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Vikas Singh

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 30 14062 13629 5578 5303 184 4123

Vikas Singh publications per year

The chart shows the history of publications by Vikas Singh between 2004 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Vikas Singh published across 22 years, from 2004 to 2025, averaging 11.5 papers a year. Output peaked at 25 publications in 2019. 29 of the 254 publications appeared in the last two years.

No. of publications
5 10 15 20 25
Bar chart. Horizontal axis: year, 2004 to 2025. Vertical axis: number of publications, 0 to 25. Peak 25 publications in 2019. 2004: 2 publications 2005: 5 publications 2006: 6 publications 2007: 4 publications 2008: 4 publications 2009: 8 publications 2010: 5 publications 2011: 7 publications 2012: 13 publications 2013: 8 publications 2014: 11 publications 2015: 20 publications 2016: 12 publications 2017: 22 publications 2018: 15 publications 2019: 25 publications 2020: 10 publications 2021: 23 publications 2022: 20 publications 2023: 5 publications 2024: 14 publications 2025: 15 publications
2004 2025

254 publications in total across all disciplines

View publications per year as a table
Vikas Singh: publications per year, 2004 to 2025
Year Publications
2004 2
2005 5
2006 6
2007 4
2008 4
2009 8
2010 5
2011 7
2012 13
2013 8
2014 11
2015 20
2016 12
2017 22
2018 15
2019 25
2020 10
2021 23
2022 20
2023 5
2024 14
2025 15
Total 254
Download as CSV

Vikas Singh 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 Vikas Singh sits on this spectrum.

No. of scientists
200 400 600
Bar chart with 97 bars. Horizontal axis: publications, 32–41 to 991+. Vertical axis: number of scientists, 0 to 609. Most scientists, 609, have 142–151 publications. The last bar groups every scientist with 991 publications or more. The highlighted bar, 182–191 publications, is where this scientist sits. 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
32–41 publications 991+

This scientist: 184 publications — 40th percentile

40% of scientists in this discipline score the same or lower.

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

View publications distribution as a table
Number of Computer Science scientists by publication count, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
Publications Scientists This scientist
32–41 7
42–51 22
52–61 82
62–71 134
72–81 249
82–91 324
92–101 421
102–111 420
112–121 497
122–131 544
132–141 555
142–151 609
152–161 559
162–171 534
172–181 556
182–191 583 184
192–201 519
202–211 508
212–221 490
222–231 437
232–241 423
242–251 408
252–261 377
262–271 301
272–281 335
282–291 320
292–301 293
302–311 250
312–321 238
322–331 206
332–341 209
342–351 208
352–361 162
362–371 176
372–381 127
382–391 158
392–401 128
402–411 104
412–421 94
422–431 99
432–441 83
442–451 108
452–461 73
462–471 77
472–481 69
482–491 84
492–501 62
502–511 54
512–521 57
522–531 51
532–541 51
542–551 32
552–561 38
562–571 28
572–581 43
582–591 33
592–601 41
602–611 32
612–621 28
622–631 25
632–641 27
642–651 17
652–661 20
662–671 17
672–681 15
682–691 14
692–701 21
702–711 13
712–721 12
722–731 19
732–741 14
742–751 12
752–761 10
762–771 10
772–781 11
782–791 10
792–801 11
802–811 8
812–821 8
822–831 7
832–841 11
842–851 10
852–861 5
862–871 9
872–881 4
882–891 6
892–901 3
902–911 6
912–921 3
922–931 2
932–941 2
942–951 2
952–961 3
962–971 3
972–981 3
982–990 5
991+ 100
Download as CSV

Vikas Singh 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 Vikas Singh sits on this spectrum.

No. of scientists
200 400 600 800
Bar chart with 52 bars. Horizontal axis: D-Index, 30–31 to 131+. Vertical axis: number of scientists, 0 to 990. Most scientists, 990, have 36–37 D-Index. The last bar groups every scientist with 131 D-Index or more. The highlighted bar, 30–31 D-Index, is where this scientist sits. 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
30–31 D-Index 131+

This scientist: 30 D-Index — 3rd percentile

3% of scientists in this discipline score the same or lower.

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

View D-Index distribution as a table
Number of Computer Science scientists by D-index, Research.com 2026 ranking edition. Based on 14,188 ranked scientists.
D-Index Scientists This scientist
30–31 879 30
32–33 983
34–35 918
36–37 990
38–39 968
40–41 907
42–43 821
44–45 763
46–47 689
48–49 543
50–51 543
52–53 518
54–55 500
56–57 458
58–59 400
60–61 337
62–63 308
64–65 292
66–67 249
68–69 213
70–71 192
72–73 189
74–75 165
76–77 139
78–79 119
80–81 121
82–83 113
84–85 88
86–87 87
88–89 75
90–91 69
92–93 57
94–95 46
96–97 38
98–99 34
100–101 36
102–103 27
104–105 37
106–107 18
108–109 31
110–111 19
112–113 16
114–115 12
116–117 20
118–119 15
120–121 5
122–123 20
124–125 8
126–127 5
128–129 7
130 3
131+ 98
Download as CSV

Overview

Vikas Singh is affiliated with the University of Wisconsin-Madison in the United States. Their scholarly work spans primarily the fields of Medicine and Computer Science, with a significant focus on Artificial Intelligence, Genetics, Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, and Surgery.

The scientist's research covers various specialized topics including:

  • Glioma Diagnosis and Treatment
  • Domain Adaptation and Few-Shot Learning
  • Adversarial Robustness in Machine Learning
  • Gaussian Processes and Bayesian Inference
  • Advanced Neuroimaging Techniques and Applications
  • Explainable Artificial Intelligence (XAI)
  • Anomaly Detection Techniques and Applications

Several of their recent publications include:

  • "Nyströmformer: A Nyström-based Algorithm for Approximating Self-Attention," 2021, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia," 2020, Computers and Electronics in Agriculture
  • "Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention," 2021, arXiv (Cornell University)
  • "On the Versatile Uses of Partial Distance Correlation in Deep Learning," 2022, Lecture notes in computer science
  • "Alzheimer's disease genetic risk and cognitive reserve in relationship to long-term cognitive trajectories among cognitively normal individuals," 2023, Alzheimer s Research & Therapy

Vikas Singh frequently collaborates with a group of coauthors, including Rudrasis Chakraborty, Sathya N. Ravi, Aliasgar Moiyadi, Prakash Shetty, and Sridhar Epari, with multiple joint publications across their research areas.

The scientist has also contributed to published books, including one titled Computing Algorithms with Applications in Engineering, released in 2020 by Springer Nature.

Their publication record is distributed across various venues with notable contributions to:

  • arXiv (Cornell University)
  • Journal of the American College of Cardiology
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Neurology India
  • PubMed

Best Publications

  • Predictive Markers for AD in a Multi-Modality Framework: An Analysis of MCI Progression in the ADNI Population

    Chris Hinrichs;Vikas Singh;Guofan Xu;Sterling C. Johnson

  • An efficient algorithm for Co-segmentation

    Dorit S. Hochbaum;Vikas Singh

  • Nyströmformer: A Nyström-Based Algorithm for Approximating Self-Attention

    Yunyang Xiong;Zhanpeng Zeng;Rudrasis Chakraborty;Mingxing Tan

  • Spatially augmented LPboosting for AD classification with evaluations on the ADNI dataset.

    Chris Hinrichs;Vikas Singh;Lopamudra Mukherjee;Guofan Xu

  • Half-integrality based algorithms for cosegmentation of images

    Lopamudra Mukherjee;Vikas Singh;Charles R Dyer

  • Gaze-enabled egocentric video summarization via constrained submodular maximization

    Jia Xu;Lopamudra Mukherjee;Yin Li;Jamieson Warner

  • Solving the multi-way matching problem by permutation synchronization

    Deepti Pachauri;Risi Kondor;Vikas Singh

  • Deep Learning image segmentation for extraction of fish body measurements and prediction of body weight and carcass traits in Nile tilapia

    Arthur F.A. Fernandes;Eduardo M. Turra;Érika R. de Alvarenga;Tiago L. Passafaro

  • Scale invariant cosegmentation for image groups

    Lopamudra Mukherjee;Vikas Singh;Jiming Peng

  • MobileDets: Searching for Object Detection Architectures for Mobile Accelerators

    Yunyang Xiong;Hanxiao Liu;Suyog Gupta;Berkin Akin

  • Controlling UAVs with sensor input spoofing attacks

    Drew Davidson;Hao Wu;Robert Jellinek;Thomas Ristenpart

  • Random walks based multi-image segmentation: Quasiconvexity results and GPU-based solutions

    Maxwell D. Collins;Jia Xu;Leo Grady;Vikas Singh

  • GOSUS: Grassmannian Online Subspace Updates with Structured-Sparsity

    Jia Xu;Vamsi K. Ithapu;Lopamudra Mukherjee;James M. Rehg

  • Topology-Based Kernels With Application to Inference Problems in Alzheimer's Disease

    D. Pachauri;C. Hinrichs;M. K. Chung;S. C. Johnson

  • Extracting and summarizing white matter hyperintensities using supervised segmentation methods in Alzheimer's disease risk and aging studies.

    Vamsi Ithapu;Vikas Singh;Christopher Lindner;Benjamin P. Austin

  • Mixed Effects Neural Networks (MeNets) With Applications to Gaze Estimation

    Yunyang Xiong;Hyunwoo J. Kim;Vikas Singh

  • MKL for Robust Multi-modality AD Classification

    Chris Hinrichs;Vikas Singh;Guofan Xu;Sterling Johnson

  • Characterizing Functional Connectivity Differences in Aging Adults using Machine Learning on Resting State fMRI Data

    Svyatoslav Vergun;Alok Deshpande;Timothy B. Meier;Jie Song

  • Ensemble clustering using semidefinite programming with applications

    Vikas Singh;Lopamudra Mukherjee;Jiming Peng;Jinhui Xu

  • Imaging-based enrichment criteria using deep learning algorithms for efficient clinical trials in mild cognitive impairment

    Vamsi K. Ithapu;Vikas Singh;Ozioma C. Okonkwo;Richard J. Chappell

  • Tensorize, Factorize and Regularize: Robust Visual Relationship Learning

    Seong Jae Hwang;Hyunwoo J. Kim;Sathya N. Ravi;Maxwell D. Collins

  • 3D texture analysis for classification of second harmonic generation images of human ovarian cancer

    Bruce Wen;Bruce Wen;Kirby R. Campbell;Karissa Tilbury;Oleg Nadiarnykh

  • Wavelet based multi-scale shape features on arbitrary surfaces for cortical thickness discrimination

    Won H. Kim;Deepti Pachauri;Charles Hatt;Moo. K. Chung

  • Multivariate General Linear Models (MGLM) on Riemannian Manifolds with Applications to Statistical Analysis of Diffusion Weighted Images

    Hyunwoo J. Kim;Barbara B. Bendlin;Nagesh Adluru;Maxwell D. Collins

  • Texture analysis applied to second harmonic generation image data for ovarian cancer classification

    Bruce L. Wen;Molly A. Brewer;Oleg Nadiarnykh;James D. Hocker

  • Multi-resolution statistical analysis of brain connectivity graphs in preclinical Alzheimer's disease

    Won Hwa Kim;Nagesh Adluru;Moo K. Chung;Ozioma C. Okonkwo

  • MobileDets: Searching for Object Detection Architectures for Mobile Accelerators

    Yunyang Xiong;Hanxiao Liu;Suyog Gupta;Berkin Akin

Frequent Co-Authors

Sterling C. Johnson
Sterling C. Johnson University of Wisconsin–Madison
Moo K. Chung
Moo K. Chung University of Wisconsin–Madison
Baba C. Vemuri
Baba C. Vemuri University of Florida
Glenn Fung
Glenn Fung American Family Insurance
Rebecca L. Koscik
Rebecca L. Koscik University of Wisconsin–Madison
Ozioma C. Okonkwo
Ozioma C. Okonkwo University of Wisconsin–Madison
Sanjay Asthana
Sanjay Asthana University of Wisconsin–Madison
Andrew L. Alexander
Andrew L. Alexander University of Wisconsin–Madison
Anil K. Jain
Anil K. Jain Michigan State University
Henrik Zetterberg
Henrik Zetterberg University of Gothenburg

External Links

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Related Online Degrees & Career Pathways

As you consider studying Computer Science in the USA, it’s worth exploring related online degrees and diverse career pathways. Many students worry about their academic history, but some of the best colleges for low gpa offer accessible entry points into computer science and related fields.

If you’re interested in finishing your degree quickly, an accelerated cs degree can help you fast-track your studies without sacrificing quality. Likewise, online programs in fields such as environmental engineering provide specialized STEM options, and you might find an online environmental engineering degree to be both affordable and convenient.

When weighing career options, remember that STEM pathways are flexible. You can leverage a computer science background for roles in tech, research, and even environmental fields—many options are similar to jobs for environmental science majors, which often combine technical and analytical skills.

Best Scientists Citing Vikas Singh

Dinggang Shen

Dinggang Shen

ShanghaiTech University

Publications: 83

Daoqiang Zhang

Daoqiang Zhang

Nanjing University of Aeronautics and Astronautics

Publications: 46

Moo K. Chung

Moo K. Chung

University of Wisconsin–Madison

Publications: 31

Andrew J. Saykin

Andrew J. Saykin

Indiana University

Publications: 20

Junchi Yan

Junchi Yan

Shanghai Jiao Tong University

Publications: 18

Daniel Rueckert

Daniel Rueckert

Technical University of Munich

Publications: 18

Hongliang Li

Hongliang Li

University of Electronic Science and Technology of China

Publications: 18

Fanman Meng

Fanman Meng

University of Electronic Science and Technology of China

Publications: 18

Kaj Blennow

Kaj Blennow

University of Gothenburg

Publications: 18

Qixing Huang

Qixing Huang

The University of Texas at Austin

Publications: 17

Thierry Bouwmans

Thierry Bouwmans

University of La Rochelle

Publications: 17

Mingxia Liu

Mingxia Liu

University of North Carolina at Chapel Hill

Publications: 17

Paul M. Thompson

Paul M. Thompson

University of Southern California

Publications: 17

Guo-Wei Wei

Guo-Wei Wei

Michigan State University

Publications: 17

John C. Morris

John C. Morris

Washington University in St. Louis

Publications: 15

Ismail Ben Ayed

Ismail Ben Ayed

École de Technologie Supérieure

Publications: 15

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