2026 Emad Shihab: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	48	6233	6054	247	235	133	8089

Overview

Emad Shihab is affiliated with Concordia University in Canada, focusing on research within the broad field of Computer Science. Their work spans numerous subfields, including Information Systems, Artificial Intelligence, Computer Science Applications, Computer Networks and Communications, and Signal Processing.

The main topics of Emad Shihab's research include Software Engineering Research, AI in Service Interactions, Open Source Software Innovations, Software System Performance and Reliability, Advanced Malware Detection Techniques, Software Engineering Techniques and Practices, and Software Reliability and Analysis Research.

They have contributed to several recent publications that highlight key areas of their work:

"A Comparison of Natural Language Understanding Platforms for Chatbots in Software Engineering," 2021, IEEE Transactions on Software Engineering
"What do Programmers Discuss about Deep Learning Frameworks," 2020, Empirical Software Engineering
"A Machine Learning Approach to Improve the Detection of CI Skip Commits," 2020, IEEE Transactions on Software Engineering
"Empirical analysis of security vulnerabilities in Python packages," 2023, Empirical Software Engineering
"Dependency Smells in JavaScript Projects," 2021, IEEE Transactions on Software Engineering

Frequent collaborators in Emad Shihab's research include:

Diego Elias Costa
Rabe Abdalkareem
Ahmad Abdellatif
Khaled Badran
Suhaib Mujahid

Their research has been published across multiple venues, notably:

Zenodo (CERN European Organization for Nuclear Research)
arXiv (Cornell University)
IEEE Transactions on Software Engineering
Empirical Software Engineering
OPAL (Open@LaTrobe) (La Trobe University)

Best Publications

A large-scale empirical study of just-in-time quality assurance

Y. Kamei;E. Shihab;B. Adams;A. E. Hassan

755
Citations
What Do Mobile App Users Complain About

Hammad Khalid;Emad Shihab;Meiyappan Nagappan;Ahmed E. Hassan

493
Citations
What are mobile developers asking about? A large scale study using stack overflow

Christoffer Rosen;Emad Shihab

344
Citations
An Exploratory Study on Self-Admitted Technical Debt

Aniket Potdar;Emad Shihab

311
Citations
Using Natural Language Processing to Automatically Detect Self-Admitted Technical Debt

Everton da Silva Maldonado;Emad Shihab;Nikolaos Tsantalis

220
Citations
Identifying self-admitted technical debt in open source projects using text mining

Qiao Huang;Emad Shihab;Xin Xia;Xin Xia;David Lo

186
Citations
Why do developers use trivial packages? an empirical case study on npm

Rabe Abdalkareem;Olivier Nourry;Sultan Wehaibi;Suhaib Mujahid

174
Citations
Studying re-opened bugs in open source software

Emad Shihab;Akinori Ihara;Yasutaka Kamei;Walid M. Ibrahim

168
Citations
An industrial study on the risk of software changes

Emad Shihab;Ahmed E. Hassan;Bram Adams;Zhen Ming Jiang

166
Citations
Detecting and quantifying different types of self-admitted technical Debt

Everton da S. Maldonado;Emad Shihab

155
Citations
Commit guru: analytics and risk prediction of software commits

Christoffer Rosen;Ben Grawi;Emad Shihab

153
Citations
Future Trends in Software Engineering Research for Mobile Apps

Meiyappan Nagappan;Emad Shihab

151
Citations
Predicting Re-opened Bugs: A Case Study on the Eclipse Project

Emad Shihab;Akinori Ihara;Yasutaka Kamei;Walid M. Ibrahim

146
Citations
Defect Prediction: Accomplishments and Future Challenges

Yasutaka Kamei;Emad Shihab

140
Citations
Characterizing and predicting blocking bugs in open source projects

Harold Valdivia Garcia;Emad Shihab

140
Citations
Examining the Impact of Self-Admitted Technical Debt on Software Quality

Sultan Wehaibi;Emad Shihab;Latifa Guerrouj

132
Citations
Understanding the impact of code and process metrics on post-release defects: a case study on the Eclipse project

Emad Shihab;Zhen Ming Jiang;Walid M. Ibrahim;Bram Adams

127
Citations
High-impact defects: a study of breakage and surprise defects

Emad Shihab;Audris Mockus;Yasutaka Kamei;Bram Adams

126
Citations
On code reuse from StackOverflow

Rabe Abdalkareem;Emad Shihab;Juergen Rilling

124
Citations
A Quantitative Comparison of Overlapping and Non-Overlapping Sliding Windows for Human Activity Recognition Using Inertial Sensors.

Akbar Dehghani;Omid Sarbishei;Tristan Glatard;Emad Shihab

118
Citations
Prioritizing the devices to test your app on: a case study of Android game apps

Hammad Khalid;Meiyappan Nagappan;Emad Shihab;Ahmed E. Hassan

118
Citations

Frequent Co-Authors

Ahmed E. Hassan Queen's University

Xin Xia Huawei Technologies (China)

Bram Adams Queen's University

David Lo Singapore Management University

Yasutaka Kamei Kyushu University

Zhen Ming Jiang York University

Meiyappan Nagappan University of Waterloo

Weiyi Shang University of Waterloo

Lin Cai Illinois Institute of Technology

Jianping Pan University of Victoria

External Links

Personal website of Emad Shihab Google Scholar page

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