Subrota Kumar Mondal
- Artificial Intelligence top 5%
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Computer Vision and Pattern Recognition top 10%
- Management Science and Operations Research top 10%
- Co-authors
- Ting WangJyoti Prakash SahooH M Dipu KabirHong‐Ning DaiJunhao ZhouHao WangKing-Hang WangJogesh K. Muppala
- Topics
- Cloud Computing and Resource Management (13 papers)IoT and Edge/Fog Computing (6 papers)Distributed systems and fault tolerance (4 papers)
In The Last Decade
Subrota Kumar Mondal
31 papers receiving 642 citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Artificial Intelligence 258
- Information Systems 188
- Computer Networks and Communications 124
- Computer Vision and Pattern Recognition 117
- Management Science and Operations Research 66
Countries citing papers authored by Subrota Kumar Mondal
This map shows the geographic impact of Subrota Kumar Mondal'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 Subrota Kumar Mondal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subrota Kumar Mondal more than expected).
Fields of papers citing papers by Subrota Kumar Mondal
This network shows the impact of papers produced by Subrota Kumar Mondal. 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 Subrota Kumar Mondal. The network helps show where Subrota Kumar Mondal may publish in the future.
Co-authorship network of co-authors of Subrota Kumar Mondal
This figure shows the co-authorship network connecting the top 25 collaborators of Subrota Kumar Mondal. A scholar is included among the top collaborators of Subrota Kumar Mondal 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 Subrota Kumar Mondal. Subrota Kumar Mondal 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 | 0 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 0 | |
| 6 | 5 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 16 | |
| 10 | 2 | |
| 11 | 7 | |
| 12 | 70 | |
| 13 | 10 | |
| 14 | 12 | |
| 15 | 4 | |
| 16 | 5 | |
| 17 | 1 | |
| 18 | 4 | |
| 19 | 2 | |
| 20 | Towards Establishing Trust in Public Clouds through Real-time Client Feedback | 1 |
About Subrota Kumar Mondal
Subrota Kumar Mondal is a scholar working on Information Systems, Health Informatics and Computer Networks and Communications, having authored 34 papers that have together received 664 indexed citations. Recurring topics across this work include Cloud Computing and Resource Management (13 papers), IoT and Edge/Fog Computing (6 papers) and Distributed systems and fault tolerance (4 papers). The work is most often cited by research in Information Systems (188 citations), Artificial Intelligence (258 citations) and Software (23 citations). Subrota Kumar Mondal has collaborated with scholars based in Macao, Hong Kong and Australia. Frequent co-authors include Ting Wang, Jyoti Prakash Sahoo, H M Dipu Kabir, Hong‐Ning Dai, Junhao Zhou, Hao Wang, King-Hang Wang, Jogesh K. Muppala, Saeid Nahavandi and Abbas Khosravi. Their work appears in journals such as Expert Systems with Applications, ACM Computing Surveys and Applied Soft Computing.
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.