David May
Impact in
- Food Science top 10%
- Food Waste Reduction and Sustainability
- Food Supply Chain Traceability
- Information Systems top 5%
- Blockchain Technology Applications and Security
Papers in
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- Blockchain Technology Applications and Security 3
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- Privacy-Preserving Technologies in Data 2
- Co-authors
- Georgios Leontidis (3 shared papers)Jessica Enright (2 shared papers)Milan Marković (2 shared papers)David R. Matthews (2 shared papers)Mark Swainson (1 shared paper)Luc Bidaut (1 shared paper)Simon Pearson (1 shared paper)Gerard Parr (1 shared paper)
- Journals
- Global Food Security (2 papers)Journal of managerial issues (1 paper)Speech Language and Hearing (1 paper)Computers and Electronics in Agriculture (1 paper)Journal of the American College of Cardiology (1 paper)
- Partner nations
- United KingdomUnited StatesAustralia
In The Last Decade
David May
6 papers receiving 292 citations
Peers
Comparison fields: 5 of 72
- Food Science 119
- Information Systems 123
- Business and International Management 8
- Management Information Systems 35
- Strategy and Management 52
Countries citing papers authored by David May
This map shows the geographic impact of David May'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 David May with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David May more than expected).
Fields of papers citing papers by David May
This network shows the impact of papers produced by David May. 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 David May. The network helps show where David May may publish in the future.
Co-authors
The 23 scholars most cited alongside David May, 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 | 163 | |
| 2 | 2021 | 75 | |
| 3 | 2021 | 54 | |
| 4 | 1969 | 10 | |
| 5 | Survival in the Korean Furniture Industry: Value-Chain Networking | 2003 | 3 |
| 6 | 2024 | 1 | |
| 7 | 2013 | 0 |
About David May
David May is a scholar working on Information Systems, Artificial Intelligence, Computer Networks and Communications, Strategy and Management and Pediatrics, Perinatology and Child Health, having authored 7 papers that have together received 306 indexed citations. Recurring topics across this work include Blockchain Technology Applications and Security (3 papers), Privacy-Preserving Technologies in Data (2 papers), IoT and Edge/Fog Computing (1 paper), Food Waste Reduction and Sustainability (1 paper), Metabolism and Genetic Disorders (1 paper), Innovation and Knowledge Management (1 paper), Entrepreneurship Studies and Influences (1 paper) and Hearing Impairment and Communication (1 paper). The work is most often cited by research in Food Science (119 citations), Information Systems (123 citations), Business and International Management (8 citations), Management Information Systems (35 citations) and Strategy and Management (52 citations). David May has collaborated with scholars based in United Kingdom, United States and Australia. Frequent co-authors include Georgios Leontidis, Jessica Enright, Milan Marković, David R. Matthews, Mark Swainson, Luc Bidaut, Simon Pearson, Gerard Parr, Andrea Zisman and Roger Maull. Their work appears in journals such as Global Food Security, Journal of managerial issues, Speech Language and Hearing, Computers and Electronics in Agriculture and Journal of the American College of Cardiology.
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.