Pradeep Bedi
Impact in
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- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Information Systems top 10%
- Blockchain Technology Applications and Security
Papers in
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- IoT and Edge/Fog Computing 13
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- Blockchain Technology Applications and Security 7
- Internet of Things and AI 3
- Co-authors
- S. B. Goyal (30 shared papers)Anand Singh Rajawat (26 shared papers)Piyush Kumar Shukla (5 shared papers)Manoj Kumar (2 shared papers)Sanjoy Das (2 shared papers)Chaman Verma (8 shared papers)Maria Simona Raboacă (8 shared papers)Sajjad Shaukat Jamal (3 shared papers)
In The Last Decade
Pradeep Bedi
39 papers receiving 332 citations
Peers
Comparison fields: 5 of 83
- Computer Networks and Communications 116
- Information Systems 73
- Industrial and Manufacturing Engineering 24
- Health Informatics 3
- Health Information Management 10
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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 32 | |
| 2 | 2023 | 22 | |
| 3 | 2021 | 22 | |
| 4 | 2023 | 18 | |
| 5 | 2021 | 18 | |
| 6 | 2023 | 17 | |
| 7 | 2021 | 17 | |
| 8 | 2021 | 17 | |
| 9 | 2021 | 15 | |
| 10 | 2022 | 15 | |
| 11 | 2023 | 14 | |
| 12 | 2022 | 12 | |
| 13 | 2024 | 12 | |
| 14 | 2022 | 9 | |
| 15 | 2023 | 8 | |
| 16 | 2020 | 7 | |
| 17 | 2022 | 7 | |
| 18 | 2023 | 6 | |
| 19 | 2023 | 6 | |
| 20 | 2022 | 6 |
About Pradeep Bedi
Pradeep Bedi is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Signal Processing and Biomedical Engineering, having authored 39 papers that have together received 348 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (13 papers), Blockchain Technology Applications and Security (7 papers), Advanced Malware Detection Techniques (5 papers), Molecular Communication and Nanonetworks (4 papers), Digital Transformation in Industry (3 papers), Wireless Body Area Networks (3 papers), Context-Aware Activity Recognition Systems (3 papers) and Internet of Things and AI (3 papers). The work is most often cited by research in Computer Networks and Communications (116 citations), Information Systems (73 citations), Industrial and Manufacturing Engineering (24 citations), Health Informatics (3 citations) and Health Information Management (10 citations). Pradeep Bedi has collaborated with scholars based in India, Malaysia and Romania. Frequent co-authors include S. B. Goyal, Anand Singh Rajawat, Piyush Kumar Shukla, Manoj Kumar, Sanjoy Das, Chaman Verma, Maria Simona Raboacă, Sajjad Shaukat Jamal, Mukesh Prasad and Sachin Goyal. Their work appears in journals such as Transactions on Emerging Telecommunications Technologies, Computational Intelligence and Neuroscience, Future Internet, Electronics and Environmental Science and 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.