John Grieve
Impact in
- Artificial Intelligence top 5%
- Authorship Attribution and Profiling
- Natural Language Processing Techniques
- Topic Modeling
- Hate Speech and Cyberbullying Detection
- Law top 5%
- Legal Language and Interpretation
Papers in
- Co-authors
- Janet Robertson (2 shared papers)M.J.W. Faed (2 shared papers)K. G. Lowe (1 shared paper)K. Baxby (1 shared paper)Paul L. Padfield (2 shared papers)Christopher R.W. Edwards (2 shared papers)Iain F Gow (1 shared paper)Andrew Elder (1 shared paper)
- Journals
- British journal of surgery (2 papers)Clinical Endocrinology (1 paper)Journal of Clinical Pathology (1 paper)Nature (1 paper)Reproduction (1 paper)
- Partner nations
- United KingdomCanadaAustralia
In The Last Decade
John Grieve
18 papers receiving 383 citations
Peers
Comparison fields: 5 of 71
- Artificial Intelligence 257
- Law 37
- Reproductive Medicine 27
- Linguistics and Language 16
- Urology 13
Countries citing papers authored by John Grieve
This map shows the geographic impact of John Grieve'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 John Grieve with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Grieve more than expected).
Fields of papers citing papers by John Grieve
This network shows the impact of papers produced by John Grieve. 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 John Grieve. The network helps show where John Grieve may publish in the future.
Co-authors
The 21 scholars most cited alongside John Grieve, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 295 | |
| 2 | 1976 | 32 | |
| 3 | 1979 | 28 | |
| 4 | 1992 | 28 | |
| 5 | 1955 | 12 | |
| 6 | 2012 | 12 | |
| 7 | 1961 | 9 | |
| 8 | 1960 | 4 | |
| 9 | 1987 | 4 | |
| 10 | 1976 | 4 | |
| 11 | 1967 | 3 | |
| 12 | 1957 | 3 | |
| 13 | 1967 | 3 | |
| 14 | 1967 | 2 | |
| 15 | 2022 | 2 | |
| 16 | 1964 | 2 | |
| 17 | 1957 | 2 | |
| 18 | 1956 | 2 | |
| 19 | 2021 | 1 | |
| 20 | 1959 | 0 |
About John Grieve
John Grieve is a scholar working on Surgery, Urology, Pediatrics, Perinatology and Child Health, Genetics and Artificial Intelligence, having authored 22 papers that have together received 448 indexed citations. Recurring topics across this work include Urological Disorders and Treatments (5 papers), Pediatric Urology and Nephrology Studies (3 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (3 papers), Urinary and Genital Oncology Studies (3 papers), Ureteral procedures and complications (2 papers), Animal Genetics and Reproduction (2 papers), Natural Language Processing Techniques (2 papers) and Abdominal Trauma and Injuries (2 papers). The work is most often cited by research in Artificial Intelligence (257 citations), Law (37 citations), Reproductive Medicine (27 citations), Linguistics and Language (16 citations) and Urology (13 citations). John Grieve has collaborated with scholars based in United Kingdom, Canada and Australia. Frequent co-authors include Janet Robertson, M.J.W. Faed, K. G. Lowe, K. Baxby, Paul L. Padfield, Christopher R.W. Edwards, Iain F Gow, Andrew Elder, Mark E.C. Dockrell and Brent C. Williams. Their work appears in journals such as British journal of surgery, Clinical Endocrinology, Journal of Clinical Pathology, Nature and Reproduction.
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.