World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
77
Citations
28610
World Ranking
1250
National Ranking
665

Electronics and Electrical Engineering

D-Index
59
Citations
12609
World Ranking
1769
National Ranking
707

Tulay Adali 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 Tulay Adali 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 620 publications — 97th percentile

97% of scientists in this discipline score the same or lower.

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

Tulay Adali 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 Tulay Adali sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 77 D-Index — 91st percentile

91% 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

  • 2009 - IEEE Fellow For contributions to nonlinear and complex-valued statistical signal processing
  • 2008 - Fellow of the Indian National Academy of Engineering (INAE)

Overview

Tulay Adali is a researcher affiliated with the University of Maryland, Baltimore County in the United States. Their work spans multiple areas within neuroscience and signal processing, focusing primarily on cognitive neuroscience and advanced neuroimaging techniques. Their publication record includes significant contributions to understanding neural dynamics, functional brain connectivity, and the application of tensor decomposition methods to brain data analysis.

The scientist has authored papers in various peer-reviewed journals and conference venues. Some recent publications include:

  • Space: A Missing Piece of the Dynamic Puzzle, 2020, Trends in Cognitive Sciences
  • Identifying canonical and replicable multi-scale intrinsic connectivity networks in 100k+ resting-state fMRI datasets, 2023, Human Brain Mapping
  • Reproducibility in Matrix and Tensor Decompositions: Focus on model match, interpretability, and uniqueness, 2022, IEEE Signal Processing Magazine
  • Independent vector analysis for common subspace analysis: Application to multi-subject fMRI data yields meaningful subgroups of schizophrenia, 2020, NeuroImage
  • Reproducibility and replicability in neuroimaging data analysis, 2022, Current Opinion in Neurology

Their research covers a range of topics, including:

  • Functional Brain Connectivity Studies
  • Blind Source Separation Techniques
  • Neural dynamics and brain function
  • EEG and Brain-Computer Interfaces
  • Advanced Neuroimaging Techniques and Applications
  • Tensor decomposition and applications
  • Muscle activation and electromyography studies

Tulay Adali's primary fields of study are:

  • Neuroscience

The subfields they have contributed to include:

  • Cognitive Neuroscience
  • Signal Processing
  • Radiology, Nuclear Medicine and Imaging
  • Artificial Intelligence
  • Computational Mathematics

Frequent publication venues for their work are:

  • IEEE Signal Processing Magazine
  • IEEE Journal of Selected Topics in Signal Processing
  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Sensors

They have collaborated extensively with several coauthors, including:

  • Vince D. Calhoun
  • Ben Gabrielson
  • Athina P. Petropulu
  • M. A. B. S. Akhonda
  • Ahmed H. Tewfik

Tulay Adali has received recognition through awards such as:

  • IEEE Fellow in 2009 for contributions to nonlinear and complex-valued statistical signal processing
  • Fellow of the Indian National Academy of Engineering (INAE) in 2008

Best Publications

  • A method for making group inferences from functional MRI data using independent component analysis

    V.D. Calhoun;T. Adali;G.D. Pearlson;J.J. Pekar;J.J. Pekar

  • The Chronnectome: Time-Varying Connectivity Networks as the Next Frontier in fMRI Data Discovery

    Vince D. Calhoun;Vince D. Calhoun;Robyn Miller;Godfrey Pearlson;Tulay Adalı

  • A review of group ICA for fMRI data and ICA for joint inference of imaging, genetic, and ERP data.

    Vince D. Calhoun;Jingyu Liu;Jingyu Liu;Tülay Adalı

  • Multimodal Data Fusion: An Overview of Methods, Challenges, and Prospects

    Dana Lahat;Tulay Adali;Christian Jutten

  • Estimating the number of independent components for functional magnetic resonance imaging data.

    Yi Ou Li;Tülay Adali;Vince D. Calhoun

  • Spatial and temporal independent component analysis of functional MRI data containing a pair of task-related waveforms.

    V.D. Calhoun;T. Adali;G.D. Pearlson;J.J. Pekar;J.J. Pekar

  • Comparison of multi-subject ICA methods for analysis of fMRI data.

    Erik Barry Erhardt;Srinivas Rachakonda;Edward J. Bedrick;Elena A. Allen

  • Multisubject Independent Component Analysis of fMRI: A Decade of Intrinsic Networks, Default Mode, and Neurodiagnostic Discovery

    V. D. Calhoun;T. Adali

  • Complex-Valued Signal Processing: The Proper Way to Deal With Impropriety

    T. Adali;P. J. Schreier;L. L. Scharf

  • A review of multivariate methods for multimodal fusion of brain imaging data

    Jing Sui;Tülay Adali;Qingbao Yu;Jiayu Chen

  • Joint Blind Source Separation by Multiset Canonical Correlation Analysis

    Yi-Ou Li;T. Adali;Wei Wang;V.D. Calhoun

  • Unmixing fMRI with independent component analysis

    V.D. Calhoun;T. Adali

  • fMRI activation in a visual-perception task: network of areas detected using the general linear model and independent components analysis.

    Vince D. Calhoun;Tülay Adali;V. B. McGinty;James J. Pekar;James J. Pekar

  • Different activation dynamics in multiple neural systems during simulated driving.

    Vince D. Calhoun;James J. Pekar;James J. Pekar;Vince B. McGinty;Tulay Adali

  • Canonical Correlation Analysis for Data Fusion and Group Inferences

    Nicolle M Correa;Tülay Adali;Yi-Ou Li;Vince D Calhoun

  • Method for multimodal analysis of independent source differences in schizophrenia: combining gray matter structural and auditory oddball functional data.

    Vince D. Calhoun;T. Adali;N. R. Giuliani;J. J. Pekar;J. J. Pekar

  • Approximation by fully complex multilayer perceptrons

    Taehwan Kim;Tülay Adali

  • Discriminating schizophrenia and bipolar disorder by fusing fMRI and DTI in a multimodal CCA+ joint ICA model.

    Jing Sui;Godfrey D. Pearlson;Arvind Caprihan;Tülay Adali

  • A Complex Generalized Gaussian Distribution— Characterization, Generation, and Estimation

    M. Novey;T. Adali;A. Roy

  • Patterns of gray matter abnormalities in schizophrenia based on an international mega-analysis

    Unknown

  • ICA of functional MRI data: an overview.

    Vince D. Calhoun;Tülay Adali;Lars Kai Hansen;Jan Larsen

Frequent Co-Authors

Vince D. Calhoun
Vince D. Calhoun Georgia State University
Godfrey D. Pearlson
Godfrey D. Pearlson Yale University
James J. Pekar
James J. Pekar Kennedy Krieger Institute
Jing Sui
Jing Sui Beijing Normal University
Yue Wang
Yue Wang Zhejiang University
Curtis R. Menyuk
Curtis R. Menyuk University of Maryland, Baltimore County
Kent A. Kiehl
Kent A. Kiehl University of New Mexico
Tom Eichele
Tom Eichele Haukeland University Hospital
Jan Larsen
Jan Larsen Technical University of Denmark
Christian Jutten
Christian Jutten Grenoble Alpes University

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