World's Best Scientists 2026 revealed!
Mario Linares-Vasquez

Mario Linares-Vasquez

D-Index & Metrics

Computer Science

D-Index
41
Citations
5940
World Ranking
8943
National Ranking
3

Mario Linares-Vasquez 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 Mario Linares-Vasquez 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: 94 publications — 7th percentile

7% of scientists in this discipline score the same or lower.

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

Mario Linares-Vasquez 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 Mario Linares-Vasquez 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

Mario Linares-Vasquez is affiliated with the Universidad de Los Andes in Colombia and has contributed significantly to the field of computer science through a diverse research portfolio spanning multiple subfields and topics.

Their primary research areas include:

  • Advanced Malware Detection Techniques
  • Software System Performance and Reliability
  • Mobile and Web Applications
  • Software Engineering Research
  • Software Testing and Debugging Techniques
  • Green IT and Sustainability
  • Big Data and Business Intelligence

Within computer science, Mario has engaged with various subfields such as:

  • Information Systems
  • Signal Processing
  • Computer Networks and Communications
  • Software
  • Artificial Intelligence

Their scholarly output includes notable papers published in respected venues, for example:

  • "Urban Transformations and Health: Methods for TrUST-a Natural Experiment Evaluating the Impacts of a Mass Transit Cable Car in Bogotá, Colombia," 2020, Frontiers in Public Health
  • "Taxonomy of security weaknesses in Java and Kotlin Android apps," 2022, Journal of Systems and Software
  • "NGSEP 4: Efficient and accurate identification of orthogroups and whole-genome alignment," 2022, Molecular Ecology Resources
  • "Investigating types and survivability of performance bugs in mobile apps," 2020, Empirical Software Engineering
  • "Undergraduate Dropout in Colombia: A Systematic Literature Review of Causes and Solutions," 2023, Journal of Latinos and Education

Mario Linares-Vasquez frequently collaborates with several coauthors, including:

  • Camilo Escobar-Velásquez
  • Anamaria Mojica-Hanke
  • Gabriele Bavota
  • Catia Trubiani
  • Steffen Herbold

Major venues where Mario has published work comprise:

  • Zenodo (CERN European Organization for Nuclear Research)
  • arXiv (Cornell University)
  • 2022 IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER)
  • Empirical Software Engineering
  • Science of Computer Programming

Linares-Vasquez's research consistently intersects topics involving software performance, security, and sustainability, contributing to ongoing dialogues in academic and applied contexts within computer science.

Best Publications

  • API change and fault proneness: a threat to the success of Android apps

    Mario Linares-Vásquez;Gabriele Bavota;Carlos Bernal-Cárdenas;Massimiliano Di Penta

  • Mining energy-greedy API usage patterns in Android apps: an empirical study

    Mario Linares-Vásquez;Gabriele Bavota;Carlos Bernal-Cárdenas;Rocco Oliveto

  • Toward deep learning software repositories

    Martin White;Christopher Vendome;Mario Linares-Vasquez;Denys Poshyvanyk

  • Automatically Discovering, Reporting and Reproducing Android Application Crashes

    Kevin Moran;Mario Linares-Vasquez;Carlos Bernal-Cardenas;Christopher Vendome

  • The Impact of API Change- and Fault-Proneness on the User Ratings of Android Apps

    Gabriele Bavota;Mario Linares-Vasquez;Carlos Eduardo Bernal-Cardenas;Massimiliano Di Penta

  • User reviews matter! Tracking crowdsourced reviews to support evolution of successful apps

    Fabio Palomba;Mario Linares-Vasquez;Gabriele Bavota;Rocco Oliveto

  • How do API changes trigger stack overflow discussions? a study on the Android SDK

    Mario Linares-Vásquez;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto

  • On Automatically Generating Commit Messages via Summarization of Source Code Changes

    Luis Fernando Cortés-Coy;Mario Linares-Vásquez;Jairo Aponte;Denys Poshyvanyk

  • Software documentation issues unveiled

    Emad Aghajani;Csaba Nagy;Olga Lucero Vega-Marquez;Mario Linares-Vasquez

  • Triaging incoming change requests: Bug or commit history, or code authorship?

    Mario Linares-Vasquez;Kamal Hossen;Hoang Dang;Huzefa Kagdi

  • Continuous, Evolutionary and Large-Scale: A New Perspective for Automated Mobile App Testing

    Mario Linares-Vasquez;Kevin Moran;Denys Poshyvanyk

  • How do Developers Test Android Applications

    Mario Linares-Vasquez;Carlos Bernal-Cardenas;Kevin Moran;Denys Poshyvanyk

  • On-demand Developer Documentation

    Martin P. Robillard;Andrian Marcus;Christoph Treude;Gabriele Bavota

  • An exploratory analysis of mobile development issues using stack overflow

    Mario Linares-Vasquez;Bogdan Dit;Denys Poshyvanyk

  • Mining Android app usages for generating actionable GUI-based execution scenarios

    Mario Linares-Vasquez;Martin White;Carlos Bernal-Cardenas;Kevin Moran

  • Improving code readability models with textual features

    Simone Scalabrino;Mario Linares-Vasquez;Denys Poshyvanyk;Rocco Oliveto

  • Auto-completing bug reports for Android applications

    Kevin Moran;Mario Linares-Vásquez;Carlos Bernal-Cárdenas;Denys Poshyvanyk

  • On using machine learning to automatically classify software applications into domain categories

    Mario Linares-Vásquez;Collin Mcmillan;Denys Poshyvanyk;Mark Grechanik

  • Automatically assessing code understandability: how far are we?

    Simone Scalabrino;Gabriele Bavota;Christopher Vendome;Mario Linares-Vasquez

  • How developers detect and fix performance bottlenecks in Android apps

    Mario Linares-Vasquez;Christopher Vendome;Qi Luo;Denys Poshyvanyk

  • Optimizing energy consumption of GUIs in Android apps: a multi-objective approach

    Mario Linares-Vásquez;Gabriele Bavota;Carlos Eduardo Bernal Cárdenas;Rocco Oliveto

Frequent Co-Authors

Denys Poshyvanyk
Denys Poshyvanyk William & Mary
Gabriele Bavota
Gabriele Bavota Universita della Svizzera Italiana
Rocco Oliveto
Rocco Oliveto University of Molise
Massimiliano Di Penta
Massimiliano Di Penta University of Sannio
Michele Lanza
Michele Lanza Universita della Svizzera Italiana
Daniel M. German
Daniel M. German University of Victoria
Fabio Palomba
Fabio Palomba University of Salerno
Andrea De Lucia
Andrea De Lucia University of Salerno
Daniel A. Rodriguez
Daniel A. Rodriguez University of California, Berkeley
Abby C. King
Abby C. King Stanford University

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