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Vikas Sindhwani

D-Index & Metrics

Discipline name D-Index World Ranking Current World Ranking National Ranking Current National Ranking Publications Citations
Computer Science 51 5237 5090 2411 2328 171 14874

Vikas Sindhwani publications per year

The chart shows the history of publications by Vikas Sindhwani between 2001 and 2025, highlighting the no. of papers published in each year and offering an overview of the publication velocity of this scholar. Vikas Sindhwani published across 25 years, from 2001 to 2025, averaging 7.5 papers a year. Output peaked at 40 publications in 2010. 18 of the 187 publications appeared in the last two years.

No. of publications
10 20 30 40
Bar chart. Horizontal axis: year, 2001 to 2025. Vertical axis: number of publications, 0 to 40. Peak 40 publications in 2010. 2001: 1 publication 2002: 0 publications 2003: 0 publications 2004: 1 publication 2005: 3 publications 2006: 8 publications 2007: 2 publications 2008: 4 publications 2009: 12 publications 2010: 40 publications 2011: 10 publications 2012: 9 publications 2013: 7 publications 2014: 6 publications 2015: 2 publications 2016: 5 publications 2017: 6 publications 2018: 8 publications 2019: 6 publications 2020: 12 publications 2021: 9 publications 2022: 10 publications 2023: 8 publications 2024: 10 publications 2025: 8 publications
2001 2025

187 publications in total across all disciplines

View publications per year as a table
Vikas Sindhwani: publications per year, 2001 to 2025
Year Publications
2001 1
2002 0
2003 0
2004 1
2005 3
2006 8
2007 2
2008 4
2009 12
2010 40
2011 10
2012 9
2013 7
2014 6
2015 2
2016 5
2017 6
2018 8
2019 6
2020 12
2021 9
2022 10
2023 8
2024 10
2025 8
Total 187
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Vikas Sindhwani 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 Sindhwani 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, 162–171 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: 171 publications — 35th percentile

35% 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
162–171 534 171
172–181 556
182–191 583
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 Sindhwani 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 Sindhwani 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, 50–51 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: 51 D-Index — 63rd percentile

63% 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
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 51
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 Sindhwani is a researcher affiliated with Google in the United States. Their work focuses on fields spanning Computer Science and Engineering, with significant contributions to Control and Systems Engineering, Computer Vision and Pattern Recognition, and Artificial Intelligence. Additional expertise includes Biomedical Engineering and Aerospace Engineering.

The scientist's research topics cover several key areas within robotics and machine learning, including:

  • Robotic Path Planning Algorithms
  • Reinforcement Learning in Robotics
  • Robot Manipulation and Learning
  • Fault Detection and Control Systems
  • Multimodal Machine Learning Applications
  • Model Reduction and Neural Networks
  • Human Pose and Action Recognition

Vikas Sindhwani has contributed extensively to academic publications, with a large number of works appearing in prominent venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2022 International Conference on Robotics and Automation (ICRA)
  • The International Journal of Robotics Research
  • Foundations of Computational Mathematics

Some recent papers authored or coauthored by Sindhwani are:

  • "Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language" (2022, arXiv (Cornell University))
  • "Transporter Networks: Rearranging the Visual World for Robotic Manipulation" (2020, arXiv (Cornell University))
  • "Learning Stability Certificates from Data" (2020, arXiv (Cornell University))
  • "Trajectory Optimization with Optimization-Based Dynamics" (2022, IEEE Robotics and Automation Letters)

Collaboration is also a significant aspect of Sindhwani's research, with frequent coauthors including:

  • Krzysztof Choromański
  • Deepali Jain
  • Pete Florence
  • Sumeet Singh

Best Publications

  • Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples

    Mikhail Belkin;Partha Niyogi;Vikas Sindhwani

  • Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets

    Tara N. Sainath;Brian Kingsbury;Vikas Sindhwani;Ebru Arisoy

  • Beyond the point cloud: from transductive to semi-supervised learning

    Vikas Sindhwani;Partha Niyogi;Mikhail Belkin

  • Optimization Techniques for Semi-Supervised Support Vector Machines

    Olivier Chapelle;Vikas Sindhwani;Sathiya S. Keerthi

  • A Co-Regularization Approach to Semi-supervised Learning with Multiple Views

    Vikas Sindhwani;Partha Niyogi;Mikhail Belkin

  • Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language

    Unknown

  • SystemML: Declarative machine learning on MapReduce

    Amol Ghoting;Rajasekar Krishnamurthy;Edwin Pednault;Berthold Reinwald

  • Data Quality from Crowdsourcing: A Study of Annotation Selection Criteria

    Pei-Yun Hsueh;Prem Melville;Vikas Sindhwani

  • On Manifold Regularization.

    Misha Belkin;Partha Niyogi;Vikas Sindhwani

  • Large scale semi-supervised linear SVMs

    Vikas Sindhwani;S. Sathiya Keerthi

  • An RKHS for multi-view learning and manifold co-regularization

    Vikas Sindhwani;David S. Rosenberg

  • Document-Word Co-regularization for Semi-supervised Sentiment Analysis

    V. Sindhwani;P. Melville

  • Structured transforms for small-footprint deep learning

    Vikas Sindhwani;Tara N. Sainath;Sanjiv Kumar

  • A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge

    Tao Li;Yi Zhang;Vikas Sindhwani

  • Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization

    Ankan Saha;Vikas Sindhwani

  • An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models

    S. S. Keerthi;Vikas Sindhwani;Olivier Chapelle

  • Branch and Bound for Semi-Supervised Support Vector Machines

    Olivier Chapelle;Vikas Sindhwani;S. S. Keerthi

  • Emerging topic detection using dictionary learning

    Shiva Prasad Kasiviswanathan;Prem Melville;Arindam Banerjee;Vikas Sindhwani

  • Fast Conical Hull Algorithms for Near-separable Non-negative Matrix Factorization

    Abhishek Kumar;Vikas Sindhwani;Prabhanjan Kambadur

  • Deterministic annealing for semi-supervised kernel machines

    Vikas Sindhwani;S. Sathiya Keerthi;Olivier Chapelle

  • Quasi-Monte Carlo feature maps for shift-invariant kernels

    Haim Avron;Vikas Sindhwani;Jiyan Yang;Michael W. Mahoney

Frequent Co-Authors

Jean-Jacques E. Slotine
Jean-Jacques E. Slotine MIT
Tara N. Sainath
Tara N. Sainath Google (United States)
Adrian Weller
Adrian Weller University of Cambridge
Partha Niyogi
Partha Niyogi University of Chicago
Jianying Hu
Jianying Hu IBM (United States)
Aleksandra Mojsilovic
Aleksandra Mojsilovic IBM (United States)
Marco Pavone
Marco Pavone Stanford University
Olivier Chapelle
Olivier Chapelle Google (United States)
Michael W. Mahoney
Michael W. Mahoney University of California, Berkeley
Berthold Reinwald
Berthold Reinwald IBM (United States)

External Links

Personal website of Vikas Sindhwani Google Scholar page

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Best Scientists Citing Vikas Sindhwani

Dacheng Tao

Dacheng Tao

Nanyang Technological University

Publications: 70

Feiping Nie

Feiping Nie

Northwestern Polytechnical University

Publications: 58

Changshui Zhang

Changshui Zhang

Tsinghua University

Publications: 52

Zhi-Hua Zhou

Zhi-Hua Zhou

Nanjing University

Publications: 49

Fadi Dornaika

Fadi Dornaika

Ikerbasque

Publications: 48

Ivor W. Tsang

Ivor W. Tsang

Agency for Science, Technology and Research

Publications: 40

Xiaofei He

Xiaofei He

Zhejiang University

Publications: 34

Deng Cai

Deng Cai

Zhejiang University

Publications: 33

Qiang Yang

Qiang Yang

Hong Kong University of Science and Technology

Publications: 32

Jiawei Han

Jiawei Han

University of Illinois at Urbana-Champaign

Publications: 32

Liang Zhao

Liang Zhao

Universidade de São Paulo

Publications: 31

Shiliang Sun

Shiliang Sun

East China Normal University

Publications: 31

Johan A. K. Suykens

Johan A. K. Suykens

KU Leuven

Publications: 30

Lorenzo Rosasco

Lorenzo Rosasco

MIT

Publications: 30

Songcan Chen

Songcan Chen

Nanjing University of Aeronautics and Astronautics

Publications: 30

Dit-Yan Yeung

Dit-Yan Yeung

Hong Kong University of Science and Technology

Publications: 29

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