Milon Biswas
- Information Systems top 5%
- Computer Networks and Communications top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition top 10%
- Artificial Intelligence
- Co-authors
- Md. Julkar Nayeen MahiShamim AhmedLoveleen GaurM. Shamim KaiserKC SantoshFayadh AleneziMd WhaiduzzamanAlistair Barros
- Topics
- Blockchain Technology Applications and Security (11 papers)IoT and Edge/Fog Computing (8 papers)COVID-19 diagnosis using AI (6 papers)
- Partner nations
- BangladeshUnited StatesAustralia
In The Last Decade
Milon Biswas
44 papers receiving 515 citations
Peers
Comparison fields: 5 of 92
- Information Systems 138
- Computer Networks and Communications 123
- Electrical and Electronic Engineering 100
- Computer Vision and Pattern Recognition 96
- Artificial Intelligence 91
Countries citing papers authored by Milon Biswas
This map shows the geographic impact of Milon Biswas'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 Milon Biswas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Milon Biswas more than expected).
Fields of papers citing papers by Milon Biswas
This network shows the impact of papers produced by Milon Biswas. 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 Milon Biswas. The network helps show where Milon Biswas may publish in the future.
Co-authorship network of co-authors of Milon Biswas
This figure shows the co-authorship network connecting the top 25 collaborators of Milon Biswas. A scholar is included among the top collaborators of Milon Biswas 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 Milon Biswas. Milon Biswas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 8 | |
| 5 | 5 | |
| 6 | 59 | |
| 7 | 17 | |
| 8 | 6 | |
| 9 | 2 | |
| 10 | 12 | |
| 11 | 2 | |
| 12 | 38 | |
| 13 | 5 | |
| 14 | 6 | |
| 15 | 15 | |
| 16 | 11 | |
| 17 | 22 | |
| 18 | 25 | |
| 19 | 11 | |
| 20 | Comparison of sputum induction with broncho-alveolar lavage in the diagnosis of smear-negative pulmonary tuberculosis. | 12 |
About Milon Biswas
Milon Biswas is a scholar working on Health Information Management, Information Systems and Computer Networks and Communications, having authored 45 papers that have together received 539 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (11 papers), IoT and Edge/Fog Computing (8 papers) and COVID-19 diagnosis using AI (6 papers). The work is most often cited by research in Health Informatics (16 citations), Information Systems (138 citations) and Computer Networks and Communications (123 citations). Milon Biswas has collaborated with scholars based in Bangladesh, United States and Australia. Frequent co-authors include Md. Julkar Nayeen Mahi, Shamim Ahmed, Loveleen Gaur, M. Shamim Kaiser, KC Santosh, Fayadh Alenezi, Md Whaiduzzaman, Alistair Barros, Mehdi Sookhak and Mufti Mahmud. Their work appears in journals such as PLoS ONE, Expert Systems with Applications and IEEE Access.
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.