Gias Uddin
- Information Systems top 2%
- Artificial Intelligence top 5%
- Sociology and Political Science top 10%
- Signal Processing top 10%
- Computer Networks and Communications
- Co-authors
- Junaed Younus KhanAnindya IqbalSadia AfrozFoutse KhomhChanchal K. RoyRifat ShahriyarOmar AlamMohammed Abdou Janati Idrissi
- Topics
- Software Engineering Research (25 papers)Open Source Software Innovations (8 papers)Software Engineering Techniques and Practices (8 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Systems and SoftwareInformation and Software Technology
- Partner nations
- CanadaBangladeshUnited States
In The Last Decade
Gias Uddin
35 papers receiving 441 citations
Hit Papers
Peers
Comparison fields: 5 of 72
- Information Systems 306
- Artificial Intelligence 206
- Sociology and Political Science 130
- Signal Processing 71
- Computer Networks and Communications 59
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-authorship network of co-authors of Gias Uddin
This figure shows the co-authorship network connecting the top 25 collaborators of Gias Uddin. A scholar is included among the top collaborators of Gias Uddin 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 Gias Uddin. Gias Uddin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 5 | |
| 6 | 7 | |
| 7 | 3 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 7 | |
| 11 | 9 | |
| 12 | 4 | |
| 13 | 48 | |
| 14 | 0 | |
| 15 | A benchmark study of machine learning models for online fake news detectionbreakdown → | 137 |
| 16 | 19 | |
| 17 | 26 | |
| 18 | 1 | |
| 19 | 12 | |
| 20 | 1 |
About Gias Uddin
Gias Uddin is a scholar working on Computer Science Applications, Software and Information Systems, 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) and Software Engineering Techniques and Practices (8 papers). The work is most often cited by research in Software (53 citations), Information Systems (306 citations) and Computer Science Applications (39 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, Akond Rahman and Mohammad Masum. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Systems and Software and Information and Software 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.