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D-Index & Metrics

Computer Science

D-Index
37
Citations
4875
World Ranking
10900
National Ranking
686

Federica Sarro 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 Federica Sarro 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 144 publications — 24th percentile

24% of scientists in this discipline score the same or lower.

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

Federica Sarro 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 Federica Sarro sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 37 D-Index — 27th percentile

27% of scientists in this discipline score the same or lower.

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

Overview

Federica Sarro is affiliated with University College London in the United Kingdom. Their research domain is primarily within Computer Science, where they have contributed extensively to subfields like Information Systems, Software, Artificial Intelligence, Computer Networks and Communications, and Safety Research.

The scientist's research topics include Software Engineering Research, Software Reliability and Analysis Research, Software Testing and Debugging Techniques, Ethics and Social Impacts of AI, Adversarial Robustness in Machine Learning, Software Engineering Techniques and Practices, and Software System Performance and Reliability.

Federica Sarro has published numerous papers, with recent examples including:

  • "Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey," 2023, ACM Journal on Responsible Computing
  • "Empirical Standards for Software Engineering Research," 2020, arXiv (Cornell University)
  • "A Comprehensive Empirical Study of Bias Mitigation Methods for Machine Learning Classifiers," 2023, ACM Transactions on Software Engineering and Methodology
  • "A Survey of Performance Optimization for Mobile Applications," 2021, IEEE Transactions on Software Engineering
  • "Green AI," 2022, Proceedings of the 44th International Conference on Software Engineering

The frequent co-authors of Federica Sarro include:

  • Zhenpeng Chen (19 joint publications)
  • Mark Harman (18 joint publications)
  • Jie M. Zhang (15 joint publications)
  • Max Hort (14 joint publications)
  • Justyna Petke (12 joint publications)

Federica Sarro has published extensively in venues such as:

  • arXiv (Cornell University) - 33 publications
  • ACM Transactions on Software Engineering and Methodology - 10 publications
  • IEEE Transactions on Software Engineering - 8 publications
  • Empirical Software Engineering - 8 publications
  • Information and Software Technology - 4 publications

Best Publications

  • A Survey of App Store Analysis for Software Engineering

    William Martin;Federica Sarro;Yue Jia;Yuanyuan Zhang

  • The plastic surgery hypothesis

    Earl T. Barr;Yuriy Brun;Premkumar Devanbu;Mark Harman

  • Multi-objective software effort estimation

    Federica Sarro;Alessio Petrozziello;Mark Harman

  • Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey

    Unknown

  • The app sampling problem for app store mining

    William Martin;Mark Harman;Yue Jia;Federica Sarro

  • A Parallel Genetic Algorithm Based on Hadoop MapReduce for the Automatic Generation of JUnit Test Suites

    Linda Di Geronimo;Filomena Ferrucci;Alfonso Murolo;Federica Sarro

  • A genetic algorithm to configure support vector machines for predicting fault-prone components

    Sergio Di Martino;Filomena Ferrucci;Carmine Gravino;Federica Sarro

  • Clustering Mobile Apps Based on Mined Textual Features

    A. A. Al-Subaihin;F. Sarro;S. Black;L. Capra

  • Using tabu search to configure support vector regression for effort estimation

    A. Corazza;S. Di Martino;F. Ferrucci;C. Gravino

  • Exact Mean Absolute Error of Baseline Predictor, MARP0

    William B. Langdon;Javier Dolado;Federica Sarro;Mark Harman

  • Empirical Standards for Software Engineering Research

    Paul Ralph;Nauman bin Ali;Sebastian Baltes;Domenico Bianculli

  • Feature lifecycles as they spread, migrate, remain, and die in App Stores

    Federica Sarro;Afnan A. Al-Subaihin;Mark Harman;Yue Jia

  • Causal impact analysis for app releases in google play

    William Martin;Federica Sarro;Mark Harman

  • Investigating the relationship between price, rating, and popularity in the Blackberry World App Store

    Anthony Finkelstein;Mark Harman;Yue Jia;William Martin

  • Not going to take this anymore: multi-objective overtime planning for software engineering projects

    Filomena Ferrucci;Mark Harman;Jian Ren;Federica Sarro

  • Search-Based Software Project Management

    Filomena Ferrucci;Mark Harman;Federica Sarro

  • How effective is Tabu search to configure support vector regression for effort estimation

    A. Corazza;S. Di Martino;F. Ferrucci;C. Gravino

  • Genetic Programming for Effort Estimation: An Analysis of the Impact of Different Fitness Functions

    Filomena Ferrucci;Carmine Gravino;Rocco Oliveto;Federica Sarro

  • Cross-validation based K nearest neighbor imputation for software quality datasets: An empirical study

    Jianglin Huang;Jacky Wai Keung;Federica Sarro;Yan-Fu Li

  • App Store Effects on Software Engineering Practices

    Afnan A. Al-Subaihin;Federica Sarro;Sue Black;Licia Capra

  • The importance of accounting for real-world labelling when predicting software vulnerabilities

    Matthieu Jimenez;Renaud Rwemalika;Mike Papadakis;Federica Sarro

Frequent Co-Authors

Filomena Ferrucci
Filomena Ferrucci University of Salerno
Mark Harman
Mark Harman University College London
Yue Jia
Yue Jia University College London
Emilia Mendes
Emilia Mendes Aarhus University
Rocco Oliveto
Rocco Oliveto University of Molise
Anthony Finkelstein
Anthony Finkelstein University College London
Licia Capra
Licia Capra University College London
Michael R. Lyu
Michael R. Lyu Chinese University of Hong Kong
Irwin King
Irwin King Chinese University of Hong Kong
Yves Le Traon
Yves Le Traon University of Luxembourg

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