World's Best Scientists 2026 revealed!

D-Index & Metrics

Engineering and Technology

D-Index
44
Citations
6638
World Ranking
5884
National Ranking
21

Gašper Tkačik publication distribution in Engineering and Technology in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Engineering and Technology in 2026. The highlighted bar marks where Gašper Tkačik sits on this spectrum.

38–47 publications: 20 scientists 48–57 publications: 35 scientists 58–67 publications: 96 scientists 68–77 publications: 134 scientists 78–87 publications: 190 scientists 88–97 publications: 259 scientists 98–107 publications: 283 scientists 108–117 publications: 369 scientists 118–127 publications: 341 scientists 128–137 publications: 386 scientists 138–147 publications: 372 scientists 148–157 publications: 457 scientists 158–167 publications: 415 scientists 168–177 publications: 407 scientists 178–187 publications: 421 scientists 188–197 publications: 378 scientists 198–207 publications: 403 scientists 208–217 publications: 317 scientists 218–227 publications: 346 scientists 228–237 publications: 321 scientists 238–247 publications: 260 scientists 248–257 publications: 280 scientists 258–267 publications: 240 scientists 268–277 publications: 214 scientists 278–287 publications: 242 scientists 288–297 publications: 203 scientists 298–307 publications: 166 scientists 308–317 publications: 154 scientists 318–327 publications: 175 scientists 328–337 publications: 159 scientists 338–347 publications: 99 scientists 348–357 publications: 131 scientists 358–367 publications: 106 scientists 368–377 publications: 117 scientists 378–387 publications: 97 scientists 388–397 publications: 108 scientists 398–407 publications: 82 scientists 408–417 publications: 71 scientists 418–427 publications: 64 scientists 428–437 publications: 55 scientists 438–447 publications: 54 scientists 448–457 publications: 59 scientists 458–467 publications: 47 scientists 468–477 publications: 40 scientists 478–487 publications: 30 scientists 488–497 publications: 29 scientists 498–507 publications: 38 scientists 508–517 publications: 40 scientists 518–527 publications: 32 scientists 528–537 publications: 23 scientists 538–547 publications: 28 scientists 548–557 publications: 23 scientists 558–567 publications: 19 scientists 568–577 publications: 16 scientists 578–587 publications: 17 scientists 588–597 publications: 18 scientists 598–607 publications: 22 scientists 608–617 publications: 15 scientists 618–627 publications: 9 scientists 628–637 publications: 11 scientists 638–647 publications: 21 scientists 648–657 publications: 12 scientists 658–667 publications: 9 scientists 668–677 publications: 11 scientists 678–687 publications: 9 scientists 688–697 publications: 6 scientists 698–707 publications: 14 scientists 708–717 publications: 7 scientists 718–727 publications: 8 scientists 728–737 publications: 10 scientists 738–747 publications: 9 scientists 748–757 publications: 5 scientists 758–767 publications: 5 scientists 768–777 publications: 11 scientists 778–787 publications: 7 scientists 788–797 publications: 2 scientists 798–803 publications: 4 scientists 804+ publications: 100 scientists
38 publications 804+

This scientist: 111 publications — 12th percentile

12% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 804 publications or more.

Gašper Tkačik D-index placement in Engineering and Technology in 2026

The chart shows the D-index (discipline H-index) distribution of Engineering and Technology scientists ranked by Research.com in 2026. The highlighted bar marks where Gašper Tkačik sits on this spectrum.

30 D-Index: 59 scientists 31 D-Index: 114 scientists 32 D-Index: 128 scientists 33 D-Index: 189 scientists 34 D-Index: 200 scientists 35 D-Index: 262 scientists 36 D-Index: 311 scientists 37 D-Index: 312 scientists 38 D-Index: 350 scientists 39 D-Index: 385 scientists 40 D-Index: 349 scientists 41 D-Index: 362 scientists 42 D-Index: 425 scientists 43 D-Index: 380 scientists 44 D-Index: 310 scientists 45 D-Index: 341 scientists 46 D-Index: 301 scientists 47 D-Index: 306 scientists 48 D-Index: 271 scientists 49 D-Index: 246 scientists 50 D-Index: 210 scientists 51 D-Index: 253 scientists 52 D-Index: 213 scientists 53 D-Index: 221 scientists 54 D-Index: 195 scientists 55 D-Index: 186 scientists 56 D-Index: 170 scientists 57 D-Index: 167 scientists 58 D-Index: 166 scientists 59 D-Index: 144 scientists 60 D-Index: 152 scientists 61 D-Index: 141 scientists 62 D-Index: 138 scientists 63 D-Index: 131 scientists 64 D-Index: 118 scientists 65 D-Index: 114 scientists 66 D-Index: 119 scientists 67 D-Index: 94 scientists 68 D-Index: 87 scientists 69 D-Index: 77 scientists 70 D-Index: 89 scientists 71 D-Index: 69 scientists 72 D-Index: 54 scientists 73 D-Index: 46 scientists 74 D-Index: 55 scientists 75 D-Index: 54 scientists 76 D-Index: 49 scientists 77 D-Index: 53 scientists 78 D-Index: 46 scientists 79 D-Index: 28 scientists 80 D-Index: 39 scientists 81 D-Index: 36 scientists 82 D-Index: 24 scientists 83 D-Index: 26 scientists 84 D-Index: 36 scientists 85 D-Index: 18 scientists 86 D-Index: 24 scientists 87 D-Index: 19 scientists 88 D-Index: 26 scientists 89 D-Index: 27 scientists 90 D-Index: 23 scientists 91 D-Index: 15 scientists 92 D-Index: 12 scientists 93 D-Index: 9 scientists 94 D-Index: 15 scientists 95 D-Index: 10 scientists 96 D-Index: 13 scientists 97 D-Index: 13 scientists 98 D-Index: 9 scientists 99 D-Index: 7 scientists 100 D-Index: 7 scientists 101 D-Index: 8 scientists 102 D-Index: 7 scientists 103 D-Index: 7 scientists 104 D-Index: 9 scientists 105 D-Index: 6 scientists 106 D-Index: 9 scientists 107+ D-Index: 99 scientists
30 D-Index 107+

This scientist: 44 D-Index — 42nd percentile

42% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 107 D-Index or more.

Overview

Gašper Tkačik is affiliated with the Institute of Science and Technology Austria, contributing extensively to research in biochemistry, genetics, molecular biology, and neuroscience. Their scholarly output spans 74 publications in biochemistry, genetics, and molecular biology, alongside 24 in neuroscience, demonstrating a multidisciplinary approach within life sciences.

Their research encompasses several interconnected topics, notably:

  • Gene Regulatory Network Analysis
  • Neural dynamics and brain function
  • Evolution and Genetic Dynamics
  • Bacterial Genetics and Biotechnology
  • RNA and protein synthesis mechanisms
  • CRISPR and Genetic Engineering
  • Neural Networks and Applications

Notable papers include:

  • "The many bits of positional information" (2021) published in Development
  • "Mechanisms of drug interactions between translation-inhibiting antibiotics" (2020) published in Nature Communications
  • "Gene amplification as a form of population-level gene expression regulation" (2020) published in Nature Ecology & Evolution
  • "Learning probabilistic neural representations with randomly connected circuits" (2020) published in Proceedings of the National Academy of Sciences
  • "Statistical modeling of adaptive neural networks explains co-existence of avalanches and oscillations in resting human brain" (2023) published in Nature Computational Science

Their frequent co-authors include:

  • Călin C. Guet
  • Thomas Gregor
  • Bor Kavčič
  • Rok Grah
  • Michal Hledík

Gašper Tkačik's work appears regularly in high-impact and well-regarded scientific venues. These include:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • Proceedings of the National Academy of Sciences
  • arXiv (Cornell University)
  • Nature Communications
  • Development

Their subfields of study extend through molecular biology, genetics, cognitive neuroscience, artificial intelligence, and statistical and nonlinear physics, reflecting a broad yet focused research spectrum. This interdisciplinary orientation integrates computational and experimental approaches to understand complex biological systems and neural dynamics.

Best Publications

  • Information flow and optimization in transcriptional regulation

    Gašper Tkačik;Curtis Gove Callan;William Bialek

  • Information-based clustering.

    Noam Slonim;Gurinder Singh Atwal;Gašper Tkačik;William Bialek

  • Searching for collective behavior in a large network of sensory neurons.

    Gašper Tkačik;Olivier Marre;Olivier Marre;Dario Amodei;Elad Schneidman

  • Thermodynamics and signatures of criticality in a network of neurons

    Gašper Tkačik;Thierry Mora;Olivier Marre;Dario Amodei

  • Positional information, in bits.

    Julien O. Dubuis;Gašper Tkačik;Eric F. Wieschaus;Thomas Gregor

  • Information transmission in genetic regulatory networks: a review.

    Gašper Tkačik;Aleksandra M Walczak

  • Optimal population coding by noisy spiking neurons

    Gašper Tkačik;Jason S. Prentice;Vijay Balasubramanian;Elad Schneidman

  • The simplest maximum entropy model for collective behavior in a neural network

    Gašper Tkačik;Olivier Marre;Olivier Marre;Thierry Mora;Dario Amodei

  • Information Processing in Living Systems

    Gašper Tkačik;William Bialek

  • Decoding of position in the developing neural tube from antiparallel morphogen gradients

    Marcin Zagorski;Yoji Tabata;Nathalie Brandenberg;Matthias P. Lutolf

  • Optimal Decoding of Cellular Identities in a Genetic Network.

    Mariela D. Petkova;Mariela D. Petkova;Gašper Tkačik;William Bialek;Eric F. Wieschaus

  • Toward a unified theory of efficient, predictive, and sparse coding.

    Matthew Chalk;Olivier Marre;Gašper Tkačik

  • Optimizing information flow in small genetic networks.

    Gašper Tkačik;Aleksandra M. Walczak;William Bialek;William Bialek

  • Ising models for networks of real neurons

    Gasper Tkacik;Elad Schneidman;Michael J Berry;William Bialek

  • The dynamics of adaptation on correlated fitness landscapes.

    Sergey Kryazhimskiy;Gašper Tkačik;Joshua B. Plotkin

  • Information transmission in genetic regulatory networks: a review

    Aleksandra M Walczak;Gašper Tkačik

  • Information capacity of genetic regulatory elements.

    Gašper Tkačik;Curtis G. Callan;William Bialek

  • Stimulus-dependent maximum entropy models of neural population codes.

    Einat Granot-Atedgi;Gašper Tkačik;Ronen Segev;Elad Schneidman

  • Natural Images from the Birthplace of the Human Eye

    Gasper Tkacik;Gasper Tkacik;Patrick Garrigan;Charles P. Ratliff;Grega Milcinski

  • Optimizing Information Flow in Small Genetic Networks. II. Feed-forward Interactions

    Aleksandra M. Walczak;Gašper Tkačik;William Bialek

  • Optimizing information flow in small genetic networks

    Aleksandra M. Walczak;Gasper Tkacik;Curtis G. Callan;William Bialek

  • Information flow and optimization in transcriptional regulation

    Gasper Tkacik

Frequent Co-Authors

William Bialek
William Bialek Princeton University
Jonathan D. Victor
Jonathan D. Victor Cornell University
Nicholas H. Barton
Nicholas H. Barton Institute of Science and Technology Austria
Eric Wieschaus
Eric Wieschaus Princeton University
Noam Slonim
Noam Slonim IBM (United States)
Serge Picaud
Serge Picaud Institut de la Vision
James Briscoe
James Briscoe The Francis Crick Institute
Peter Sterling
Peter Sterling University of Pennsylvania
Roozbeh Kiani
Roozbeh Kiani New York University

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