Abhinav Mohan
Impact in
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- Advanced Photocatalysis Techniques
- CO2 Reduction Techniques and Catalysts
- Electrocatalysts for Energy Conversion
- Process Chemistry and Technology top 10%
- Carbon dioxide utilization in catalysis
Papers in
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- Advanced Photocatalysis Techniques 9
- CO2 Reduction Techniques and Catalysts 5
- TiO2 Photocatalysis and Solar Cells 1
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- Catalytic Processes in Materials Science 4
- Covalent Organic Framework Applications 1
- Co-authors
- Athanasios A. Tountas (8 shared papers)Ulrich Ulmer (5 shared papers)Lourdes Hurtado (5 shared papers)Joel Y. Y. Loh (4 shared papers)Geoffrey A. Ozin (6 shared papers)Lu Wang (4 shared papers)Yuchan Dong (3 shared papers)Paul N. Duchesne (4 shared papers)
- Journals
- Advanced Science (3 papers)Nature Communications (2 papers)Chem Catalysis (1 paper)Energy & Environmental Science (1 paper)npj Computational Materials (1 paper)
- Partner nations
- CanadaUnited StatesLebanon
In The Last Decade
Abhinav Mohan
10 papers receiving 371 citations
Peers
Comparison fields: 5 of 36
- Renewable Energy, Sustainability and the Environment 274
- Process Chemistry and Technology 46
- Catalysis 87
- Materials Chemistry 228
- Energy Engineering and Power Technology 14
Countries citing papers authored by Abhinav Mohan
This map shows the geographic impact of Abhinav Mohan'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 Abhinav Mohan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Abhinav Mohan more than expected).
Fields of papers citing papers by Abhinav Mohan
This network shows the impact of papers produced by Abhinav Mohan. 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 Abhinav Mohan. The network helps show where Abhinav Mohan may publish in the future.
Co-authors
The 25 scholars most cited alongside Abhinav Mohan, 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 | 2020 | 127 | |
| 2 | 2019 | 103 | |
| 3 | 2021 | 32 | |
| 4 | 2022 | 32 | |
| 5 | 2020 | 31 | |
| 6 | 2024 | 24 | |
| 7 | 2025 | 22 | |
| 8 | 2024 | 4 | |
| 9 | 2024 | 2 | |
| 10 | 2019 | 1 | |
| 11 | 2025 | 0 |
About Abhinav Mohan
Abhinav Mohan is a scholar working on Renewable Energy, Sustainability and the Environment, Materials Chemistry, Artificial Intelligence, Catalysis and Mechanical Engineering, having authored 11 papers that have together received 378 indexed citations. Recurring topics across this work include Advanced Photocatalysis Techniques (9 papers), CO2 Reduction Techniques and Catalysts (5 papers), Catalytic Processes in Materials Science (4 papers), Gas Sensing Nanomaterials and Sensors (1 paper), Catalysis and Oxidation Reactions (1 paper), TiO2 Photocatalysis and Solar Cells (1 paper), Covalent Organic Framework Applications (1 paper) and Solar Radiation and Photovoltaics (1 paper). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (274 citations), Process Chemistry and Technology (46 citations), Catalysis (87 citations), Materials Chemistry (228 citations) and Energy Engineering and Power Technology (14 citations). Abhinav Mohan has collaborated with scholars based in Canada, United States and Lebanon. Frequent co-authors include Athanasios A. Tountas, Ulrich Ulmer, Lourdes Hurtado, Joel Y. Y. Loh, Geoffrey A. Ozin, Lu Wang, Yuchan Dong, Paul N. Duchesne, Mohini Sain and Wei Sun. Their work appears in journals such as Advanced Science, Nature Communications, Chem Catalysis, Energy & Environmental Science and npj Computational Materials.
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.