Keshav Sood

1.4k total citations
63 papers, 977 citations indexed

About

Keshav Sood is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Keshav Sood has authored 63 papers receiving a total of 977 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 27 papers in Artificial Intelligence and 16 papers in Information Systems. Recurrent topics in Keshav Sood's work include Software-Defined Networks and 5G (18 papers), Network Security and Intrusion Detection (17 papers) and IoT and Edge/Fog Computing (10 papers). Keshav Sood is often cited by papers focused on Software-Defined Networks and 5G (18 papers), Network Security and Intrusion Detection (17 papers) and IoT and Edge/Fog Computing (10 papers). Keshav Sood collaborates with scholars based in Australia, China and India. Keshav Sood's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Access and IEEE Transactions on Software Engineering.

In The Last Decade

Keshav Sood

57 papers receiving 947 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Keshav Sood Australia 18 705 275 252 204 100 63 977
Ashraf Matrawy Canada 15 878 1.2× 277 1.0× 194 0.8× 201 1.0× 165 1.6× 82 1.0k
Xiang Cheng China 10 555 0.8× 263 1.0× 349 1.4× 280 1.4× 71 0.7× 17 865
Syed Rafiul Hussain United States 14 471 0.7× 238 0.9× 253 1.0× 185 0.9× 154 1.5× 33 704
Haodong Wang United States 17 692 1.0× 153 0.6× 242 1.0× 205 1.0× 92 0.9× 41 880
Daniel Zucchetto Italy 6 379 0.5× 183 0.7× 189 0.8× 160 0.8× 176 1.8× 13 618
Aaron Schulman United States 14 537 0.8× 380 1.4× 231 0.9× 141 0.7× 94 0.9× 37 773
Miguel Soriano Spain 16 430 0.6× 257 0.9× 262 1.0× 123 0.6× 48 0.5× 78 719
Chin‐Tser Huang United States 15 622 0.9× 278 1.0× 346 1.4× 279 1.4× 125 1.3× 100 966
Myungjin Lee United States 10 619 0.9× 248 0.9× 168 0.7× 216 1.1× 50 0.5× 41 834
Raimo Kantola Finland 15 502 0.7× 211 0.8× 241 1.0× 180 0.9× 67 0.7× 79 711

Countries citing papers authored by Keshav Sood

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Keshav Sood

This figure shows the co-authorship network connecting the top 25 collaborators of Keshav Sood. A scholar is included among the top collaborators of Keshav Sood based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Keshav Sood. Keshav Sood is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Mohammadi, Alireza, et al.. (2025). Securing Voice Authentication Applications Against Targeted Data Poisoning. IEEE Internet Computing. 29(3). 41–47.
2.
Xiang, Yong, et al.. (2025). Trustworthy and Fair Federated Learning via Reputation-Based Consensus and Adaptive Incentives. IEEE Transactions on Information Forensics and Security. 20. 2868–2882. 2 indexed citations
3.
Sood, Keshav, et al.. (2025). Empirical Study of Hierarchical Intrusion Detection Systems for Unknown Attacks. IEEE Transactions on Network and Service Management. 22(6). 5564–5581.
4.
Thayasivam, Uthayasanker, et al.. (2025). Balancing privacy and health integrity: A novel framework for ECG signal analysis in immersive environments. Computers in Biology and Medicine. 192(Pt A). 110234–110234. 1 indexed citations
5.
Zhang, Nannan, et al.. (2024). From Data Integrity to Global Model Integrity for Federated Learning: An MHT-based Approach. 956–961. 1 indexed citations
6.
Zhang, Xiaoning, et al.. (2023). Online Training Flow Scheduling for Geo-Distributed Machine Learning Jobs Over Heterogeneous and Dynamic Networks. IEEE Transactions on Cognitive Communications and Networking. 10(1). 277–291. 6 indexed citations
7.
Nosouhi, Mohammad Reza, et al.. (2023). Towards quantum‐secure software defined networks. SHILAP Revista de lepidopterología. 5(1). 66–71. 3 indexed citations
8.
Cai, Borui, et al.. (2023). CoSS: leveraging statement semantics for code summarization. IEEE Transactions on Software Engineering. 1–15. 4 indexed citations
9.
Feng, Bohao, et al.. (2022). Efficient Federated DRL-Based Cooperative Caching for Mobile Edge Networks. IEEE Transactions on Network and Service Management. 20(1). 246–260. 45 indexed citations
10.
Zong, Tianrui, Yong Xiang, Longxiang Gao, et al.. (2022). SSVS-SSVD Based Desynchronization Attacks Resilient Watermarking Method for Stereo Signals. IEEE/ACM Transactions on Audio Speech and Language Processing. 31. 448–461. 15 indexed citations
11.
He, Yunhua, Yueting Wu, Cui Zhang, et al.. (2022). A Sparse Protocol Parsing Method for IIoT Based on BPSO-vote-HMM Hybrid Model. IEEE/ACM Transactions on Networking. 31(2). 485–496. 1 indexed citations
12.
Liu, Yining, et al.. (2021). RPPTD: Robust Privacy-Preserving Truth Discovery Scheme. IEEE Systems Journal. 16(3). 4525–4531. 33 indexed citations
13.
Zhang, Yuming, Bohao Feng, Wei Quan, et al.. (2020). Cooperative Edge Caching: A Multi-Agent Deep Learning Based Approach. IEEE Access. 8. 133212–133224. 48 indexed citations
14.
Zhang, Xiaoning, et al.. (2020). Reliability-aware virtual network function placement in carrier networks. Journal of Network and Computer Applications. 154. 102536–102536. 22 indexed citations
15.
He, Yunhua, et al.. (2020). A Sparse Protocol Parsing Method for IIoT Protocols Based on HMM hybrid model. 1–6. 3 indexed citations
16.
Sood, Keshav, Kallol Krishna Karmakar, Shui Yu, et al.. (2019). Alleviating Heterogeneity in SDN-IoT Networks to Maintain QoS and Enhance Security. IEEE Internet of Things Journal. 7(7). 5964–5975. 35 indexed citations
17.
Sood, Keshav & Yong Xiang. (2017). The controller placement problem or the controller selection problem?. Journal of Communications and Information Networks. 2(3). 1–9. 23 indexed citations
18.
Sood, Keshav, Shigang Liu, Shui Yu, & Yong Xiang. (2015). Dynamic access point association using Software Defined Networking. Swinburne Research Bank (Swinburne University of Technology). 226–231. 22 indexed citations
19.
Sood, Keshav, et al.. (2014). Security and Privacy in Online Social Networks: A Survey. SHILAP Revista de lepidopterología. 1 indexed citations
20.
Sood, Keshav, et al.. (2014). Security and Privacy in Online Social Networks: A Survey. SHILAP Revista de lepidopterología. 1(1). e3–e3. 6 indexed citations

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.

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