World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
8513
World Ranking
8725
National Ranking
434

Michael Gertz 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 Michael Gertz 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: 257 publications — 64th percentile

64% of scientists in this discipline score the same or lower.

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

Michael Gertz 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 Michael Gertz 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Michael Gertz is affiliated with Heidelberg University in Germany and mainly contributes to the field of Computer Science.

The scientist's research spans several significant subfields, including:

  • Artificial Intelligence
  • Pharmacology
  • Molecular Biology
  • Ophthalmology
  • Statistical and Nonlinear Physics

Major topics covered in their work include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Pharmacogenetics and Drug Metabolism
  • Complex Network Analysis Techniques
  • Retinal Diseases and Treatments
  • Text Readability and Simplification
  • 3D Printing in Biomedical Research

Recent publications by Michael Gertz reflect a multidisciplinary approach, with contributions primarily in pharmacology and biomedical research contexts. Selected papers include:

  • Application of a gut-liver-on-a-chip device and mechanistic modelling to the quantitative in vitro pharmacokinetic study of mycophenolate mofetil, 2022, Lab on a Chip
  • Exploration and application of a liver-on-a-chip device in combination with modelling and simulation for quantitative drug metabolism studies, 2022, Lab on a Chip
  • Model-Based Drug-Drug Interaction Extrapolation Strategy From Adults to Children: Risdiplam in Pediatric Patients With Spinal Muscular Atrophy, 2021, Clinical Pharmacology & Therapeutics
  • Global Sensitivity Analysis of the Rodgers and Rowland Model for Prediction of Tissue: Plasma Partitioning Coefficients: Assessment of the Key Physiological and Physicochemical Factors That Determine Small-Molecule Tissue Distribution, 2020, The AAPS Journal
  • DeepNC: Deep Generative Network Completion, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence

Michael Gertz frequently collaborates with several co-authors, among whom are:

  • Aleksandra Galetin
  • Kayode Ogungbenro
  • Leon Aarons
  • Dennis Aumiller
  • Satya Almasian

The scientist publishes regularly in various venues, with most frequent contributions to:

  • arXiv (Cornell University)
  • The AAPS Journal
  • CPT Pharmacometrics & Systems Pharmacology
  • SSRN Electronic Journal
  • Lab on a Chip

Best Publications

  • Mining email social networks

    Christian Bird;Alex Gourley;Prem Devanbu;Michael Gertz

  • Advances in Spatial and Temporal Databases

    Michael Gertz;Matthias Renz;Xiaofang Zhou;Erik Hoel

  • HeidelTime: High Quality Rule-Based Extraction and Normalization of Temporal Expressions

    Jannik Strötgen;Michael Gertz

  • Authentic Third-party Data Publication

    Premkumar T. Devanbu;Michael Gertz;Charles U. Martel;Stuart G. Stubblebine

  • EvenTweet: online localized event detection from twitter

    Hamed Abdelhaq;Christian Sengstock;Michael Gertz

  • A General Model for Authenticated Data Structures

    Charles Martel;Glen Nuckolls;Premkumar Devanbu;Michael Gertz

  • DEMIDS: a misuse detection system for database systems

    Christina Yip Chung;Michael Gertz;Karl Levitt

  • Multilingual and cross-domain temporal tagging

    Jannik Strötgen;Michael Gertz

  • On the value of temporal information in information retrieval

    Omar Alonso;Michael Gertz;Ricardo Baeza-Yates

  • Authentic data publication over the internet

    Premkumar Devanbu;Michael Gertz;Charles Martel;Stuart G. Stubblebine

  • A Model and Framework for Visualization Exploration

    T.J. Jankun-Kelly;Kwan-Liu Ma;M. Gertz

  • Temporal Information Retrieval: Challenges and Opportunities

    Omar Alonso;Jannik Strötgen;Ricardo A. Baeza-Yates;Michael Gertz

  • Clustering and exploring search results using timeline constructions

    Omar Alonso;Michael Gertz;Ricardo Baeza-Yates

  • Flexible authentication of XML documents

    P. Devanbu;M. Gertz;A. Kwong;C. Martel

  • Semantic integrity support in SQL:1999 and commercial (object-)relational database management systems

    Can Türker;Michael Gertz

  • Report on the Dagstuhl Seminar

    Michael Gertz;M. Tamer Özsu;Gunter Saake;Kai-Uwe Sattler

  • On Distributing XML Repositories.

    Jan-Marco Bremer;Michael Gertz

  • A model for the visualization exploration process

    T. J. Jankun-Kelly;Kwan Liu Ma;Michael Gertz

  • Reverse engineering for Web data: from visual to semantic structures

    C.Y. Chung;M. Gertz;N. Sundaresan

  • Temporal Tagging on Different Domains: Challenges, Strategies, and Gold Standards

    Jannik Str"otgen;Michael Gertz

  • Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems

    Mohamed Ali;Yan Huang;Michael Gertz;Matthias Renz

Frequent Co-Authors

Premkumar Devanbu
Premkumar Devanbu University of California, Davis
Ricardo Baeza-Yates
Ricardo Baeza-Yates Royal Institute of Technology
Charles U. Martel
Charles U. Martel University of California, Davis
Karl N. Levitt
Karl N. Levitt University of California, Davis
Jan O. Korbel
Jan O. Korbel European Molecular Biology Laboratory
Yan Huang
Yan Huang University of North Texas
Bertram Ludäscher
Bertram Ludäscher University of Illinois at Urbana-Champaign
Alexander L. Wolf
Alexander L. Wolf University of California, Santa Cruz
Antonio Carzaniga
Antonio Carzaniga Universita della Svizzera Italiana
Elisa Bertino
Elisa Bertino Purdue University West Lafayette

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