Niraj Verma
Impact in
- Soil Science top 10%
- Agricultural risk and resilience
- Urban Studies top 5%
- Urban Planning and Governance
Papers in
-
- Protein Structure and Dynamics 5
-
- Income, Poverty, and Inequality 2
- Co-authors
- Elfi Kraka (14 shared papers)Daniel Clarke (4 shared papers)Olivier Mahul (4 shared papers)Peng Tao (7 shared papers)Marek Freindorf (4 shared papers)Renaldo T. Moura (1 shared paper)Wenli Zou (3 shared papers)Vytor Oliveira (2 shared papers)
- Journals
- Journal of Planning Education and Research (4 papers)International Journal of Molecular Sciences (4 papers)Journal of Chemical Theory and Computation (2 papers)Planning Theory & Practice (1 paper)Journal of Molecular Modeling (1 paper)
- Partner nations
- United StatesChinaBrazil
In The Last Decade
Niraj Verma
36 papers receiving 646 citations
Peers
Comparison fields: 5 of 122
- Soil Science 109
- Urban Studies 66
- Physical and Theoretical Chemistry 78
- Computational Theory and Mathematics 100
- General Agricultural and Biological Sciences 49
Countries citing papers authored by Niraj Verma
This map shows the geographic impact of Niraj Verma'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 Niraj Verma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Niraj Verma more than expected).
Fields of papers citing papers by Niraj Verma
This network shows the impact of papers produced by Niraj Verma. 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 Niraj Verma. The network helps show where Niraj Verma may publish in the future.
Co-authors
The 25 scholars most cited alongside Niraj Verma, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 90 | |
| 2 | 2023 | 62 | |
| 3 | Institutions and Planning | 2007 | 43 |
| 4 | 2020 | 41 | |
| 5 | 2021 | 40 | |
| 6 | 2019 | 40 | |
| 7 | 2021 | 36 | |
| 8 | 2021 | 36 | |
| 9 | 2019 | 36 | |
| 10 | 1996 | 29 | |
| 11 | 2018 | 25 | |
| 12 | 2012 | 22 | |
| 13 | 1993 | 20 | |
| 14 | 2021 | 18 | |
| 15 | 2021 | 17 | |
| 16 | 2012 | 16 | |
| 17 | 2022 | 14 | |
| 18 | Microfinance in South Asia : toward financial inclusion for the poor | 2006 | 13 |
| 19 | 1995 | 12 | |
| 20 | 2004 | 11 |
About Niraj Verma
Niraj Verma is a scholar working on Molecular Biology, Sociology and Political Science, Computational Theory and Mathematics, Materials Chemistry and Organic Chemistry, having authored 38 papers that have together received 691 indexed citations. Recurring topics across this work include Computational Drug Discovery Methods (6 papers), Protein Structure and Dynamics (5 papers), Agricultural risk and resilience (4 papers), Crystallography and molecular interactions (4 papers), Agricultural Economics and Practices (3 papers), Urban Planning and Governance (3 papers), Machine Learning in Materials Science (3 papers) and Income, Poverty, and Inequality (2 papers). The work is most often cited by research in Soil Science (109 citations), Urban Studies (66 citations), Physical and Theoretical Chemistry (78 citations), Computational Theory and Mathematics (100 citations) and General Agricultural and Biological Sciences (49 citations). Niraj Verma has collaborated with scholars based in United States, China and Brazil. Frequent co-authors include Elfi Kraka, Daniel Clarke, Olivier Mahul, Peng Tao, Marek Freindorf, Renaldo T. Moura, Wenli Zou, Vytor Oliveira, Eric C. Larson and Brian D. Zoltowski. Their work appears in journals such as Journal of Planning Education and Research, International Journal of Molecular Sciences, Journal of Chemical Theory and Computation, Planning Theory & Practice and Journal of Molecular Modeling.
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.