Pradeep Bedi
Impact in
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- IoT and Edge/Fog Computing
- Energy Efficient Wireless Sensor Networks
- Network Security and Intrusion Detection
- Information Systems top 5%
- Blockchain Technology Applications and Security
- Internet of Things and AI
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
- Co-authors
- Dr S B Goyal (56 shared papers)Anand Singh Rajawat (43 shared papers)Ankush Ghosh (10 shared papers)Rabindra Nath Shaw (10 shared papers)Piyush Kumar Shukla (5 shared papers)Dr. Manoj Kumar (2 shared papers)Sanjoy Das (3 shared papers)Chaman Verma (10 shared papers)
In The Last Decade
Pradeep Bedi
65 papers receiving 713 citations
Peers
Comparison fields: 5 of 97
- Computer Networks and Communications 228
- Information Systems 204
- Health Informatics 11
- Artificial Intelligence 155
- Signal Processing 48
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 72 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 36 | |
| 2 | 2021 | 35 | |
| 3 | 2023 | 33 | |
| 4 | 2022 | 30 | |
| 5 | 2023 | 28 | |
| 6 | 2022 | 28 | |
| 7 | 2021 | 27 | |
| 8 | 2021 | 25 | |
| 9 | 2021 | 24 | |
| 10 | 2021 | 24 | |
| 11 | 2022 | 24 | |
| 12 | 2021 | 22 | |
| 13 | 2023 | 22 | |
| 14 | 2021 | 20 | |
| 15 | 2021 | 20 | |
| 16 | 2021 | 18 | |
| 17 | 2023 | 18 | |
| 18 | 2021 | 17 | |
| 19 | 2022 | 15 | |
| 20 | 2024 | 15 |
About Pradeep Bedi
Pradeep Bedi is a scholar working on Computer Networks and Communications, Information Systems, Computer Vision and Pattern Recognition, Industrial and Manufacturing Engineering and Signal Processing, having authored 72 papers that have together received 733 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), Wireless Body Area Networks (6 papers), Advanced Malware Detection Techniques (6 papers), Molecular Communication and Nanonetworks (6 papers), Energy Efficient Wireless Sensor Networks (3 papers) and Functional Brain Connectivity Studies (3 papers). The work is most often cited by research in Computer Networks and Communications (228 citations), Information Systems (204 citations), Health Informatics (11 citations), Artificial Intelligence (155 citations) and Signal Processing (48 citations). Pradeep Bedi has collaborated with scholars based in India, Malaysia and Romania. Frequent co-authors include Dr S B Goyal, Anand Singh Rajawat, Ankush Ghosh, Rabindra Nath Shaw, Piyush Kumar Shukla, Dr. Manoj Kumar, Sanjoy Das, Chaman Verma, Maria Simona Raboacă and Mukesh Prasad. Their work appears in journals such as Computational Intelligence and Neuroscience, Transactions on Emerging Telecommunications Technologies, Sustainable Energy Technologies and Assessments, Future Internet and Electronics.
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.