World's Best Scientists 2026 revealed!

D-Index & Metrics

Mathematics

D-Index
41
Citations
7606
World Ranking
1898
National Ranking
809

Engineering and Technology

D-Index
42
Citations
8705
World Ranking
6443
National Ranking
1769

Erik M. Bollt 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 Erik M. Bollt 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: 209 publications — 65th percentile

65% of scientists in this discipline score the same or lower.

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

Erik M. Bollt 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 Erik M. Bollt 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: 41 D-Index — 49th percentile

49% of scientists in this discipline score the same or lower.

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

Overview

Erik M. Bollt is affiliated with Clarkson University in the United States and has an extensive research portfolio primarily spanning Computer Science and Physics and Astronomy. Their scholarly work includes a significant focus on domains such as Statistical and Nonlinear Physics, Artificial Intelligence, Molecular Biology, Cognitive Neuroscience, and Control and Systems Engineering.

The research topics Erik M. Bollt has contributed to cover diverse areas in computational and physical sciences. Key topics include Model Reduction and Neural Networks, Neural Networks and Applications, Complex Network Analysis Techniques, Nonlinear Dynamics and Pattern Formation, Neural Dynamics and Brain Function, Neural Networks and Reservoir Computing, and Gene Regulatory Network Analysis.

Among their recent publications are:

  • On explaining the surprising success of reservoir computing forecaster of chaos? The universal machine learning dynamical system with contrast to VAR and DMD (2021, Chaos An Interdisciplinary Journal of Nonlinear Science)
  • How entropic regression beats the outliers problem in nonlinear system identification (2020, Chaos An Interdisciplinary Journal of Nonlinear Science)
  • Intralayer Synchronization in Evolving Multiplex Hypernetworks: Analytical Approach (2020, SIAM Journal on Applied Dynamical Systems)
  • Decoding collective communications using information theory tools (2020, Journal of The Royal Society Interface)
  • Predicting sea surface temperatures with coupled reservoir computers (2022, Nonlinear Processes in Geophysics)

The venues where Erik M. Bollt most frequently publishes reflect their interdisciplinary focus, including:

  • arXiv (Cornell University)
  • Chaos An Interdisciplinary Journal of Nonlinear Science
  • Scientific Reports
  • SIAM Journal on Applied Dynamical Systems
  • MDPI (MDPI AG)

Collaboration is a notable component of their research activity, with frequent coauthors including Jeremie Fish, Abd AlRahman R. AlMomani, Paul J. Laurienti, Jie Sun, and Sudam Surasinghe. This indicates active participation in collaborative research efforts across various topics and disciplines.

Best Publications

  • Inferring causation from time series in Earth system sciences

    Jakob Runge;Jakob Runge;Sebastian Bathiany;Erik Bollt;Gustau Camps-Valls

  • Next generation reservoir computing.

    Daniel J. Gauthier;Erik Bollt;Aaron Griffith;Wendson A. S. Barbosa

  • Extended dynamic mode decomposition with dictionary learning: A data-driven adaptive spectral decomposition of the Koopman operator

    Qianxiao Li;Felix Dietrich;Erik M. Bollt;Ioannis G. Kevrekidis

  • Sufficient Conditions for Fast Switching Synchronization in Time-Varying Network Topologies

    Daniel J. Stilwell;Erik M. Bollt;D. Gray Roberson

  • Causal Network Inference by Optimal Causation Entropy

    Jie Sun;Dane Taylor;Erik M. Bollt

  • Master stability functions for coupled nearly identical dynamical systems

    Jie Sun;Erik M. Bollt;Takashi Nishikawa

  • Causation entropy identifies indirect influences, dominance of neighbors and anticipatory couplings

    Jie Sun;Erik M. Bollt

  • Hybrid chaos synchronization and its application in information processing

    Qingxian Xie;Guanrong Chen;E. M. Bollt

  • An information-theoretic, all-scales approach to comparing networks

    James P. Bagrow;Erik M. Bollt

  • What is special about diffusion on scale-free nets?

    Erik M Bollt;Daniel ben-Avraham

  • On Explaining the Surprising Success of Reservoir Computing Forecaster of Chaos? The Universal Machine Learning Dynamical System with Contrasts to VAR and DMD

    Erik Bollt

  • Synchronization in Random Weighted Directed Networks

    M. Porfiri;D.J. Stilwell;E.M. Bollt

  • Random talk: Random walk and synchronizability in a moving neighborhood network☆

    Maurizio Porfiri;Daniel J. Stilwell;Erik M. Bollt;Joseph D. Skufca

  • Communication and synchronization in, disconnected networks with dynamic topology: moving neighborhood networks.

    Joseph D. Skufca;Erik M. Bollt;Erik M. Bollt

  • Targeting chaotic orbits to the Moon through recurrence

    Erik M Bollt;James D Meiss

  • CODING, CHANNEL CAPACITY, AND NOISE RESISTANCE IN COMMUNICATING WITH CHAOS

    Erik Bollt;Ying Cheng Lai;Celso Grebogi

  • Master Stability Functions for Coupled Near-Identical Dynamical Systems

    Jie Sun;Erik M. Bollt;Takashi Nishikawa

  • Applied and Computational Measurable Dynamics

    Erik M. Bollt;Naratip Santitissadeekorn

  • Estimating generating partitions of chaotic systems by unstable periodic orbits

    Ruslan L. Davidchack;Ying-Cheng Lai;Erik M. Bollt;Mukeshwar Dhamala;Mukeshwar Dhamala;Mukeshwar Dhamala

  • High resolution MEMS accelerometers to estimate VO2 and compare running mechanics between highly trained inter-collegiate and untrained runners.

    Stephen J. McGregor;Michael A. Busa;James A. Yaggie;Erik M. Bollt

  • Stochastic synchronization over a moving neighborhood network

    M. Porfiri;D.J. Stilwell;E.M. Bollt;J.D. Skufca

Frequent Co-Authors

Maurizio Porfiri
Maurizio Porfiri New York University
Daniel ben-Avraham
Daniel ben-Avraham Clarkson University
Ioannis G. Kevrekidis
Ioannis G. Kevrekidis Johns Hopkins University
Ying-Cheng Lai
Ying-Cheng Lai Arizona State University
Pier Marzocca
Pier Marzocca RMIT University
Mason A. Porter
Mason A. Porter University of California, Los Angeles
James D. Meiss
James D. Meiss University of Colorado Boulder
Nicholas T. Ouellette
Nicholas T. Ouellette Stanford University
Goodarz Ahmadi
Goodarz Ahmadi Clarkson University
Jakob Zscheischler
Jakob Zscheischler Helmholtz Centre for Environmental Research

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