Niloy Mukherjee

28 total papers · 476 total citations
21 papers, 331 citations indexed

About

Niloy Mukherjee is a scholar working on Computer Networks and Communications, Artificial Intelligence and Information Systems. According to data from OpenAlex, Niloy Mukherjee has authored 21 papers receiving a total of 331 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Networks and Communications, 6 papers in Artificial Intelligence and 5 papers in Information Systems. Recurrent topics in Niloy Mukherjee's work include Distributed systems and fault tolerance (5 papers), Scheduling and Optimization Algorithms (5 papers) and Advanced Database Systems and Queries (5 papers). Niloy Mukherjee is often cited by papers focused on Distributed systems and fault tolerance (5 papers), Scheduling and Optimization Algorithms (5 papers) and Advanced Database Systems and Queries (5 papers). Niloy Mukherjee collaborates with scholars based in United States, India and Switzerland. Niloy Mukherjee's co-authors include Deb Roy, Subhash C. Sarin, Ming Cheng, Dinesh Das, Mohamed Zaït, Jesse Kamp, Peter Gorniak, Tirthankar Lahiri, Braja Gopal Patra and Sivaji Bandyopadhyay and has published in prestigious journals such as Journal of the Operational Research Society, International Journal of Production Research and Proceedings of the VLDB Endowment.

In The Last Decade

Niloy Mukherjee

20 papers receiving 292 citations

Author Peers

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

Author						Papers	Cites
Niloy Mukherjee	138	102	88	61	41	21	331
J.P. Thomas	102 0.7×	24 0.2×	40 0.5×	54 0.9×	43 1.0×	15	323
Melinda Gervasio	72 0.5×	230 2.3×	22 0.3×	63 1.0×	22 0.5×	37	350
Kirsten Whitley	55 0.4×	59 0.6×	11 0.1×	130 2.1×	16 0.4×	19	338
Elliott Wen	44 0.3×	110 1.1×	13 0.1×	52 0.9×	16 0.4×	30	265
Stéphane Natkin	52 0.4×	53 0.5×	17 0.2×	17 0.3×	10 0.2×	36	275
Oleksiy Khriyenko	131 0.9×	90 0.9×	17 0.2×	94 1.5×	25 0.6×	28	266
Gerhard Goos	33 0.2×	145 1.4×	12 0.1×	57 0.9×	16 0.4×	18	300
Norman Carver	71 0.5×	209 2.0×	17 0.2×	20 0.3×	33 0.8×	21	294
Beat Gfeller	89 0.6×	82 0.8×	15 0.2×	80 1.3×	52 1.3×	17	283
Tahiry Rabehaja	181 1.3×	123 1.2×	10 0.1×	189 3.1×	36 0.9×	17	297

Countries citing papers authored by Niloy Mukherjee

Since Specialization

Citations

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

Fields of papers citing papers by Niloy Mukherjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Niloy Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Niloy Mukherjee. A scholar is included among the top collaborators of Niloy 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 Niloy Mukherjee. Niloy 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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