Amit K. Verma

129 total papers · 1.1k total citations
80 papers, 835 citations indexed

About

Amit K. Verma is a scholar working on Numerical Analysis, Modeling and Simulation and Applied Mathematics. According to data from OpenAlex, Amit K. Verma has authored 80 papers receiving a total of 835 indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Numerical Analysis, 42 papers in Modeling and Simulation and 35 papers in Applied Mathematics. Recurrent topics in Amit K. Verma's work include Fractional Differential Equations Solutions (42 papers), Differential Equations and Numerical Methods (33 papers) and Nonlinear Differential Equations Analysis (23 papers). Amit K. Verma is often cited by papers focused on Fractional Differential Equations Solutions (42 papers), Differential Equations and Numerical Methods (33 papers) and Nonlinear Differential Equations Analysis (23 papers). Amit K. Verma collaborates with scholars based in India, United States and Italy. Amit K. Verma's co-authors include R.K. Pandey, Ravi P. Agarwal, Reuben Ramphal, Evgeny Vinogradov, Pierre Thibault, Shiwani K. Arora, Susan M. Logan, Michael Schirm, Carlo Cattani and K. Singh and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bacteriology and Journal of Mathematical Analysis and Applications.

In The Last Decade

Amit K. Verma

70 papers receiving 806 citations

Author Peers

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

Author Last Decade Papers Cites
Amit K. Verma 570 498 196 193 118 80 835
Somayeh Mashayekhi 510 0.9× 341 0.7× 174 0.9× 195 1.0× 104 0.9× 29 769
Edson Pindza 434 0.8× 199 0.4× 141 0.7× 82 0.4× 31 0.3× 67 782
A. S. Alofi 466 0.8× 320 0.6× 325 1.7× 106 0.5× 51 0.4× 39 950
Jacky Cresson 357 0.6× 149 0.3× 325 1.7× 160 0.8× 49 0.4× 59 717
V. V. Gafiychuk 599 1.1× 247 0.5× 152 0.8× 263 1.4× 77 0.7× 43 845
Ahmad Izani Md. Ismail 512 0.9× 403 0.8× 159 0.8× 93 0.5× 93 0.8× 72 936
Iqbal M. Batiha 519 0.9× 198 0.4× 270 1.4× 192 1.0× 21 0.2× 125 916
Samir Hadid 822 1.4× 295 0.6× 273 1.4× 334 1.7× 39 0.3× 46 1.0k
Mohammad Izadi 654 1.1× 395 0.8× 245 1.3× 189 1.0× 38 0.3× 106 1.0k
Hossein Hassani 570 1.0× 351 0.7× 161 0.8× 132 0.7× 59 0.5× 53 742

Countries citing papers authored by Amit K. Verma

Since Specialization
Citations

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

Fields of papers citing papers by Amit K. Verma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amit K. Verma

This figure shows the co-authorship network connecting the top 25 collaborators of Amit K. Verma. A scholar is included among the top collaborators of Amit K. 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 Amit K. Verma. Amit K. 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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2026