World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
34
Citations
5192
World Ranking
12137
National Ranking
602

Monika Heiner 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 Monika Heiner 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: 157 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Monika Heiner 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 Monika Heiner 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: 34 D-Index — 16th percentile

16% of scientists in this discipline score the same or lower.

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

Overview

Monika Heiner is affiliated with Brandenburg University of Technology in Germany. Their research primarily spans the fields of Biochemistry, Genetics and Molecular Biology, and Medicine, with more focused work in Molecular Biology, Pulmonary and Respiratory Medicine, and Surgery. Additionally, they have contributed to studies in Management Science and Operations Research as well as Computational Theory and Mathematics.

The scientist's research interests include several core topics such as Gene Regulatory Network Analysis, Neonatal Respiratory Health Research, Congenital Diaphragmatic Hernia Studies, Respiratory Support and Mechanisms, DNA and Biological Computing, Microbial Metabolic Engineering and Bioproduction, and Bioinformatics and Genomic Networks.

Monika Heiner has published extensively in journals and venues notable in the life sciences and computational biology domains. Frequent publication venues include bioRxiv (Cold Spring Harbor Laboratory), SSRN Electronic Journal, Briefings in Bioinformatics, Biosystems, and Stem Cells.

  • Fei Liu
  • Susanne Herold
  • Ana Ivonne Vazquez-Armendariz
  • George Assaf
  • Savério Bellusci

Their recent papers reflect a focus on lung development, pulmonary cell biology, and computational approaches to biological systems. Key recent publications are:

  • Multilineage murine stem cells generate complex organoids to model distal lung development and disease, 2020, The EMBO Journal
  • Identification of a novel subset of alveolar type 2 cells enriched in PD-L1 and expanded following pneumonectomy, 2021, European Respiratory Journal
  • Characterization in Mice of the Resident Mesenchymal Niche Maintaining At2 Stem Cell Proliferation in Homeostasis and Disease, 2021, Stem Cells
  • Alveolar macrophage-expressed Plet1 is a driver of lung epithelial repair after viral pneumonia, 2024, Nature Communications
  • Hybrid modelling of biological systems: current progress and future prospects, 2022, Briefings in Bioinformatics

Best Publications

  • Petri nets for systems and synthetic biology

    Monika Heiner;David Gilbert;Robin Donaldson

  • Snoopy --- a unifying petri net tool

    Monika Heiner;Mostafa Herajy;Fei Liu;Christian Rohr

  • Intronic CA-repeat and CA-rich elements: a new class of regulators of mammalian alternative splicing.

    Jingyi Hui;Lee-Hsueh Hung;Monika Heiner;Silke Schreiner

  • Application of Petri net based analysis techniques to signal transduction pathways

    Andrea Sackmann;Monika Heiner;Ina Koch

  • Model validation of biological pathways using Petri nets--demonstrated for apoptosis.

    Monika Heiner;Ina Koch;Jürgen Will

  • Snoopy - a unifying Petri net framework to investigate biomolecular networks

    Christian Rohr;Christian Rohr;Christian Rohr;Wolfgang Marwan;Wolfgang Marwan;Monika Heiner

  • Application of Petri net theory for modelling and validation of the sucrose breakdown pathway in the potato tuber

    Ina Koch;Björn H. Junker;Monika Heiner

  • Diverse roles of hnRNP L in mammalian mRNA processing: A combined microarray and RNAi analysis

    Lee-Hsueh Hung;Monika Heiner;Jingyi Hui;Silke Schreiner

  • Steady State Analysis of Metabolic Pathways Using Petri Nets

    Klaus Voss;Monika Heiner;Ina Koch

  • From petri nets to differential equations – an integrative approach for biochemical network analysis

    David Gilbert;Monika Heiner

  • Petri net based model validation in systems biology

    Monika Heiner;Ina Koch

  • A unifying framework for modelling and analysing biochemical pathways using Petri nets

    David Gilbert;Monika Heiner;Sebastian Lehrack

  • Modularization of biochemical networks based on classification of Petri net t-invariants

    Eva Grafahrend-Belau;Falk Schreiber;Monika Heiner;Andrea Sackmann

  • A structured approach for the engineering of biochemical network models, illustrated for signalling pathways

    Rainer Breitling;David R. Gilbert;Monika Heiner;Richard J. Orton

  • MARCIE: model checking and reachability analysis done efficiently

    Monika Heiner;Christian Rohr;Martin Schwarick

  • Hybrid representation and simulation of stiff biochemical networks

    Mostafa Herajy;Monika Heiner

  • Petri nets in Snoopy: a unifying framework for the graphical display, computational modelling, and simulation of bacterial regulatory networks.

    Wolfgang Marwan;Christian Rohr;Monika Heiner

  • Time Petri Nets for Modelling and Analysis of Biochemical Networks

    Louchka Popova-Zeugmann;Monika Heiner;Ina Koch

  • Formal Techniques for Networked and Distributed Systems - FORTE 2003

    Hartmut König;Monika Heiner;Adam Wolisz

  • Charlie – An Extensible Petri Net Analysis Tool

    Monika Heiner;Martin Schwarick;Jan-Thierry Wegener

  • Model Validation of Biological Pathways Using Petri Nets - Demonstrated for Apoptosis

    Monika Heiner;Ina Koch;Jürgen Will

Frequent Co-Authors

David Gilbert
David Gilbert Brunel University London
Ina Koch
Ina Koch Goethe University Frankfurt
Rainer Breitling
Rainer Breitling University of Manchester
Saverio Bellusci
Saverio Bellusci University of Giessen
Susanne Herold
Susanne Herold University of Giessen
Albrecht Bindereif
Albrecht Bindereif University of Giessen
Corrado Priami
Corrado Priami University of Pisa
Fred Schaper
Fred Schaper Otto-von-Guericke University Magdeburg
Stephen J. Powers
Stephen J. Powers Rothamsted Research
Adam Wolisz
Adam Wolisz Technical University of Berlin

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

Exploring related online degrees can expand your career opportunities in the computer science field. For example, earning an online master’s in electrical engineering degree is a valuable path for students interested in hardware, robotics, or communications. This advanced qualification opens doors to high-paying engineering roles and leadership opportunities in tech industries.

Not all career progress requires a full degree. There are 3-month certificate programs that pay well in the tech sector. These quick certifications can lead to jobs in cybersecurity, data analysis, or network administration, offering strong salaries and flexible entry points.

For those looking to upskill fast, the quickest masters degree online options allow you to earn a respected credential in just one year. Computer science and related disciplines often offer accelerated tracks that help you advance your career without a lengthy time commitment.

Lastly, choosing which master's degree is most in demand in usa can help you stay ahead in the job market. Degrees in areas like artificial intelligence, cybersecurity, and data science are consistently sought after by top employers, making them worthwhile investments for your future.

Best Scientists Citing Monika Heiner

Trending Scientists

Recently Published Articles