Prasenjit Acharya

26 total papers · 527 total citations
20 papers, 384 citations indexed

About

Prasenjit Acharya is a scholar working on Global and Planetary Change, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Prasenjit Acharya has authored 20 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 8 papers in Atmospheric Science and 6 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Prasenjit Acharya's work include Atmospheric chemistry and aerosols (6 papers), Air Quality and Health Impacts (6 papers) and Atmospheric aerosols and clouds (5 papers). Prasenjit Acharya is often cited by papers focused on Atmospheric chemistry and aerosols (6 papers), Air Quality and Health Impacts (6 papers) and Atmospheric aerosols and clouds (5 papers). Prasenjit Acharya collaborates with scholars based in India, United States and Sri Lanka. Prasenjit Acharya's co-authors include Rajesh Kumar, Pritam Chand, S. Sreekesh, Somnath Bar, Surajit Ghosh, Ashis Sarkar, Nilanjana Das Chatterjee, G. Roberts, Bikash Ranjan Parida and Umesh Chandra Kulshrestha and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and International Journal of Remote Sensing.

In The Last Decade

Prasenjit Acharya

20 papers receiving 372 citations

Author Peers

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

Author						Papers	Cites
Prasenjit Acharya	240	97	89	87	75	20	384
Kesar Chand	303 1.3×	138 1.4×	112 1.3×	78 0.9×	78 1.0×	29	431
Ziqiang Du	317 1.3×	90 0.9×	64 0.7×	183 2.1×	36 0.5×	33	439
Shengkun Li	302 1.3×	56 0.6×	45 0.5×	152 1.7×	47 0.6×	13	434
Boglárka Bertalan-Balázs	181 0.8×	48 0.5×	95 1.1×	103 1.2×	43 0.6×	14	378
David Moncoulon	210 0.9×	101 1.0×	100 1.1×	42 0.5×	22 0.3×	25	428
William M. Marsh	104 0.4×	82 0.8×	64 0.7×	89 1.0×	21 0.3×	19	384
Sonomdagva Chonokhuu	116 0.5×	78 0.8×	54 0.6×	121 1.4×	98 1.3×	23	389
Si Ha	189 0.8×	100 1.0×	37 0.4×	109 1.3×	33 0.4×	18	352
Xinfeng Zhao	104 0.4×	58 0.6×	67 0.8×	78 0.9×	80 1.1×	19	423
Tsolmon Renchin	180 0.8×	92 0.9×	117 1.3×	115 1.3×	15 0.2×	24	341

Countries citing papers authored by Prasenjit Acharya

Since Specialization

Citations

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

Fields of papers citing papers by Prasenjit Acharya

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Prasenjit Acharya

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