World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
22337
World Ranking
12833
National Ranking
5171

Ernst Niebur 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 Ernst Niebur 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: 133 publications — 20th percentile

20% of scientists in this discipline score the same or lower.

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

Ernst Niebur 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 Ernst Niebur 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 1997 - Fellow of Alfred P. Sloan Foundation

Overview

Ernst Niebur is affiliated with Johns Hopkins University in the United States and has a multidisciplinary research profile spanning neuroscience and computer science. Their work primarily focuses on areas such as visual attention and saliency detection, visual perception and processing mechanisms, neural dynamics and brain function, neural and behavioral psychology studies, olfactory and sensory function studies, decision-making and behavioral economics, as well as EEG and brain-computer interfaces.

Their recent publications include:

  • "Standing out in a small crowd: The role of display size in attracting attention" (2021, Visual Cognition)
  • "Event-driven proto-object based saliency in 3D space to attract a robot's attention" (2022, Scientific Reports)
  • "Analysis of spiking synchrony in visual cortex reveals distinct types of top-down modulation signals for spatial and object-based attention" (2021, PLoS Computational Biology)
  • "A Neuromorphic Proto-Object Based Dynamic Visual Saliency Model With a Hybrid FPGA Implementation" (2021, IEEE Transactions on Biomedical Circuits and Systems)
  • "Proto-Object Based Saliency Model With Texture Detection Channel" (2020, Frontiers in Computational Neuroscience)

Niebur has collaborated frequently with several researchers including Aaron L. Sampson, Veit Stuphorn, Ralph Etienne-Cummings, You-Ping Yang, and Marius Usher.

The main publication venues for their work are bioRxiv (Cold Spring Harbor Laboratory), arXiv (Cornell University), Visual Cognition, Scientific Reports, and PLoS Computational Biology. Their scholarly output reflects a strong emphasis on cognitive neuroscience and computer vision and pattern recognition.

Their research contributions cover various subfields such as cognitive neuroscience, cellular and molecular neuroscience, sensory systems, and general decision sciences, which highlight a diverse approach to understanding neural and sensory functions.

Ernst Niebur was recognized as a Fellow of the Alfred P. Sloan Foundation in 1997.

Best Publications

  • A model of saliency-based visual attention for rapid scene analysis

    L. Itti;C. Koch;E. Niebur

  • Modeling the role of salience in the allocation of overt visual attention.

    Derrick Parkhurst;Klinton Law;Ernst Niebur

  • Attention modulates synchronized neuronal firing in primate somatosensory cortex.

    Peter N. Steinmetz;A. Roy;P. J. Fitzgerald;S. S. Hsiao

  • Neural Correlates of High-Gamma Oscillations (60–200 Hz) in Macaque Local Field Potentials and Their Potential Implications in Electrocorticography

    Supratim Ray;Nathan E. Crone;Ernst Niebur;Piotr J. Franaszczuk

  • Scene content selected by active vision.

    Derrick J. Parkhurst;Ernst Niebur

  • A Neural Model of Figure–Ground Organization

    Edward Craft;Hartmut Schütze;Hartmut Schütze;Ernst Niebur;Rüdiger von der Heydt

  • High-frequency gamma activity (80-150 Hz) is increased in human cortex during selective attention

    Supratim Ray;Ernst Niebur;Steven S. Hsiao;Alon Sinai

  • Lateral interactions in primary visual cortex: a model bridging physiology and psychophysics

    Martin Stemmler;Marius Usher;Marius Usher;Marius Usher;Ernst Niebur

  • An oscillation-based model for the neuronal basis of attention

    Ernst Niebur;Christof Koch;Christopher Rosin

  • Criticality in neural systems

    Dietmar Plenz;Ernst Niebur

  • Synchrony: a neuronal mechanism for attentional selection?

    Ernst Niebur;Steven S Hsiao;Kenneth O Johnson

  • Self-organized criticality occurs in non-conservative neuronal networks during /`up/' states

    Daniel Millman;Stefan Mihalas;Alfredo Kirkwood;Ernst Niebur

  • Control of Selective Visual Attention: Modeling the "Where" Pathway

    Ernst Niebur;Christof Koch

  • A model for the neuronal implementation of selective visual attention based on temporal correlation among neurons

    Ernst Niebur;Christof Koch

  • A Model for Neuronal Competition During Development

    Christopher D. Deppmann;Stefan Mihalas;Nikhil Sharma;Bonnie E. Lonze

  • A generalized linear integrate-and-fire neural model produces diverse spiking behaviors

    Ştefan Mihalaş;Ernst Niebur

  • Texture contrast attracts overt visual attention in natural scenes.

    Derrick J. Parkhurst;Ernst Niebur

  • Modeling the temporal dynamics of it neurons in visual search: A mechanism for top-down selective attention

    Marius Usher;Ernst Niebur

  • Effect of Stimulus Intensity on the Spike–Local Field Potential Relationship in the Secondary Somatosensory Cortex

    Supratim Ray;Steven S. Hsiao;Nathan E. Crone;Piotr J. Franaszczuk

  • Everyone knows what is interesting: salient locations which should be fixated.

    Christopher Michael Masciocchi;Stefan Mihalas;Derrick Parkhurst;Ernst Niebur

  • A model of proto-object based saliency.

    Alexander F. Russell;Stefan Mihalaş;Rudiger von der Heydt;Ernst Niebur

  • Synchrony and the binding problem in macaque visual cortex.

    Yi Dong;Stefan Mihalas;Fangtu Qiu;Rüdiger von der Heydt

  • Theory of the locomotion of nematodes: control of the somatic motor neurons by interneurons.

    Ernst Niebur;Paul Erdős

  • Variable-resolution displays: a theoretical, practical, and behavioral evaluation.

    Derrick J. Parkhurst;Ernst Niebur

  • Mechanisms of perceptual organization provide auto-zoom and auto-localization for attention to objects

    Stefan Mihalas;Yi Dong;Rüdiger von der Heydt;Ernst Niebur

  • Dynamics of Populations of Integrate-and-Fire Neurons, Partial Synchronization and Memory

    Marius Usher;Heinz Georg Schuster;Ernst Niebur

  • A model for neuronal competition during development

    C.D. Deppmann;S. Mihalas;N. Sharma;B.E. Lonze

Frequent Co-Authors

Stefan Mihalas
Stefan Mihalas Allen Institute for Brain Science
Ralph Etienne-Cummings
Ralph Etienne-Cummings Johns Hopkins University
Christof Koch
Christof Koch Allen Institute for Brain Science
Marius Usher
Marius Usher Tel Aviv University
Florentin Wörgötter
Florentin Wörgötter University of Göttingen
Steven S. Hsiao
Steven S. Hsiao Johns Hopkins University
Kenneth O. Johnson
Kenneth O. Johnson Johns Hopkins University
Daniel M. Kammen
Daniel M. Kammen University of California, Berkeley
Nathan E. Crone
Nathan E. Crone Johns Hopkins University
Howard E. Egeth
Howard E. Egeth Johns Hopkins University

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