Amit Mukherjee

99 total papers · 713 total citations
41 papers, 460 citations indexed

About

Amit Mukherjee is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Amit Mukherjee has authored 41 papers receiving a total of 460 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Atomic and Molecular Physics, and Optics, 18 papers in Artificial Intelligence and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Amit Mukherjee's work include Quantum Mechanics and Applications (19 papers), Quantum Information and Cryptography (17 papers) and Quantum Computing Algorithms and Architecture (9 papers). Amit Mukherjee is often cited by papers focused on Quantum Mechanics and Applications (19 papers), Quantum Information and Cryptography (17 papers) and Quantum Computing Algorithms and Architecture (9 papers). Amit Mukherjee collaborates with scholars based in India, United States and Hong Kong. Amit Mukherjee's co-authors include Manik Banik, Badrinath Roysam, Arup Roy, Miguel Vélez-Reyes, James B. Orlin, Ravindra K. Ahuja, C.R. Liu, Saronath Halder, James D. Frost and John R. Glover and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and IEEE Transactions on Geoscience and Remote Sensing.

In The Last Decade

Amit Mukherjee

39 papers receiving 447 citations

Author Peers

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

Author						Papers	Cites
Amit Mukherjee	171	162	68	62	59	41	460
D.I. Fotiadis	132 0.8×	31 0.2×	123 1.8×	88 1.4×	3 0.1×	29	505
Pratheepan Yogarajah	143 0.8×	24 0.1×	45 0.7×	259 4.2×	31 0.5×	47	524
Jan‐Ray Liao	31 0.2×	54 0.3×	21 0.3×	85 1.4×	15 0.3×	33	413
Ramakrishna Kakarala	49 0.3×	24 0.1×	57 0.8×	358 5.8×	13 0.2×	56	548
Lawrence A. Ray	40 0.2×	103 0.6×	42 0.6×	258 4.2×	23 0.4×	27	458
Helmut Bez	148 0.9×	35 0.2×	14 0.2×	323 5.2×	18 0.3×	54	531
Zhenhua Li	267 1.6×	53 0.3×	11 0.2×	123 2.0×	22 0.4×	42	485
Li Xu	81 0.5×	38 0.2×	31 0.5×	105 1.7×	7 0.1×	49	508
Kuntal Ghosh	99 0.6×	15 0.1×	62 0.9×	155 2.5×	10 0.2×	74	518
P.J.G. Lisboa	216 1.3×	15 0.1×	15 0.2×	180 2.9×	8 0.1×	35	531

Countries citing papers authored by Amit Mukherjee

Since Specialization

Citations

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

Fields of papers citing papers by Amit Mukherjee

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit Mukherjee

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