Anupam Kumar Bairagi
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- Artificial Intelligence in Healthcare 6
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- IoT and Edge/Fog Computing 12
- Wireless Networks and Protocols 7
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- COVID-19 diagnosis using AI 7
- Health Informatics top 5%
- Artificial Intelligence top 2%
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- Advanced MIMO Systems Optimization 10
- Advanced Wireless Network Optimization 8
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- Blockchain Technology Applications and Security 8
- Cloud Computing and Resource Management 6
- Co-authors
- Mehedi MasudChoong Seon HongNguyen H. TranNiloy SikderAbdullah-Al NahidMadyan AlsenwiMehdi BennisMohammed A. AlZain
- Cited by
- Health Information ManagementComputer Networks and CommunicationsRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterología (6 papers)PLoS ONE (1 paper)Scientific Reports (1 paper)
- Partner nations
- BangladeshSouth KoreaSaudi Arabia
In The Last Decade
Anupam Kumar Bairagi
66 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 127
- Health Information Management 153
- Computer Networks and Communications 600
- Radiology, Nuclear Medicine and Imaging 427
- Health Informatics 24
- Artificial Intelligence 539
Countries citing papers authored by Anupam Kumar Bairagi
This map shows the geographic impact of Anupam Kumar Bairagi'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 Anupam Kumar Bairagi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anupam Kumar Bairagi more than expected).
Fields of papers citing papers by Anupam Kumar Bairagi
This network shows the impact of papers produced by Anupam Kumar Bairagi. 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 Anupam Kumar Bairagi. The network helps show where Anupam Kumar Bairagi may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Anupam Kumar Bairagi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 3 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 42 | |
| 7 | 2023 | 11 | |
| 8 | 2023 | 6 | |
| 9 | 2023 | 10 | |
| 10 | 2023 | 1 | |
| 11 | 2023 | 9 | |
| 12 | 2023 | 28 | |
| 13 | 2022 | 2 | |
| 14 | Intelligent resource slicing for eMBB and URLLC coexistence in 5G and beyond:a deep reinforcement learning based approachbreakdown → | 2021 | 223 |
| 15 | 2021 | 10 | |
| 16 | 2018 | 12 | |
| 17 | 2018 | 5 | |
| 18 | Deep Learning based Emotion Recognition through Biosensor Observations | 2016 | 3 |
| 19 | Process Migration Using Docker Container in SDN Environment | 2016 | 1 |
| 20 | Distributed Reinforcement Learning based Code Offloading in Mobile Fog | 2014 | 1 |
About Anupam Kumar Bairagi
Anupam Kumar Bairagi is a scholar working on Health Information Management, Computer Networks and Communications and Modeling and Simulation, having authored 70 papers that have together received 2.0k indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (12 papers), Advanced MIMO Systems Optimization (10 papers), Blockchain Technology Applications and Security (8 papers), Advanced Wireless Network Optimization (8 papers), Wireless Networks and Protocols (7 papers), COVID-19 diagnosis using AI (7 papers), Artificial Intelligence in Healthcare (6 papers) and Cloud Computing and Resource Management (6 papers). The work is most often cited by research in Health Information Management (153 citations), Computer Networks and Communications (600 citations) and Radiology, Nuclear Medicine and Imaging (427 citations). Anupam Kumar Bairagi has collaborated with scholars based in Bangladesh, South Korea and Saudi Arabia. Frequent co-authors include Mehedi Masud, Choong Seon Hong, Nguyen H. Tran, Niloy Sikder, Abdullah-Al Nahid, Madyan Alsenwi, Mehdi Bennis, Mohammed A. AlZain, Shashi Raj Pandey and Saydul Akbar Murad. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.
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.