Peter McCloskey
Impact in
- Plant Science top 10%
- Smart Agriculture and AI
- Date Palm Research Studies
- Plant Disease Management Techniques
- Plant Virus Research Studies
- Leaf Properties and Growth Measurement
- Analytical Chemistry top 10%
- Spectroscopy and Chemometric Analyses
Papers in
-
- Nutritional Studies and Diet 4
- Ecology 3
- Remote Sensing in Agriculture 3
- Co-authors
- David Peter Hughes (10 shared papers)Amanda M. Ramcharan (2 shared papers)Mathias Ndalahwa (2 shared papers)Latifa M. Mrisho (2 shared papers)James Peter Legg (2 shared papers)Aulo Gelli (7 shared papers)Phuong Hong Nguyen (6 shared papers)Gloria K. Folson (7 shared papers)
- Journals
- American Journal of Clinical Nutrition (2 papers)Frontiers in Plant Science (2 papers)Journal of Nutrition (2 papers)Remote Sensing (1 paper)IEEE Internet of Things Journal (1 paper)
- Partner nations
- United StatesGhanaVietnam
In The Last Decade
Peter McCloskey
14 papers receiving 390 citations
Peers
Comparison fields: 5 of 70
- Plant Science 236
- Analytical Chemistry 58
- Health Informatics 3
- Ecology 48
- Health Information Management 7
Countries citing papers authored by Peter McCloskey
This map shows the geographic impact of Peter McCloskey'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 Peter McCloskey with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter McCloskey more than expected).
Fields of papers citing papers by Peter McCloskey
This network shows the impact of papers produced by Peter McCloskey. 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 Peter McCloskey. The network helps show where Peter McCloskey may publish in the future.
Co-authors
The 25 scholars most cited alongside Peter McCloskey, 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 | 2019 | 198 | |
| 2 | 2020 | 58 | |
| 3 | 2022 | 35 | |
| 4 | 2023 | 28 | |
| 5 | 2022 | 19 | |
| 6 | 2020 | 18 | |
| 7 | 2023 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2024 | 8 | |
| 10 | 2020 | 8 | |
| 11 | 2021 | 5 | |
| 12 | 2022 | 4 | |
| 13 | 2021 | 2 | |
| 14 | 2026 | 1 |
About Peter McCloskey
Peter McCloskey is a scholar working on Public Health, Environmental and Occupational Health, Ecology, Plant Science, Computer Science Applications and Management Science and Operations Research, having authored 14 papers that have together received 403 indexed citations. Recurring topics across this work include Nutritional Studies and Diet (4 papers), Remote Sensing in Agriculture (3 papers), Smart Agriculture and AI (3 papers), Insect and Arachnid Ecology and Behavior (1 paper), Cassava research and cyanide (1 paper), Auction Theory and Applications (1 paper), Mobile Health and mHealth Applications (1 paper) and Date Palm Research Studies (1 paper). The work is most often cited by research in Plant Science (236 citations), Analytical Chemistry (58 citations), Health Informatics (3 citations), Ecology (48 citations) and Health Information Management (7 citations). Peter McCloskey has collaborated with scholars based in United States, Ghana and Vietnam. Frequent co-authors include David Peter Hughes, Amanda M. Ramcharan, Mathias Ndalahwa, Latifa M. Mrisho, James Peter Legg, Aulo Gelli, Phuong Hong Nguyen, Gloria K. Folson, F. P. Doyle and Lan Mai Tran. Their work appears in journals such as American Journal of Clinical Nutrition, Frontiers in Plant Science, Journal of Nutrition, Remote Sensing and IEEE Internet of Things Journal.
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.