World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
49
Citations
12134
World Ranking
5804
National Ranking
2639

Sebastian Elbaum 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 Sebastian Elbaum 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: 211 publications — 50th percentile

50% of scientists in this discipline score the same or lower.

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

Sebastian Elbaum 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 Sebastian Elbaum 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: 49 D-Index — 60th percentile

60% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2016 - ACM Distinguished Member

Overview

Sebastian Elbaum is affiliated with the University of Virginia in the United States and specializes in the field of Computer Science. Their work spans several subfields, including Artificial Intelligence, Software, Aerospace Engineering, Computer Vision and Pattern Recognition, and Information Systems.

The scientist's research focus covers topics such as Adversarial Robustness in Machine Learning, Software Testing and Debugging Techniques, Software Engineering Research, Software System Performance and Reliability, Autonomous Vehicle Technology and Safety, Robotics and Sensor-Based Localization, and Robotic Path Planning Algorithms.

Recent papers authored or coauthored by Sebastian Elbaum include:

  • Semantic image fuzzing of AI perception systems, 2022, Proceedings of the 44th International Conference on Software Engineering
  • DeepManeuver: Adversarial Test Generation for Trajectory Manipulation of Autonomous Vehicles, 2023, IEEE Transactions on Software Engineering
  • An Empirical Study on Type Annotations, 2021, ACM Transactions on Software Engineering and Methodology
  • Towards In-Flight Transfer of Payloads Between Multirotors, 2020, IEEE Robotics and Automation Letters
  • Characterizing User Responses to Failures in Aerial Autonomous Systems, 2020, IEEE Robotics and Automation Letters

Frequent coauthors in their research work include Matthew B. Dwyer, Trey Woodlief, David Shriver, Felipe Toledo, and Carrick Detweiler.

Sebastian Elbaum has published regularly in venues such as arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), IEEE Robotics and Automation Letters, IEEE Transactions on Software Engineering, and Proceedings of the ACM on Software Engineering.

The scientist was recognized as an ACM Distinguished Member in 2016.

Best Publications

  • Supporting Controlled Experimentation with Testing Techniques: An Infrastructure and its Potential Impact

    Hyunsook Do;Sebastian Elbaum;Gregg Rothermel

  • Test case prioritization: a family of empirical studies

    S. Elbaum;A.G. Malishevsky;G. Rothermel

  • Prioritizing test cases for regression testing

    Sebastian Elbaum;Alexey G. Malishevsky;Gregg Rothermel

  • Incorporating varying test costs and fault severities into test case prioritization

    Sebastian Elbaum;Alexey Malishevsky;Gregg Rothermel

  • Techniques for improving regression testing in continuous integration development environments

    Sebastian Elbaum;Gregg Rothermel;John Penix

  • Differential symbolic execution

    Suzette Person;Matthew B. Dwyer;Sebastian Elbaum;Corina S. Pǎsǎreanu

  • Selecting a Cost-Effective Test Case Prioritization Technique

    Sebastian Elbaum;Gregg Rothermel;Satya Kanduri;Alexey G. Malishevsky

  • Leveraging user-session data to support Web application testing

    S. Elbaum;G. Rothermel;S. Karre;M. Fisher

  • Method of and system for detecting an anomalous operation of a computer system

    John C. Munson;Sebastian G. Elbaum

  • Improving web application testing with user session data

    Sebastian Elbaum;Srikanth Karre;Gregg Rothermel

  • How developers search for code: a case study

    Caitlin Sadowski;Kathryn T. Stolee;Sebastian Elbaum

  • Quality assurance under the open source development model

    Luyin Zhao;Sebastian Elbaum

  • Programmers' build errors: a case study (at google)

    Hyunmin Seo;Caitlin Sadowski;Sebastian Elbaum;Edward Aftandilian

  • Code churn: a measure for estimating the impact of code change

    J.C. Munson;S.G. Elbaum

  • On Crop Height Estimation with UAVs

    David J. Anthony;Sebastian G. Elbaum;Aaron Lorenz;Carrick Detweiler

  • Autonomous Aerial Water Sampling

    John-Paul Ore;Sebastian Elbaum;Amy Burgin;Carrick Detweiler

  • Cost-cognizant Test Case Prioritization

    Alexey G. Malishevsky;Joseph R. Ruthru;Gregg Rothermel;Sebastian Elbaum

  • On test suite composition and cost-effective regression testing

    Gregg Rothermel;Sebastian Elbaum;Alexey G. Malishevsky;Praveen Kallakuri

  • Solving the Search for Source Code

    Kathryn T. Stolee;Sebastian Elbaum;Daniel Dobos

  • Understanding the effects of changes on the cost-effectiveness of regression testing techniques

    Sebastian G. Elbaum;Praveen Kallakuri;Alexey G. Malishevsky;Gregg Rothermel

Frequent Co-Authors

Matthew B. Dwyer
Matthew B. Dwyer University of Virginia
Gregg Rothermel
Gregg Rothermel North Carolina State University
David S. Rosenblum
David S. Rosenblum George Mason University
Antonia Bertolino
Antonia Bertolino National Research Council (CNR)
Dirac Twidwell
Dirac Twidwell University of Nebraska–Lincoln
Brad A. Myers
Brad A. Myers Carnegie Mellon University
Craig R. Allen
Craig R. Allen University of Nebraska–Lincoln
Myra B. Cohen
Myra B. Cohen Iowa State University
Anita Sarma
Anita Sarma Oregon State University
Mehmet C. Vuran
Mehmet C. Vuran University of Nebraska–Lincoln

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