Keshav Sood
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- Software-Defined Networks and 5G 18
- Network Security and Intrusion Detection 17
- IoT and Edge/Fog Computing 10
- Signal Processing top 10%
- Advanced Malware Detection Techniques 9
- Information Systems top 5%
- Blockchain Technology Applications and Security 6
- Artificial Intelligence top 5%
- Internet Traffic Analysis and Secure E-voting 9
- Privacy-Preserving Technologies in Data 8
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- Advanced Optical Network Technologies 7
Keshav Sood
57 papers receiving 947 citations
Peers
Comparison fields: 5 of 63
- Computer Networks and Communications 705
- Signal Processing 100
- Information Systems 204
- Artificial Intelligence 252
- Electrical and Electronic Engineering 275
Countries citing papers authored by Keshav Sood
This map shows the geographic impact of Keshav Sood'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 Keshav Sood with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keshav Sood more than expected).
Fields of papers citing papers by Keshav Sood
This network shows the impact of papers produced by Keshav Sood. 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 Keshav Sood. The network helps show where Keshav Sood may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Keshav Sood, 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 | 0 | |
| 2 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 1 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 9 | |
| 7 | 2023 | 6 | |
| 8 | 2023 | 3 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 15 | |
| 11 | 2022 | 45 | |
| 12 | 2022 | 1 | |
| 13 | 2021 | 9 | |
| 14 | 2021 | 31 | |
| 15 | 2020 | 48 | |
| 16 | 2020 | 3 | |
| 17 | 2019 | 35 | |
| 18 | 2017 | 23 | |
| 19 | 2015 | 22 | |
| 20 | Security and Privacy in Online Social Networks: A Survey | 2014 | 1 |
About Keshav Sood
Keshav Sood is a scholar working on Computer Networks and Communications, Signal Processing, Artificial Intelligence, Information Systems and Software, having authored 63 papers that have together received 977 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (18 papers), Network Security and Intrusion Detection (17 papers), IoT and Edge/Fog Computing (10 papers), Internet Traffic Analysis and Secure E-voting (9 papers), Advanced Malware Detection Techniques (9 papers), Privacy-Preserving Technologies in Data (8 papers), Advanced Optical Network Technologies (7 papers) and Blockchain Technology Applications and Security (6 papers). The work is most often cited by research in Computer Networks and Communications (705 citations), Signal Processing (100 citations), Information Systems (204 citations), Artificial Intelligence (252 citations) and Electrical and Electronic Engineering (275 citations). Keshav Sood has collaborated with scholars based in Australia, China and India. Frequent co-authors include Shui Yu, Yong Xiang, Bohao Feng, Mohammad Reza Nosouhi, Yuming Zhang, Huachun Zhou, Robin Doss, Longxiang Gao, Hongke Zhang and Marthie Grobler. Their work appears in journals such as IEEE Internet of Things Journal, IEEE Communications Letters, IEEE Transactions on Network and Service Management, IEEE Access and IEEE Transactions on Information Forensics and Security.
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.