World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
46
Citations
6862
World Ranking
6939
National Ranking
3034

Atanas Rountev 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 Atanas Rountev 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: 128 publications — 18th percentile

18% of scientists in this discipline score the same or lower.

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

Atanas Rountev 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 Atanas Rountev 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: 46 D-Index — 53rd percentile

53% of scientists in this discipline score the same or lower.

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

Overview

Atanas Rountev is affiliated with The Ohio State University in the United States and has an academic focus primarily in the field of Computer Science. Their research contributions span several subfields, including Artificial Intelligence, Computational Mathematics, Hardware and Architecture, Computer Networks and Communications, and Sociology and Political Science.

Their work addresses multiple research topics such as:

  • Privacy-Preserving Technologies in Data
  • Tensor decomposition and applications
  • Parallel Computing and Optimization Techniques
  • Algorithms and Data Compression
  • Software System Performance and Reliability
  • Internet Traffic Analysis and Secure E-voting
  • Privacy, Security, and Data Protection

Atanas Rountev has collaborated frequently with several researchers, including Yu Hao, Sufian Latif, Hailong Zhang, Raef Bassily, and Saurabh Raje. These coauthors appear recurrently across various publications, reflecting collaborative research efforts mostly in privacy and software trace analysis.

The scientist has published in venues such as:

  • Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • ACM Transactions on Architecture and Code Optimization
  • Proceedings of the ACM on Programming Languages
  • arXiv (Cornell University)

Among recent papers are:

  • "CoNST: Code Generator for Sparse Tensor Networks," 2024, ACM Transactions on Architecture and Code Optimization
  • "Differential Privacy for Coverage Analysis of Software Traces," 2021, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "Differentially-private software frequency profiling under linear constraints," 2020, Proceedings of the ACM on Programming Languages
  • "Differential Privacy for Coverage Analysis of Software Traces (Artifact)," 2021, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • "CoNST: Code Generator for Sparse Tensor Networks," 2024, arXiv (Cornell University)

Best Publications

  • Parameterized object sensitivity for points-to analysis for Java

    Ana Milanova;Atanas Rountev;Barbara G. Ryder

  • Automatic transformations for communication-minimized parallelization and locality optimization in the polyhedral model

    Uday Bondhugula;Muthu Baskaran;Sriram Krishnamoorthy;J. Ramanujam

  • A compiler framework for optimization of affine loop nests for gpgpus

    Muthu Manikandan Baskaran;Uday Bondhugula;Sriram Krishnamoorthy;J. Ramanujam

  • Effective automatic parallelization of stencil computations

    Sriram Krishnamoorthy;Muthu Baskaran;Uday Bondhugula;J. Ramanujam

  • Points-to analysis for Java using annotated constraints

    Atanas Rountev;Ana Milanova;Barbara G. Ryder

  • Parameterized object sensitivity for points-to and side-effect analyses for Java

    Ana Milanova;Atanas Rountev;Barbara G. Ryder

  • Static control-flow analysis of user-driven callbacks in Android applications

    Shengqian Yang;Dacong Yan;Haowei Wu;Yan Wang

  • Precise memory leak detection for java software using container profiling

    Guoqing Xu;Atanas Rountev

  • Automatic data movement and computation mapping for multi-level parallel architectures with explicitly managed memories

    Muthu Manikandan Baskaran;Uday Bondhugula;Sriram Krishnamoorthy;J. Ramanujam

  • Off-line variable substitution for scaling points-to analysis

    Atanas Rountev;Satish Chandra

  • Finding low-utility data structures

    Guoqing Xu;Nick Mitchell;Matthew Arnold;Atanas Rountev

  • Static window transition graphs for Android

    Unknown

  • Go with the flow: profiling copies to find runtime bloat

    Guoqing Xu;Matthew Arnold;Nick Mitchell;Atanas Rountev

  • Static Window Transition Graphs for Android (T)

    Shengqian Yang;Hailong Zhang;Haowei Wu;Yan Wang

  • Fragment class analysis for testing of polymorphism in Java software

    A. Rountev;A. Milanova;B.G. Ryder

  • Testing for poor responsiveness in android applications

    Shengqian Yang;Dacong Yan;Atanas Rountev

  • Detecting inefficiently-used containers to avoid bloat

    Guoqing Xu;Atanas Rountev

  • Software bloat analysis: finding, removing, and preventing performance problems in modern large-scale object-oriented applications

    Guoqing Xu;Nick Mitchell;Matthew Arnold;Atanas Rountev

  • Demand-driven context-sensitive alias analysis for Java

    Dacong Yan;Guoqing Xu;Atanas Rountev

  • Precise identification of side-effect-free methods in Java

    A. Rountev

  • Regression Test Selection for AspectJ Software

    Guoqing Xu;Atanas Rountev

Frequent Co-Authors

P. Sadayappan
P. Sadayappan University of Utah
Guoqing Xu
Guoqing Xu University of California, Los Angeles
J. Ramanujam
J. Ramanujam Louisiana State University
Louis-Noël Pouchet
Louis-Noël Pouchet Colorado State University
Barbara G. Ryder
Barbara G. Ryder Virginia Tech
Sriram Krishnamoorthy
Sriram Krishnamoorthy University of California, Santa Barbara
Ümit V. Çatalyürek
Ümit V. Çatalyürek Georgia Institute of Technology
Ben Liblit
Ben Liblit University of Wisconsin–Madison
Satish Chandra
Satish Chandra Association for Computing Machinery
Srinivasan Parthasarathy
Srinivasan Parthasarathy The Ohio State University

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