Subhash Sagar
Impact in
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- IoT and Edge/Fog Computing
- Network Security and Intrusion Detection
- Information Systems top 10%
- Blockchain Technology Applications and Security
- Cloud Data Security Solutions
Papers in
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- IoT and Edge/Fog Computing 9
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- Blockchain Technology Applications and Security 6
- Cloud Data Security Solutions 3
- Co-authors
- Quan Z. Sheng (12 shared papers)Adnan Mahmood (11 shared papers)Wei Emma Zhang (8 shared papers)Amit Banerjee (2 shared papers)Ahoud Alhazmi (1 shared paper)Congbo Ma (1 shared paper)Kai Wang (1 shared paper)Nadeem Javaid (1 shared paper)
In The Last Decade
Subhash Sagar
16 papers receiving 198 citations
Peers
Comparison fields: 5 of 47
- Computer Networks and Communications 118
- Information Systems 80
- Artificial Intelligence 59
- General Dentistry 2
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by Subhash Sagar
This map shows the geographic impact of Subhash Sagar'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 Subhash Sagar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Subhash Sagar more than expected).
Fields of papers citing papers by Subhash Sagar
This network shows the impact of papers produced by Subhash Sagar. 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 Subhash Sagar. The network helps show where Subhash Sagar may publish in the future.
Co-authors
The 23 scholars most cited alongside Subhash Sagar, 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 | 2020 | 34 | |
| 2 | 2020 | 33 | |
| 3 | 2023 | 20 | |
| 4 | 2019 | 20 | |
| 5 | 2018 | 18 | |
| 6 | 2020 | 17 | |
| 7 | 2021 | 15 | |
| 8 | 2024 | 13 | |
| 9 | 2023 | 10 | |
| 10 | 2011 | 8 | |
| 11 | 2023 | 5 | |
| 12 | 2023 | 5 | |
| 13 | 2024 | 3 | |
| 14 | 2020 | 3 | |
| 15 | 2023 | 3 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 0 |
About Subhash Sagar
Subhash Sagar is a scholar working on Computer Networks and Communications, Information Systems, Artificial Intelligence, Electrical and Electronic Engineering and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 208 indexed citations. Recurring topics across this work include IoT and Edge/Fog Computing (9 papers), Blockchain Technology Applications and Security (6 papers), Privacy-Preserving Technologies in Data (6 papers), Cloud Data Security Solutions (3 papers), Vehicular Ad Hoc Networks (VANETs) (3 papers), Context-Aware Activity Recognition Systems (2 papers), Hand Gesture Recognition Systems (1 paper) and Wireless Communication Security Techniques (1 paper). The work is most often cited by research in Computer Networks and Communications (118 citations), Information Systems (80 citations), Artificial Intelligence (59 citations), General Dentistry (2 citations) and Computer Vision and Pattern Recognition (21 citations). Subhash Sagar has collaborated with scholars based in Australia, India and Spain. Frequent co-authors include Quan Z. Sheng, Adnan Mahmood, Wei Emma Zhang, Amit Banerjee, Ahoud Alhazmi, Congbo Ma, Kai Wang, Nadeem Javaid, Hajime Suzuki and Wei Ni. Their work appears in journals such as IEEE Transactions on Network and Service Management, ACM Transactions on Cyber-Physical Systems, Computer Networks, IEEE Access and Journal of Informetrics.
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.