World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
13383
World Ranking
12842
National Ranking
5176

Julia Hockenmaier 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 Julia Hockenmaier 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: 101 publications — 9th percentile

9% of scientists in this discipline score the same or lower.

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

Julia Hockenmaier 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 Julia Hockenmaier 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Julia Hockenmaier is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their body of research primarily lies within the field of Computer Science, with a particular focus on Artificial Intelligence, where they have contributed to 24 publications. Other subfields in which they have conducted research include Computer Vision and Pattern Recognition, Building and Construction, Radiological and Ultrasound Technology, and Management Science and Operations Research.

The main topics addressed in their work cover Natural Language Processing Techniques, represented in 12 publications, as well as Topic Modeling. Other prominent research areas include BIM and Construction Integration, Occupational Health and Safety Research, Speech and Dialogue Systems, Multimodal Machine Learning Applications, and AI-based Problem Solving and Planning.

Julia Hockenmaier's recent papers illustrate their engagement with multiple interrelated research topics. These include:

  • Flickr30k entities: Collecting region-to-phrase correspondences for richer image-to-sentence models (2024), published in arXiv (Cornell University)
  • Simple Robust Grammar Induction with Combinatory Categorial Grammars (2021), published in Proceedings of the AAAI Conference on Artificial Intelligence
  • Transformer language model for mapping construction schedule activities to uniformat categories (2023), published in Automation in Construction
  • Learning and critiquing pairwise activity relationships for schedule quality control via deep learning-based natural language processing (2021), published in Automation in Construction
  • HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction (2021), published in arXiv (Cornell University)

Frequent co-authors collaborating with Julia Hockenmaier include Heng Ji, Yoonhwa Jung, Mani Golparvar-Fard, Liliang Ren, and Rajarshi Haldar.

Their work has been published extensively in venues such as:

  • arXiv (Cornell University), with 14 publications
  • Automation in Construction, with 2 publications
  • Proceedings of the AAAI Conference on Artificial Intelligence, with 1 publication

Best Publications

  • From image descriptions to visual denotations: New similarity metrics for semantic inference over event descriptions

    Peter Young;Alice Lai;Micah Hodosh;Julia Hockenmaier

  • Framing image description as a ranking task: data, models and evaluation metrics

    Micah Hodosh;Peter Young;Julia Hockenmaier

  • Every picture tells a story: generating sentences from images

    Ali Farhadi;Mohsen Hejrati;Mohammad Amin Sadeghi;Peter Young

  • Framing image description as a ranking task: data, models and evaluation metrics

    Micah Hodosh;Peter Young;Julia Hockenmaier

  • Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

    Bryan A. Plummer;Liwei Wang;Chris M. Cervantes;Juan C. Caicedo

  • Collecting Image Annotations Using Amazon's Mechanical Turk

    Cyrus Rashtchian;Peter Young;Micah Hodosh;Julia Hockenmaier

  • Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing

    Yonatan Bisk;Siva Reddy;John Blitzer;Julia Hockenmaier

  • CCGbank: A Corpus of CCG Derivations and Dependency Structures Extracted from the Penn Treebank

    Julia Hockenmaier;Julia Hockenmaier;Mark Steedman;Mark Steedman

  • Example selection for bootstrapping statistical parsers

    Mark Steedman;Rebecca Hwa;Stephen Clark;Miles Osborne

  • Flickr30k Entities: Collecting Region-to-Phrase Correspondences for Richer Image-to-Sentence Models

    Bryan A. Plummer;Liwei Wang;Chris M. Cervantes;Juan C. Caicedo

  • Improving Image-Sentence Embeddings Using Large Weakly Annotated Photo Collections

    Yunchao Gong;Liwei Wang;Micah Hodosh;Julia Hockenmaier

  • Wide-coverage semantic representations from a CCG parser

    Johan Bos;Stephen Clark;Mark Steedman;James R. Curran

  • Data and models for statistical parsing with combinatory categorial grammar

    Julia Hockenmaier

  • Generative Models for Statistical Parsing with Combinatory Categorial Grammar

    Julia Hockenmaier;Mark Steedman

  • Bootstrapping statistical parsers from small datasets

    Mark Steedman;Miles Osborne;Anoop Sarkar;Stephen Clark

  • Phrase Localization and Visual Relationship Detection with Comprehensive Image-Language Cues

    Bryan A. Plummer;Arun Mallya;Christopher M. Cervantes;Julia Hockenmaier

  • Illinois-LH: A Denotational and Distributional Approach to Semantics

    Alice Lai;Julia Hockenmaier

  • Building Deep Dependency Structures using a Wide-Coverage CCG Parser

    Stephen Clark;Julia Hockenmaier;Mark Steedman

  • Identifying semantic roles using Combinatory Categorial Grammar

    Daniel Gildea;Julia Hockenmaier

  • Acquiring Compact Lexicalized Grammars from a Cleaner Treebank.

    Julia Hockenmaier;Mark Steedman

  • Parsing with Generative Models of Predicate-Argument Structure

    Julia Hockenmaier

  • Creating a CCGbank and a Wide-Coverage CCG Lexicon for German

    Julia Hockenmaier

  • Collaborative Dialogue in Minecraft

    Anjali Narayan-Chen;Prashant Jayannavar;Julia Hockenmaier

Frequent Co-Authors

Mark Steedman
Mark Steedman University of Edinburgh
Svetlana Lazebnik
Svetlana Lazebnik University of Illinois at Urbana-Champaign
Tracy Holloway King
Tracy Holloway King Adobe Systems (United States)
Stephen Clark
Stephen Clark Cambridge Quantum Computing
Aravind K. Joshi
Aravind K. Joshi University of Pennsylvania
Johan Bos
Johan Bos University of Groningen
Timothy Baldwin
Timothy Baldwin University of Melbourne
Liwei Wang
Liwei Wang Peking University
Josef van Genabith
Josef van Genabith Saarland University
James Curran
James Curran University of Sydney

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