Arjun Neupane
Impact in
- Analytical Chemistry top 5%
- Spectroscopy and Chemometric Analyses
- Health Informatics top 10%
Papers in
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- Smart Agriculture and AI 11
- Date Palm Research Studies 5
- Nematode management and characterization studies 4
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- E-Government and Public Services 6
- Co-authors
- Tej Bahadur Shahi (14 shared papers)William Guo (7 shared papers)Kishor Vaidya (6 shared papers)Jeffrey Soar (6 shared papers)Cheng‐Yuan Xu (4 shared papers)Mohan Bhandari (4 shared papers)Chiranjibi Sitaula (2 shared papers)Ashish Shrestha (1 shared paper)
In The Last Decade
Arjun Neupane
26 papers receiving 801 citations
Arjun Neupane's Hit Papers
Peers
Comparison fields: 5 of 117
- Analytical Chemistry 114
- Health Informatics 15
- Management Science and Operations Research 105
- Plant Science 292
- Strategy and Management 101
Countries citing papers authored by Arjun Neupane
This map shows the geographic impact of Arjun Neupane'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 Arjun Neupane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun Neupane more than expected).
Fields of papers citing papers by Arjun Neupane
This network shows the impact of papers produced by Arjun Neupane. 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 Arjun Neupane. The network helps show where Arjun Neupane may publish in the future.
Co-authors
The 25 scholars most cited alongside Arjun Neupane, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Recent Advances in Crop Disease Detection Using UAV and Deep Learning Techniques Hit paper breakdown → | 2023 | 132 |
| 2 | 2020 | 103 | |
| 3 | 2022 | 100 | |
| 4 | 2022 | 93 | |
| 5 | 2014 | 44 | |
| 6 | 2014 | 41 | |
| 7 | Role of public e-procurement technology to reduce corruption in government procurement | 2012 | 39 |
| 8 | 2023 | 38 | |
| 9 | 2022 | 35 | |
| 10 | 2022 | 33 | |
| 11 | 2023 | 28 | |
| 12 | 2012 | 19 | |
| 13 | 2012 | 19 | |
| 14 | 2024 | 17 | |
| 15 | 2023 | 16 | |
| 16 | 2023 | 15 | |
| 17 | 2022 | 14 | |
| 18 | 2023 | 14 | |
| 19 | 2023 | 11 | |
| 20 | 2023 | 11 |
About Arjun Neupane
Arjun Neupane is a scholar working on Plant Science, Political Science and International Relations, Strategy and Management, Ecology and Analytical Chemistry, having authored 32 papers that have together received 852 indexed citations. Recurring topics across this work include Smart Agriculture and AI (11 papers), Spectroscopy and Chemometric Analyses (6 papers), Remote Sensing in Agriculture (6 papers), Public Procurement and Policy (6 papers), E-Government and Public Services (6 papers), Date Palm Research Studies (5 papers), Nematode management and characterization studies (4 papers) and FinTech, Crowdfunding, Digital Finance (3 papers). The work is most often cited by research in Analytical Chemistry (114 citations), Health Informatics (15 citations), Management Science and Operations Research (105 citations), Plant Science (292 citations) and Strategy and Management (101 citations). Arjun Neupane has collaborated with scholars based in Australia, Nepal and Fiji. Frequent co-authors include Tej Bahadur Shahi, William Guo, Kishor Vaidya, Jeffrey Soar, Cheng‐Yuan Xu, Mohan Bhandari, Chiranjibi Sitaula, Ashish Shrestha, Jianming Yong and Kerry B. Walsh. Their work appears in journals such as Agronomy, Remote Sensing, PLoS ONE, Biosensors and Bioelectronics X and Transforming Government People Process and Policy.
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.