Sibasish Ghosh

150 total papers · 1.6k total citations
68 papers, 1.0k citations indexed

About

Sibasish Ghosh is a scholar working on Atomic and Molecular Physics, and Optics, Artificial Intelligence and Statistical and Nonlinear Physics. According to data from OpenAlex, Sibasish Ghosh has authored 68 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Atomic and Molecular Physics, and Optics, 62 papers in Artificial Intelligence and 17 papers in Statistical and Nonlinear Physics. Recurrent topics in Sibasish Ghosh's work include Quantum Information and Cryptography (62 papers), Quantum Mechanics and Applications (55 papers) and Quantum Computing Algorithms and Architecture (38 papers). Sibasish Ghosh is often cited by papers focused on Quantum Information and Cryptography (62 papers), Quantum Mechanics and Applications (55 papers) and Quantum Computing Algorithms and Architecture (38 papers). Sibasish Ghosh collaborates with scholars based in India, United States and Poland. Sibasish Ghosh's co-authors include Guruprasad Kar, Anirban Roy, Ujjwal Sen, Aditi Sen, Debasis Sarkar, Manik Banik, George Thomas, Subhashish Banerjee, Sandeep K. Goyal and Simone Severini and has published in prestigious journals such as Physical Review Letters, The Journal of Chemical Physics and Scientific Reports.

In The Last Decade

Sibasish Ghosh

65 papers receiving 1.0k citations

Author Peers

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

Author						Papers	Cites
Sibasish Ghosh	933	927	193	33	25	68	1.0k
Anthony Kiely	690 0.7×	526 0.6×	240 1.2×	25 0.8×	41 1.6×	22	876
Oscar Dahlsten	828 0.9×	809 0.9×	578 3.0×	68 2.1×	49 2.0×	50	1.2k
Barış Çakmak	1.1k 1.1×	976 1.1×	483 2.5×	9 0.3×	27 1.1×	34	1.2k
Jingfu Zhang	905 1.0×	750 0.8×	100 0.5×	43 1.3×	67 2.7×	66	1.1k
Tony J. G. Apollaro	999 1.1×	863 0.9×	179 0.9×	10 0.3×	29 1.2×	43	1.1k
Yasser Omar	704 0.8×	769 0.8×	181 0.9×	115 3.5×	65 2.6×	61	1.0k
Yutaka Shikano	621 0.7×	435 0.5×	109 0.6×	55 1.7×	51 2.0×	59	800
Zhihao Ma	773 0.8×	770 0.8×	200 1.0×	53 1.6×	15 0.6×	72	969
Augusto J. Roncaglia	766 0.8×	570 0.6×	410 2.1×	19 0.6×	30 1.2×	29	879
Giuseppe Florio	664 0.7×	500 0.5×	77 0.4×	23 0.7×	16 0.6×	58	874

Countries citing papers authored by Sibasish Ghosh

Since Specialization

Citations

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

Fields of papers citing papers by Sibasish Ghosh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sibasish Ghosh

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