Saumitra Saha

68 total papers · 1.2k total citations
33 papers, 952 citations indexed

About

Saumitra Saha is a scholar working on Atomic and Molecular Physics, and Optics, Molecular Biology and Physical and Theoretical Chemistry. According to data from OpenAlex, Saumitra Saha has authored 33 papers receiving a total of 952 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atomic and Molecular Physics, and Optics, 7 papers in Molecular Biology and 5 papers in Physical and Theoretical Chemistry. Recurrent topics in Saumitra Saha's work include Advanced Chemical Physics Studies (5 papers), Crystallography and molecular interactions (4 papers) and Molecular Spectroscopy and Structure (4 papers). Saumitra Saha is often cited by papers focused on Advanced Chemical Physics Studies (5 papers), Crystallography and molecular interactions (4 papers) and Molecular Spectroscopy and Structure (4 papers). Saumitra Saha collaborates with scholars based in Australia, United States and Canada. Saumitra Saha's co-authors include Feng Wang, Dane Morgan, Amelia Bengtson, Ridwan Sakidja, Joseph Zwanziger, Dheeraj Agrawal, Sujata Banerjee, Arunesh Mishra, Shravan Rayanchu and F. Matthias Bickelhaupt and has published in prestigious journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Physical review. B, Condensed matter.

In The Last Decade

Saumitra Saha

33 papers receiving 933 citations

Author Peers

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

Author						Papers	Cites
Saumitra Saha	250	191	171	155	149	33	952
M. Bonetti	438 1.8×	127 0.7×	132 0.8×	197 1.3×	140 0.9×	43	1.2k
S. V. Letcher	155 0.6×	102 0.5×	208 1.2×	203 1.3×	25 0.2×	41	975
Gerhard Meier	346 1.4×	78 0.4×	250 1.5×	82 0.5×	47 0.3×	31	1.0k
Susanta Das	264 1.1×	52 0.3×	112 0.7×	309 2.0×	70 0.5×	58	847
Orlando Guzmán	301 1.2×	138 0.7×	268 1.6×	74 0.5×	59 0.4×	47	800
Carolyn L. Phillips	531 2.1×	68 0.4×	134 0.8×	55 0.4×	24 0.2×	26	925
Edmund A. Di Marzio	543 2.2×	57 0.3×	99 0.6×	128 0.8×	101 0.7×	31	1.1k
H.J. Deuling	129 0.5×	97 0.5×	474 2.8×	276 1.8×	28 0.2×	17	1.2k
Arnab Mukherjee	321 1.3×	267 1.4×	135 0.8×	87 0.6×	87 0.6×	58	907
Daisuke Matsuo	297 1.2×	55 0.3×	145 0.8×	156 1.0×	91 0.6×	56	840

Countries citing papers authored by Saumitra Saha

Since Specialization

Citations

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

Fields of papers citing papers by Saumitra Saha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Saumitra Saha

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