraction

    Aron Culotta;Jeffrey Sorensen

  • Towards detecting influenza epidemics by analyzing Twitter messages

    Aron Culotta

  • Reducing labeling effort for structured prediction tasks

    Aron Culotta;Andrew McCallum

  • Extracting Social Networks and Contact Information From Email and the Web

    Aron Culotta;Ron Bekkerman;Andrew McCallum

  • Tweedr: Mining twitter to inform disaster response.

    Zahra Ashktorab;Christopher Brown;Manojit Nandi;Aron Culotta

  • Mining Brand Perceptions from Twitter Social Networks

    Aron Culotta;Jennifer Cutler

  • Integrating Probabilistic Extraction Models and Data Mining to Discover Relations and Patterns in Text

    Aron Culotta;Andrew McCallum;Jonathan Betz

  • First-Order Probabilistic Models for Coreference Resolution

    Aron Culotta;Michael Wick;Andrew McCallum

  • Interactive information extraction with constrained conditional random fields

    Trausti Kristjansson;Aron Culotta;Paul Viola;Andrew McCallum

  • Predicting the demographics of twitter users from website traffic data

    Aron Culotta;Nirmal Kumar Ravi;Jennifer Cutler

  • A Demographic Analysis of Online Sentiment during Hurricane Irene

    Benjamin Mandel;Aron Culotta;John Boulahanis;Danielle Stark

  • Estimating county health statistics with twitter

    Aron Culotta

  • Confidence estimation for information extraction

    Aron Culotta;Andrew McCallum

  • Inferring the origin locations of tweets with quantitative confidence

    Reid Priedhorsky;Aron Culotta;Sara Y. Del Valle

  • Detecting influenza outbreaks by analyzing Twitter messages

    Aron Culotta

  • Lightweight methods to estimate influenza rates and alcohol sales volume from Twitter messages

    Aron Culotta

  • Author Disambiguation using Error-driven Machine Learning with a Ranking Loss Function

    Aron Culotta;Pallika Kanani;Robert Hall;Michael Wick

  • Joint deduplication of multiple record types in relational data

    Aron Culotta;Andrew McCallum

  • Corrective feedback and persistent learning for information extraction

    Aron Culotta;Trausti Kristjansson;Andrew McCallum;Paul Viola

  • Graphical User Interfaces Supporting Method And System For Electronic Discovery Using Social Network Analysis

    Mark A. Cordover;Andrew Liu;Seth Green;Jonathan Bodner

  • Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals

    Zhao Wang;Aron Culotta

Frequent Co-Authors

Andrew McCallum
Andrew McCallum University of Massachusetts Amherst
Emilio Ferrara
Emilio Ferrara University of Southern California
Paul A. Viola
Paul A. Viola Microsoft (United States)
Song Guo
Song Guo Hong Kong University of Science and Technology
Ingemar J. Cox
Ingemar J. Cox University College London
Nigel Collier
Nigel Collier University of Cambridge
Bart Selman
Bart Selman Cornell University
Naveen Eluru
Naveen Eluru University of Central Florida
Xuan Song
Xuan Song University of Tokyo
Yusheng Ji
Yusheng Ji National Institute of Informatics

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