World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
43
Citations
8631
World Ranking
1683
National Ranking
728

Computer Science

D-Index
50
Citations
11104
World Ranking
5581
National Ranking
2550

Matthias Dehmer publication distribution in Mathematics in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Mathematics in 2026. The highlighted bar marks where Matthias Dehmer sits on this spectrum.

42–46 publications: 3 scientists 47–51 publications: 5 scientists 52–56 publications: 7 scientists 57–61 publications: 20 scientists 62–66 publications: 14 scientists 67–71 publications: 25 scientists 72–76 publications: 19 scientists 77–81 publications: 35 scientists 82–86 publications: 50 scientists 87–91 publications: 60 scientists 92–96 publications: 86 scientists 97–101 publications: 84 scientists 102–106 publications: 83 scientists 107–111 publications: 90 scientists 112–116 publications: 99 scientists 117–121 publications: 90 scientists 122–126 publications: 91 scientists 127–131 publications: 109 scientists 132–136 publications: 110 scientists 137–141 publications: 98 scientists 142–146 publications: 112 scientists 147–151 publications: 102 scientists 152–156 publications: 88 scientists 157–161 publications: 106 scientists 162–166 publications: 83 scientists 167–171 publications: 102 scientists 172–176 publications: 77 scientists 177–181 publications: 81 scientists 182–186 publications: 78 scientists 187–191 publications: 71 scientists 192–196 publications: 92 scientists 197–201 publications: 64 scientists 202–206 publications: 69 scientists 207–211 publications: 64 scientists 212–216 publications: 62 scientists 217–221 publications: 58 scientists 222–226 publications: 53 scientists 227–231 publications: 50 scientists 232–236 publications: 46 scientists 237–241 publications: 46 scientists 242–246 publications: 46 scientists 247–251 publications: 43 scientists 252–256 publications: 29 scientists 257–261 publications: 45 scientists 262–266 publications: 30 scientists 267–271 publications: 33 scientists 272–276 publications: 34 scientists 277–281 publications: 30 scientists 282–286 publications: 31 scientists 287–291 publications: 21 scientists 292–296 publications: 34 scientists 297–301 publications: 26 scientists 302–306 publications: 10 scientists 307–311 publications: 17 scientists 312–316 publications: 23 scientists 317–321 publications: 13 scientists 322–326 publications: 16 scientists 327–331 publications: 26 scientists 332–336 publications: 13 scientists 337–341 publications: 13 scientists 342–346 publications: 16 scientists 347–351 publications: 17 scientists 352–356 publications: 12 scientists 357–361 publications: 18 scientists 362–366 publications: 18 scientists 367–371 publications: 9 scientists 372–376 publications: 11 scientists 377–381 publications: 8 scientists 382–386 publications: 8 scientists 387–391 publications: 9 scientists 392–396 publications: 9 scientists 397–401 publications: 8 scientists 402–406 publications: 11 scientists 407–411 publications: 6 scientists 412–416 publications: 6 scientists 417–421 publications: 9 scientists 422–426 publications: 8 scientists 427–431 publications: 5 scientists 432–436 publications: 8 scientists 437–441 publications: 8 scientists 442–446 publications: 4 scientists 447–451 publications: 4 scientists 452–456 publications: 4 scientists 457–461 publications: 2 scientists 462–466 publications: 2 scientists 467–471 publications: 4 scientists 472–476 publications: 3 scientists 477–481 publications: 3 scientists 482–486 publications: 6 scientists 487–491 publications: 3 scientists 492–496 publications: 5 scientists 497–501 publications: 5 scientists 502–506 publications: 1 scientists 507–511 publications: 6 scientists 512–516 publications: 4 scientists 517–521 publications: 1 scientists 522–526 publications: 3 scientists 527–531 publications: 1 scientists 532–536 publications: 4 scientists 537+ publications: 100 scientists
42 publications 537+

This scientist: 238 publications — 74th percentile

74% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 537 publications or more.

Matthias Dehmer D-index placement in Mathematics in 2026

The chart shows the D-index (discipline H-index) distribution of Mathematics scientists ranked by Research.com in 2026. The highlighted bar marks where Matthias Dehmer sits on this spectrum.

30 D-Index: 174 scientists 31 D-Index: 151 scientists 32 D-Index: 174 scientists 33 D-Index: 117 scientists 34 D-Index: 136 scientists 35 D-Index: 127 scientists 36 D-Index: 145 scientists 37 D-Index: 153 scientists 38 D-Index: 150 scientists 39 D-Index: 150 scientists 40 D-Index: 138 scientists 41 D-Index: 136 scientists 42 D-Index: 93 scientists 43 D-Index: 108 scientists 44 D-Index: 115 scientists 45 D-Index: 112 scientists 46 D-Index: 103 scientists 47 D-Index: 75 scientists 48 D-Index: 59 scientists 49 D-Index: 67 scientists 50 D-Index: 60 scientists 51 D-Index: 57 scientists 52 D-Index: 59 scientists 53 D-Index: 62 scientists 54 D-Index: 60 scientists 55 D-Index: 50 scientists 56 D-Index: 42 scientists 57 D-Index: 54 scientists 58 D-Index: 50 scientists 59 D-Index: 42 scientists 60 D-Index: 41 scientists 61 D-Index: 35 scientists 62 D-Index: 40 scientists 63 D-Index: 21 scientists 64 D-Index: 31 scientists 65 D-Index: 27 scientists 66 D-Index: 29 scientists 67 D-Index: 19 scientists 68 D-Index: 25 scientists 69 D-Index: 17 scientists 70 D-Index: 18 scientists 71 D-Index: 12 scientists 72 D-Index: 14 scientists 73 D-Index: 13 scientists 74 D-Index: 18 scientists 75 D-Index: 9 scientists 76 D-Index: 11 scientists 77 D-Index: 10 scientists 78 D-Index: 9 scientists 79 D-Index: 16 scientists 80 D-Index: 12 scientists 81 D-Index: 10 scientists 82 D-Index: 5 scientists 83 D-Index: 5 scientists 84 D-Index: 13 scientists 85 D-Index: 6 scientists 86+ D-Index: 99 scientists
30 D-Index 86+

This scientist: 43 D-Index — 54th percentile

54% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 86 D-Index or more.

Overview

Matthias Dehmer is affiliated with the University of Miami in the United States. Their research spans across multiple domains within computer science and mathematics, with a particular focus on graph theory and computational approaches in these fields.

The main fields of study in Dehmer's research include:

  • Computer Science
  • Mathematics

Within these domains, their work concentrates on several subfields such as:

  • Geometry and Topology
  • Computational Theory and Mathematics
  • Artificial Intelligence
  • Statistical and Nonlinear Physics
  • Molecular Biology

Dehmer's research topics reflect an interdisciplinary approach, combining elements from graph theory and computational modeling. The key topics include:

  • Graph theory and applications
  • Complex Network Analysis Techniques
  • Computational Drug Discovery Methods
  • Synthesis and Properties of Aromatic Compounds
  • Graph Labeling and Dimension Problems
  • Advanced Graph Theory Research
  • Bioinformatics and Genomic Networks

The scientist has published extensively, with frequent contributions to several key journals and publication venues. These include:

  • Applied Mathematics and Computation
  • Symmetry
  • IEEE Access
  • Information Sciences
  • arXiv (Cornell University)

Among their recent papers are:

  • "An Introductory Review of Deep Learning for Prediction Models With Big Data", 2020, Frontiers in Artificial Intelligence
  • "Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence", 2021, Information Fusion
  • "Named Entity Recognition and Relation Detection for Biomedical Information Extraction", 2020, Frontiers in Cell and Developmental Biology
  • "Combining deep learning with token selection for patient phenotyping from electronic health records", 2020, Scientific Reports
  • "Impact of information diffusion on epidemic spreading in partially mapping two-layered time-varying networks", 2021, Nonlinear Dynamics

Dehmer has collaborated frequently with a number of coauthors, including:

  • Frank Emmert-Streib
  • Modjtaba Ghorbani
  • Zengqiang Chen
  • Shailesh Tripathi
  • Jin Tao

Best Publications

  • A history of graph entropy measures

    Matthias Dehmer;Abbe Mowshowitz

  • An Introductory Review of Deep Learning for Prediction Models With Big Data

    Frank Emmert-Streib;Zhen Yang;Han Feng;Shailesh Tripathi

  • Gene regulatory networks and their applications: understanding biological and medical problems in terms of networks

    Frank Emmert-Streib;Matthias Dehmer;Benjamin Haibe-Kains

  • Information processing in complex networks: Graph entropy and information functionals

    Matthias Dehmer

  • A review of connectivity map and computational approaches in pharmacogenomics.

    Aliyu Musa;Laleh Soltan Ghoraie;Shu-Dong Zhang;Galina V. Glazko

  • Knowledge Discovery and interactive Data Mining in Bioinformatics - State-of-the-Art, future challenges and research directions

    Andreas Holzinger;Andreas Holzinger;Matthias Dehmer;Igor Jurisica;Igor Jurisica

  • Fifty years of graph matching, network alignment and network comparison

    Frank Emmert-Streib;Matthias Dehmer;Yongtang Shi

  • On structure-sensitivity of degree-based topological indices

    Boris Furtula;Ivan Gutman;Ivan Gutman;Matthias Dehmer

  • Entropy and the Complexity of Graphs Revisited

    Abbe Mowshowitz;Matthias Dehmer

  • A new coupled disease-awareness spreading model with mass media on multiplex networks

    Chengyi Xia;Zhishuang Wang;Chunyuan Zheng;Quantong Guo

  • Information fusion as an integrative cross-cutting enabler to achieve robust, explainable, and trustworthy medical artificial intelligence

    Andreas Holzinger;Andreas Holzinger;Matthias Dehmer;Frank Emmert-Streib;Rita Cucchiara

  • Extremality of degree-based graph entropies

    Shujuan Cao;Matthias Dehmer;Yongtang Shi

  • High-Dimensional LASSO-Based Computational Regression Models: Regularization, Shrinkage, and Selection

    Frank Emmert-Streib;Matthias Dehmer

  • A Note on Distance-based Graph Entropies

    Zengqiang Chen;Matthias Dehmer;Yongtang Shi

  • Named Entity Recognition and Relation Detection for Biomedical Information Extraction

    Nadeesha Perera;Matthias Dehmer;Frank Emmert-Streib

  • Networks for systems biology: conceptual connection of data and function

    Frank Emmert-Streib;M. Dehmer

  • Statistical modelling of molecular descriptors in QSAR/QSPR

    Matthias Dehmer;Kurt Varmuza;Danail Bonchev

  • Interplay between SIR-based disease spreading and awareness diffusion on multiplex networks

    Chunyuan Zheng;Chengyi Xia;Quantong Guo;Quantong Guo;Matthias Dehmer

  • Structural Analysis of Complex Networks

    Matthias Dehmer

  • On Entropy-Based Molecular Descriptors: Statistical Analysis of Real and Synthetic Chemical Structures

    Matthias Dehmer;Kurt Varmuza;Stephan Borgert;Frank Emmert-Streib

  • Analysis of Microarray Data: A Network-Based Approach

    Frank Emmert-Streib;Matthias Dehmer

  • Analysis of Complex Networks: From Biology to Linguistics

    Matthias Dehmer;Frank Emmert-Streib

  • A review of connectivity map and computational approaches in pharmacogenomics

    Unknown

Frequent Co-Authors

Frank Emmert-Streib
Frank Emmert-Streib Tampere University
Zengqiang Chen
Zengqiang Chen Nankai University
Andreas Holzinger
Andreas Holzinger BOKU University
Ivan Gutman
Ivan Gutman University of Kragujevac
Max Mühlhäuser
Max Mühlhäuser Technical University of Darmstadt
Guangming Xie
Guangming Xie Peking University
Chengyi Xia
Chengyi Xia Tianjin Polytechnic University
Benjamin Haibe-Kains
Benjamin Haibe-Kains Princess Margaret Cancer Centre
Igor Jurisica
Igor Jurisica University Health Network
Boris Furtula
Boris Furtula University of Kragujevac

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