Sarit Mukherjee

35 total papers · 466 total citations
18 papers, 307 citations indexed

About

Sarit Mukherjee is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Sociology and Political Science. According to data from OpenAlex, Sarit Mukherjee has authored 18 papers receiving a total of 307 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Networks and Communications, 4 papers in Electrical and Electronic Engineering and 2 papers in Sociology and Political Science. Recurrent topics in Sarit Mukherjee's work include Network Traffic and Congestion Control (6 papers), Mobile Agent-Based Network Management (6 papers) and Peer-to-Peer Network Technologies (5 papers). Sarit Mukherjee is often cited by papers focused on Network Traffic and Congestion Control (6 papers), Mobile Agent-Based Network Management (6 papers) and Peer-to-Peer Network Technologies (5 papers). Sarit Mukherjee collaborates with scholars based in United States and Germany. Sarit Mukherjee's co-authors include Sampath Rangarajan, Sudhir Aggarwal, T. V. Lakshman, Hyunseok Chang, Murali Kodialam, Ramana Rao Kompella, Myungjin Lee, Anindya Datta, Sanjoy Kumar Paul and Katherine Guo and has published in prestigious journals such as Journal of Systems and Software, Computer Communications and Information Systems.

In The Last Decade

Sarit Mukherjee

16 papers receiving 280 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Sarit Mukherjee	271	88	52	42	35	18	307
A. Biliris	295 1.1×	85 1.0×	24 0.5×	37 0.9×	50 1.4×	28	351
Anirban Chakrabarti	297 1.1×	142 1.6×	38 0.7×	14 0.3×	40 1.1×	20	354
Norbert Luttenberger	176 0.6×	144 1.6×	54 1.0×	21 0.5×	27 0.8×	26	286
Danny Soroker	208 0.8×	62 0.7×	68 1.3×	32 0.8×	12 0.3×	32	321
Divyesh Jadav	215 0.8×	123 1.4×	42 0.8×	23 0.5×	22 0.6×	27	272
Qianni Deng	237 0.9×	230 2.6×	24 0.5×	32 0.8×	12 0.3×	26	313
R. Newman-Wolfe	196 0.7×	30 0.3×	43 0.8×	22 0.5×	19 0.5×	27	309
Jaroslaw J. Sydir	215 0.8×	94 1.1×	36 0.7×	10 0.2×	14 0.4×	12	304
Ken-ichi Chinen	247 0.9×	154 1.8×	19 0.4×	16 0.4×	13 0.4×	25	346
C. Leangsuksun	247 0.9×	102 1.2×	128 2.5×	11 0.3×	11 0.3×	19	306

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

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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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