World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
53
Citations
12614
World Ranking
4780
National Ranking
2225

Frank Tip 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 Frank Tip 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: 146 publications — 25th percentile

25% of scientists in this discipline score the same or lower.

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

Frank Tip 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 Frank Tip 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: 53 D-Index — 67th percentile

67% 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

  • 2008 - ACM Distinguished Member
  • Fellow of the International Federation for Information Processing (IFIP) leading researcher working at the boundary of Programming Languages and Software Engineering, focusing on tools for improving software quality and programmer productivity
  • Fellow of the International Federation for Information Processing (IFIP) leading researcher working at the boundary of Programming Languages and Software Engineering, focusing on tools for improving software quality and programmer productivity
  • Fellow of the International Federation for Information Processing (IFIP) leading researcher working at the boundary of Programming Languages and Software Engineering, focusing on tools for improving software quality and programmer productivity
  • Fellow of the International Federation for Information Processing (IFIP) leading researcher working at the boundary of Programming Languages and Software Engineering, focusing on tools for improving software quality and programmer productivity
  • Fellow of the International Federation for Information Processing (IFIP) leading researcher working at the boundary of Programming Languages and Software Engineering, focusing on tools for improving software quality and programmer productivity

Overview

Frank Tip is a researcher affiliated with Northeastern University in the United States focusing on areas within Computer Science. Their work encompasses several subfields including Information Systems, Software, Artificial Intelligence, Computer Networks and Communications, and Signal Processing.

Their research contributions primarily address topics such as Software Engineering Research, Software Testing and Debugging Techniques, Web Application Security Vulnerabilities, Natural Language Processing Techniques, Advanced Malware Detection Techniques, Parallel Computing and Optimization Techniques, and Software Reliability and Analysis Research.

Among the notable recent publications by Frank Tip are:

  • "An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation" (2023) published in IEEE Transactions on Software Engineering
  • "An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation" (2023) published in arXiv (Cornell University)
  • "Automatic migration from synchronous to asynchronous JavaScript APIs" (2021) published in Proceedings of the ACM on Programming Languages
  • "Nessie" (2022) published in Proceedings of the 44th International Conference on Software Engineering
  • "Stubbifier: debloating dynamic server-side JavaScript applications" (2022) published in Empirical Software Engineering

Frank Tip's collaborative research network includes frequent co-authors such as Ellen Arteca, Max Schäfer, Alexi Turcotte, and Sarah Nadi.

Their work has appeared in multiple publication venues, with repeated contributions to arXiv (Cornell University), IEEE Transactions on Software Engineering, Leibniz-Zentrum für Informatik (Schloss Dagstuhl), Proceedings of the 44th International Conference on Software Engineering, and Proceedings of the ACM on Programming Languages.

Throughout their career, Frank Tip has been recognized with awards including the ACM Distinguished Member honor in 2008 and being named a Fellow of the International Federation for Information Processing (IFIP) for significant research at the intersection of Programming Languages and Software Engineering, particularly in developing tools to improve software quality and programmer productivity.

Best Publications

  • A Survey of Program Slicing Techniques.

    Frank Tip

  • A survey of program slicing techniques.

    Frank Tip

  • Chianti: a tool for change impact analysis of java programs

    Xiaoxia Ren;Fenil Shah;Frank Tip;Barbara G. Ryder

  • Scalable propagation-based call graph construction algorithms

    Frank Tip;Jens Palsberg

  • Change impact analysis for object-oriented programs

    Barbara G. Ryder;Frank Tip

  • Associating synchronization constraints with data in an object-oriented language

    Mandana Vaziri;Frank Tip;Julian Dolby

  • Reengineering class hierarchies using concept analysis

    Gregor Snelting;Frank Tip

  • A framework for automated testing of javascript web applications

    Shay Artzi;Julian Dolby;Simon Holm Jensen;Anders Moller

  • An Empirical Evaluation of Using Large Language Models for Automated Unit Test Generation

    Unknown

  • Finding Bugs in Web Applications Using Dynamic Test Generation and Explicit-State Model Checking

    S Artzi;A Kiezun;J Dolby;F Tip

  • Finding bugs in dynamic web applications

    Shay Artzi;Adam Kiezun;Julian Dolby;Frank Tip

  • Refactoring for generalization using type constraints

    Frank Tip;Adam Kiezun;Dirk Bäumer

  • Refactoring support for class library migration

    Ittai Balaban;Frank Tip;Robert Fuhrer

  • Directed test generation for effective fault localization

    Shay Artzi;Julian Dolby;Frank Tip;Marco Pistoia

  • Parametric program slicing

    John Field;G. Ramalingam;Frank Tip

  • Aggregate structure identification and its application to program analysis

    G. Ramalingam;John Field;Frank Tip

  • Correlation tracking for points-to analysis of javascript

    Manu Sridharan;Julian Dolby;Satish Chandra;Max Schäfer

  • Understanding class hierarchies using concept analysis

    Gregor Snelting;Frank Tip

  • Origin Tracking.

    A. van Deursen;P. Klint;F. Tip

  • Practical experience with an application extractor for Java

    Frank Tip;Chris Laffra;Peter F. Sweeney;David Streeter

  • Automated repair of HTML generation errors in PHP applications using string constraint solving

    Hesam Samimi;Max Schafer;Shay Artzi;Todd Millstein

Frequent Co-Authors

Julian Dolby
Julian Dolby IBM (United States)
Barbara G. Ryder
Barbara G. Ryder Virginia Tech
Manu Sridharan
Manu Sridharan University of California, Riverside
Marco Pistoia
Marco Pistoia JPMorgan Chase & Co (United States)
Satish Chandra
Satish Chandra Association for Computing Machinery
Jan Vitek
Jan Vitek Northeastern University
Michael D. Ernst
Michael D. Ernst University of Washington
Bjorn De Sutter
Bjorn De Sutter Ghent University
Danny Dig
Danny Dig University of Colorado Boulder
Todd Millstein
Todd Millstein University of California, Los Angeles

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