Manish Pant
Impact in
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- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Computational Mechanics top 10%
- Fluid Dynamics and Turbulent Flows
Papers in
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- Nanofluid Flow and Heat Transfer 11
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- Stock Market Forecasting Methods 5
- Forecasting Techniques and Applications 2
- Co-authors
- Sanjay Kumar (2 shared papers)Sawan Kumar Rawat (12 shared papers)Moh Yaseen (12 shared papers)Ashish Mishra (2 shared papers)Shshank Chaube (2 shared papers)Manoj Kumar (1 shared paper)B. S. Bhadauria (1 shared paper)Ismail Ismail (2 shared papers)
In The Last Decade
Manish Pant
15 papers receiving 296 citations
Peers
Comparison fields: 5 of 43
- Management Science and Operations Research 79
- Computational Mechanics 90
- Biomedical Engineering 177
- Mechanical Engineering 112
- Signal Processing 27
Countries citing papers authored by Manish Pant
This map shows the geographic impact of Manish Pant'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 Manish Pant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Manish Pant more than expected).
Fields of papers citing papers by Manish Pant
This network shows the impact of papers produced by Manish Pant. 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 Manish Pant. The network helps show where Manish Pant may publish in the future.
Co-authors
The 12 scholars most cited alongside Manish Pant, 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 | 82 | |
| 2 | 2023 | 54 | |
| 3 | 2021 | 47 | |
| 4 | 2021 | 31 | |
| 5 | 2024 | 23 | |
| 6 | 2021 | 14 | |
| 7 | 2023 | 13 | |
| 8 | 2025 | 11 | |
| 9 | 2024 | 8 | |
| 10 | 2023 | 8 | |
| 11 | 2025 | 8 | |
| 12 | 2024 | 6 | |
| 13 | 2025 | 2 | |
| 14 | 2025 | 1 | |
| 15 | 2025 | 1 | |
| 16 | 2026 | 0 | |
| 17 | 2025 | 0 | |
| 18 | 2026 | 0 |
About Manish Pant
Manish Pant is a scholar working on Biomedical Engineering, Management Science and Operations Research, Artificial Intelligence, Mechanical Engineering and Computational Mechanics, having authored 18 papers that have together received 309 indexed citations. Recurring topics across this work include Nanofluid Flow and Heat Transfer (11 papers), Stock Market Forecasting Methods (5 papers), Heat Transfer Mechanisms (4 papers), Fuzzy Logic and Control Systems (3 papers), Heat Transfer and Boiling Studies (3 papers), Solar Radiation and Photovoltaics (2 papers), Solar Thermal and Photovoltaic Systems (2 papers) and Forecasting Techniques and Applications (2 papers). The work is most often cited by research in Management Science and Operations Research (79 citations), Computational Mechanics (90 citations), Biomedical Engineering (177 citations), Mechanical Engineering (112 citations) and Signal Processing (27 citations). Manish Pant has collaborated with scholars based in India and Czechia. Frequent co-authors include Sanjay Kumar, Sawan Kumar Rawat, Moh Yaseen, Ashish Mishra, Shshank Chaube, Manoj Kumar, B. S. Bhadauria, Ismail Ismail, Ruchika Malhotra and Bhagawati Prasad Joshi. Their work appears in journals such as Granular Computing, Applied Soft Computing, Mathematics and Computers in Simulation, Thermochimica Acta and Nano-Structures & Nano-Objects.
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.