Pradeep Bedi
Impact in
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- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Health Informatics top 10%
Papers in
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- IoT and Edge/Fog Computing 21
- Energy Efficient Wireless Sensor Networks 3
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- Blockchain Technology Applications and Security 17
- Internet of Things and AI 4
- Co-authors
- S. B. Goyal (57 shared papers)Anand Singh Rajawat (42 shared papers)Ankush Ghosh (10 shared papers)Rabindra Nath Shaw (10 shared papers)Piyush Kumar Shukla (5 shared papers)Manoj Kumar (2 shared papers)Chaman Verma (10 shared papers)Sanjoy Das (3 shared papers)
In The Last Decade
Pradeep Bedi
66 papers receiving 695 citations
Peers
Comparison fields: 5 of 96
- Computer Networks and Communications 226
- Health Informatics 12
- Information Systems 202
- Artificial Intelligence 152
- Health Information Management 19
Countries citing papers authored by Pradeep Bedi
This map shows the geographic impact of Pradeep Bedi'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 Pradeep Bedi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pradeep Bedi more than expected).
Fields of papers citing papers by Pradeep Bedi
This network shows the impact of papers produced by Pradeep Bedi. 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 Pradeep Bedi. The network helps show where Pradeep Bedi may publish in the future.
Co-authors
The 25 scholars most cited alongside Pradeep Bedi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 73 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 35 | |
| 2 | 2022 | 34 | |
| 3 | 2023 | 31 | |
| 4 | 2022 | 30 | |
| 5 | 2022 | 28 | |
| 6 | 2021 | 27 | |
| 7 | 2021 | 24 | |
| 8 | 2021 | 24 | |
| 9 | 2021 | 23 | |
| 10 | 2023 | 23 | |
| 11 | 2021 | 22 | |
| 12 | 2022 | 22 | |
| 13 | 2021 | 20 | |
| 14 | 2023 | 20 | |
| 15 | 2021 | 19 | |
| 16 | 2021 | 18 | |
| 17 | 2021 | 17 | |
| 18 | 2023 | 17 | |
| 19 | 2022 | 15 | |
| 20 | 2022 | 13 |
About Pradeep Bedi
Pradeep Bedi is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Artificial Intelligence and Biomedical Engineering, having authored 73 papers that have together received 717 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (21 papers), Blockchain Technology Applications and Security (17 papers), Digital Transformation in Industry (7 papers), Molecular Communication and Nanonetworks (6 papers), Wireless Body Area Networks (6 papers), Advanced Malware Detection Techniques (6 papers), Internet of Things and AI (4 papers) and Energy Efficient Wireless Sensor Networks (3 papers). The work is most often cited by research in Computer Networks and Communications (226 citations), Health Informatics (12 citations), Information Systems (202 citations), Artificial Intelligence (152 citations) and Health Information Management (19 citations). Pradeep Bedi has collaborated with scholars based in India, Malaysia and Romania. Frequent co-authors include S. B. Goyal, Anand Singh Rajawat, Ankush Ghosh, Rabindra Nath Shaw, Piyush Kumar Shukla, Manoj Kumar, Chaman Verma, Sanjoy Das, Maria Simona Raboacă and Sachin Goyal. Their work appears in journals such as Computational Intelligence and Neuroscience, Transactions on Emerging Telecommunications Technologies, IET Wireless Sensor Systems, Electronics and Sustainable Energy Technologies and Assessments.
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.