Sarit Mukherjee

2.2k total citations · 1 hit paper
60 papers, 1.6k citations indexed

About

Sarit Mukherjee is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Sarit Mukherjee has authored 60 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Networks and Communications, 14 papers in Information Systems and 10 papers in Electrical and Electronic Engineering. Recurrent topics in Sarit Mukherjee's work include Software-Defined Networks and 5G (19 papers), Caching and Content Delivery (15 papers) and Cloud Computing and Resource Management (12 papers). Sarit Mukherjee is often cited by papers focused on Software-Defined Networks and 5G (19 papers), Caching and Content Delivery (15 papers) and Cloud Computing and Resource Management (12 papers). Sarit Mukherjee collaborates with scholars based in United States, India and Germany. Sarit Mukherjee's co-authors include T. V. Lakshman, Ramana Rao Kompella, Advait Dixit, Fang Hao, Hao Fang, Hyunseok Chang, Hao Fang, Murali Kodialam, Haoyu Song and Adiseshu Hari and has published in prestigious journals such as IEEE Journal on Selected Areas in Communications, Journal of the Operational Research Society and IEEE/ACM Transactions on Networking.

In The Last Decade

Sarit Mukherjee

58 papers receiving 1.5k citations

Hit Papers

Towards an elastic distributed SDN controller 2013 2026 2017 2021 2013 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Towards an elastic distributed SDN controller
    2013 362 citations Sarit Mukherjee, T. V. Lakshman et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sarit Mukherjee United States 16 1.4k 469 467 184 66 60 1.6k
Takayuki Osogami Japan 17 380 0.3× 183 0.4× 159 0.3× 116 0.6× 45 0.7× 64 801
Bjarne E. Helvik Norway 19 938 0.7× 384 0.8× 315 0.7× 103 0.6× 17 0.3× 115 1.2k
Christoph Lindemann Germany 22 1.1k 0.8× 352 0.8× 140 0.3× 128 0.7× 25 0.4× 74 1.7k
Yang Richard Yang United States 18 1.2k 0.8× 382 0.8× 143 0.3× 133 0.7× 82 1.2× 39 1.3k
J. William Atwood Canada 15 384 0.3× 140 0.3× 176 0.4× 147 0.8× 64 1.0× 81 756
Roberto Pietrantuono Italy 21 873 0.6× 151 0.3× 805 1.7× 241 1.3× 37 0.6× 94 1.4k
Kalyanaraman Vaidyanathan United States 13 1.4k 1.0× 146 0.3× 853 1.8× 234 1.3× 38 0.6× 15 1.7k
Boaz Patt-Shamir Israel 24 1.4k 1.0× 232 0.5× 142 0.3× 295 1.6× 50 0.8× 124 1.7k
Guy Pujolle France 14 1.0k 0.8× 880 1.9× 65 0.1× 60 0.3× 36 0.5× 70 1.7k

Countries citing papers authored by Sarit Mukherjee

Since Specialization
Citations

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

Fields of papers citing papers by Sarit Mukherjee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarit Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Sarit Mukherjee. A scholar is included among the top collaborators of Sarit 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 Sarit Mukherjee. Sarit 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.
Chang, Hyunseok, et al.. (2024). INSERT: In-Network Stateful End-to-End RDMA Telemetry. 1061–1070.
2.
Chang, Hyunseok & Sarit Mukherjee. (2024). Zeta: Transparent Zero-Trust Security Add-on for RDMA. 1041–1050. 1 indexed citations
3.
Chang, Hyunseok, et al.. (2023). Towards network-assisted publish–subscribe over wide area networks. Computer Networks. 231. 109702–109702. 1 indexed citations
4.
5.
Karam, G.M., et al.. (2022). The Evolution of Networks and Management in a 6G World: An Inventor’s View. IEEE Transactions on Network and Service Management. 19(4). 5395–5407. 21 indexed citations
6.
Chang, Hyunseok, Matteo Varvello, Hao Fang, & Sarit Mukherjee. (2022). A Tale of Three Videoconferencing Applications: Zoom, Webex, and Meet. IEEE/ACM Transactions on Networking. 30(5). 2343–2358. 6 indexed citations
7.
Chang, Hyunseok, et al.. (2021). MAGNet: Machine Learning Guided Application-Aware Networking for Data Centers. IEEE Transactions on Cloud Computing. 11(1). 291–307. 4 indexed citations
8.
Jiang, Yuang, Murali Kodialam, T. V. Lakshman, Sarit Mukherjee, & Leandros Tassiulas. (2021). Resource Allocation in Data Centers Using Fast Reinforcement Learning Algorithms. IEEE Transactions on Network and Service Management. 18(4). 4576–4588. 13 indexed citations
9.
Jiang, Yuang, Murali Kodialam, T. V. Lakshman, Sarit Mukherjee, & Leandros Tassiulas. (2020). Fast Reinforcement Learning Algorithms for Resource Allocation in Data Centers. 271–279. 2 indexed citations
10.
Chang, Hyunseok, et al.. (2019). eZTrust. 49–61. 28 indexed citations
11.
Mukherjee, Sarit, et al.. (2018). SDN-Based Multi-Protocol Edge Switching for IoT Service Automation. IEEE Journal on Selected Areas in Communications. 36(12). 2775–2786. 31 indexed citations
12.
Islam, Bashima, et al.. (2018). Rethinking ranging of unmodified BLE peripherals in smart city infrastructure. 339–350. 8 indexed citations
13.
Mukherjee, Sarit. (2018). Quality. 4 indexed citations
14.
Fang, Hao, Murali Kodialam, T. V. Lakshman, & Sarit Mukherjee. (2016). Online Allocation of Virtual Machines in a Distributed Cloud. IEEE/ACM Transactions on Networking. 25(1). 238–249. 54 indexed citations
15.
Chang, Hyunseok, et al.. (2012). Building access oblivious storage cloud for enterprise. 5–5. 1 indexed citations
16.
Fang, Hao, T. V. Lakshman, Sarit Mukherjee, & Haoyu Song. (2010). Secure cloud computing with a virtualized network infrastructure. IEEE International Conference on Cloud Computing Technology and Science. 16–16. 35 indexed citations
17.
Roy, Dilip & Sarit Mukherjee. (1998). Multivariate Extensions of Univariate Life Distributions. Journal of Multivariate Analysis. 67(1). 72–79. 9 indexed citations
18.
Mukherjee, Sarit, et al.. (1990). On Some Closure Properties of Dominance Relations Between Life Distributions Based on Reliability Measures. Calcutta Statistical Association Bulletin. 40(1-4). 325–342. 1 indexed citations
19.
Roy, Dilip & Sarit Mukherjee. (1989). Characterizations of some bivariate life-distributions. Journal of Multivariate Analysis. 28(1). 1–8. 11 indexed citations
20.
Mukherjee, Sarit & Dilip Roy. (1989). Properties of Classes of Probability Distributions Based on the Concept of Reciprocal Coordinate Subtangent. Calcutta Statistical Association Bulletin. 38(3-4). 169–180. 5 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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