World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
5300
World Ranking
8979
National Ranking
251

Alberto Sillitti 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 Alberto Sillitti 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: 199 publications — 46th percentile

46% of scientists in this discipline score the same or lower.

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

Alberto Sillitti 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 Alberto Sillitti 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: 41 D-Index — 40th percentile

40% of scientists in this discipline score the same or lower.

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

Overview

Alberto Sillitti is affiliated with the Free University of Bozen-Bolzano in Italy. The primary fields of study for Sillitti encompass Engineering and Computer Science, with a research focus that includes subfields such as Information Systems, Control and Systems Engineering, Mechanical Engineering, Software, and Artificial Intelligence. Their work spans multiple interconnected areas within these disciplines.

The main topics covered by Sillitti's research include:

  • Machine Fault Diagnosis Techniques
  • Software Engineering Research
  • Software Reliability and Analysis Research
  • Non-Destructive Testing Techniques
  • Software Engineering Techniques and Practices
  • Railway Engineering and Dynamics
  • Structural Health Monitoring Techniques

Frequent co-authors collaborating with Sillitti include Ilya Khomyakov, Ruzilya Mirgalimova, István Moldován, Sourajit Behera, and Rajiv Misra. These collaborations have contributed to multiple scholarly publications in reputable venues.

The venues where Sillitti's work has been published most often are:

  • Information Sciences
  • IEEE Transactions on Automation Science and Engineering
  • IEEE Access
  • Electronics

Recent papers authored or co-authored by Sillitti include:

  • "Multiscale deep bidirectional gated recurrent neural networks based prognostic method for complex non-linear degradation systems," published in 2021 in Information Sciences
  • "TSI: Time series to imaging based model for detecting anomalous energy consumption in smart buildings," published in 2020 in Information Sciences
  • "GAN-Based Multi-Task Learning Approach for Prognostics and Health Management of IIoT," published in 2023 in IEEE Transactions on Automation Science and Engineering
  • "Cross-Project Defect Prediction: A Literature Review," published in 2022 in IEEE Access
  • "Improving the Maintenance of Railway Switches through Proactive Approach," published in 2020 in Electronics

Sillitti has also contributed to book publications, including a title published by Springer Science+Business Media titled "Open Source Systems" in 2020.

Best Publications

  • Project management in plan-based and agile companies

    M. Ceschi;A. Sillitti;G. Succi;S. De Panfilis

  • Anomaly Detection, Analysis and Prediction Techniques in IoT Environment: A Systematic Literature Review

    Unknown

  • Agile Processes in Software Engineering and Extreme Programming

    Alberto Sillitti;Angela Martin;Xiaofeng Wang;Elizabeth Whitworth

  • Computational Intelligence: An Introduction

    Witold Pedrycz;Witold Pedrycz

  • Failure prediction based on log files using Random Indexing and Support Vector Machines

    Ilenia Fronza;Alberto Sillitti;Giancarlo Succi;Mikko Terho

  • Requirements Engineering for Agile Methods

    Alberto Sillitti;Giancarlo Succi

  • A Case Study on the Impact of Refactoring on Quality and Productivity in an Agile Team

    Raimund Moser;Pekka Abrahamsson;Witold Pedrycz;Alberto Sillitti

  • Managing uncertainty in requirements: a survey in documentation-driven and agile companies

    A. Sillitti;M. Ceschi;B. Russo;G. Succi

  • Does refactoring improve reusability

    Raimund Moser;Alberto Sillitti;Pekka Abrahamsson;Giancarlo Succi

  • Data description

    Witold Pedrycz;Giancarlo Succi;Alberto Sillitti;Joana Iljazi

  • Collecting, integrating and analyzing software metrics and personal software process data

    Unknown

  • Effort Prediction in Iterative Software Development Processes -- Incremental Versus Global Prediction Models

    Unknown

  • Mobile multiplatform development: An experiment for performance analysis

    Luis Corral;Alberto Sillitti;Giancarlo Succi

  • A multivariate classification of open source developers

    Enrico Di Bella;Alberto Sillitti;Giancarlo Succi

  • Pair Programming and Software Defects--A Large, Industrial Case Study

    E. di Bella;I. Fronza;N. Phaphoom;A. Sillitti

  • Cooperation, collaboration and pair-programming: Field studies on backup behavior

    Irina D. Coman;Pierre N. Robillard;Alberto Sillitti;Giancarlo Succi

  • A non-invasive approach to product metrics collection

    Marco Scotto;Alberto Sillitti;Giancarlo Succi;Tullio Vernazza

  • A relational approach to software metrics

    Marco Scotto;Alberto Sillitti;Giancarlo Succi;Tullio Vernazza

  • Selecting components in large COTS repositories

    Justin Clark;Chris Clarke;Stefano De Panfilis;Giampiero Granatella

  • Comparing OpenBRR, QSOS, and OMM Assessment Models

    Etiel Petrinja;Alberto Sillitti;Giancarlo Succi

  • Service Oriented Programming: A New Paradigm of Software Reuse

    Alberto Sillitti;Tullio Vernazza;Giancarlo Succi

  • Evolution of Mobile Software Development from Platform-Specific to Web-Based Multiplatform Paradigm

    Luis Corral;Alberto Sillitti;Giancarlo Succi;Alessandro Garibbo

  • Understanding the impact of pair programming on developers attention: a case study on a large industrial experimentation

    Alberto Sillitti;Giancarlo Succi;Jelena Vlasenko

Frequent Co-Authors

Giancarlo Succi
Giancarlo Succi University of Bologna
Witold Pedrycz
Witold Pedrycz University of Alberta
Paolo Ciancarini
Paolo Ciancarini University of Bologna
Manuel Mazzara
Manuel Mazzara ETH Zurich
Pekka Abrahamsson
Pekka Abrahamsson Tampere University
Davide Rossi
Davide Rossi University of Bologna
Sandro Morasca
Sandro Morasca University of Insubria
Davide Taibi
Davide Taibi University of Oulu
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Luciano Baresi
Luciano Baresi Polytechnic University of Milan

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