World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
41
Citations
7426
World Ranking
8828
National Ranking
129

Juan de Lara 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 Juan de Lara 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: 313 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Juan de Lara 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 Juan de Lara 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

Juan de Lara is affiliated with the Autonomous University of Madrid in Spain. Their research primarily focuses on computer science, with a specialization in areas such as artificial intelligence, software, information systems, computer networks and communications, and management information systems.

Their work covers several main topics, including:

  • Model-Driven Software Engineering Techniques
  • Advanced Software Engineering Methodologies
  • Service-Oriented Architecture and Web Services
  • Software Testing and Debugging Techniques
  • AI in Service Interactions
  • Business Process Modeling and Analysis
  • Software System Performance and Reliability

Juan de Lara has published extensively in notable venues, frequently contributing to:

  • Software & Systems Modeling
  • Technische Universität Berlin - Universitätsbibliothek
  • IEEE Software
  • Journal of Systems and Software
  • ACM Transactions on Software Engineering and Methodology

Among their recent papers are:

  • Low-code development and model-driven engineering: Two sides of the same coin?, 2022, Software & Systems Modeling
  • Choosing a Chatbot Development Tool, 2021, IEEE Software
  • Recommender systems in model-driven engineering, 2021, Software & Systems Modeling
  • Wodel-Test: a model-based framework for language-independent mutation testing, 2020, Software & Systems Modeling
  • MT-EA4Cloud: A Methodology For testing and optimising energy-aware cloud systems, 2020, Journal of Systems and Software

Frequent co-authors in Juan de Lara's research include:

  • Esther Guerra
  • Sara Pérez-Soler
  • Pablo Gómez-Abajo
  • Pablo C. Cañizares
  • Manuel Wimmer

In addition to journal articles and conference papers, Juan de Lara has contributed to book publications. Notably, they have a book titled Graph Transformation published in 2022 by Springer Science+Business Media.

Best Publications

  • AToM3: A Tool for Multi-formalism and Meta-modelling

    Juan de Lara;Juan de Lara;Hans Vangheluwe

  • Supporting user-oriented analysis for multi-view domain-specific visual languages

    Esther Guerra;Juan de Lara;Alessio Malizia;Paloma Díaz

  • Deep meta-modelling with METADEPTH

    Juan de Lara;Esther Guerra

  • Model transformation by graph transformation: A comparative study

    Gabriele Taentzer;Karsten Ehrig;Esther Guerra;Juan de Lara

  • Verification and validation of declarative model-to-model transformations through invariants

    Jordi Cabot;Robert Clarisó;Esther Guerra;Juan de Lara

  • Meta-modelling and graph grammars for multi-paradigm modelling in AToM3

    Juan De Lara;Hans Vangheluwe;Manuel Alfonseca

  • A research roadmap towards achieving scalability in model driven engineering

    Dimitrios S. Kolovos;Louis M. Rose;Nicholas Matragkas;Richard F. Paige

  • Termination criteria for model transformation

    Hartmut Ehrig;Karsten Ehrig;Juan de Lara;Gabriele Taentzer

  • When and How to Use Multilevel Modelling

    Juan De Lara;Esther Guerra;Jesús Sánchez Cuadrado

  • Attributed graph transformation with node type inheritance

    Juan de Lara;Roswitha Bardohl;Hartmut Ehrig;Karsten Ehrig

  • Integrating meta-modelling aspects with graph transformation for efficient visual language definition and model manipulation

    Roswitha Bardohl;Hartmut Ehrig;Juan De Lara;Gabriele Taentzer

  • Using AToM 3 as a Meta-Case Tool.

    Juan de Lara;Hans Vangheluwe

  • Automated verification of model transformations based on visual contracts

    Esther Guerra;Juan Lara;Manuel Wimmer;Gerti Kappel

  • Defining visual notations and their manipulation through meta-modelling and graph transformation

    Juan de Lara;Hans Vangheluwe

  • Engineering model transformations with transML

    Esther Guerra;Juan Lara;Dimitrios S. Kolovos;Richard F. Paige

  • Example-driven meta-model development

    Jesús J. López-Fernández;Jesús Sánchez Cuadrado;Esther Guerra;Juan Lara

  • Computer Aided Multi-paradigm Modelling to Process Petri-Nets and Statecharts

    Juan de Lara;Hans Vangheluwe

  • Bottom-up meta-modelling: an interactive approach

    Jesús Sánchez-Cuadrado;Juan De Lara;Esther Guerra

  • Choosing a Chatbot Development Tool

    Sara Perez-Soler;Sandra Juarez-Puerta;Esther Guerra;Juan de Lara

  • Analyzing Rule-Based Behavioral Semantics of Visual Modeling Languages with Maude

    José Eduardo Rivera;Esther Guerra;Juan Lara;Antonio Vallecillo

  • A Component Model for Model Transformations

    Jesus Sanchez Cuadrado;Esther Guerra;Juan de Lara

Frequent Co-Authors

Esther Guerra
Esther Guerra Autonomous University of Madrid
Dimitrios S. Kolovos
Dimitrios S. Kolovos University of York
Hartmut Ehrig
Hartmut Ehrig Technical University of Berlin
Gabriele Taentzer
Gabriele Taentzer Philipp University of Marburg
Alfonso Pierantonio
Alfonso Pierantonio University of L'Aquila
Jordi Cabot
Jordi Cabot Institució Catalana de Recerca i Estudis Avançats
Manuel Wimmer
Manuel Wimmer Johannes Kepler University of Linz
Richard F. Paige
Richard F. Paige McMaster University
Davide Di Ruscio
Davide Di Ruscio University of L'Aquila
Dániel Varró
Dániel Varró Linköping University

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