Subhajit Datta
- Information Systems top 5%
- Health, Toxicology and Mutagenesis top 5%
- Artificial Intelligence top 10%
- Computer Science Applications top 5%
- Pollution
- Co-authors
- Robbert JongelingAlexander SerebrenikReshmi DasXianfeng WangBahareh KhezriRichard D. WebsterPradip K. SikdarBikram Sengupta
- Topics
- Software Engineering Research (22 papers)Open Source Software Innovations (16 papers)Software Engineering Techniques and Practices (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaEmpirical Software EngineeringAtmospheric Pollution Research
- Partner nations
- SingaporeIndiaUnited States
In The Last Decade
Subhajit Datta
28 papers receiving 512 citations
Peers
Comparison fields: 5 of 89
- Information Systems 218
- Health, Toxicology and Mutagenesis 186
- Artificial Intelligence 133
- Computer Science Applications 95
- Pollution 58
Countries citing papers authored by Subhajit Datta
This map shows the geographic impact of Subhajit Datta'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 Subhajit Datta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhajit Datta more than expected).
Fields of papers citing papers by Subhajit Datta
This network shows the impact of papers produced by Subhajit Datta. 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 Subhajit Datta. The network helps show where Subhajit Datta may publish in the future.
Co-authorship network of co-authors of Subhajit Datta
This figure shows the co-authorship network connecting the top 25 collaborators of Subhajit Datta. A scholar is included among the top collaborators of Subhajit Datta 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 Subhajit Datta. Subhajit Datta 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 | 1 | |
| 3 | 19 | |
| 4 | 11 | |
| 5 | 6 | |
| 6 | 9 | |
| 7 | 160 | |
| 8 | 13 | |
| 9 | Inferring the untold: Mining software engineering research publication networks | 2 |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 6 | |
| 14 | 11 | |
| 15 | 18 | |
| 16 | Metrics and techniques to guide software development | 1 |
| 17 | 1 | |
| 18 | 2 | |
| 19 | 1 | |
| 20 | Rhinosporidium seeberi-its cultivation and identity. | 3 |
About Subhajit Datta
Subhajit Datta is a scholar working on Computer Science Applications, Information Systems and Information Systems and Management, having authored 33 papers that have together received 535 indexed citations. Recurring topics across this work include Software Engineering Research (22 papers), Open Source Software Innovations (16 papers) and Software Engineering Techniques and Practices (13 papers). The work is most often cited by research in Computer Science Applications (95 citations), Health, Toxicology and Mutagenesis (186 citations) and Information Systems (218 citations). Subhajit Datta has collaborated with scholars based in Singapore, India and United States. Frequent co-authors include Robbert Jongeling, Alexander Serebrenik, Reshmi Das, Xianfeng Wang, Bahareh Khezri, Richard D. Webster, Pradip K. Sikdar, Bikram Sengupta, Renuka Sindhgatta and Patrick Wagstrom. Their work appears in journals such as SHILAP Revista de lepidopterología, Empirical Software Engineering and Atmospheric Pollution Research.
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.