World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
55
Citations
20645
World Ranking
4190
National Ranking
1977

Robert L. Grossman 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 Robert L. Grossman 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: 286 publications — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Robert L. Grossman 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 Robert L. Grossman 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: 55 D-Index — 71st percentile

71% of scientists in this discipline score the same or lower.

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

Overview

Robert L. Grossman is affiliated with the University of Chicago in the United States. Their research spans several intersecting domains, primarily focusing on biochemistry, genetics, molecular biology, medicine, and computer science.

Grossman's work includes a variety of publications across multiple fields of study. Key areas include molecular biology and cancer research, along with artificial intelligence and information systems. Their research topics notably cover cancer genomics and diagnostics, scientific computing and data management, research data management practices, AI in cancer detection, data quality and management, radiomics and machine learning in medical imaging, and ethics in clinical research.

Frequent co-authors collaborating with Grossman include Zhenyu Zhang, Allison P. Heath, Brian D. O'Connor, Kyle M. Hernandez, and Lauren C. Leiman.

Research outputs have been frequently published in venues such as bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Cancer Research, Scientific Data, and Nature Biotechnology.

Recent papers include the following:

  • GA4GH: International policies and standards for data sharing across genomic research and healthcare, 2021, Cell Genomics
  • The impact of site-specific digital histology signatures on deep learning model accuracy and bias, 2021, Nature Communications
  • The NCI Genomic Data Commons, 2021, Nature Genetics
  • Uniform genomic data analysis in the NCI Genomic Data Commons, 2021, Nature Communications
  • Inverting the model of genomics data sharing with the NHGRI Genomic Data Science Analysis, Visualization, and Informatics Lab-space, 2022, Cell Genomics

Best Publications

  • Pan-cancer analysis of whole genomes

    Peter J. Campbell;Gad Getz;Jan O. Korbel;Joshua M. Stuart

  • Toward a Shared Vision for Cancer Genomic Data.

    Robert L. Grossman;Allison P. Heath;Vincent Ferretti;Harold E. Varmus

  • A User's Guide to the Encyclopedia of DNA Elements (ENCODE)

    Richard M. Myers;John Stamatoyannopoulos;Michael Snyder;Ian Dunham

  • Identification of Functional Elements and Regulatory Circuits by Drosophila modENCODE

    Sushmita Roy;Jason Ernst;Peter V. Kharchenko;Pouya Kheradpour

  • The Case for Cloud Computing

    R.L. Grossman

  • Mining data records in Web pages

    Bing Liu;Robert Grossman;Yanhong Zhai

  • Hybrid Systems

    Robert L. Grossman;Anil Nerode;Anders P. Ravn;Hans Rischel

  • UDT: UDP-based data transfer for high-speed wide area networks

    Yunhong Gu;Robert L. Grossman

  • Hybrid Systems I

    Robert L. Grossman

  • PSockets: The Case for Application-level Network Striping for Data Intensive Applications using High Speed Wide Area Networks

    H. Sivakumar;S. Bailey;R. L. Grossman

  • Graph-theoretic scagnostics

    L. Wilkinson;A. Anand;R. Grossman

  • Data mining using high performance data clouds: experimental studies using sector and sphere

    Robert Grossman;Yunhong Gu

  • Compute and storage clouds using wide area high performance networks

    Robert L. Grossman;Yunhong Gu;Michael Sabala;Wanzhi Zhang

  • The NCI Genomic Data Commons as an engine for precision medicine

    Mark A. Jensen;Vincent Ferretti;Robert L. Grossman;Louis M. Staudt

  • GA4GH: International policies and standards for data sharing across genomic research and healthcare

    Heidi L. Rehm;Heidi L. Rehm;Angela J.H. Page;Lindsay Smith;Jeremy B. Adams

  • Data Mining for Scientific and Engineering Applications

    Vipin Kumar;Robert L. Grossman

  • The impact of site-specific digital histology signatures on deep learning model accuracy and bias.

    Frederick M. Howard;James Dolezal;Sara Kochanny;Jefree Schulte

  • A Nondegenerate Code of Deleterious Variants in Mendelian Loci Contributes to Complex Disease Risk

    David R. Blair;Christopher S. Lyttle;Jonathan M. Mortensen;Charles F. Bearden

  • Sector and Sphere: the design and implementation of a high-performance data cloud

    Yunhong Gu;Robert L. Grossman

  • Hopf-algebraic structure of families of trees

    Robert Grossman;Richard G Larson

  • PeakRanger: A cloud-enabled peak caller for ChIP-seq data

    Xin Feng;Xin Feng;Xin Feng;Robert Grossman;Lincoln Stein;Lincoln Stein;Lincoln Stein

Frequent Co-Authors

Kevin P. White
Kevin P. White National University of Singapore
Margaret A. LeMone
Margaret A. LeMone National Center for Atmospheric Research
Fei Chen
Fei Chen National Center for Atmospheric Research
Lincoln Stein
Lincoln Stein Ontario Institute for Cancer Research
Christopher D. Brown
Christopher D. Brown University of Pennsylvania
Jason Leigh
Jason Leigh University of Hawaii at Manoa
David Yates
David Yates National Center for Atmospheric Research
Louis M. Staudt
Louis M. Staudt National Institutes of Health
Richard Coulter
Richard Coulter Argonne National Laboratory

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