World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
63
Citations
19411
World Ranking
436
National Ranking
229

Martin Golubitsky 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 Martin Golubitsky 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: 82 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: 200 publications — 62nd percentile

62% of scientists in this discipline score the same or lower.

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

Martin Golubitsky 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 Martin Golubitsky 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: 137 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: 63 D-Index — 88th percentile

88% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2013 - Fellow of the American Mathematical Society
  • 2009 - SIAM Fellow For contributions to nonlinear dynamics and bifurcation theory.
  • 2006 - Fellow of the American Academy of Arts and Sciences
  • 1987 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Martin Golubitsky is affiliated with The Ohio State University in the United States. Their research spans multiple fields with a focus on biochemistry, genetics, molecular biology, and physics and astronomy. The work primarily involves areas such as gene regulatory network analysis, microbial metabolic engineering and bioproduction, opinion dynamics and social influence, nonlinear dynamics and pattern formation, stochastic dynamics and bifurcation, complex network analysis techniques, and neural dynamics and brain function.

The scientist has published extensively in both journal articles and books. Publications include papers in the following venues:

  • arXiv (Cornell University)
  • Journal of Mathematical Biology
  • SIAM Journal on Applied Dynamical Systems
  • SSRN Electronic Journal
  • Mathematical Biosciences

Frequent co-authors in their work are:

  • Ian Stewart
  • Fernando Antoneli
  • Yangyang Wang
  • Zhengyuan Huang

Selected recent papers include:

  • "Infinitesimal homeostasis in three-node input-output networks," 2020, Journal of Mathematical Biology
  • "The structure of infinitesimal homeostasis in input-output networks," 2021, Journal of Mathematical Biology
  • "Breaking Indecision in Multiagent, Multioption Dynamics," 2023, SIAM Journal on Applied Dynamical Systems
  • "Bifurcations on Fully Inhomogeneous Networks," 2020, SIAM Journal on Applied Dynamical Systems
  • "Classification of infinitesimal homeostasis in four-node input-output networks," 2022, Journal of Mathematical Biology

Martin Golubitsky has contributed to academic literature through book publication, including:

  • Dynamics and Bifurcation in Networks: Theory and Applications of Coupled Differential Equations, published by the Society for Industrial and Applied Mathematics in 2023

Their main fields of study, divided by subfields, include:

  • Molecular Biology
  • Statistical and Nonlinear Physics
  • Computer Networks and Communications
  • Cognitive Neuroscience
  • Global and Planetary Change

Martin Golubitsky has received several awards recognizing contributions to mathematics and related sciences, including:

  • Fellow of the American Mathematical Society (2013)
  • SIAM Fellow (2009) for contributions to nonlinear dynamics and bifurcation theory
  • Fellow of the American Academy of Arts and Sciences (2006)
  • Fellow of the American Association for the Advancement of Science (AAAS) (1987)

Best Publications

  • Singularities and groups in bifurcation theory

    Martin Golubitsky;Ian Nicholas Stewart;David G Schaeffer

  • Stable mappings and their singularities

    Martin Golubitsky;Victor Guillemin

  • Nonlinear dynamics of networks: the groupoid formalism

    Martin Golubitsky;Ian Stewart

  • Geometric visual hallucinations, Euclidean symmetry and the functional architecture of striate cortex.

    Paul C. Bressloff;Jack D. Cowan;Martin Golubitsky;Peter J. Thomas

  • The Symmetry Perspective

    Martin Golubitsky;Ian Stewart

  • Symmetry in locomotor central pattern generators and animal gaits.

    Martin Golubitsky;Ian Stewart;Pietro-Luciano Buono;J. J. Collins

  • A Theory for Imperfect Bifurcation via Singularity Theory.

    M. Golubitsky;D. Schaeffer

  • Patterns of synchrony in coupled cell networks with multiple arrows

    Martin Golubitsky;Ian Stewart;Andrei Torok

  • Symmetry Groupoids and Patterns of Synchrony in Coupled Cell Networks

    Ian Stewart;Martin Golubitsky;Marcus Pivato

  • The Symmetry Perspective: From Equilibrium to Chaos in Phase Space and Physical Space

    Martin Golubitsky;Ian Nicholas Stewart

  • What geometric visual hallucinations tell us about the visual cortex

    Paul C. Bressloff;Jack D. Cowan;Martin Golubitsky;Peter J. Thomas

  • Hopf Bifurcation in the presence of symmetry

    Martin Golubitsky;Ian Stewart

  • Classification and Unfoldings of Degenerate Hopf Bifurcations

    Martin Golubitsky;William F Langford

  • A modular network for legged locomotion

    Martin Golubitsky;Ian Stewart;Pietro-Luciano Buono;J. J. Collins

  • Symmetries and pattern selection in Rayleigh-Bénard convection

    M. Golubitsky;J.W. Swift;E. Knobloch

  • Symmetry-increasing bifurcation of chaotic attractors

    P. Chossat;M. Golubitsky

  • Fearful Symmetry: Is God a Geometer?

    Ian Nicholas Stewart;Martin Golubitsky

  • Models of central pattern generators for quadruped locomotion. I. Primary gaits.

    Pietro-Luciano Buono;Martin Golubitsky

  • Imperfect bifurcation in the presence of symmetry

    M. Golubitsky;D. Schaeffer

  • Boundary conditions and mode jumping in the buckling of a rectangular plate

    David Schaeffer;Martin Golubitsky

  • Singularities and Groups in Bifurcation Theory: Volume I

    David G. Schaeffer;Martin Golubitsky

Frequent Co-Authors

Michael Dellnitz
Michael Dellnitz University of Paderborn
Ian Melbourne
Ian Melbourne University of Warwick
Jerrold E. Marsden
Jerrold E. Marsden California Institute of Technology
Paul C. Bressloff
Paul C. Bressloff University of Utah
Yuan Lou
Yuan Lou Shanghai Jiao Tong University
John Guckenheimer
John Guckenheimer Cornell University
Edgar Knobloch
Edgar Knobloch University of California, Berkeley
Steven H. Strogatz
Steven H. Strogatz Cornell University

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

For students studying Mathematics in the USA, exploring related online degrees can open diverse career paths. Many graduates pursue business-oriented programs like the 1 year mba programs in usa to quickly enhance leadership skills and business acumen. These accelerated options help bridge the gap between quantitative expertise and management roles.

Transferability is another important consideration. Several institutions offer flexibility for students with prior credits through transfer credits for online mba programs, making it easier to continue education without repeating coursework. This is particularly beneficial for math students who have completed relevant undergraduate courses.

With the rise of data-driven industries, many math graduates also gravitate toward specialized programs like data analysis programs. These provide practical skills in handling big data, machine learning, and statistical modeling, all critical areas for modern careers.

Additionally, those looking for straightforward admission processes may consider some of the easiest mba programs to get into online. These can offer a smoother transition into graduate studies while still delivering valuable credentials for career advancement.

Best Scientists Citing Martin Golubitsky

Trending Scientists

Recently Published Articles