World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
7067
World Ranking
11095
National Ranking
122

P. S. Sastry publications per year

1977: 1 publications 1978: 0 publications 1979: 0 publications 1980: 0 publications 1981: 0 publications 1982: 0 publications 1983: 0 publications 1984: 1 publications 1985: 1 publications 1986: 2 publications 1987: 3 publications 1988: 2 publications 1989: 0 publications 1990: 2 publications 1991: 4 publications 1992: 1 publications 1993: 3 publications 1994: 6 publications 1995: 0 publications 1996: 2 publications 1997: 0 publications 1998: 1 publications 1999: 4 publications 2000: 2 publications 2001: 1 publications 2002: 4 publications 2003: 4 publications 2004: 6 publications 2005: 1 publications 2006: 5 publications 2007: 5 publications 2008: 3 publications 2009: 3 publications 2010: 4 publications 2011: 1 publications 2012: 3 publications 2013: 5 publications 2014: 0 publications 2015: 5 publications 2016: 4 publications 2017: 5 publications 2018: 1 publications 2019: 4 publications 2020: 2 publications 2021: 4 publications 2022: 0 publications 2023: 1 publications 2024: 3 publications
1977 2024

109 publications in total across all disciplines

P. S. Sastry 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 P. S. Sastry 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: 105 publications — 10th percentile

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

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

P. S. Sastry 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 P. S. Sastry 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: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

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

Overview

P. S. Sastry is affiliated with the Indian Institute of Science in India, contributing to the fields of Computer Science and Engineering. Their research encompasses subfields including Artificial Intelligence, Computer Vision and Pattern Recognition, Statistical and Nonlinear Physics, Control and Systems Engineering, and Signal Processing.

The scientist's work covers various main topics such as Machine Learning and Data Classification, Machine Learning and Algorithms, Adversarial Robustness in Machine Learning, Generative Adversarial Networks and Image Synthesis, Model Reduction and Neural Networks, Imbalanced Data Classification Techniques, and Music and Audio Processing.

Frequent coauthors collaborating with Sastry include Deep Patel, Vidyadhar Upadhya, Yiwei Chen, Qingquan Song, and Xi Liu.

Their recent papers include the following:

  • Adaptive Sample Selection for Robust Learning under Label Noise, 2023, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • On Robustness of Neural Architecture Search Under Label Noise, 2020, Frontiers in Big Data
  • Learning Gaussian-Bernoulli RBMs Using Difference of Convex Functions Optimization, 2021, IEEE Transactions on Neural Networks and Learning Systems
  • Adaptive Sample Selection for Robust Learning under Label Noise, 2021, arXiv (Cornell University)
  • Cyber-Physical Modeling and Vulnerability Assessment of Substations for Transmission System Operator, 2024, Electric Power Systems Research

The frequent publication venues for the scientist's work are:

  • arXiv (Cornell University)
  • 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Frontiers in Big Data
  • IEEE Transactions on Neural Networks and Learning Systems
  • Electric Power Systems Research

Best Publications

  • Robust Loss Functions under Label Noise for Deep Neural Networks

    Aritra Ghosh;Himanshu Kumar;P. S. Sastry

  • Varieties of learning automata: an overview

    M.A.L. Thathachar;P.S. Sastry

  • A survey of temporal data mining

    Srivatsan Laxman;PS Sastry

  • Networks of Learning Automata: Techniques for Online Stochastic Optimization

    M. A. L. Thathachar;P. S. Sastry

  • Memory neuron networks for identification and control of dynamical systems

    P.S. Sastry;G. Santharam;K.P. Unnikrishnan

  • Decentralized learning of Nash equilibria in multi-person stochastic games with incomplete information

    P.S. Sastry;V.V. Phansalkar;M.A.L. Thathachar

  • Noise Tolerance Under Risk Minimization

    N. Manwani;P. S. Sastry

  • A reinforcement learning approach to automatic generation control

    T.P Imthias Ahamed;P.S Nagendra Rao;P.S Sastry

  • Analysis of the back-propagation algorithm with momentum

    V.V. Phansalkar;P.S. Sastry

  • Making risk minimization tolerant to label noise

    Aritra Ghosh;Naresh Manwani;P.S. Sastry

  • Networks of Learning Automata

    M. A. L. Thathachar;P. S. Sastry

  • A new approach to the design of reinforcement schemes for learning automata

    M. A. L. Thathachar;P. S. Sastry

  • Discovering frequent episodes and learning hidden Markov models: a formal connection

    Srivatsan Laxman;P.S. Sastry;K.P. Unnikrishnan

  • A fast algorithm for finding frequent episodes in event streams

    Srivatsan Laxman;P. S. Sastry;K. P. Unnikrishnan

  • A font and size-independent OCR system for printed Kannada documents using support vector machines

    T. V. Ashwin;P. S. Sastry

  • A Class of Rapidly Converging Algorithms for Learning Automata

    Mal Thathachar;PS Sastry

  • Estimator Algorithms for Learning Automata

    Mal Thathachar;PS Sastry

  • Continuous action set learning automata for stochastic optimization

    G. Santharam;P.S. Sastry;M.A.L. Thathachar

  • Learning Optimal Discriminant Functions through a Cooperative Game of Automata

    Mandayam A. L. Thathachar;P. S. Sastry

  • Fingerprint classification using a feedback-based line detector

    S. Shah;P.S. Sastry

Frequent Co-Authors

Vivek S. Borkar
Vivek S. Borkar Indian Institute of Technology Bombay
Michael S. Branicky
Michael S. Branicky University of Kansas
Sankar K. Pal
Sankar K. Pal Indian Statistical Institute

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring Computer Science in the USA opens doors to a broad range of related online degrees and career options. Many students consider additional fields like physics or engineering to deepen their expertise and expand opportunities.

If you’re interested in exploring other technical disciplines, check out the best online physics degree programs for a strong foundation in analytical skills. For those drawn to emerging job markets, a data science degree can lead to high-paying positions in technology, finance, healthcare, and more.

Engineering is another popular pathway. Pursuing an online electrical engineering career outcomes provides insight into the versatile roles available in electronics, energy, and innovation.

Finally, for those seeking fast entry into the workforce, consider earning easy certifications that pay well. Certifications often require less time and can boost your resume with valuable, industry-recognized skills.

Best Scientists Citing P. S. Sastry

Trending Scientists

Recently Published Articles