Binayak Kar

477 total citations · 1 hit paper
23 papers, 310 citations indexed

About

Binayak Kar is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Binayak Kar has authored 23 papers receiving a total of 310 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Computer Networks and Communications, 10 papers in Information Systems and 9 papers in Electrical and Electronic Engineering. Recurrent topics in Binayak Kar's work include IoT and Edge/Fog Computing (15 papers), Cloud Computing and Resource Management (6 papers) and Software-Defined Networks and 5G (5 papers). Binayak Kar is often cited by papers focused on IoT and Edge/Fog Computing (15 papers), Cloud Computing and Resource Management (6 papers) and Software-Defined Networks and 5G (5 papers). Binayak Kar collaborates with scholars based in Taiwan, India and Indonesia. Binayak Kar's co-authors include Ying‐Dar Lin, Eric Hsiao‐Kuang Wu, Yuan‐Cheng Lai, Li‐Hsing Yen, Shan-Hsiang Shen, Huei-Wen Ferng, Santosh Kumar Swain, Satyabrata Dash, Pankaj Kumar and Tai-Lin Chin and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Transactions on Vehicular Technology.

In The Last Decade

Binayak Kar

19 papers receiving 308 citations

Hit Papers

Offloading Using Traditional Optimization and Machine Lea... 2023 2026 2024 2025 2023 25 50 75 100

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Binayak Kar Taiwan 8 273 118 112 55 20 23 310
Guanjin Qu China 5 282 1.0× 104 0.9× 96 0.9× 73 1.3× 45 2.3× 8 356
Aamir Akbar Pakistan 11 269 1.0× 129 1.1× 102 0.9× 51 0.9× 12 0.6× 17 356
GSS Chalapathi India 9 182 0.7× 74 0.6× 113 1.0× 38 0.7× 21 1.1× 22 264
Mohammed Laroui France 5 173 0.6× 64 0.5× 84 0.8× 32 0.6× 37 1.9× 13 243
Tianchu Zhao China 8 379 1.4× 154 1.3× 163 1.5× 43 0.8× 44 2.2× 9 394
Olivier Alphand France 6 196 0.7× 68 0.6× 153 1.4× 33 0.6× 13 0.7× 10 254
Roland Wismüller Germany 9 230 0.8× 108 0.9× 52 0.5× 33 0.6× 11 0.6× 41 339
Dávid Haja Hungary 8 236 0.9× 107 0.9× 102 0.9× 32 0.6× 12 0.6× 15 319
Bo Lei China 9 200 0.7× 97 0.8× 98 0.9× 36 0.7× 27 1.4× 43 279
Pengtao Zhao China 7 296 1.1× 203 1.7× 63 0.6× 39 0.7× 30 1.5× 9 334

Countries citing papers authored by Binayak Kar

Since Specialization
Citations

This map shows the geographic impact of Binayak Kar'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 Binayak Kar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Binayak Kar more than expected).

Fields of papers citing papers by Binayak Kar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Binayak Kar. 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 Binayak Kar. The network helps show where Binayak Kar may publish in the future.

Co-authorship network of co-authors of Binayak Kar

This figure shows the co-authorship network connecting the top 25 collaborators of Binayak Kar. A scholar is included among the top collaborators of Binayak Kar 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 Binayak Kar. Binayak Kar 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.
Kar, Binayak, et al.. (2025). ZBR: Zone-based routing in quantum networks with efficient entanglement distribution. Journal of Network and Computer Applications. 238. 104156–104156. 1 indexed citations
2.
Kar, Binayak, et al.. (2025). Energy-Efficient Softwarized Networks: A Survey. IEEE Transactions on Network and Service Management. 22(6). 5597–5618.
3.
Sahoo, Jyoti Prakash, Binayak Kar, Ahmed M. Abdelmoniem, & Dimitris Chatzopoulos. (2025). Choir-IDS: A federated learning framework for fidelity-calibrated explainable intrusion detection system for edge-IoT networks. Information Fusion. 125. 103473–103473.
4.
Lai, Yuan‐Cheng, et al.. (2025). Optimizing ratio-based task offloading in two-tier edge computing: Multi-agent weighted action TD3 approach. Journal of Network and Computer Applications. 243. 104277–104277.
5.
Kumar, Pankaj, Binayak Kar, & Shan-Hsiang Shen. (2025). Trace-distance based end-to-end entanglement fidelity with information preservation in quantum networks. Journal of Network and Computer Applications. 244. 104366–104366.
6.
Kar, Binayak, et al.. (2024). Multi-Objective Offloading Optimization in MEC and Vehicular-Fog Systems: A Distributed-TD3 Approach. IEEE Transactions on Intelligent Transportation Systems. 25(11). 16897–16909. 12 indexed citations
7.
Dash, Satyabrata, et al.. (2024). CRAMP: Clustering-based RANs association and MEC placement for delay-sensitive applications. Journal of Network and Computer Applications. 227. 103893–103893. 1 indexed citations
8.
Kar, Binayak, et al.. (2024). Optimizing the Ratio-Based Offloading in Federated Cloud-Edge Systems: A MADRL Approach. IEEE Transactions on Network Science and Engineering. 12(1). 463–475. 5 indexed citations
9.
Kar, Binayak, et al.. (2024). Optimization of End-to-End AoI in Edge-Enabled Vehicular Fog Systems: A Dueling-DQN Approach. IEEE Internet of Things Journal. 1–1. 4 indexed citations
10.
Kar, Binayak, et al.. (2024). Optimizing the energy consumption in three-tier cloud–edge–fog federated systems with omnidirectional offloading. Computer Networks. 250. 110578–110578. 5 indexed citations
11.
Kar, Binayak, et al.. (2024). Ratio-Based Offloading Optimization for Edge and Vehicular-Fog Federated Systems: A Multi-Agent TD3 Approach. IEEE Transactions on Vehicular Technology. 73(11). 17684–17696. 7 indexed citations
12.
Kar, Binayak, et al.. (2023). Cost optimization of cloud-edge-fog federated systems with bidirectional offloading: one-hop versus two-hop. Telecommunication Systems. 84(4). 487–505. 1 indexed citations
13.
Kar, Binayak, Ying‐Dar Lin, & Yuan‐Cheng Lai. (2023). Cost optimization of omnidirectional offloading in two-tier cloud–edge federated systems. Journal of Network and Computer Applications. 215. 103630–103630. 13 indexed citations
14.
Yen, Li‐Hsing, et al.. (2020). Decentralized Configuration Protocols for Low-Cost Offloading From Multiple Edges to Multiple Vehicular Fogs. IEEE Transactions on Vehicular Technology. 70(1). 872–885. 16 indexed citations
15.
Kar, Binayak, Eric Hsiao‐Kuang Wu, & Ying‐Dar Lin. (2020). Communication and Computing Cost Optimization of Meshed Hierarchical NFV Datacenters. IEEE Access. 8. 94795–94809. 3 indexed citations
16.
Kar, Binayak, Ying‐Dar Lin, & Yuan‐Cheng Lai. (2020). OMNI: Omni-directional Dual Cost Optimization of Two-Tier Federated Cloud-Edge Systems. 1–7. 7 indexed citations
17.
18.
Kar, Binayak, Eric Hsiao‐Kuang Wu, & Ying‐Dar Lin. (2017). Energy Cost Optimization in Dynamic Placement of Virtualized Network Function Chains. IEEE Transactions on Network and Service Management. 15(1). 372–386. 65 indexed citations
19.
Kar, Binayak, Eric Hsiao‐Kuang Wu, & Ying‐Dar Lin. (2016). The Budgeted Maximum Coverage Problem in Partially Deployed Software Defined Networks. IEEE Transactions on Network and Service Management. 13(3). 394–406. 28 indexed citations
20.
Kar, Binayak, et al.. (2010). A Secure Proxy Blind Signature Scheme Based on DLP. 2. 477–480. 1 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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