Gias Uddin
Impact in
-
- Open Source Software Innovations
- Information Systems top 2%
- Software Engineering Research
- Software Engineering Techniques and Practices
- Web Data Mining and Analysis
Papers in
-
- Software Engineering Research 9
- Web Data Mining and Analysis 4
- Software Engineering Techniques and Practices 1
-
- Advanced Software Engineering Methodologies 4
- Sentiment Analysis and Opinion Mining 2
- Co-authors
- Martin P. Robillard (4 shared papers)Foutse Khomh (6 shared papers)Barthélémy Dagenais (3 shared papers)Chanchal Kumar Roy (1 shared paper)Olga Baysal (1 shared paper)Latifa Guerrouj (1 shared paper)Ashkan Sami (1 shared paper)
- Journals
- IEEE Transactions on Software Engineering (2 papers)IEEE Software (1 paper)Information and Software Technology (1 paper)PolyPublie (École Polytechnique de Montréal) (3 papers)International Conference on Software Engineering (1 paper)
In The Last Decade
Gias Uddin
10 papers receiving 379 citations
Peers
Comparison fields: 5 of 28
- Computer Science Applications 91
- Information Systems 340
- Software 52
- Artificial Intelligence 155
- Health Informatics 6
Countries citing papers authored by Gias Uddin
This map shows the geographic impact of Gias Uddin'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 Gias Uddin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gias Uddin more than expected).
Fields of papers citing papers by Gias Uddin
This network shows the impact of papers produced by Gias Uddin. 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 Gias Uddin. The network helps show where Gias Uddin may publish in the future.
Co-authors
The 7 scholars most cited alongside Gias Uddin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 120 | |
| 2 | 2019 | 50 | |
| 3 | 2017 | 49 | |
| 4 | 2020 | 37 | |
| 5 | 2019 | 31 | |
| 6 | 2012 | 28 | |
| 7 | 2017 | 26 | |
| 8 | 2012 | 22 | |
| 9 | 2011 | 22 | |
| 10 | 2020 | 3 |
About Gias Uddin
Gias Uddin is a scholar working on Information Systems, Artificial Intelligence, Computer Science Applications, Computer Networks and Communications and Signal Processing, having authored 10 papers that have together received 388 indexed citations. Recurring topics across this work include Software Engineering Research (9 papers), Software System Performance and Reliability (4 papers), Advanced Software Engineering Methodologies (4 papers), Web Data Mining and Analysis (4 papers), Advanced Malware Detection Techniques (2 papers), Open Source Software Innovations (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Software Engineering Techniques and Practices (1 paper). The work is most often cited by research in Computer Science Applications (91 citations), Information Systems (340 citations), Software (52 citations), Artificial Intelligence (155 citations) and Health Informatics (6 citations). Gias Uddin has collaborated with scholars based in Canada and Iran. Frequent co-authors include Martin P. Robillard, Foutse Khomh, Barthélémy Dagenais, Chanchal Kumar Roy, Olga Baysal, Latifa Guerrouj and Ashkan Sami. Their work appears in journals such as IEEE Transactions on Software Engineering, IEEE Software, Information and Software Technology, PolyPublie (École Polytechnique de Montréal) and International Conference on Software Engineering.
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.