Atul Kumar Verma

68 total papers · 1.0k total citations
44 papers, 865 citations indexed

About

Atul Kumar Verma is a scholar working on Condensed Matter Physics, Mathematical Physics and Statistics and Probability. According to data from OpenAlex, Atul Kumar Verma has authored 44 papers receiving a total of 865 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Condensed Matter Physics, 13 papers in Mathematical Physics and 10 papers in Statistics and Probability. Recurrent topics in Atul Kumar Verma's work include Stochastic processes and statistical mechanics (13 papers), Theoretical and Computational Physics (12 papers) and Markov Chains and Monte Carlo Methods (10 papers). Atul Kumar Verma is often cited by papers focused on Stochastic processes and statistical mechanics (13 papers), Theoretical and Computational Physics (12 papers) and Markov Chains and Monte Carlo Methods (10 papers). Atul Kumar Verma collaborates with scholars based in India, United States and Canada. Atul Kumar Verma's co-authors include Sonny C. Lee, Arvind Kumar Gupta, Stuart B. Levy, Thomas B. Rauchfuss, Tong Jiang, Robert L. Bedard, Geoffrey A. Ozin, Sébastien Tanaka, Victoria J. Bartlett and Michael N. Alekshun and has published in prestigious journals such as Nature, Journal of the American Chemical Society and Advanced Materials.

In The Last Decade

Atul Kumar Verma

42 papers receiving 812 citations

Author Peers

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

Author						Papers	Cites
Atul Kumar Verma	191	189	148	137	133	44	865
Miaomiao Chen	202 1.1×	249 1.3×	56 0.4×	21 0.2×	97 0.7×	49	800
Roberto Fernández	101 0.5×	98 0.5×	44 0.3×	14 0.1×	72 0.5×	31	767
Andrew G. Walsh	158 0.8×	528 2.8×	364 2.5×	40 0.3×	86 0.6×	26	964
Iván González	262 1.4×	159 0.8×	37 0.3×	54 0.4×	38 0.3×	65	757
Takuya Kamimura	144 0.8×	354 1.9×	94 0.6×	214 1.6×	47 0.4×	42	855
Scott Han	286 1.5×	413 2.2×	37 0.3×	33 0.2×	215 1.6×	31	963
Katrine Qvortrup	420 2.2×	118 0.6×	45 0.3×	77 0.6×	21 0.2×	51	857
Zhen Li	237 1.2×	164 0.9×	134 0.9×	13 0.1×	84 0.6×	75	933
Heung‐Soo Lee	174 0.9×	291 1.5×	13 0.1×	92 0.7×	296 2.2×	40	865
Jing Yang	39 0.2×	261 1.4×	43 0.3×	35 0.3×	260 2.0×	73	830

Countries citing papers authored by Atul Kumar Verma

Since Specialization

Citations

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

Fields of papers citing papers by Atul Kumar Verma

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Atul Kumar Verma. 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 Atul Kumar Verma. The network helps show where Atul Kumar Verma may publish in the future.

Co-authorship network of co-authors of Atul Kumar Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Atul Kumar Verma. A scholar is included among the top collaborators of Atul Kumar Verma 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 Atul Kumar Verma. Atul Kumar Verma 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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