World's Best Scientists 2026 revealed!
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Computer Science
Italy
2026

D-Index & Metrics

Computer Science

D-Index
82
Citations
21748
World Ranking
982
National Ranking
9

Xiaofeng Wang 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 Xiaofeng Wang 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: 371 publications — 84th percentile

84% of scientists in this discipline score the same or lower.

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

Xiaofeng Wang 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 Xiaofeng Wang 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: 82 D-Index — 94th percentile

94% 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

  • 2026 - Research.com Computer Science in Italy Leader Award
  • 2025 - Research.com Computer Science in Italy Leader Award
  • 2022 - Research.com Computer Science in Italy Leader Award

Overview

Xiaofeng Wang is affiliated with the Free University of Bozen-Bolzano in Italy. Their research focuses predominantly on the field of Computer Science, with 92 publications. Within this domain, their work covers several subfields including Information Systems, Artificial Intelligence, Management Information Systems, Computer Science Applications, and Computer Networks and Communications.

Thematic areas of Xiaofeng Wang's research include Software Engineering Techniques and Practices, Software Engineering Research, Big Data and Business Intelligence, Open Source Software Innovations, Software System Performance and Reliability, Virtual Reality Applications and Impacts, and Advanced Software Engineering Methodologies.

Recent notable publications by Xiaofeng Wang include: Comparing Methods for Large-Scale Agile Software Development: A Systematic Literature Review (2021) published in IEEE Transactions on Software Engineering; Software Startups -- A Research Agenda (2023) in Munich Personal RePEc Archive (Ludwig Maximilian University of Munich); From transformation to normalisation: An exploratory study of a large-scale agile transformation (2023) in Journal of Information Technology; Understanding Hypotheses Engineering in Software Startups through a Gray Literature Review (2020) in Information and Software Technology; and Clues in Tweets (2022) presented at the Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security.

Xiaofeng Wang frequently collaborates with other researchers. Key co-authors include Jorge Melegati, Eduardo Guerra, Pekka Abrahamsson, Dron Khanna, and Henry Edison.

Their work is regularly published in several venues, with multiple contributions to Zenodo (CERN European Organization for Nuclear Research), arXiv (Cornell University), SSRN Electronic Journal, Journal of Computer Assisted Learning, and IEEE Transactions on Software Engineering.

In addition to journal and conference papers, Xiaofeng Wang has contributed to book publications. One such publication is part of a collection released by Springer Science+Business Media, titled Agile Processes in Software Engineering and Extreme Programming (2021).

Best Publications

  • Effective and efficient malware detection at the end host

    Clemens Kolbitsch;Paolo Milani Comparetti;Christopher Kruegel;Engin Kirda

  • The Tangled Web of Password Reuse

    Anupam Das;Joseph Bonneau;Matthew Caesar;Nikita Borisov

  • Soundcomber: A Stealthy and Context-Aware Sound Trojan for Smartphones.

    Roman Schlegel;Kehuan Zhang;Xiao-yong Zhou;Mehool Intwala

  • Side-Channel Leaks in Web Applications: A Reality Today, a Challenge Tomorrow

    Shuo Chen;Rui Wang;XiaoFeng Wang;Kehuan Zhang

  • Coevolving Systems and the Organization of Agile Software Development

    Richard Vidgen;Xiaofeng Wang

  • 'Lots Done, More To Do': the Current State of Agile Systems Development Research

    Pekka Abrahamsson;Kieran Conboy;Xiaofeng Wang

  • Leaky Cauldron on the Dark Land: Understanding Memory Side-Channel Hazards in SGX

    Wenhao Wang;Guoxing Chen;Xiaorui Pan;Yinqian Zhang

  • IoTFuzzer: Discovering Memory Corruptions in IoT Through App-based Fuzzing.

    Jiongyi Chen;Wenrui Diao;Qingchuan Zhao;Chaoshun Zuo

  • Signing Me onto Your Accounts through Facebook and Google: A Traffic-Guided Security Study of Commercially Deployed Single-Sign-On Web Services

    Rui Wang;Shuo Chen;XiaoFeng Wang

  • People over process: key people challenges in agile development

    Kieran Conboy;Sharon Coyle;Xiaofeng Wang;Minna Pikkarainen

  • Privacy in the Genomic Era

    Muhammad Naveed;Erman Ayday;Ellen W. Clayton;Jacques Fellay

  • Learning your identity and disease from research papers: information leaks in genome wide association study

    Rui Wang;Yong Fuga Li;XiaoFeng Wang;Haixu Tang

  • Reinforcement Learning to Play an Optimal Nash Equilibrium in Team Markov Games

    Xiaofeng Wang;Tuomas Sandholm

  • Defending against denial-of-service attacks with puzzle auctions

    Xiaofeng Wang;M.K. Reiter

  • Knowing your enemy: understanding and detecting malicious web advertising

    Zhou Li;Kehuan Zhang;Yinglian Xie;Fang Yu

  • Sedic: privacy-aware data intensive computing on hybrid clouds

    Kehuan Zhang;Xiaoyong Zhou;Yangyi Chen;XiaoFeng Wang

  • People over Process: Key Challenges in Agile Development

    K. Conboy;S. Coyle;Xiaofeng Wang;Minna Pikkarainen

  • Leagile software development

    Xiaofeng Wang;Kieran Conboy;Oisin Cawley

  • Agile Processes in Software Engineering and Extreme Programming

    Alberto Sillitti;Angela Martin;Xiaofeng Wang;Elizabeth Whitworth

  • A Study of the Characteristics of Behaviour Driven Development

    Carlos Solis;Xiaofeng Wang

  • What happens when software developers are (un)happy

    Daniel Graziotin;Fabian Fagerholm;Fabian Fagerholm;Xiaofeng Wang;Pekka Abrahamsson

  • Why Early-Stage Software Startups Fail: A Behavioral Framework

    Carmine Giardino;Xiaofeng Wang;Pekka Abrahamsson

  • Happy software developers solve problems better: psychological measurements in empirical software engineering

    Daniel Graziotin;Xiaofeng Wang;Pekka Abrahamsson

  • Commandersong: a systematic approach for practical adversarial voice recognition

    Xuejing Yuan;Yuxuan Chen;Yue Zhao;Yunhui Long

  • Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12.

    Jun Tang;Aleksandra Korolova;Xiaolong Bai;Xueqiang Wang

  • Key Challenges in Early-Stage Software Startups

    Carmine Giardino;Sohaib Shahid Bajwa;Xiaofeng Wang;Pekka Abrahamsson

  • “Failures” to be celebrated: an analysis of major pivots of software startups

    Sohaib Shahid Bajwa;Xiaofeng Wang;Anh Nguyen Duc;Pekka Abrahamsson

  • Comparing Methods for Large-Scale Agile Software Development: A Systematic Literature Review

    Henry Edison;Xiaofeng Wang;Kieran Conboy

  • A survey study on major technical barriers affecting the decision to adopt cloud services

    Nattakarn Phaphoom;Xiaofeng Wang;Sarah Samuel;Sven Helmer

  • Assimilation of agile practices in use

    Xiaofeng Wang;Kieran Conboy;Minna Pikkarainen

  • Software Startups - A Research Agenda

    Michael Unterkalmsteiner;Pekka Kalevi Abrahamsson;Xiaofeng Wang;Anh Nguyen-Duc

  • Affordable and Energy-Efficient Cloud Computing Clusters: The Bolzano Raspberry Pi Cloud Cluster Experiment

    Pekka Abrahamsson;Sven Helmer;Nattakarn Phaphoom;Lorenzo Nicolodi

  • Do feelings matter? On the correlation of affects and the self-assessed productivity in software engineering

    Daniel Graziotin;Xiaofeng Wang;Pekka Abrahamsson

  • Lean Internal Startups for Software Product Innovation in Large Companies: Enablers and Inhibitors

    Henry Edison;Nina M. Smørsgård;Xiaofeng Wang;Pekka Abrahamsson

  • On the Unhappiness of Software Developers

    Daniel Graziotin;Fabian Fagerholm;Xiaofeng Wang;Pekka Abrahamsson

  • Empirical Standards for Software Engineering Research

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

  • Software Developers, Moods, Emotions, and Performance

    Daniel Graziotin;Xiaofeng Wang;Pekka Abrahamsson

Frequent Co-Authors

Pekka Abrahamsson
Pekka Abrahamsson Tampere University
Kieran Conboy
Kieran Conboy University of Galway
Dou Zhang
Dou Zhang Central South University
Qian Liu
Qian Liu Chengdu University
Haixu Tang
Haixu Tang Indiana University
Richard Vidgen
Richard Vidgen University of New South Wales
De-Shuang Huang
De-Shuang Huang Tongji University
Jishan Zhang
Jishan Zhang University of Science and Technology Beijing
Ita Richardson
Ita Richardson University of Limerick
Rafael Prikladnicki
Rafael Prikladnicki Pontifical Catholic University of Rio Grande do Sul

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