D-Index & Metrics Best Publications
Research.com 2022 Rising Star of Science Award Badge

D-Index & Metrics

Discipline name D-index D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines. Citations Publications World Ranking National Ranking
Computer Science D-index 33 Citations 4,189 76 World Ranking 6951 National Ranking 3
Rising Stars D-index 33 Citations 4,194 86 World Ranking 938 National Ranking 2

Research.com Recognitions

Awards & Achievements

2022 - Research.com Rising Star of Science Award

Overview

What is he best known for?

The fields of study he is best known for:

  • Software
  • Operating system
  • Programming language

His primary areas of study are Android, World Wide Web, Source code, Software and Empirical research. The Android study combines topics in areas such as Graphical user interface, Humanoid robot and User experience design. Mario Linares-Vasquez focuses mostly in the field of World Wide Web, narrowing it down to matters related to Software bug and, in some cases, Software maintenance and Software repository.

The various areas that Mario Linares-Vasquez examines in his Source code study include Commit and Code. Mario Linares-Vasquez has included themes like Social media, Mobile development and Mobile programming in his Software study. In general Software development, his work in Software framework is often linked to Context model linking many areas of study.

His most cited work include:

  • API change and fault proneness: a threat to the success of Android apps (213 citations)
  • Toward deep learning software repositories (180 citations)
  • Mining energy-greedy API usage patterns in Android apps: an empirical study (155 citations)

What are the main themes of his work throughout his whole career to date?

Mario Linares-Vasquez mostly deals with Android, Software, Empirical research, World Wide Web and Software engineering. His studies in Android integrate themes in fields like Computer security, Mobile device and Human–computer interaction. The concepts of his Software study are interwoven with issues in Code and Source code.

His Source code research includes elements of Java, Commit, Information retrieval and Artificial intelligence. His studies deal with areas such as User experience design and Open source as well as World Wide Web. His Software engineering study combines topics from a wide range of disciplines, such as Language model, Data-driven, Software maintenance and Client-side.

He most often published in these fields:

  • Android (52.69%)
  • Software (35.48%)
  • Empirical research (33.33%)

What were the highlights of his more recent work (between 2019-2021)?

  • Android (52.69%)
  • Empirical research (33.33%)
  • World Wide Web (32.26%)

In recent papers he was focusing on the following fields of study:

His main research concerns Android, Empirical research, World Wide Web, Software engineering and Mobile apps. His Android research integrates issues from Test suite and Source code. In his research, Mario Linares-Vasquez performs multidisciplinary study on Empirical research and Software.

His work on Software metric as part of general Software research is frequently linked to Quality, thereby connecting diverse disciplines of science. His World Wide Web study integrates concerns from other disciplines, such as Exploit and User experience design. His Software engineering research is multidisciplinary, incorporating perspectives in Client-side and Data-driven.

Between 2019 and 2021, his most popular works were:

  • Automatically Assessing Code Understandability (10 citations)
  • Software documentation: the practitioners' perspective (4 citations)
  • Automated Documentation of Android Apps (4 citations)

In his most recent research, the most cited papers focused on:

  • Software
  • Operating system
  • Programming language

His primary areas of investigation include Documentation, Empirical research, Software, Quality and Source code. His work deals with themes such as Software documentation, Recommender system, Data science and Asset, which intersect with Documentation. His Empirical research research spans across into fields like Software engineering, Code, Software metric, Metric and Software bug.

He specializes in Software, namely Software measurement. His Source code research includes themes of Java, Android, World Wide Web and Program comprehension. World Wide Web is often connected to Knowledge-based systems in his work.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

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.
foundations of software engineering (2013)

279 Citations

Toward deep learning software repositories

Martin White;Christopher Vendome;Mario Linares-Vasquez;Denys Poshyvanyk.
mining software repositories (2015)

257 Citations

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

Mario Linares-Vásquez;Gabriele Bavota;Carlos Bernal-Cárdenas;Rocco Oliveto.
mining software repositories (2014)

240 Citations

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.
IEEE Transactions on Software Engineering (2015)

183 Citations

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

Fabio Palomba;Mario Linares-Vasquez;Gabriele Bavota;Rocco Oliveto.
international conference on software maintenance (2015)

154 Citations

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

Mario Linares-Vásquez;Gabriele Bavota;Massimiliano Di Penta;Rocco Oliveto.
international conference on program comprehension (2014)

152 Citations

Automatically Discovering, Reporting and Reproducing Android Application Crashes

Kevin Moran;Mario Linares-Vasquez;Carlos Bernal-Cardenas;Christopher Vendome.
international conference on software testing verification and validation (2016)

150 Citations

On Automatically Generating Commit Messages via Summarization of Source Code Changes

Luis Fernando Cortés-Coy;Mario Linares-Vásquez;Jairo Aponte;Denys Poshyvanyk.
source code analysis and manipulation (2014)

139 Citations

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

Mario Linares-Vasquez;Kamal Hossen;Hoang Dang;Huzefa Kagdi.
international conference on software maintenance (2012)

137 Citations

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

Mario Linares-Vasquez;Kevin Moran;Denys Poshyvanyk.
international conference on software maintenance (2017)

116 Citations

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Best Scientists Citing Mario Linares-Vasquez

David Lo

David Lo

Singapore Management University

Publications: 60

Denys Poshyvanyk

Denys Poshyvanyk

William & Mary

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Xin Xia

Xin Xia

Monash University

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Tegawendé F. Bissyandé

Tegawendé F. Bissyandé

University of Luxembourg

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Foutse Khomh

Foutse Khomh

Polytechnique Montréal

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Jacques Klein

Jacques Klein

University of Luxembourg

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Gabriele Bavota

Gabriele Bavota

Universita della Svizzera Italiana

Publications: 24

Fabio Palomba

Fabio Palomba

University of Salerno

Publications: 21

Ahmed E. Hassan

Ahmed E. Hassan

Queen's University

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Harald C. Gall

Harald C. Gall

University of Zurich

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Yang Liu

Yang Liu

Nanyang Technological University

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Mark Harman

Mark Harman

University College London

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John Grundy

John Grundy

Monash University

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Chanchal K. Roy

Chanchal K. Roy

University of Saskatchewan

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Abram Hindle

Abram Hindle

University of Alberta

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Zhenchang Xing

Zhenchang Xing

Australian National University

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