Rakesh K. Parmar

724 citations
56 papers · 460 indexed · h-index 12
Topics
Mathematical functions and polynomials (51 papers)Advanced Mathematical Identities (26 papers)Fractional Differential Equations Solutions (16 papers)
Partner nations
IndiaHungaryCroatia

In The Last Decade

Rakesh K. Parmar

50 papers receiving 412 citations

Peers

Rakesh K. Parmar
Comparison fields: 5 of 33
  • Applied Mathematics 410
  • Modeling and Simulation 213
  • Algebra and Number Theory 146
  • Numerical Analysis 136
  • Statistical and Nonlinear Physics 36
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Citations per field
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Citations per year

Countries citing papers authored by Rakesh K. Parmar

Since Specialization
Citations

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

Fields of papers citing papers by Rakesh K. Parmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rakesh K. Parmar

This figure shows the co-authorship network connecting the top 25 collaborators of Rakesh K. Parmar. A scholar is included among the top collaborators of Rakesh K. Parmar 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 Rakesh K. Parmar. Rakesh K. Parmar 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 0
2 1
3 1
4 1
5 5
6 3
7 1
8 3
9 5
10
CERTAIN INTEGRAL TRANSFORMS AND FRACTIONAL INTEGRAL FORMULAS FOR THE EXTENDED HYPERGEOMETRIC FUNCTIONS
1
11 0
12 4
13 14
14 1
15
On a new class of integrals involving generalized Mittag-Leffler function
2
16 14
17 3
18
The incomplete generalized $\tau$-hypergeometric and second $\tau$-Appell functions
2
19 7
20
A new generalization of gamma, beta hypergeometric and confluent hypergeometric functions
25

About Rakesh K. Parmar

Rakesh K. Parmar is a scholar working on Algebra and Number Theory, Applied Mathematics and Modeling and Simulation, having authored 56 papers that have together received 460 indexed citations. Recurring topics across this work include Mathematical functions and polynomials (51 papers), Advanced Mathematical Identities (26 papers) and Fractional Differential Equations Solutions (16 papers). The work is most often cited by research in Modeling and Simulation (213 citations), Applied Mathematics (410 citations) and Algebra and Number Theory (146 citations). Rakesh K. Parmar has collaborated with scholars based in India, Hungary and Croatia. Frequent co-authors include Junesang Choi, H. M. Srivastava, Arjun K. Rathie, R. K. Saxena, Tibor K. Pogány, Ram K. Saxena, Sunıl Dutt Purohıt, Ravinder Krishna Raina, Gradimir V. Milovanović and R. B. Paris. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Mathematical Analysis and Applications and Applied Mathematics and Computation.

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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