World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
43
Citations
11901
World Ranking
7802
National Ranking
3377

Roger Perkins 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 Roger Perkins 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: 76 publications — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

Roger Perkins 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 Roger Perkins 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: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Overview

Roger Perkins is affiliated with the United States Food and Drug Administration in the United States. Their research work spans across psychology and social sciences with a particular focus on mental health and patient involvement, biomedical text mining, and social issues such as homelessness.

Their recent publications cover a range of interdisciplinary topics and include contributions to both methodological advances and applied social science research. Notable papers by Roger Perkins are:

  • 'Will there ever be a stage in anybody's life where they're not thinking about what I did?': exploring the expectations of people convicted of sexual offences, regarding their release from medium and long-term custodial sentences, 2025, Psychology Crime and Law
  • Text Fingerprinting and Topic Mining in the Prescription Opioid Use Literature, 2021, 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)
  • "Don't think about a pink elephant": collaboratively exploring the notion of desistance using the CoNavigator participatory tool, 2025, Journal of Criminal Psychology
  • Text Fingerprinting and Topic Mining in the Prescription Opioid Use Literature, 2021, Research Square (Research Square)
  • Understanding Asthma Heritability: A Systematic Review and Meta-analysis of Genome-wide Association Study Findings Across Ancestries and Ethnicities, 2025, American Journal of Respiratory and Critical Care Medicine

The scientist's work is represented in several publication venues: 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), Journal of Criminal Psychology, Research Square, American Journal of Respiratory and Critical Care Medicine, and Psychology Crime and Law.

Roger Perkins frequently collaborates with several co-authors, including Huyen Le, Junxiu Zhou, Weizhong Zhao, Weigong Ge, and Beverly Lyn-Cook. These collaborations reflect interdisciplinary integration especially in fields involving biomedical data mining and social sciences.

Their research areas engage with the following main fields and subfields of study:

  • Psychology
  • Social Sciences
  • Social Psychology
  • General Health Professions
  • Sociology and Political Science
  • Molecular Biology
  • Artificial Intelligence

Key topics explored in their publications include:

  • Mental Health via Writing
  • Biomedical Text Mining and Ontologies
  • Topic Modeling
  • Mental Health and Patient Involvement
  • Homelessness and Social Issues
  • Qualitative Research Methods and Ethics
  • Opioid Use Disorder Treatment

Best Publications

  • The MicroArray Quality Control (MAQC) project shows inter- and intraplatform reproducibility of gene expression measurements

    Leming Shi;Laura H. Reid;Wendell D. Jones;Richard Shippy

  • The Microarray Quality Control (MAQC)-II study of common practices for the development and validation of microarray-based predictive models

    Leming Shi;Gregory Campbell;Wendell D. Jones;Fabien Campagne

  • A comprehensive assessment of RNA-seq accuracy, reproducibility and information content by the Sequencing Quality Control Consortium

    Zhenqiang Su;Paweł P. Łabaj;Sheng Li;Jean Thierry-Mieg

  • Structure-activity relationships for a large diverse set of natural, synthetic, and environmental estrogens.

    Hong Fang;Weida Tong;Leming M. Shi;Robert Blair

  • QSAR models using a large diverse set of estrogens

    Leming M. Shi;Hong Fang;Weida Tong;Jie Wu

  • A heuristic approach to determine an appropriate number of topics in topic modeling

    Weizhong Zhao;Weizhong Zhao;James J Chen;Roger Perkins;Zhichao Liu

  • The balance of reproducibility, sensitivity, and specificity of lists of differentially expressed genes in microarray studies

    Leming Shi;Wendell D. Jones;Roderick V. Jensen;Stephen C. Harris

  • Mold2, Molecular Descriptors from 2D Structures for Chemoinformatics and Toxicoinformatics

    Huixiao Hong;Qian Xie;Weigong Ge;Feng Qian

  • Quantitative comparisons of in vitro assays for estrogenic activities.

    Hong Fang;Weida Tong;Roger Perkins;Ana M. Soto

  • ArrayTrack--supporting toxicogenomic research at the U.S. Food and Drug Administration National Center for Toxicological Research.

    Weida Tong;Xiaoxi Cao;Stephen Harris;Hongmei Sun

  • Decision Forest: Combining the Predictions of Multiple Independent Decision Tree Models

    Weida Tong;Huixiao Hong;Hong Fang;Qian Xie

  • Evaluation of Quantitative Structure−Activity Relationship Methods for Large-Scale Prediction of Chemicals Binding to the Estrogen Receptor†

    Weida Tong;David R. Lowis;Roger Perkins;Yu Chen

  • Cross-platform comparability of microarray technology: intra-platform consistency and appropriate data analysis procedures are essential.

    Leming Shi;Weida Tong;Hong Fang;Uwe Scherf

  • Next-generation sequencing and its applications in molecular diagnostics

    Zhenqiang Su;Baitang Ning;Hong Fang;Huixiao Hong

  • An investigation of biomarkers derived from legacy microarray data for their utility in the RNA-seq era

    Zhenqiang Su;Zhenqiang Su;Hong Fang;Huixiao Hong;Leming Shi

  • Reproducible and reliable microarray results through quality control: good laboratory proficiency and appropriate data analysis practices are essential

    Leming Shi;Roger G Perkins;Hong Fang;Weida Tong

  • Prediction of estrogen receptor binding for 58,000 chemicals using an integrated system of a tree-based model with structural alerts.

    Huixiao Hong;Weida Tong;Hong Fang;Leming Shi

  • Assessment of Prediction Confidence and Domain Extrapolation of Two Structure–Activity Relationship Models for Predicting Estrogen Receptor Binding Activity

    Weida Tong;Qian Xie;Huixiao Hong;Leming Shi

  • Development of public toxicogenomics software for microarray data management and analysis.

    Weida Tong;Stephen Harris;Xiaoxi Cao;Hong Fang

  • Microarray scanner calibration curves: characteristics and implications

    Leming Shi;Weida Tong;Zhenqiang Su;Tao Han

  • Next-Generation Sequencing (NGS): A Revolutionary Technology in Pharmacogenomics and Personalized Medicine

    Huixiao Hong;Wenqian Zhang;Zhenqiang Su;Jie Shen

Frequent Co-Authors

Weida Tong
Weida Tong National Center for Toxicological Research
Hong Fang
Hong Fang National Center for Toxicological Research
Huixiao Hong
Huixiao Hong United States Food and Drug Administration
Leming Shi
Leming Shi Fudan University
Lei Guo
Lei Guo National Center for Toxicological Research
Raj K. Puri
Raj K. Puri US Food and Drug Administration
Quan Zhen Li
Quan Zhen Li The University of Texas Southwestern Medical Center
James C. Willey
James C. Willey University of Toledo
Feng Qian
Feng Qian Fudan University
Cesare Furlanello
Cesare Furlanello Fondazione Bruno Kessler

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