Kailash C. Patidar

2.0k citations
116 papers · 1.6k indexed · h-index 22

Kailash C. Patidar

109 papers receiving 1.5k citations

Peers

Kailash C. Patidar
Comparison fields: 5 of 89
  • Numerical Analysis 1.1k
  • Modeling and Simulation 568
  • Computational Theory and Mathematics 387
  • Applied Mathematics 219
  • Computational Mechanics 240
Replace Pratibhamoy Das with:
Pratibhamoy Das India
Higinio Ramos Spain
Rossana Vermiglio Italy
Chengjian Zhang China
Manoj Kumar India
Anurag Shukla India
Stanford Shateyi South Africa
Nguyen Huy Tuan Vietnam
Dongfang Li China
Omar Bazighifan Yemen
Kailash C. Patidar relative to Pratibhamoy Das India Pratibhamoy Das's profile →
Citations per field
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Pratibhamoy Das · 1×
Citations per year

Countries citing papers authored by Kailash C. Patidar

Since Specialization
Citations

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

Fields of papers citing papers by Kailash C. Patidar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kailash C. Patidar. 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 Kailash C. Patidar. The network helps show where Kailash C. Patidar may publish in the future.

Co-authorship network

The 17 scholars most cited alongside Kailash C. Patidar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Kailash C. Patidar Line = papers co-authored together Kailash C. Patidar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20243
2 20210
3 20216
4 20214
5 20204
6 20203
7 20197
8 20193
9 20191
10 20186
11 20186
12 20181
13 20178
14 201614
15
Advanced Audio Steganography technique based on Coefficient Comparison in DCT domain
20151
16 201312
17 20101
18
Variable mesh spline approximation method for solving singularly perturbed turning point problems having interior layer
20103
19
Higher order numerical methods for singularly perturbed elliptic problems
201012
20 200315

About Kailash C. Patidar

Kailash C. Patidar is a scholar working on Numerical Analysis, Modeling and Simulation and Computational Theory and Mathematics, having authored 116 papers that have together received 1.6k indexed citations. Recurring topics across this work include Differential Equations and Numerical Methods (55 papers), Numerical methods for differential equations (27 papers), Advanced Mathematical Modeling in Engineering (22 papers), Advanced Numerical Methods in Computational Mathematics (19 papers), Mathematical and Theoretical Epidemiology and Ecology Models (18 papers), Fractional Differential Equations Solutions (15 papers), Stochastic processes and financial applications (10 papers) and Mathematical Biology Tumor Growth (10 papers). The work is most often cited by research in Numerical Analysis (1.1k citations), Modeling and Simulation (568 citations) and Computational Theory and Mathematics (387 citations). Kailash C. Patidar has collaborated with scholars based in South Africa, India and Namibia. Frequent co-authors include Mohan K. Kadalbajoo, Kolade M. Owolabi, Kapil K. Sharma, Justin B. Munyakazi, Eihab B. M. Bashier, Jean Lubuma, Shirley Abelman, Rachid Ouifki, Edson Pindza and Christiaan Le Roux. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal for Numerical Methods in Engineering and Chaos Solitons & Fractals.

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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