Rajat Ghosh

67 total papers · 584 total citations
40 papers, 391 citations indexed

About

Rajat Ghosh is a scholar working on Organic Chemistry, Molecular Biology and Statistical and Nonlinear Physics. According to data from OpenAlex, Rajat Ghosh has authored 40 papers receiving a total of 391 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Organic Chemistry, 9 papers in Molecular Biology and 5 papers in Statistical and Nonlinear Physics. Recurrent topics in Rajat Ghosh's work include Model Reduction and Neural Networks (5 papers), Computational Drug Discovery Methods (5 papers) and Heat Transfer and Optimization (5 papers). Rajat Ghosh is often cited by papers focused on Model Reduction and Neural Networks (5 papers), Computational Drug Discovery Methods (5 papers) and Heat Transfer and Optimization (5 papers). Rajat Ghosh collaborates with scholars based in India, United States and Saudi Arabia. Rajat Ghosh's co-authors include Yogendra Joshi, C. D. Sladek, Hal E. Broxmeyer, Arleen D. Auerbach, M S Pollack, Shital K. Chattopadhyay, Abhijit Das, Pratap Chandra Acharya, Jorge M. B. Vítor and Eduarda Mendes and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nature Methods and International Journal of Heat and Mass Transfer.

In The Last Decade

Rajat Ghosh

37 papers receiving 379 citations

Author Peers

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

Author						Papers	Cites
Rajat Ghosh	78	66	60	58	38	40	391
Jang‐Chang Lee	188 2.4×	65 1.0×	24 0.4×	9 0.2×	11 0.3×	26	416
Ke Li	65 0.8×	19 0.3×	30 0.5×	35 0.6×	10 0.3×	23	422
Wenzhe Wang	96 1.2×	22 0.3×	17 0.3×	35 0.6×	7 0.2×	34	436
J. Waddington	91 1.2×	66 1.0×	31 0.5×	21 0.4×	3 0.1×	26	366
Junhui Liu	116 1.5×	42 0.6×	7 0.1×	24 0.4×	6 0.2×	42	433
Jianzhen Liu	166 2.1×	11 0.2×	39 0.7×	7 0.1×	6 0.2×	35	371
Qian Shen	75 1.0×	10 0.2×	14 0.2×	22 0.4×	19 0.5×	62	415
Beibei Huang	199 2.6×	20 0.3×	18 0.3×	9 0.2×	8 0.2×	32	390
P. Mallikarjuna Rao	193 2.5×	40 0.6×	23 0.4×	28 0.5×	2 0.1×	23	372
Elena N. Pivovarova	51 0.7×	22 0.3×	5 0.1×	7 0.1×	49 1.3×	47	384

Countries citing papers authored by Rajat Ghosh

Since Specialization

Citations

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

Fields of papers citing papers by Rajat Ghosh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rajat Ghosh

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