Emad Shihab
- Information Systems top 0.05%
- Software top 0.1%
- Computer Networks and Communications top 0.5%
- Artificial Intelligence top 1%
- Computer Science Applications top 0.2%
- Co-authors
- Ahmed E. HassanYasutaka KameiBram AdamsRabe AbdalkareemMeiyappan NagappanXin XiaDavid LoDiego Elias Costa
- Topics
- Software Engineering Research (100 papers)Software Reliability and Analysis Research (44 papers)Software System Performance and Reliability (40 papers)
- Partner nations
- CanadaUnited StatesSingapore
In The Last Decade
Emad Shihab
129 papers receiving 4.9k citations
Hit Papers
Peers
Comparison fields: 5 of 119
- Information Systems 4.1k
- Software 2.2k
- Computer Networks and Communications 1.4k
- Artificial Intelligence 961
- Computer Science Applications 792
Countries citing papers authored by Emad Shihab
This map shows the geographic impact of Emad Shihab's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Emad Shihab with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Emad Shihab more than expected).
Fields of papers citing papers by Emad Shihab
This network shows the impact of papers produced by Emad Shihab. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Emad Shihab. The network helps show where Emad Shihab may publish in the future.
Co-authorship network of co-authors of Emad Shihab
This figure shows the co-authorship network connecting the top 25 collaborators of Emad Shihab. A scholar is included among the top collaborators of Emad Shihab based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Emad Shihab. Emad Shihab is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 1 | |
| 4 | 10 | |
| 5 | 4 | |
| 6 | 30 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 11 | |
| 10 | 34 | |
| 11 | 52 | |
| 12 | 6 | |
| 13 | 27 | |
| 14 | 2 | |
| 15 | 42 | |
| 16 | What are mobile developers asking about? A large scale study using stack overflowbreakdown → | 217 |
| 17 | Challenges in mobile apps: a multi-disciplinary perspective | 2 |
| 18 | 21 | |
| 19 | 79 | |
| 20 | 5 |
About Emad Shihab
Emad Shihab is a scholar working on Software, Information Systems and Computer Science Applications, having authored 133 papers that have together received 5.0k indexed citations. Recurring topics across this work include Software Engineering Research (100 papers), Software Reliability and Analysis Research (44 papers) and Software System Performance and Reliability (40 papers). The work is most often cited by research in Software (2.2k citations), Information Systems (4.1k citations) and Computer Science Applications (792 citations). Emad Shihab has collaborated with scholars based in Canada, United States and Singapore. Frequent co-authors include Ahmed E. Hassan, Yasutaka Kamei, Bram Adams, Rabe Abdalkareem, Meiyappan Nagappan, Xin Xia, David Lo, Diego Elias Costa, Hammad Khalid and Suhaib Mujahid. Their work appears in journals such as Sensors, IEEE Transactions on Software Engineering and IEEE Transactions on Vehicular Technology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.