Chaitan P. Gupta

2.9k citations
79 papers · 2.3k indexed · h-index 24

Chaitan P. Gupta

75 papers receiving 1.9k citations

Peers

Chaitan P. Gupta
Comparison fields: 5 of 36
  • Numerical Analysis 1.3k
  • Applied Mathematics 1.8k
  • Modeling and Simulation 261
  • Mathematical Physics 359
  • Computational Theory and Mathematics 604
Replace J. R. L. Webb with:
J. R. L. Webb United Kingdom
Patrick J. Rabier United States
Ruyun Ma China
James S. W. Wong Hong Kong
Angelo Favini Italy
O A Oleĭnik Russia
Athanassios G. Kartsatos United States
Jean–Pierre Gossez Belgium
Djairo G. de Figueiredo Brazil
Guido Sweers Netherlands
Chaitan P. Gupta relative to J. R. L. Webb United Kingdom J. R. L. Webb's profile →
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Citations per year

Countries citing papers authored by Chaitan P. Gupta

Since Specialization
Citations

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

Fields of papers citing papers by Chaitan P. Gupta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chaitan P. Gupta. 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 Chaitan P. Gupta. The network helps show where Chaitan P. Gupta may publish in the future.

Co-authorship network

The 21 scholars most cited alongside Chaitan P. Gupta, 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 Chaitan P. Gupta Line = papers co-authored together Chaitan P. Gupta links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Existence and uniqueness of solutions to a super-linear three-point boundary-value problem.
20052
2
A non-resonant multi-point boundary-value problem for a p-Laplacian type operator
20034
3
A new a priori estimate for multi-point boundary-value problem
20017
4 1997151
5 19962
6 199578
7 199445
8 19930
9 1992262
10 19902
11 198911
12 1988116
13 19879
14 198412
15 19783
16 19772
17 19753
18 19751
19
Nonlinear equations of Urysohn's type in a Banach space
19752
20 19704

About Chaitan P. Gupta

Chaitan P. Gupta is a scholar working on Numerical Analysis, Applied Mathematics and Mathematical Physics, having authored 79 papers that have together received 2.3k indexed citations. Recurring topics across this work include Differential Equations and Boundary Problems (46 papers), Differential Equations and Numerical Methods (33 papers), Advanced Mathematical Modeling in Engineering (31 papers), Nonlinear Differential Equations Analysis (24 papers), Spectral Theory in Mathematical Physics (15 papers), Nonlinear Partial Differential Equations (13 papers), Contact Mechanics and Variational Inequalities (11 papers) and Numerical methods for differential equations (9 papers). The work is most often cited by research in Numerical Analysis (1.3k citations), Applied Mathematics (1.8k citations) and Modeling and Simulation (261 citations). Chaitan P. Gupta has collaborated with scholars based in United States, Chile and Greece. Frequent co-authors include Sergei Trofımchuk, Felix E. Browder, Jim Douglas, Douglas N. Arnold, P. Ch. Tsamatos, Sotiris K. Ntouyas, Bruce Calvert, Djairo G. de Figueiredo, Raúl Manásevich and Marta García‐Huidobro. 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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