World's Best Scientists 2026 revealed!
Jayant R. Kalagnanam

Jayant R. Kalagnanam

D-Index & Metrics

Computer Science

D-Index
39
Citations
14142
World Ranking
9497
National Ranking
4024

Jayant R. Kalagnanam 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 Jayant R. Kalagnanam 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: 156 publications — 29th percentile

29% of scientists in this discipline score the same or lower.

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

Jayant R. Kalagnanam 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 Jayant R. Kalagnanam 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: 39 D-Index — 33rd percentile

33% of scientists in this discipline score the same or lower.

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

Overview

Jayant R. Kalagnanam is affiliated with IBM in the United States and has contributed extensively to research in computer science. Their work spans several specialized subfields including artificial intelligence, signal processing, management science and operations research, computer networks and communications, and control and systems engineering.

The scientist's research covers a number of key topics such as time series analysis and forecasting, anomaly detection techniques and applications, data stream mining techniques, neural networks and applications, machine learning and data classification, Gaussian processes and Bayesian inference, and fault detection and control systems.

Their publication record includes work in notable venues with multiple contributions to arXiv (Cornell University), where eleven papers have been published. Other significant publication venues include the Proceedings of the AAAI Conference on Artificial Intelligence (five publications), the 2021 IEEE International Conference on Big Data (two publications), the Journal of Global Optimization, and Computational Optimization and Applications.

Selected recent papers authored or coauthored by Jayant R. Kalagnanam include:

  • A Time Series is Worth 64 Words: Long-term Forecasting with Transformers, 2022, arXiv (Cornell University)
  • Optimal decision trees for categorical data via integer programming, 2021, Journal of Global Optimization
  • Finite-sum smooth optimization with SARAH, 2022, Computational Optimization and Applications
  • A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees, 2020, arXiv (Cornell University)

The scientist has collaborated frequently with several researchers, including Dzung T. Phan, Lam M. Nguyen, Vijay Ekambaram, Dhaval Patel, and Kyongmin Yeo. These collaborations reflect ongoing partnerships resulting in multiple joint publications.

Best Publications

  • QoS-aware middleware for Web services composition

    Liangzhao Zeng;B. Benatallah;A.H.H. Ngu;M. Dumas

  • Foundations for smarter cities

    C. Harrison;B. Eckman;R. Hamilton;P. Hartswick

  • Quality driven web services composition

    Liangzhao Zeng;Boualem Benatallah;Marlon Dumas;Jayant Kalagnanam

  • An efficient sampling technique for off-line quality control

    Jayant R. Kalagnanam;Urmila M. Diwekar

  • Achieving budget-balance with Vickrey-based payment schemes in exchanges

    David C. Parkes;Jayant Kalagnanam;Marta Eso

  • Efficient sampling technique for optimization under uncertainty

    Urmila M. Diwekar;Jayant R. Kalagnanam

  • Configurable offers and winner determination in multi-attribute auctions

    Martin Bichler;Jayant Kalagnanam

  • Improved bounds for computing Kemeny rankings

    Vincent Conitzer;Andrew Davenport;Jayant Kalagnanam

  • Approximation Algorithms for the Multiple Knapsack Problem with Assignment Restrictions

    M. Dawande;J. Kalagnanam;P. Keskinocak;F.S. Salman

  • System and method for using virtual wish lists for assisting shopping over computer networks

    Juhnyoung Lee;Jayant R. Kalagnanam;Andrew J. Davenport;Ho Soo Lee

  • TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting

    Unknown

  • Applications of flexible pricing in business-to-business electronic commerce

    M. Bichler;J. Kalagnanam;K. Katircioglu;A. J. King

  • Auctions, Bidding and Exchange Design

    Jayant Kalagnanam;David C. Parkes

  • Electronic shopping assistant and method of use

    Jayant R. Kalagnanam;Ying Tat Leung;Andrew J. Davenport;Juhnyoung Lee

  • A computational study of the Kemeny rule for preference aggregation

    Andrew Davenport;Jayant Kalagnanam

  • Some Efficient Optimization Methods for Solving the Security-Constrained Optimal Power Flow Problem

    Dzung Phan;Jayant Kalagnanam

  • Phase identification in smart grids

    V. Arya;D. Seetharam;S. Kalyanaraman;K. Dontas

  • The Surplus Inventory Matching Problem in the Process Industry

    Jayant R. Kalagnanam;Milind W. Dawande;Mark Trumbo;Ho Soo Lee

  • Industrial Procurement Auctions

    M. Bichler;J. Kalagnanam

  • Computational Aspects of Clearing Continuous Call Double Auctions with Assignment Constraints and Indivisible Demand

    Jayant R. Kalagnanam;Andrew J. Davenport;Ho S. Lee

  • A comparison of decision alaysis and expert rules for sequential diagnosis

    Jayant Kalagnanam;Max Henrion

Frequent Co-Authors

Martin Bichler
Martin Bichler Technical University of Munich
Milind Dawande
Milind Dawande The University of Texas at Dallas
Juhnyoung Lee
Juhnyoung Lee Seegene Inc.
Urmila M. Diwekar
Urmila M. Diwekar University of Illinois at Chicago
David C. Parkes
David C. Parkes Harvard University
Katya Scheinberg
Katya Scheinberg Cornell University
Marten van Dijk
Marten van Dijk University of Connecticut
Arun Hampapur
Arun Hampapur Bloom Value
Shivkumar Kalyanaraman
Shivkumar Kalyanaraman Microsoft (India)

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