World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
61
Citations
16222
World Ranking
3049
National Ranking
1492

Gautam Das 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 Gautam Das 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: 238 publications — 59th percentile

59% of scientists in this discipline score the same or lower.

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

Gautam Das 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 Gautam Das 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: 61 D-Index — 79th percentile

79% of scientists in this discipline score the same or lower.

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

Overview

Gautam Das is affiliated with The University of Texas at Arlington in the United States. Their research spans multiple disciplines with a primary focus on Computer Science and Medicine. Within these areas, their work has touched on various subfields including Artificial Intelligence, Signal Processing, Information Systems, Computational Theory and Mathematics, and Computer Networks and Communications.

The scientist's work centers on key topics such as Data Management and Algorithms, Data Quality and Management, Obstructive Sleep Apnea Research, Neuroscience of respiration and sleep, Machine Learning and Algorithms, Web Data Mining and Analysis, and Rough Sets and Fuzzy Logic.

Frequent collaborators include Abolfazl Asudeh, Suraj Shetiya, Saravanan Thirumuruganathan, Azade Nazi, and Nick Koudas, reflecting sustained research partnerships in their publications.

The venues in which Gautam Das has published repeatedly are diverse, demonstrating engagement with both contemporary conferences and journals. Regular publication venues include:

  • arXiv (Cornell University)
  • IEEE Consumer Electronics Magazine
  • Proceedings of the VLDB Endowment
  • 2022 IEEE 38th International Conference on Data Engineering (ICDE)
  • Proceedings of the International AAAI Conference on Web and Social Media

Notable recent papers authored or co-authored by Gautam Das include:

  • "EasyBand: A Wearable for Safety-Aware Mobility During Pandemic Outbreak" (2020), IEEE Consumer Electronics Magazine
  • "Combining SARS-CoV-2 Proofreading Exonuclease and RNA-Dependent RNA Polymerase Inhibitors as a Strategy to Combat COVID-19: A High-Throughput in silico Screening" (2021), Frontiers in Microbiology
  • "Characterization of nanocellulose production by strains of Komagataeibacter sp. isolated from organic waste and Kombucha" (2021), Carbohydrate Polymers
  • "When Do We Need the Blockchain?" (2020), IEEE Consumer Electronics Magazine
  • "Astrid" (2020), Proceedings of the VLDB Endowment

In addition to articles, Gautam Das has a contribution to book literature, publishing with Springer Nature the book titled "Intelligence Enabled Research" in 2022.

Best Publications

  • DBXplorer: enabling keyword search over relational databases

    Sanjay Agrawal;Surajit Chaudhuri;Gautam Das

  • DBXplorer: a system for keyword-based search over relational databases

    S. Agrawal;S. Chaudhuri;G. Das

  • Rule discovery from time series

    Gautam Das;King-Ip Lin;Heikki Mannila;Gopal Renganathan

  • On sparse spanners of weighted graphs

    Ingo Althöfer;Gautam Das;David Dobkin;Deborah Joseph

  • Group recommendation: semantics and efficiency

    Sihem Amer-Yahia;Senjuti Basu Roy;Ashish Chawlat;Gautam Das

  • Finding Similar Time Series

    Gautam Das;Dimitrios Gunopulos;Heikki Mannila

  • Everything You Wanted to Know About the Blockchain: Its Promise, Components, Processes, and Problems

    Deepak Puthal;Nisha Malik;Saraju P. Mohanty;Elias Kougianos

  • The Discrete Basis Problem

    P. Miettinen;T. Mielikainen;A. Gionis;G. Das

  • NEW SPARSENESS RESULTS ON GRAPH SPANNERS

    Barun Chandra;Gautam Das;Giri Narasimhan;Jose Soares

  • Dynamic sample selection for approximate query processing

    Brian Babcock;Surajit Chaudhuri;Gautam Das

  • Automated Ranking of Database Query Results

    Sanjay Agrawal;Surajit Chaudhuri;Gautam Das;Aristides Gionis

  • Optimized stratified sampling for approximate query processing

    Surajit Chaudhuri;Gautam Das;Vivek Narasayya

  • Planar Spanners and Approximate Shortest Path Queries among Obstacles in the Plane

    Srinivasa Rao Arikati;Danny Z. Chen;L. Paul Chew;Gautam Das

  • Euclidean spanners: short, thin, and lanky

    Sunil Arya;Gautam Das;David M. Mount;Jeffrey S. Salowe

  • Answering top-k queries using views

    Gautam Das;Dimitrios Gunopulos;Nick Koudas;Dimitris Tsirogiannis

  • Mining Time Series Data

    Chotirat Ann Ratanamahatana;Jessica Lin;Dimitrios Gunopulos;Eamonn J. Keogh

  • Overcoming limitations of sampling for aggregation queries

    S. Chaudhuri;G. Das;M. Datar;R. Motwani

  • A fast algorithm for constructing sparse euclidean spanners

    Gautam Das;Giri Narasimhan

  • The Move-Split-Merge Metric for Time Series

    Alexandra Stefan;Vassilis Athitsos;Gautam Das

  • Time-series similarity problems and well-separated geometric sets

    Béla Bollobás;Gautam Das;Dimitrios Gunopulos;Heikki Mannila

  • Probabilistic ranking of database query results

    Surajit Chaudhuri;Gautam Das;Vagelis Hristidis;Gerhard Weikum

Frequent Co-Authors

Nick Koudas
Nick Koudas University of Toronto
Sihem Amer-Yahia
Sihem Amer-Yahia Grenoble Alpes University
Surajit Chaudhuri
Surajit Chaudhuri Microsoft (United States)
Dimitrios Gunopulos
Dimitrios Gunopulos National and Kapodistrian University of Athens
Vagelis Hristidis
Vagelis Hristidis University of California, Riverside
Heikki Mannila
Heikki Mannila Aalto University
Cong Yu
Cong Yu Google (United States)
Michiel Smid
Michiel Smid Carleton University
Gerhard Weikum
Gerhard Weikum Max Planck Institute for Informatics
Aristides Gionis
Aristides Gionis Royal Institute of Technology

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