Nirav Merchant
Impact in
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- Scientific Computing and Data Management
- Ecological Modeling top 10%
- Species Distribution and Climate Change
Papers in ⓘ
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- Scientific Computing and Data Management 15
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- Genomics and Phylogenetic Studies 3
- Co-authors
- Matthew Vaughn (6 shared papers)Eric Lyons (7 shared papers)Doreen Ware (2 shared papers)David Micklos (1 shared paper)Parker B. Antin (1 shared paper)Stephen A. Goff (1 shared paper)Dan Stanzione (3 shared papers)Edwin Skidmore (7 shared papers)
- Journals
- Frontiers in Plant Science (2 papers)The FASEB Journal (2 papers)Trends in Plant Science (2 papers)Journal of Nutrition Education and Behavior (2 papers)BioScience (1 paper)
- Partner nations
- United StatesAustraliaCanada
In The Last Decade
Nirav Merchant
51 papers receiving 997 citations
Peers
Comparison fields: 5 of 161
- Information Systems and Management 189
- Ecological Modeling 52
- Information Systems 164
- Plant Science 212
- Ecology 141
Countries citing papers authored by Nirav Merchant
This map shows the geographic impact of Nirav Merchant'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 Nirav Merchant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nirav Merchant more than expected).
Fields of papers citing papers by Nirav Merchant
This network shows the impact of papers produced by Nirav Merchant. 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 Nirav Merchant. The network helps show where Nirav Merchant may publish in the future.
Co-authors
The 25 scholars most cited alongside Nirav Merchant, 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 54 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 219 | |
| 2 | 2009 | 115 | |
| 3 | 2015 | 112 | |
| 4 | 2021 | 80 | |
| 5 | 2004 | 60 | |
| 6 | 2008 | 45 | |
| 7 | 2015 | 39 | |
| 8 | 2023 | 31 | |
| 9 | 2016 | 26 | |
| 10 | 2013 | 26 | |
| 11 | 2017 | 25 | |
| 12 | 2021 | 21 | |
| 13 | 2005 | 20 | |
| 14 | 2011 | 14 | |
| 15 | 2011 | 14 | |
| 16 | 2015 | 12 | |
| 17 | 2016 | 12 | |
| 18 | 2022 | 11 | |
| 19 | 2023 | 10 | |
| 20 | 2021 | 10 |
About Nirav Merchant
Nirav Merchant is a scholar working on Information Systems and Management, Molecular Biology, Information Systems, Plant Science and Computer Networks and Communications, having authored 54 papers that have together received 1.0k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (15 papers), Mobile Health and mHealth Applications (6 papers), Distributed and Parallel Computing Systems (6 papers), Research Data Management Practices (5 papers), Smart Agriculture and AI (4 papers), Genomics and Phylogenetic Studies (3 papers), Species Distribution and Climate Change (3 papers) and Advanced Data Storage Technologies (3 papers). The work is most often cited by research in Information Systems and Management (189 citations), Ecological Modeling (52 citations), Information Systems (164 citations), Plant Science (212 citations) and Ecology (141 citations). Nirav Merchant has collaborated with scholars based in United States, Australia and Canada. Frequent co-authors include Matthew Vaughn, Eric Lyons, Doreen Ware, David Micklos, Parker B. Antin, Stephen A. Goff, Dan Stanzione, Edwin Skidmore, Asheesh K. Singh and Baskar Ganapathysubramanian. Their work appears in journals such as Frontiers in Plant Science, The FASEB Journal, Trends in Plant Science, Journal of Nutrition Education and Behavior and BioScience.
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.