World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
8899
World Ranking
5925
National Ranking
2675

Luay Nakhleh 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 Luay Nakhleh 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: 151 publications — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Luay Nakhleh 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 Luay Nakhleh 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2012 - Fellow of John Simon Guggenheim Memorial Foundation
  • 2010 - Fellow of Alfred P. Sloan Foundation

Overview

Luay Nakhleh is affiliated with Rice University in the United States, where their research primarily spans the fields of Biochemistry, Genetics, and Molecular Biology. Their work is significantly concentrated within the subfields of Molecular Biology, Genetics, Cancer Research, Plant Science, and Paleontology.

The scientist's research topics include:

  • Genomics and Phylogenetic Studies
  • Genetic diversity and population structure
  • Cancer Genomics and Diagnostics
  • Single-cell and spatial transcriptomics
  • Chromosomal and Genetic Variations
  • Evolution and Genetic Dynamics
  • Evolution and Paleontology Studies

Among their recent scholarly contributions, notable publications include:

  • "Current progress and open challenges for applying deep learning across the biosciences," 2022, published in Nature Communications
  • "Complexity of avian evolution revealed by family-level genomes," 2024, published in Nature
  • "Methods for copy number aberration detection from single-cell DNA-sequencing data," 2020, published in Genome Biology
  • "Multispecies Coalescent: Theory and Applications in Phylogenetics," 2021, published in Annual Review of Ecology Evolution and Systematics
  • "Species Tree Inference Methods Intended to Deal with Incomplete Lineage Sorting Are Robust to the Presence of Paralogs," 2021, published in Systematic Biology

The scientist collaborates frequently with other researchers, with regular co-authorship involving:

  • Huw A. Ogilvie
  • Zhi Yan
  • Mohammadamin Edrisi
  • Zhen Cao
  • Nicolae Sapoval

The venues in which their research is commonly published reflect a focus on high-impact journals and preprint platforms. These venues include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Bioinformatics
  • Nature Communications
  • Genome Biology
  • Systematic Biology

Luay Nakhleh has received several recognitions in their career, including being named a Fellow of the John Simon Guggenheim Memorial Foundation in 2012 and a Fellow of the Alfred P. Sloan Foundation in 2010.

Best Publications

  • PhyloNet: a software package for analyzing and reconstructing reticulate evolutionary relationships

    Cuong Than;Derek A. Ruths;Luay Nakhleh

  • Current progress and open challenges for applying deep learning across the biosciences

    Unknown

  • Inferring Phylogenetic Networks Using PhyloNet

    Dingqiao Wen;Yun Yu;Jiafan Zhu;Luay Nakhleh

  • Perfect Phylogenetic Networks: A New Methodology for Reconstructing the Evolutionary History of Natural Languages

    Luay Nakhleh;Donald A. Ringe;Tandy Warnow

  • Maximum likelihood inference of reticulate evolutionary histories

    Yun Yu;Jianrong Dong;Kevin J. Liu;Luay Nakhleh

  • The probability of a gene tree topology within a phylogenetic network with applications to hybridization detection.

    Yun Yu;James H. Degnan;Luay Nakhleh

  • A maximum pseudo-likelihood approach for phylogenetic networks

    Yun Yu;Luay Nakhleh

  • Reconstructing reticulate evolution in species-theory and practice.

    Luay Nakhleh;Tandy J. Warnow;C. Randal Linder;Katherine St. John

  • Reconstructing reticulate evolution in species: theory and practice

    Luay Nakhleh;Tandy Warnow;C. Randal Linder

  • Computational approaches to species phylogeny inference and gene tree reconciliation

    Luay Nakhleh

  • Phylogenetic Networks: Modeling, Reconstructibility, and Accuracy

    B.M.E. Moret;L. Nakhleh;T. Warnow;C.R. Linder

  • Coalescent Histories on Phylogenetic Networks and Detection of Hybridization Despite Incomplete Lineage Sorting

    Yun Yu;Cuong Than;James H. Degnan;Luay Nakhleh

  • Species tree inference by minimizing deep coalescences.

    Cuong Than;Luay Nakhleh

  • Networks: expanding evolutionary thinking

    Eric Bapteste;Leo van Iersel;Axel Janke;Scot Kelchner

  • Identification of three distinct phylogenetic groups of CAX cation/proton antiporters.

    T. Shigaki;I. Rees;L. Nakhleh;K.D. Hirschi

  • Irrational exuberance for resolved species trees.

    Matthew W. Hahn;Luay Nakhleh

  • SiFit: inferring tumor trees from single-cell sequencing data under finite-sites models

    Hamim Zafar;Hamim Zafar;Anthony Tzen;Nicholas Navin;Ken Chen

  • Monovar: single-nucleotide variant detection in single cells

    Hamim Zafar;Yong Wang;Luay Nakhleh;Nicholas Navin

  • Parsimonious inference of hybridization in the presence of incomplete lineage sorting

    Yun Yu;R. Matthew Barnett;Luay Nakhleh

  • Evolutionary Phylogenetic Networks: Models and Issues

    Luay Nakhleh

  • Maximum likelihood of phylogenetic networks

    Guohua Jin;Luay Nakhleh;Sagi Snir;Tamir Tuller

  • Methods for copy number aberration detection from single-cell DNA-sequencing data

    Xian F. Mallory;Xian F. Mallory;Mohammadamin Edrisi;Nicholas Navin;Luay Nakhleh

Frequent Co-Authors

Tandy Warnow
Tandy Warnow University of Illinois at Urbana-Champaign
Ken Chen
Ken Chen The University of Texas MD Anderson Cancer Center
Nicholas Navin
Nicholas Navin The University of Texas MD Anderson Cancer Center
Hideki Innan
Hideki Innan The Graduate University for Advanced Studies, SOKENDAI
Tamir Tuller
Tamir Tuller Tel Aviv University
Wanding Zhou
Wanding Zhou University of Pennsylvania
Bernard M. E. Moret
Bernard M. E. Moret École Polytechnique Fédérale de Lausanne
Li-San Wang
Li-San Wang University of Pennsylvania
John Mellor-Crummey
John Mellor-Crummey Rice University
Mary C. Farach-Carson
Mary C. Farach-Carson The University of Texas Health Science Center at Houston

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens the door to diverse fields of study and career options. Many students explore interdisciplinary pathways, such as environmental science or engineering, to broaden their job prospects. If you’re interested in fields outside tech, you might wonder, what can I do with an environmental science degree? Careers in sustainability, research, and consulting are all possibilities.

For those seeking a faster educational route, a fast track computer science degree online allows you to complete your studies efficiently and start your career sooner. Engineering is another related area worth considering, with flexible options for an environmental engineering bachelor's degree online or even an online degree in mechanical engineering.

Exploring these related online programs can help you find the best fit for your interests and career goals, while giving you the flexibility to learn from anywhere and on your own schedule.

Best Scientists Citing Luay Nakhleh

Trending Scientists

Recently Published Articles