World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5146
World Ranking
12146
National Ranking
4940

Jane Huffman Hayes 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 Jane Huffman Hayes 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: 129 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Jane Huffman Hayes 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 Jane Huffman Hayes 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Jane Huffman Hayes is affiliated with the University of Kentucky in the United States. Their primary field of study is Computer Science, with significant contributions spanning several subfields including Information Systems, Software, Computer Networks and Communications, and Artificial Intelligence.

The research topics covered by Jane Huffman Hayes focus mainly on software engineering and related areas. Key topics include:

  • Software Engineering Research
  • Software Testing and Debugging Techniques
  • Software System Performance and Reliability
  • Software Engineering Techniques and Practices
  • Advanced Software Engineering Methodologies

Their recent academic publications reflect work at the intersection of software system reliability and requirements engineering. Notable papers include:

  • "Effective fault localization and context-aware debugging for concurrent programs," published in 2021 in Software Testing Verification and Reliability
  • "Philanthropic conference-based requirements engineering in time of pandemic and beyond," published in 2022 in Requirements Engineering

Jane Huffman Hayes collaborates with various researchers across disciplines. Frequent co-authors are:

  • Justin Chu
  • Tingting Yu
  • Xue Han
  • Yu Zhao
  • Meira Levy

The publication venues frequented by Hayes include:

  • Software Testing Verification and Reliability
  • Requirements Engineering

Best Publications

  • Advancing candidate link generation for requirements tracing: the study of methods

    J.H. Hayes;A. Dekhtyar;S.K. Sundaram

  • Improving requirements tracing via information retrieval

    J.H. Hayes;A. Dekhtyar;J. Osborne

  • Software traceability: trends and future directions

    Jane Cleland-Huang;Orlena C. Z. Gotel;Jane Huffman Hayes;Patrick Mäder

  • Software maintenance maturity model (SMmm): the software maintenance process model

    Alain April;Jane Huffman Hayes;Alain Abran;Reiner R. Dumke

  • A semantic model of program faults

    A. Jefferson Offutt;J. Huffman Hayes

  • Helping analysts trace requirements: an objective look

    J.H. Hayes;A. Dekhtyar;S.K. Sundaram;S. Howard

  • REquirements TRacing On target (RETRO): improving software maintenance through traceability recovery

    Jane Huffman Hayes;Alex Dekhtyar;Senthil Karthikeyan Sundaram;E. Ashlee Holbrook

  • Traceability Fundamentals

    Unknown

  • Automated Requirements Traceability: The Study of Human Analysts

    David Cuddeback;Alex Dekhtyar;Jane Hayes

  • Evaluating individual contribution toward group software engineering projects

    Jane Huffman Hayes;Timothy C. Lethbridge;Daniel Port

  • The quest for Ubiquity: A roadmap for software and systems traceability research

    O. Gotel;J. Cleland-Huang;J. Huffman Hayes;A. Zisman

  • Assessing traceability of software engineering artifacts

    Senthil Karthikeyan Sundaram;Jane Huffman Hayes;Alex Dekhtyar;E. Ashlee Holbrook

  • A metrics-based software maintenance effort model

    J.H. Hayes;S.C. Patel;L. Zhao

  • The Grand Challenge of Traceability (v1.0)

    Orlena Gotel;Jane Cleland-Huang;Jane Huffman Hayes;Andrea Zisman

  • Tracing requirements to defect reports: an application of information retrieval techniques

    Suresh Yadla;Jane Huffman Hayes;Alex Dekhtyar

  • TraceLab: an experimental workbench for equipping researchers to innovate, synthesize, and comparatively evaluate traceability solutions

    Ed Keenan;Adam Czauderna;Greg Leach;Jane Cleland-Huang

  • Humans in the traceability loop: can't live with 'em, can't live without 'em

    Jane Huffman Hayes;Alex Dekhtyar

  • Improving after-the-fact tracing and mapping: supporting software quality predictions

    J.H. Hayes;A. Dekhtyar;S.K. Sundaram

  • Building a requirement fault taxonomy: experiences from a NASA verification and validation research project

    J.H. Hayes

  • On human analyst performance in assisted requirements tracing: Statistical analysis

    Alex Dekhtyar;Olga Dekhtyar;Jeff Holden;Jane Huffman Hayes

  • Text mining for software engineering: how analyst feedback impacts final results

    Jane Huffman Hayes;Alex Dekhtyar;Senthil Sundaram

  • Energizing Software Engineering Education through Real-World Projects as Experimental Studies

    Unknown

Frequent Co-Authors

Jane Cleland-Huang
Jane Cleland-Huang University of Notre Dame
Giuliano Antoniol
Giuliano Antoniol Polytechnique Montréal
Yann-Gaël Guéhéneuc
Yann-Gaël Guéhéneuc Concordia University
Denys Poshyvanyk
Denys Poshyvanyk William & Mary
Jonathan I. Maletic
Jonathan I. Maletic Kent State University
Miroslaw Truszczynski
Miroslaw Truszczynski University of Kentucky
Jeff Offutt
Jeff Offutt George Mason University
Alain Abran
Alain Abran École de Technologie Supérieure
Bram Adams
Bram Adams Queen's University
Andrian Marcus
Andrian Marcus The University of Texas at Dallas

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