Joydeep Mukherjee

62 total papers · 418 total citations
34 papers, 236 citations indexed

About

Joydeep Mukherjee is a scholar working on Computer Vision and Pattern Recognition, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Joydeep Mukherjee has authored 34 papers receiving a total of 236 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 14 papers in Computer Networks and Communications and 10 papers in Information Systems. Recurrent topics in Joydeep Mukherjee's work include Cloud Computing and Resource Management (10 papers), Handwritten Text Recognition Techniques (6 papers) and Software System Performance and Reliability (6 papers). Joydeep Mukherjee is often cited by papers focused on Cloud Computing and Resource Management (10 papers), Handwritten Text Recognition Techniques (6 papers) and Software System Performance and Reliability (6 papers). Joydeep Mukherjee collaborates with scholars based in Canada, India and United States. Joydeep Mukherjee's co-authors include Diwakar Krishnamurthy, Sushmita Mitra, L. Lucchese, Mea Wang, Marin Litoiu, Jerry Rolia, Chris Hyser, Jerome Rolia, Sidney Croul and Abhijit Guha and has published in prestigious journals such as Cancer Research, Theoretical Computer Science and Lecture notes in computer science.

In The Last Decade

Joydeep Mukherjee

30 papers receiving 220 citations

Author Peers

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

Author						Papers	Cites
Joydeep Mukherjee	93	91	74	35	23	34	236
Zhuang Li	84 0.9×	122 1.3×	71 1.0×	18 0.5×	52 2.3×	41	276
Daniel Hein	172 1.8×	34 0.4×	97 1.3×	12 0.3×	95 4.1×	30	296
Tran Vu Pham	139 1.5×	64 0.7×	95 1.3×	9 0.3×	64 2.8×	30	285
R. Cristin	39 0.4×	78 0.9×	29 0.4×	12 0.3×	85 3.7×	31	275
Mazani Manaf	52 0.6×	79 0.9×	44 0.6×	14 0.4×	46 2.0×	40	293
Yubei Chen	37 0.4×	84 0.9×	20 0.3×	12 0.3×	95 4.1×	22	288
Y. A. Tang	89 1.0×	57 0.6×	60 0.8×	7 0.2×	57 2.5×	25	221
Mariya Zheleva	125 1.3×	23 0.3×	54 0.7×	30 0.9×	106 4.6×	40	310
Shital Raut	76 0.8×	65 0.7×	36 0.5×	12 0.3×	53 2.3×	39	262
Yau Hee Kho	50 0.5×	102 1.1×	71 1.0×	10 0.3×	19 0.8×	41	319

Countries citing papers authored by Joydeep Mukherjee

Since Specialization

Citations

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

Fields of papers citing papers by Joydeep Mukherjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joydeep Mukherjee

This figure shows the co-authorship network connecting the top 25 collaborators of Joydeep Mukherjee. A scholar is included among the top collaborators of Joydeep 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 Joydeep Mukherjee. Joydeep Mukherjee is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact