Raja Karmakar

738 total citations
49 papers, 460 citations indexed

About

Raja Karmakar is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Artificial Intelligence. According to data from OpenAlex, Raja Karmakar has authored 49 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Computer Networks and Communications, 27 papers in Electrical and Electronic Engineering and 8 papers in Artificial Intelligence. Recurrent topics in Raja Karmakar's work include Wireless Networks and Protocols (22 papers), Advanced Wireless Network Optimization (15 papers) and Advanced MIMO Systems Optimization (13 papers). Raja Karmakar is often cited by papers focused on Wireless Networks and Protocols (22 papers), Advanced Wireless Network Optimization (15 papers) and Advanced MIMO Systems Optimization (13 papers). Raja Karmakar collaborates with scholars based in India, Canada and Cambodia. Raja Karmakar's co-authors include Samiran Chattopadhyay, Sandip Chakraborty, Georges Kaddoum, Ouassima Akhrif, Soumya K. Ghosh, Sourav Kanti Addya, Sreejita Ghosh, Saikat Mukherjee, Kumar Ayush and Rishiraj Saha Roy and has published in prestigious journals such as IEEE Communications Surveys & Tutorials, IEEE Access and IEEE Transactions on Wireless Communications.

In The Last Decade

Raja Karmakar

43 papers receiving 442 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Raja Karmakar India 12 336 290 61 47 47 49 460
Estefanía Coronado Spain 14 514 1.5× 302 1.0× 71 1.2× 42 0.9× 28 0.6× 62 610
Daniel Ayepah-Mensah China 10 332 1.0× 224 0.8× 68 1.1× 35 0.7× 48 1.0× 23 439
Yoram Haddad Israel 13 358 1.1× 268 0.9× 44 0.7× 40 0.9× 37 0.8× 47 494
Tutun Juhana Indonesia 10 174 0.5× 264 0.9× 48 0.8× 42 0.9× 56 1.2× 75 414
N. Correia Portugal 14 365 1.1× 329 1.1× 63 1.0× 28 0.6× 31 0.7× 68 555
Tuan LeAnh South Korea 10 336 1.0× 224 0.8× 68 1.1× 28 0.6× 29 0.6× 24 427
Xiaoge Huang China 14 425 1.3× 318 1.1× 104 1.7× 78 1.7× 73 1.6× 66 552
Kai Yu China 13 246 0.7× 305 1.1× 36 0.6× 40 0.9× 105 2.2× 42 438
Xiaoting Ma China 9 187 0.6× 210 0.7× 50 0.8× 64 1.4× 38 0.8× 22 334
Xiaoke Sun China 9 241 0.7× 212 0.7× 86 1.4× 84 1.8× 34 0.7× 13 384

Countries citing papers authored by Raja Karmakar

Since Specialization
Citations

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

Fields of papers citing papers by Raja Karmakar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Raja Karmakar

This figure shows the co-authorship network connecting the top 25 collaborators of Raja Karmakar. A scholar is included among the top collaborators of Raja Karmakar 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 Raja Karmakar. Raja Karmakar 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.
Karmakar, Raja, Georges Kaddoum, & Ouassima Akhrif. (2025). IntSHU: A Security-Enabled Intelligent Soft Handover Approach for UAV-Aided 5G and Beyond. IEEE Transactions on Cognitive Communications and Networking. 11(6). 4196–4209. 1 indexed citations
2.
Karmakar, Raja, et al.. (2024). Leveraging Ensemble Learning for Enhanced Sentiment Analysis. 1–6. 1 indexed citations
3.
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5.
Karmakar, Raja, et al.. (2023). How can applications of blockchain and artificial intelligence improve performance of Internet of Things? – A survey. Computer Networks. 224. 109634–109634. 21 indexed citations
6.
Karmakar, Raja, et al.. (2023). Network Throughput Improvement in Wi-Fi 6 over Wi-Fi 5: A Comparative Performance Analysis. 1–6. 3 indexed citations
7.
8.
Karmakar, Raja, et al.. (2021). Containerized deployment of micro-services in fog devices: a reinforcement learning-based approach. The Journal of Supercomputing. 78(5). 6817–6845. 3 indexed citations
9.
Karmakar, Raja, Georges Kaddoum, & Samiran Chattopadhyay. (2021). SmartCon: Deep Probabilistic Learning-Based Intelligent Link-Configuration in Narrowband-IoT Toward 5G and B5G. IEEE Transactions on Cognitive Communications and Networking. 8(2). 1147–1158. 6 indexed citations
10.
Karmakar, Raja, et al.. (2020). Emergence of Edge Computing: An Advancement over Cloud and Fog. 1–7. 6 indexed citations
11.
Karmakar, Raja, Samiran Chattopadhyay, & Sandip Chakraborty. (2020). A Deep Probabilistic Control Machinery for Auto-Configuration of WiFi Link Parameters. IEEE Transactions on Wireless Communications. 19(12). 8330–8340. 9 indexed citations
12.
Karmakar, Raja, et al.. (2020). NetStor: Network and Storage Traffic Management for Ensuring Application QoS in a Hyperconverged Data-Center. IEEE Transactions on Cloud Computing. 10(2). 1287–1300. 4 indexed citations
13.
Karmakar, Raja, et al.. (2020). How Can Machine Learning Impact on Wireless Network and IoT? – A Survey. 1–7. 4 indexed citations
14.
Karmakar, Raja, Samiran Chattopadhyay, & Sandip Chakraborty. (2020). SmartBond: A Deep Probabilistic Machinery for Smart Channel Bonding in IEEE 802.11ac. 2599–2608. 5 indexed citations
15.
Karmakar, Raja, et al.. (2020). FCW: A Forward Collision Warning System Using Convolutional Neural Network. 1–5. 6 indexed citations
16.
Banerjee, S., et al.. (2020). Performance Survey of MANET Routing Protocols with TCP Congestion Control Algorithms. 433–438. 1 indexed citations
17.
Karmakar, Raja, Samiran Chattopadhyay, & Sandip Chakraborty. (2019). Intelligent MU-MIMO User Selection With Dynamic Link Adaptation in IEEE 802.11ax. IEEE Transactions on Wireless Communications. 18(2). 1155–1165. 17 indexed citations
18.
Karmakar, Raja, et al.. (2019). PTC: Pick-Test-Choose to Place Containerized Micro-Services in IoT. 1–6. 10 indexed citations
19.
Karmakar, Raja, Samiran Chattopadhyay, & Sandip Chakraborty. (2017). Impact of IEEE 802.11n/ac PHY/MAC High Throughput Enhancements on Transport and Application Protocols—A Survey. IEEE Communications Surveys & Tutorials. 19(4). 2050–2091. 65 indexed citations
20.
Karmakar, Raja, Samiran Chattopadhyay, & Sandip Chakraborty. (2016). Channel Access Fairness in IEEE 802.11ac. 51–58. 7 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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