World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
38
Citations
5866
World Ranking
10267
National Ranking
164

Félix García 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 Félix García 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: 191 publications — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Félix García 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 Félix García 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: 38 D-Index — 30th percentile

30% of scientists in this discipline score the same or lower.

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

Overview

Félix García is affiliated with the University of Castilla-La Mancha in Spain and has contributed extensively to the fields of Computer Science and Engineering, with a particular focus on Information Systems and Electrical and Electronic Engineering. Their research spans several interconnected subfields including Artificial Intelligence, Computer Science Applications, and Management Information Systems.

The scientist's work primarily addresses topics such as Green IT and Sustainability, Software Engineering Techniques and Practices, and Software Engineering Research. Other areas covered include Mobile Crowdsensing and Crowdsourcing, Open Source Software Innovations, Parallel Computing and Optimization Techniques, and Advanced Software Engineering Methodologies.

Félix García has published regularly in various academic venues. Frequent publication outlets include:

  • Journal of Software Evolution and Process
  • Computer Standards & Interfaces
  • Journal of Systems and Software
  • Zenodo (CERN European Organization for Nuclear Research)
  • SSRN Electronic Journal

The scientist's recent papers illustrate the focus on software life cycle risk management, sustainability, and energy efficiency. Notable papers include:

  • "Risk management in the software life cycle: A systematic literature review", 2020, Computer Standards & Interfaces
  • "Energy efficiency in software: A case study on sustainability in personal health records", 2020, Journal of Cleaner Production
  • "A process for analysing the energy efficiency of software", 2021, Information and Software Technology
  • "An architecture for software engineering gamification", 2020, Tsinghua Science & Technology
  • "FEETINGS: Framework for Energy Efficiency Testing to Improve Environmental Goal of the Software", 2021, Sustainable Computing Informatics and Systems

Collaborations have been an important aspect of their research, with frequent co-authors including Coral Calero, Ma Ángeles Moraga, Mario Piattini, Javier Mancebo, and Aurora Vizcaíno. These partnerships suggest a collaborative approach within their domain.

Best Publications

  • Gamification in software engineering – A systematic mapping

    Oscar Pedreira;Félix García;Nieves R. Brisaboa;Mario Piattini

  • Software process improvement in small and medium software enterprises: a systematic review

    Francisco J. Pino;Félix García;Mario Piattini

  • Towards a consistent terminology for software measurement

    Félix García;Manuel F. Bertoa;Coral Calero;Antonio Vallecillo

  • Software Process Improvement: The Competisoft Project

    H. Oktaba;F. Garcia;M. Piattini;F. Ruiz

  • A framework for gamification in software engineering

    Flix Garca;Oscar Pedreira;Mario Piattini;Ana Cerdeira-Pena

  • An ontology for the harmonization of multiple standards and models

    Csar Pardo;Francisco J. Pino;Flix Garca;Mario Piattini

  • AN ONTOLOGY FOR THE MANAGEMENT OF SOFTWARE MAINTENANCE PROJECTS

    Francisco Ruiz;Aurora Vizcaíno;Mario Piattini;Felix García

  • Revisión sistemática de mejora de procesos software en micro, pequeñas y medianas empresas

    Francisco J. Pino;Grupo Idis;Félix García;Mario Piattini

  • Thresholds for error probability measures of business process models

    J. Mendling;Laura Sanchez-Gonzalez;Felix Garcia;Marcello La Rosa

  • Evaluating advantages of test driven development: a controlled experiment with professionals

    Gerardo Canfora;Aniello Cimitile;Felix Garcia;Mario Piattini

  • Assessment methodology for software process improvement in small organizations

    Francisco J. Pino;César Pardo;Félix García;Mario Piattini

  • Quality indicators for business process models from a gateway complexity perspective

    Laura SáNchez-GonzáLez;FéLix GarcíA;Francisco Ruiz;Jan Mendling

  • A family of experiments to validate metrics for software process models

    G. Canfora;F. García;M. Piattini;F. Ruiz

  • Evaluating performances of pair designing in industry

    Gerardo Canfora;Aniello Cimitile;Felix Garcia;Mario Piattini

  • Implementation of the Business Process Modelling Notation (BPMN) in the modelling of anatomic pathology processes.

    Marcial García Rojo;Elvira Rolón;Luis Calahorra;Felix Óscar García

  • Managing software process measurement: A metamodel-based approach

    F. García;M. Serrano;J. Cruz-Lemus;F. Ruiz

  • From chaos to the systematic harmonization of multiple reference models: A harmonization framework applied in two case studies

    CéSar Pardo;Francisco J. Pino;FéLix Garcia;Maria Teresa Baldassarre

  • Applying Software Metrics to evaluate Business Process Models

    Elvira Rolón;Francisco Ruiz;Félix García;Mario Piattini

  • Analysis and Validation of Control-Flow Complexity Measures with BPMN Process Models

    Elvira Rolón;Jorge Cardoso;Félix García;Francisco Ruiz

  • Using Scrum to guide the execution of software process improvement in small organizations

    Francisco J. Pino;Oscar Pedreira;Félix García;Miguel Rodríguez Luaces

Frequent Co-Authors

Mario Piattini
Mario Piattini University of Castilla-La Mancha
Coral Calero
Coral Calero University of Castilla-La Mancha
Corrado Aaron Visaggio
Corrado Aaron Visaggio University of Sannio
Gerardo Canfora
Gerardo Canfora University of Sannio
Jan Mendling
Jan Mendling Humboldt-Universität zu Berlin
Ambrosio Toval
Ambrosio Toval University of Murcia
Marcela Genero
Marcela Genero University of Castilla-La Mancha
Jürgen Münch
Jürgen Münch Reutlingen University
Geert Poels
Geert Poels Ghent University
Marcello La Rosa
Marcello La Rosa University of Melbourne

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