World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
14896
World Ranking
9034
National Ranking
3839

James H. Martin 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 James H. Martin 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 118 publications — 14th percentile

14% of scientists in this discipline score the same or lower.

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

James H. Martin 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 James H. Martin sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

James H. Martin is affiliated with the University of Colorado Boulder in the United States. Their research primarily focuses on medicine, with a particular emphasis on emergency medicine, pediatrics, perinatology and child health, general health professions, public health, environmental and occupational health, and clinical psychology.

The scientist's work addresses a range of topics including:

  • Maternal and fetal healthcare
  • Emergency and acute care studies
  • Trauma and emergency care studies
  • Child nutrition and water access
  • Maternal and perinatal health interventions
  • Healthcare professionals' stress and burnout
  • Global maternal and child health

James H. Martin has contributed to various publication venues, frequently publishing in:

  • BMJ Open
  • Frontiers in Public Health
  • SSRN Electronic Journal
  • New England Journal of Medicine
  • The Lancet Global Health

Recent papers by Martin include:

  • Randomized Trial of Early Detection and Treatment of Postpartum Hemorrhage, 2023, New England Journal of Medicine
  • Protective factors and sources of support in the workplace as experienced by UK foundation and junior doctors: a qualitative study, 2021, BMJ Open
  • Sources of work-related psychological distress experienced by UK-wide foundation and junior doctors: a qualitative study, 2021, BMJ Open
  • Effectiveness and cost-effectiveness of The Daily Mile on childhood weight outcomes and wellbeing: a cluster randomised controlled trial, 2020, International Journal of Obesity
  • Reducing Medical Admissions and Presentations Into Hospital through Optimising Medicines (REMAIN HOME): a stepped wedge, cluster randomised controlled trial, 2021, The Medical Journal of Australia

Frequent co-authors include:

  • Karla Hemming (19 co-authored works)
  • Ioannis Gallos (13 co-authored works)
  • Adam Devall (11 co-authored works)
  • Hadiza Galadanci (10 co-authored works)
  • Fadhlun M. Alwy Al-beity (10 co-authored works)

Best Publications

  • Speech and Language Processing

    Dan Jurafsky;James H. Martin

  • Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics, and Speech Recognition

    Daniel Jurafsky;James H. Martin

  • Shallow Semantic Parsing using Support Vector Machines.

    Sameer S. Pradhan;Wayne H. Ward;Kadri Hacioglu;James H. Martin

  • Natural Language Processing to the Rescue? Extracting "Situational Awareness" Tweets During Mass Emergency.

    Sudha Verma;Sarah Vieweg;William J. Corvey;Leysia Palen

  • A vision for technology-mediated support for public participation & assistance in mass emergencies & disasters

    Leysia Palen;Kenneth M. Anderson;Gloria Mark;James Martin

  • Support Vector Learning for Semantic Argument Classification

    Sameer Pradhan;Kadri Hacioglu;Valerie Krugler;Wayne Ward

  • Speech and Language Processing, 2nd Edition

    Daniel Jurafsky;James H. Martin

  • A Computational Model of Metaphor Interpretation

    James H. Martin

  • The Berkeley UNIX Consultant Project

    Robert Wilensky;David N. Chin;Marc Luria;James Martin

  • NLP to the Rescue?: Extracting "Situational Awareness" Tweets During Mass Emergency

    Sudha Verma;Sarah Vieweg;William Corvey;Leysia Palen

  • Semantic Role Labeling Using Different Syntactic Views

    Sameer Pradhan;Wayne Ward;Kadri Hacioglu;James Martin

  • Towards Robust Semantic Role Labeling

    Sameer Pradhan;Sameer Pradhan;Wayne Ward;Wayne Ward;James Martin;James Martin

  • Evidence-based static branch prediction using machine learning

    Brad Calder;Dirk Grunwald;Michael Jones;Donald Lindsay

  • Towards comprehensive syntactic and semantic annotations of the clinical narrative.

    Daniel Albright;Arrick Lanfranchi;Anwen Fredriksen;William F. Styler

  • Semantic Role Labeling by Tagging Syntactic Chunks

    Kadri Hacioglu;Sameer Pradhan;Wayne H. Ward;James H. Martin

  • Semantic role parsing: adding semantic structure to unstructured text

    Sameer Pradhan;K. Hacioglu;W. Ward;J.H. Martin

  • Learning Semantic Links from a Corpus of Parallel Temporal and Causal Relations

    Steven Bethard;James H. Martin

  • SGRank: Combining Statistical and Graphical Methods to Improve the State of the Art in Unsupervised Keyphrase Extraction

    Soheil Danesh;Tamara Sumner;James H. Martin

  • Identification of Event Mentions and their Semantic Class

    Steven Bethard;James H. Martin

  • Recognizing entailment in intelligent tutoring systems

    Rodney d. Nielsen;Wayne Ward;James h. Martin

  • Expressing rhetorical relations in instructional text: a case study of the purpose relation

    Keith Vander Linden;James H. Martin

Frequent Co-Authors

Wayne H. Ward
Wayne H. Ward University of Colorado Boulder
Steven Bethard
Steven Bethard University of Arizona
Martha Palmer
Martha Palmer University of Colorado Boulder
Dan Jurafsky
Dan Jurafsky Stanford University
Sameer Pradhan
Sameer Pradhan Vassar College
Qutayba Hamid
Qutayba Hamid University of Sharjah
Guergana Savova
Guergana Savova Harvard University
Dekai Wu
Dekai Wu Hong Kong University of Science and Technology
Leysia Palen
Leysia Palen University of Colorado Boulder
Dirk Grunwald
Dirk Grunwald University of Colorado Boulder

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