A. K. Tripathy
- Numerical Analysis top 5%
- Differential Equations and Numerical Methods 23
- Applied Mathematics top 5%
- Nonlinear Differential Equations Analysis 23
- Differential Equations and Boundary Problems 13
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- Immunotherapy and Immune Responses 5
- Immune Response and Inflammation 3
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- Mathematical and Theoretical Epidemiology and Ecology Models 5
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- Optimization and Variational Analysis 3
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- Fixed Point Theorems Analysis 2
- Co-authors
- N. ParhiBhawna GuptaSunil K. RaghavPrasanta PadhanShyam Sundar SantraShweta KhannaShuchi SmitaBinay Panda
- Journals
- SHILAP Revista de lepidopterología (1 paper)Scientific Reports (1 paper)Frontiers in Immunology (1 paper)
- Partner nations
- IndiaSwitzerlandSingapore
In The Last Decade
A. K. Tripathy
39 papers receiving 269 citations
Peers
Comparison fields: 5 of 70
- Numerical Analysis 158
- Applied Mathematics 168
- Modeling and Simulation 16
- Rheumatology 31
- Immunology 41
Countries citing papers authored by A. K. Tripathy
This map shows the geographic impact of A. K. Tripathy'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. Tripathy 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. Tripathy more than expected).
Fields of papers citing papers by A. K. Tripathy
This network shows the impact of papers produced by A. K. Tripathy. 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. Tripathy. The network helps show where A. K. Tripathy may publish in the future.
Co-authorship network
The 19 scholars most cited alongside A. K. Tripathy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 14 | |
| 2 | 2022 | 8 | |
| 3 | 2022 | 8 | |
| 4 | 2021 | 9 | |
| 5 | 2021 | 14 | |
| 6 | 2020 | 16 | |
| 7 | 2019 | 2 | |
| 8 | 2018 | 10 | |
| 9 | 2017 | 0 | |
| 10 | 2017 | 14 | |
| 11 | 2017 | 45 | |
| 12 | 2017 | 1 | |
| 13 | 2013 | 3 | |
| 14 | 2011 | 4 | |
| 15 | Oscillation properties of a class of neutral differential equations with positive and negative coefficients | 2010 | 6 |
| 16 | 2008 | 3 | |
| 17 | 2008 | 6 | |
| 18 | Oscillation propertiesS of a class of second order impulsive di¤erential systems of neutral type | 2004 | 2 |
| 19 | 2003 | 29 | |
| 20 | On asymptotic behaviour and oscillation of forced first order nonlinear neutral difference equations | 2001 | 4 |
About A. K. Tripathy
A. K. Tripathy is a scholar working on Numerical Analysis, Applied Mathematics and Geometry and Topology, having authored 40 papers that have together received 309 indexed citations. Recurring topics across this work include Nonlinear Differential Equations Analysis (23 papers), Differential Equations and Numerical Methods (23 papers), Differential Equations and Boundary Problems (13 papers), Immunotherapy and Immune Responses (5 papers), Mathematical and Theoretical Epidemiology and Ecology Models (5 papers), Optimization and Variational Analysis (3 papers), Immune Response and Inflammation (3 papers) and Fixed Point Theorems Analysis (2 papers). The work is most often cited by research in Numerical Analysis (158 citations), Applied Mathematics (168 citations) and Modeling and Simulation (16 citations). A. K. Tripathy has collaborated with scholars based in India, Switzerland and Singapore. Frequent co-authors include N. Parhi, Bhawna Gupta, Sunil K. Raghav, Prasanta Padhan, Shyam Sundar Santra, Shweta Khanna, Shuchi Smita, Binay Panda, S. Panigrahi and Ankit Jain. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Immunology.
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.