Anwesha Mukherjee

1.6k total citations
78 papers, 986 citations indexed

About

Anwesha Mukherjee is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Information Systems. According to data from OpenAlex, Anwesha Mukherjee has authored 78 papers receiving a total of 986 indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Computer Networks and Communications, 41 papers in Electrical and Electronic Engineering and 14 papers in Information Systems. Recurrent topics in Anwesha Mukherjee's work include IoT and Edge/Fog Computing (33 papers), Advanced MIMO Systems Optimization (20 papers) and Advanced Wireless Network Optimization (11 papers). Anwesha Mukherjee is often cited by papers focused on IoT and Edge/Fog Computing (33 papers), Advanced MIMO Systems Optimization (20 papers) and Advanced Wireless Network Optimization (11 papers). Anwesha Mukherjee collaborates with scholars based in India, Australia and United States. Anwesha Mukherjee's co-authors include Debashis De, Rajkumar Buyya, Soumya K. Ghosh, Deepsubhra Guha Roy, Shreya Ghosh, Sabyasachi Bandyopadhyay, Debangshu Dey, Biswajit Bhattacharyya, Arnab Das and Sugata Munshi and has published in prestigious journals such as Scientific Reports, IEEE Sensors Journal and Computer Networks.

In The Last Decade

Anwesha Mukherjee

73 papers receiving 941 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anwesha Mukherjee India 18 749 462 268 142 72 78 986
Oladayo Bello United States 6 517 0.7× 319 0.7× 150 0.6× 82 0.6× 55 0.8× 8 771
Subarna Chatterjee India 11 667 0.9× 238 0.5× 257 1.0× 130 0.9× 40 0.6× 31 832
Augusto Neto Brazil 16 780 1.0× 404 0.9× 170 0.6× 134 0.9× 54 0.8× 134 1.0k
Daniel F. Macedo Brazil 15 983 1.3× 502 1.1× 138 0.5× 109 0.8× 38 0.5× 95 1.2k
Paola G. Vinueza Naranjo Italy 11 640 0.9× 347 0.8× 186 0.7× 106 0.7× 42 0.6× 27 818
Yongchao Zhang China 12 751 1.0× 336 0.7× 241 0.9× 112 0.8× 48 0.7× 20 959
Xiulei Liu China 9 420 0.6× 411 0.9× 154 0.6× 55 0.4× 18 0.3× 47 770
Pedro Castillejo Spain 16 345 0.5× 177 0.4× 189 0.7× 95 0.7× 91 1.3× 35 706
Muhammad Adil United States 21 599 0.8× 246 0.5× 262 1.0× 69 0.5× 53 0.7× 54 960
Krishna Kadiyala United States 4 786 1.0× 250 0.5× 375 1.4× 163 1.1× 14 0.2× 5 934

Countries citing papers authored by Anwesha Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Anwesha Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anwesha Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Anwesha Mukherjee. A scholar is included among the top collaborators of Anwesha Mukherjee 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 Anwesha Mukherjee. Anwesha Mukherjee 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.
Bhattacharya, Pronaya, Anwesha Mukherjee, Bharat Bhushan, et al.. (2025). A secured remote patient monitoring framework for IoMT ecosystems. Scientific Reports. 15(1). 22882–22882. 1 indexed citations
2.
Mukherjee, Anwesha & Rajkumar Buyya. (2025). Federated Learning Architectures: A Performance Evaluation With Crop Yield Prediction Application. Software Practice and Experience. 55(7). 1165–1184. 2 indexed citations
3.
Mukherjee, Anwesha, et al.. (2025). FLyer: Federated Learning-Based Crop Yield Prediction for Agriculture 5.0. IEEE Transactions on Artificial Intelligence. 6(7). 1943–1952. 4 indexed citations
4.
Mukherjee, Anwesha, et al.. (2024). SoVEC: Social vehicular edge computing-based optimum route selection. Vehicular Communications. 47. 100764–100764. 4 indexed citations
5.
Mukherjee, Anwesha, et al.. (2024). FedGen: Federated learning-based green edge computing for optimal route selection using genetic algorithm in Internet of Vehicular Things. Vehicular Communications. 49. 100812–100812. 3 indexed citations
6.
Ghosh, Shreya, Shreya Ghosh, Anwesha Mukherjee, et al.. (2022). STOPPAGE: Spatio‐temporal data driven cloud‐fog‐edge computing framework for pandemic monitoring and management. Software Practice and Experience. 52(12). 2700–2726. 9 indexed citations
7.
Mukherjee, Anwesha, Shreya Ghosh, Debashis De, & Soumya K. Ghosh. (2022). MCG: Mobility-Aware Computation Offloading in Edge Using Weighted Majority Game. IEEE Transactions on Network Science and Engineering. 9(6). 4310–4321. 6 indexed citations
8.
Ghosh, Shreya, et al.. (2022). RESCUE: Enabling green healthcare services using integrated IoT‐edge‐fog‐cloud computing environments. Software Practice and Experience. 52(7). 1615–1642. 18 indexed citations
9.
De, Debashis, et al.. (2022). DewBCity: blockchain network-based dew-cloud modeling for distributed and decentralized smart cities. The Journal of Supercomputing. 78(6). 8977–8997. 8 indexed citations
10.
Ghosh, Shreya & Anwesha Mukherjee. (2022). STROVE: spatial data infrastructure enabled cloud–fog–edge computing framework for combating COVID-19 pandemic. Innovations in Systems and Software Engineering. 20(4). 727–743. 11 indexed citations
11.
Mukherjee, Anwesha. (2021). Mobile Edge Computing. 9 indexed citations
12.
Mukherjee, Anwesha. (2020). Leadership for Creating Sustainability Within the Organization: An Empirical Study. SSRN Electronic Journal. 1 indexed citations
13.
Mukherjee, Anwesha, et al.. (2019). Spatio-Fog: A green and timeliness-oriented fog computing model for geospatial query resolution. Simulation Modelling Practice and Theory. 100. 102043–102043. 14 indexed citations
14.
Ghosh, Shreya, Anwesha Mukherjee, Soumya K. Ghosh, & Rajkumar Buyya. (2019). Mobi-IoST: Mobility-Aware Cloud-Fog-Edge-IoT Collaborative Framework for Time-Critical Applications. IEEE Transactions on Network Science and Engineering. 7(4). 2271–2285. 87 indexed citations
15.
Mukherjee, Anwesha, et al.. (2019). WmA-MiFN: A Weighted Majority and Auction Game Based Green Ultra-Dense Micro-Femtocell Network System. IEEE Systems Journal. 14(1). 353–362. 6 indexed citations
16.
Mukherjee, Anwesha, Debashis De, & Rajkumar Buyya. (2018). E2R‐F2N: Energy‐efficient retailing using a femtolet‐based fog network. Software Practice and Experience. 49(3). 498–523. 6 indexed citations
17.
Mukherjee, Anwesha, et al.. (2017). Study of Indoor Path Loss Computational Models for Femtocell Based Mobile Network. Wireless Personal Communications. 95(3). 3031–3056. 5 indexed citations
18.
Mukherjee, Anwesha, et al.. (2014). Mobile cloud computing based energy efficient offloading strategies for femtocell network. 28–35. 20 indexed citations
19.
Mukherjee, Anwesha & Debashis De. (2012). Symmetric Key based Audio Steganography for Mobile Network. IJEIR. 1(3). 271–277. 1 indexed citations
20.
Mukherjee, Anwesha, et al.. (2012). Femtocell based green power consumption methods for mobile network. Computer Networks. 57(1). 162–178. 62 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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