Nanda Kishore
- Biomedical Engineering top 1%
- Thermochemical Biomass Conversion Processes 53
- Lignin and Wood Chemistry 18
- Catalysis for Biomass Conversion 17
- Biodiesel Production and Applications 16
- Computational Mechanics top 2%
- Lattice Boltzmann Simulation Studies 21
- Fluid Dynamics and Heat Transfer 18
- Mechanical Engineering top 2%
- Catalysis and Hydrodesulfurization Studies 23
- Catalysis top 10%
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- Particle Dynamics in Fluid Flows 17
- Co-authors
- Anjani R.K. GollakotaSai GuAnand Mohan VermaR.P. ChhabraV. EswaranSadhana SachanKai LuoR. Uppaluri
- Journals
- Industrial & Engineering Chemistry Research (8 papers)Chemical Engineering & Technology (5 papers)Renewable Energy (4 papers)
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Nanda Kishore
126 papers receiving 2.7k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Biomedical Engineering 2.0k
- Computational Mechanics 523
- Fluid Flow and Transfer Processes 135
- Mechanical Engineering 791
- Catalysis 116
Countries citing papers authored by Nanda Kishore
This map shows the geographic impact of Nanda Kishore'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 Nanda Kishore with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nanda Kishore more than expected).
Fields of papers citing papers by Nanda Kishore
This network shows the impact of papers produced by Nanda Kishore. 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 Nanda Kishore. The network helps show where Nanda Kishore may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Nanda Kishore, 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 | 2025 | 5 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 6 | |
| 5 | 2024 | 4 | |
| 6 | 2023 | 4 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 15 | |
| 9 | 2022 | 15 | |
| 10 | 2022 | 10 | |
| 11 | 2021 | 11 | |
| 12 | 2021 | 17 | |
| 13 | 2020 | 7 | |
| 14 | 2020 | 4 | |
| 15 | 2019 | 6 | |
| 16 | 2018 | 38 | |
| 17 | 2018 | 10 | |
| 18 | 2018 | 7 | |
| 19 | A review on the upgradation techniques of pyrolysis oilbreakdown → | 2016 | 305 |
| 20 | 2012 | 13 |
About Nanda Kishore
Nanda Kishore is a scholar working on Computational Mechanics, Biomedical Engineering and Fluid Flow and Transfer Processes, having authored 129 papers that have together received 2.7k indexed citations. Recurring topics across this work include Thermochemical Biomass Conversion Processes (53 papers), Catalysis and Hydrodesulfurization Studies (23 papers), Lattice Boltzmann Simulation Studies (21 papers), Fluid Dynamics and Heat Transfer (18 papers), Lignin and Wood Chemistry (18 papers), Catalysis for Biomass Conversion (17 papers), Particle Dynamics in Fluid Flows (17 papers) and Biodiesel Production and Applications (16 papers). The work is most often cited by research in Biomedical Engineering (2.0k citations), Computational Mechanics (523 citations) and Fluid Flow and Transfer Processes (135 citations). Nanda Kishore has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Anjani R.K. Gollakota, Sai Gu, Anand Mohan Verma, R.P. Chhabra, V. Eswaran, Sai Gu, Sadhana Sachan, Kai Luo, R. Uppaluri and G. Pugazhenthi. Their work appears in journals such as Industrial & Engineering Chemistry Research, Chemical Engineering & Technology, Renewable Energy, RSC Advances and Process Safety and Environmental Protection.
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.