World's Best Scientists 2026 revealed!
Lenwood S. Heath

Lenwood S. Heath

D-Index & Metrics

Computer Science

D-Index
39
Citations
7395
World Ranking
9673
National Ranking
4095

Lenwood S. Heath 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 Lenwood S. Heath 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: 146 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Lenwood S. Heath 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 Lenwood S. Heath 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

Lenwood S. Heath is affiliated with Virginia Tech in the United States. Their research primarily focuses on Biochemistry, Genetics, and Molecular Biology, with significant contributions in Molecular Biology, Plant Science, Computational Theory and Mathematics, Ecology, and Genetics.

The scientist's work spans several main research topics:

  • Genomics and Phylogenetic Studies
  • Machine Learning in Bioinformatics
  • Plant Pathogenic Bacteria Studies
  • RNA and protein synthesis mechanisms
  • Computational Drug Discovery Methods
  • Microbial Community Ecology and Physiology
  • Antibiotic Resistance in Bacteria

Some of the recent papers by Lenwood S. Heath include:

  • Next generation sequencing approaches to evaluate water and wastewater quality, 2021, Water Research
  • LINbase: a web server for genome-based identification of prokaryotes as members of crowdsourced taxa, 2020, Nucleic Acids Research
  • Meta-analysis of the Ralstonia solanacearum species complex (RSSC) based on comparative evolutionary genomics and reverse ecology, 2022, Microbial Genomics
  • ARGminer: a web platform for the crowdsourcing-based curation of antibiotic resistance genes, 2020, Bioinformatics
  • Systematic auditing is essential to debiasing machine learning in biology, 2021, Communications Biology

Frequent co-authors of Heath's work include:

  • Arnold L. Rosenberg
  • Boris A. Vinatzer
  • Reza Mazloom
  • Amy Pruden
  • Parul Sharma

Common publication venues where Heath has contributed multiple papers are:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • PLoS ONE
  • Scientific Reports
  • Microbial Genomics
  • Frontiers in Microbiology

Heath has also contributed to academic book literature, with a publication titled Understanding Computation released in 2022 through Springer International Publishing.

Best Publications

  • H++: a server for estimating pKas and adding missing hydrogens to macromolecules

    John C. Gordon;Jonathan B. Myers;Timothy Folta;Valia Shoja

  • DeepARG: a deep learning approach for predicting antibiotic resistance genes from metagenomic data.

    Gustavo Arango-Argoty;Emily Garner;Amy Pruden;Lenwood S. Heath

  • Users, user interfaces, and objects: Envision, a digital library

    Edward A. Fox;Deborah Hix;Lucy T. Nowell;Dennis J. Brueni

  • Visualizing search results: some alternatives to query-document similarity

    Lucy Terry Nowell;Deborah Hix;Lenwood S. Heath

  • Laying out graphs using queues

    Lenwood S. Heath;Arnold L. Rosenberg

  • Photosynthetic Acclimation Is Reflected in Specific Patterns of Gene Expression in Drought-Stressed Loblolly Pine

    Jonathan I. Watkinson;Allan A. Sioson;Cecilia Vasquez-Robinet;Maulik Shukla

  • The PMU Placement Problem

    Dennis J. Brueni;Lenwood S. Heath

  • Comparing queues and stacks as mechanisms for laying out graphs

    Lenwood S. Heath;Frank Thomson Leighton;Arnold L. Rosenberg

  • Practical minimal perfect hash functions for large databases

    Edward A. Fox;Lenwood S. Heath;Qi Fan Chen;Amjad M. Daoud

  • MetaCompare: a computational pipeline for prioritizing environmental resistome risk

    Min Oh;Amy Pruden;Chaoqi Chen;Lenwood S Heath

  • Stack and Queue Layouts of Directed Acyclic Graphs: Part I

    Lenwood S. Heath;Sriram V. Pemmaraju;Ann N. Trenk

  • DeNovo: virus-host sequence-based protein-protein interaction prediction.

    Fatma-Elzahraa Eid;Mahmoud ElHefnawi;Lenwood S. Heath

  • NanoARG: a web service for detecting and contextualizing antimicrobial resistance genes from nanopore-derived metagenomes

    Gustavo Arango-Argoty;Dongjuan Dai;Amy Pruden;Peter J. Vikesland

  • Order-preserving minimal perfect hash functions and information retrieval

    Edward A. Fox;Qi Fan Chen;Amjad M. Daoud;Lenwood S. Heath

  • Next generation sequencing approaches to evaluate water and wastewater quality.

    Emily Garner;Benjamin C. Davis;Erin Milligan;Matthew Forrest Blair

  • Envision: a user-centered database of computer science literature

    Lenwood S. Heath;Deborah Hix;Lucy T. Nowell;William C. Wake

  • Graph Separators, with Applications

    Arnold Rosenberg;Lenwood S. Heath

  • Stack and Queue Layouts of Directed Acyclic Graphs: Part II

    Unknown

  • Embedding Planar Graphs In Seven Pages

    L. Heath

  • Metabolic and Transcriptional Reprogramming in Developing Soybean (Glycine max) Embryos

    Eva Collakova;Delasa Aghamirzaie;Yihui Fang;Curtis Klumas

  • Stack and Queue Layouts of Posets

    Lenwood S. Heath;Sriram V. Pemmaraju

  • The pagenumber of k -trees is O( k )

    Joseph L. Ganley;Lenwood S. Heath

Frequent Co-Authors

Naren Ramakrishnan
Naren Ramakrishnan Virginia Tech
Amy Pruden
Amy Pruden Virginia Tech
Edward A. Fox
Edward A. Fox Virginia Tech
Arnold L. Rosenberg
Arnold L. Rosenberg University of Massachusetts Amherst
Hans J. Bohnert
Hans J. Bohnert University of Illinois at Urbana-Champaign
João C. Setubal
João C. Setubal Universidade de São Paulo
Layne T. Watson
Layne T. Watson Virginia Tech
Ronald R. Sederoff
Ronald R. Sederoff North Carolina State University
Kasper Lage
Kasper Lage Harvard University
Sorin Istrail
Sorin Istrail Brown University

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