World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
32
Citations
3934
World Ranking
13225
National Ranking
257

Marcela Genero 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 Marcela Genero 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: 181 publications — 39th percentile

39% of scientists in this discipline score the same or lower.

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

Marcela Genero 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 Marcela Genero 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: 32 D-Index — 10th percentile

10% of scientists in this discipline score the same or lower.

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

Overview

Marcela Genero is affiliated with the University of Castilla-La Mancha in Spain. Their research is primarily situated within the field of Computer Science, with a focus on several related subfields including Information Systems, Artificial Intelligence, Computer Science Applications, Human-Computer Interaction, and Management of Technology and Innovation.

The main topics addressed in Genero's research include Software Engineering Techniques and Practices, Software Engineering Research, Advanced Software Engineering Methodologies, Open Source Software Innovations, Persona Design and Applications, Collaboration in agile enterprises, and Quality and Supply Management.

Genero has contributed to multiple publication venues. Frequent venues for their work include:

  • Science of Computer Programming
  • IEEE Transactions on Software Engineering
  • Journal of Systems and Software
  • Software Quality Journal
  • Journal of Computer Science and Technology

Recent papers authored by or including Genero are:

  • What Makes Agile Software Development Agile? (2021), IEEE Transactions on Software Engineering
  • How consistency is handled in model-driven software engineering and UML: an expert opinion survey (2022), Software Quality Journal
  • System quality and security certification in seven weeks: A multi-case study in Spanish SMEs (2021), Journal of Systems and Software
  • Refining a Software System Deployment Process Model through Empirical Studies (2023), Journal of Computer Science and Technology
  • Adding relevance to rigor: Assessing the contributions of SLRs in Software Engineering through Citation Context Analysis (2024), Computer Science Review

Frequent collaborators with Marcela Genero include Mario Piattini, Ezequiel Kahan, Alejandro Oliveros, Emilio Insfrán, and Renata S. S. Guizzardi.

Best Publications

  • Towards a consistent terminology for software measurement

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

  • A Survey of Metrics for UML Class Diagrams

    Marcela Genero;Mario Piattini;Coral Calero

  • A conceptual modeling quality framework

    H. James Nelson;Geert Poels;Marcela Genero;Mario Piattini

  • Defining and validating metrics for assessing the understandability of entity-relationship diagrams

    Marcela Genero;Geert Poels;Mario Piattini

  • Early measures for UML class diagrams

    Marcela Genero;Mario Piattini;Coral Calero

  • Building measure-based prediction models for UML class diagram maintainability

    Marcela Genero;Esperanza Manso;Aaron Visaggio;Gerardo Canfora

  • Using Metrics to Predict OO Information Systems Maintainability

    Marcela Genero;José Olivas;Mario Piattini;Francisco Romero

  • Building UML class diagram maintainability prediction models based on early metrics

    M. Genero;M. Piattini;E. Manso;G. Cantone

  • An Empirical Investigation on the Benefits of Gamification in Programming Courses

    B. Marín;J. Frez;J. Cruz-Lemus;M. Genero

  • The impact of structural complexity on the understandability of UML statechart diagrams

    José A. Cruz-Lemus;Ann Maes;Marcela Genero;Geert Poels

  • Empirical validation of class diagram metrics

    M. Genero;M. Piattini;C. Calero

  • Research Review: A Systematic Literature Review on the Quality of UML Models

    Mario Piattini;Geert Poels;Marcela Genero;Ana M. Fernández-Saez

  • Assessing the understandability of UML statechart diagrams with composite states--A family of empirical studies

    José A. Cruz-Lemus;Marcela Genero;M. Esperanza Manso;Sandro Morasca

  • Evaluating requirements modeling methods based on user perceptions: A family of experiments

    Silvia Abrahão;Emilio Insfran;José Angel Carsí;Marcela Genero

  • What Makes Agile Software Development Agile

    Marco Kuhrmann;Paolo Tell;Regina Hebig;Jil Ann Christin Klunder

  • No-redundant metrics for UML class diagram structural complexity

    Ma Esperanza Manso;Marcela Genero;Mario Piattini

  • UML consistency rules: a systematic mapping study

    Damiano Torre;Yvan Labiche;Marcela Genero

  • Metrics For Software Conceptual Models

    Marcela Genero

  • On the impact of UML analysis models on source-code comprehensibility and modifiability

    Giuseppe Scanniello;Carmine Gravino;Marcela Genero;Jose' A. Cruz-Lemus

  • Evaluating the effect of composite states on the understandability of UML statechart diagrams

    José A. Cruz-Lemus;Marcela Genero;M. Esperanza Manso;Mario Piattini

  • A Systematic Literature Review on the Quality of UML Models

    M. Genero;A. M. Fernandez;H. J. Nelson;Geert Poels

Frequent Co-Authors

Mario Piattini
Mario Piattini University of Castilla-La Mancha
Coral Calero
Coral Calero University of Castilla-La Mancha
Geert Poels
Geert Poels Ghent University
Michel R. V. Chaudron
Michel R. V. Chaudron Eindhoven University of Technology
Yvan Labiche
Yvan Labiche Carleton University
Genoveffa Tortora
Genoveffa Tortora University of Salerno
Giuseppe Scanniello
Giuseppe Scanniello University of Salerno
Sandro Morasca
Sandro Morasca University of Insubria
Félix García
Félix García University of Castilla-La Mancha
Gabriele Bavota
Gabriele Bavota Universita della Svizzera Italiana

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