Arvind Kumar Singh

99 total papers · 504 total citations
52 papers, 351 citations indexed

About

Arvind Kumar Singh is a scholar working on Numerical Analysis, Modeling and Simulation and Infectious Diseases. According to data from OpenAlex, Arvind Kumar Singh has authored 52 papers receiving a total of 351 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Numerical Analysis, 10 papers in Modeling and Simulation and 5 papers in Infectious Diseases. Recurrent topics in Arvind Kumar Singh's work include Fractional Differential Equations Solutions (9 papers), Iterative Methods for Nonlinear Equations (8 papers) and Differential Equations and Numerical Methods (6 papers). Arvind Kumar Singh is often cited by papers focused on Fractional Differential Equations Solutions (9 papers), Iterative Methods for Nonlinear Equations (8 papers) and Differential Equations and Numerical Methods (6 papers). Arvind Kumar Singh collaborates with scholars based in India, United States and Austria. Arvind Kumar Singh's co-authors include R.K. Pandey, A. K. Misra, Shiv Lal, Govindasamy Kumaramanickavel, Catherine A. McCarty, Sundaram Natarajan, Albert Scherpbier, Fred Stevens, Radhika Srinivasan and Kusum Lata and has published in prestigious journals such as SHILAP Revista de lepidopterología, Investigative Ophthalmology & Visual Science and Clinical Journal of the American Society of Nephrology.

In The Last Decade

Arvind Kumar Singh

46 papers receiving 331 citations

Author Peers

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

Author						Papers	Cites
Arvind Kumar Singh	145	130	56	53	42	52	351
Swati Yadav	123 0.8×	114 0.9×	17 0.3×	32 0.6×	9 0.2×	38	333
Julia Calatayud	88 0.6×	50 0.4×	55 1.0×	6 0.1×		55	340
Takao Fujimoto	48 0.3×	64 0.5×	43 0.8×	63 1.2×		55	403
Carmen Coll	65 0.4×	49 0.4×	52 0.9×	2 0.0×	2 0.0×	52	348
Yanqin Liu	211 1.5×	123 0.9×	25 0.4×	45 0.8×		29	323
Sonal Jain	291 2.0×	81 0.6×	114 2.0×	13 0.2×		37	371
Ying Zhang	84 0.6×	62 0.5×	7 0.1×	34 0.6×		34	336
Youngjoon Hong	72 0.5×	45 0.3×	13 0.2×	13 0.2×		54	320
Vivek Kumar	115 0.8×	134 1.0×	95 1.7×	22 0.4×		51	382
Leila Torkzadeh	167 1.2×	110 0.8×	40 0.7×	12 0.2×		37	312

Countries citing papers authored by Arvind Kumar Singh

Since Specialization

Citations

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

Fields of papers citing papers by Arvind Kumar Singh

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arvind Kumar Singh

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