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D-Index & Metrics

Computer Science

D-Index
42
Citations
18232
World Ranking
8143
National Ranking
3488

Rupak Biswas 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 Rupak Biswas 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: 182 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Rupak Biswas 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 Rupak Biswas 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Rupak Biswas is a researcher affiliated with the Ames Research Center in the United States. Their academic contributions span key areas within computer science, with a particular focus on artificial intelligence and hardware and architecture. This scope reflects in the topics and subfields in which they have published.

The primary fields of study associated with their work include:

  • Computer Science

More specifically, their research covers subfields such as:

  • Artificial Intelligence
  • Hardware and Architecture

The main topics Rupak Biswas has worked on are:

  • Quantum Computing Algorithms and Architecture
  • Quantum Information and Cryptography
  • Parallel Computing and Optimization Techniques

Among their scholarly outputs, one recent publication stands out:

  • Assessing and advancing the potential of quantum computing: A NASA case study (2024), published in Future Generation Computer Systems

This paper has been cited by other researchers, indicating engagement with the scientific community in their topic area.

Rupak Biswas has collaborated with several frequent co-authors, which reflects the interdisciplinary and collaborative nature of their work. The notable co-authors include:

  • Eleanor Rieffel
  • Ata Akbari Asanjan
  • M. Sohaib Alam
  • Namit Anand
  • David E. Bernal Neira

Their publications have appeared in specialized venues, with Future Generation Computer Systems being a significant outlet for their research.

Best Publications

  • Quantum supremacy using a programmable superconducting processor

    Frank Arute;Kunal Arya;Ryan Babbush;Dave Bacon

  • Supplementary information for "Quantum supremacy using a programmable superconducting processor"

    Frank Arute;Kunal Arya;Ryan Babbush;Dave Bacon

  • From the Quantum Approximate Optimization Algorithm to a Quantum Alternating Operator Ansatz

    Stuart Hadfield;Zhihui Wang;Bryan O'Gorman;Eleanor Gilbert Rieffel

  • Parallel, adaptive finite element methods for conservation laws

    Rupak Biswas;Karen D. Devine;Joseph E. Flaherty

  • High performance computing using MPI and OpenMP on multi-core parallel systems

    Haoqiang Jin;Dennis Jespersen;Piyush Mehrotra;Rupak Biswas

  • Opportunities and challenges for quantum-assisted machine learning in near-term quantum computers

    Alejandro Perdomo-Ortiz;Marcello Benedetti;John Realpe-Gómez;John Realpe-Gómez;Rupak Biswas

  • Estimation of effective temperatures in quantum annealers for sampling applications: A case study with possible applications in deep learning

    Marcello Benedetti;John Realpe-Gómez;Rupak Biswas;Alejandro Perdomo-Ortiz

  • Establishing the quantum supremacy frontier with a 281 Pflop/s simulation

    Benjamin Villalonga;Benjamin Villalonga;Benjamin Villalonga;Dmitry I. Lyakh;Sergio Boixo;Hartmut Neven

  • Quantum-Assisted Learning of Hardware-Embedded Probabilistic Graphical Models

    Marcello Benedetti;Marcello Benedetti;John Realpe-Gómez;John Realpe-Gómez;Rupak Biswas;Alejandro Perdomo-Ortiz

  • Tetrahedral and hexahedral mesh adaptation for CFD problems

    Rupak Biswas;Roger C. Strawn

  • PLUM: parallel load balancing for adaptive unstructured meshes

    Leonid Oliker;Rupak Biswas

  • A de-centralized scheduling and load balancing algorithm for heterogeneous grid environments

    M. Arora;S.K. Das;R. Biswas

  • A flexible high-performance simulator for verifying and benchmarking quantum circuits implemented on real hardware

    Benjamin Villalonga;Benjamin Villalonga;Benjamin Villalonga;Sergio Boixo;Bron Nelson;Christopher Henze

  • Job Superscheduler Architecture and Performance in Computational Grid Environments

    Hongzhang Shan;Leonid Oliker;Rupak Biswas

  • Performance evaluation of Amazon EC2 for NASA HPC applications

    Piyush Mehrotra;Jahed Djomehri;Steve Heistand;Robert Hood

  • A new procedure for dynamic adaption of three-dimensional unstructured grids

    Rupak Biswas;Roger C. Strawn

  • Quantum Annealing Applied to De-Conflicting Optimal Trajectories for Air Traffic Management

    Tobias Stollenwerk;Bryan OGorman;Davide Venturelli;Salvatore Mandra

  • Load balancing across near-homogeneous multi-resource servers

    W. Leinberger;G. Karypis;V. Kumar;R. Biswas

  • A NASA perspective on quantum computing

    Rupak Biswas;Zhang Jiang;Kostya Kechezhi;Sergey Knysh

  • A Divide-and-Conquer/Cellular-Decomposition Framework for Million-to-Billion Atom Simulations of Chemical Reactions

    Aiichiro Nakano;Rajiv K. Kalia;Ken ichi Nomura;Ashish Sharma

  • Parallel processing of adaptive meshes with load balancing

    S.K. Das;D.J. Harvey;R. Biswas

Frequent Co-Authors

Leonid Oliker
Leonid Oliker Lawrence Berkeley National Laboratory
Sajal K. Das
Sajal K. Das Missouri University of Science and Technology
Eleanor Rieffel
Eleanor Rieffel Ames Research Center
Hartmut Neven
Hartmut Neven Google (United States)
Guang R. Gao
Guang R. Gao University of Delaware
Joseph E. Flaherty
Joseph E. Flaherty Rensselaer Polytechnic Institute
John Shalf
John Shalf Lawrence Berkeley National Laboratory
Michael J. Aftosmis
Michael J. Aftosmis Ames Research Center
Xiaoye S. Li
Xiaoye S. Li Lawrence Berkeley National Laboratory
John M. Martinis
John M. Martinis University of California, Santa Barbara

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