A. K. Varma

546 citations
65 papers · 365 indexed · h-index 10
Topics
Mathematical functions and polynomials (40 papers)Iterative Methods for Nonlinear Equations (22 papers)Advanced Numerical Analysis Techniques (17 papers)

In The Last Decade

A. K. Varma

61 papers receiving 295 citations

Peers

A. K. Varma
Comparison fields: 5 of 29
  • Applied Mathematics 239
  • Numerical Analysis 174
  • Computational Mechanics 98
  • Statistics and Probability 62
  • Computational Theory and Mathematics 42
Replace H. P. Dikshit with:
H. P. Dikshit India
D. D. Stancu Romania
Marcel G. de Bruin Netherlands
D. F. Paget Australia
Giuliana Criscuolo Italy
Alexei Shadrin United Kingdom
Biancamaria Della Vecchia Italy
Eli Levin Israel
Catterina Dagnino Italy
Werner Haußmann Germany
A. K. Varma relative to H. P. Dikshit India H. P. Dikshit's profile →
Citations per field
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H. P. Dikshit · 1×
Citations per year

Countries citing papers authored by A. K. Varma

Since Specialization
Citations

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

Fields of papers citing papers by A. K. Varma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. K. Varma

This figure shows the co-authorship network connecting the top 25 collaborators of A. K. Varma. A scholar is included among the top collaborators of A. K. Varma 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 A. K. Varma. A. K. Varma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Approximation theory : in memory of A.K. Varma
23
2 2
3 2
4 1
5 8
6 3
7 0
8 4
9 8
10 4
11 18
12 21
13 1
14 5
15 2
16 5
17 8
18 9
19 8
20 5

About A. K. Varma

A. K. Varma is a scholar working on Numerical Analysis, Applied Mathematics and Statistics and Probability, having authored 65 papers that have together received 365 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (40 papers), Iterative Methods for Nonlinear Equations (22 papers) and Advanced Numerical Analysis Techniques (17 papers). The work is most often cited by research in Numerical Analysis (174 citations), Applied Mathematics (239 citations) and Modeling and Simulation (39 citations). A. K. Varma has collaborated with scholars based in United States, Hungary and Canada. Frequent co-authors include A. Sharma, N. K. Govil, J. Szabados, P. Vértesi, Jagdish Prasad, K.L. Katsifarakis, P. Erdös, Paul Nevai and Edmund Landau. Their work appears in journals such as SIAM Journal on Numerical Analysis, Journal of Mathematical Analysis and Applications and Transactions of the American Mathematical Society.

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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