Gias Uddin
Impact in
- Software top 10%
- Information Systems top 2%
- Software Engineering Research
- Spam and Phishing Detection
- Software Engineering Techniques and Practices
Papers in
-
- Software Engineering Research 25
- Software Engineering Techniques and Practices 8
-
- Topic Modeling 5
- Co-authors
- Junaed Younus Khan (5 shared papers)Anindya Iqbal (9 shared papers)Sadia Afroz (2 shared papers)Foutse Khomh (6 shared papers)Chanchal K. Roy (6 shared papers)Rifat Shahriyar (3 shared papers)Omar Alam (2 shared papers)Mohammed Abdou Janati Idrissi (1 shared paper)
- Journals
- Empirical Software Engineering (5 papers)ACM Transactions on Software Engineering and Methodology (4 papers)Information and Software Technology (4 papers)Journal of Systems and Software (2 papers)Journal of Applied Pharmaceutical Science (1 paper)
- Partner nations
- CanadaBangladeshUnited States
In The Last Decade
Gias Uddin
35 papers receiving 441 citations
Gias Uddin's Hit Papers
Peers
Comparison fields: 5 of 72
- Software 53
- Information Systems 306
- Computer Science Applications 39
- Health Informatics 9
- Signal Processing 71
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 25 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
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A benchmark study of machine learning models for online fake news detection Hit paper breakdown → | 2021 | 137 |
| 2 | 2022 | 48 | |
| 3 | 2019 | 36 | |
| 4 | 2022 | 28 | |
| 5 | 2021 | 26 | |
| 6 | 2022 | 23 | |
| 7 | 2021 | 19 | |
| 8 | 2022 | 16 | |
| 9 | 2019 | 12 | |
| 10 | 2021 | 12 | |
| 11 | 2022 | 11 | |
| 12 | 2023 | 11 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 7 | |
| 15 | 2024 | 7 | |
| 16 | 2022 | 7 | |
| 17 | 2024 | 5 | |
| 18 | 2022 | 5 | |
| 19 | 2022 | 4 | |
| 20 | 2015 | 4 |
About Gias Uddin
Gias Uddin is a scholar working on Information Systems, Artificial Intelligence, Computer Science Applications, Computer Networks and Communications and Software, having authored 39 papers that have together received 459 indexed citations. Recurring topics across this work include Software Engineering Research (25 papers), Open Source Software Innovations (8 papers), Software Engineering Techniques and Practices (8 papers), Topic Modeling (5 papers), Software Testing and Debugging Techniques (4 papers), Software Reliability and Analysis Research (4 papers), Software System Performance and Reliability (4 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Software (53 citations), Information Systems (306 citations), Computer Science Applications (39 citations), Health Informatics (9 citations) and Signal Processing (71 citations). Gias Uddin has collaborated with scholars based in Canada, Bangladesh and United States. Frequent co-authors include Junaed Younus Khan, Anindya Iqbal, Sadia Afroz, Foutse Khomh, Chanchal K. Roy, Rifat Shahriyar, Omar Alam, Mohammed Abdou Janati Idrissi, Partha Chakraborty and Shaiful Chowdhury. Their work appears in journals such as Empirical Software Engineering, ACM Transactions on Software Engineering and Methodology, Information and Software Technology, Journal of Systems and Software and Journal of Applied Pharmaceutical Science.
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.