Philip Leith
Impact in
- Law top 2%
- Legal Education and Practice Innovations
- Law in Society and Culture
- Comparative and International Law Studies
-
- Artificial Intelligence in Law
- E-Government and Public Services
Papers in
-
- Artificial Intelligence in Law 20
- Law 24
- Legal Education and Practice Innovations 17
- Comparative and International Law Studies 8
- Law in Society and Culture 6
- Co-authors
- John Morison (3 shared papers)C. E. Fellows (1 shared paper)Subhajit Basu (2 shared papers)Joe Duffy (1 shared paper)David Newman (1 shared paper)J. M. Morrison (1 shared paper)
- Journals
- International Review of Law Computers & Technology (8 papers)The Computer Journal (3 papers)International Journal of Law and Information Technology (3 papers)Software Practice and Experience (2 papers)Artificial Intelligence Review (1 paper)
- Partner nations
- United KingdomRussiaIreland
In The Last Decade
Philip Leith
43 papers receiving 225 citations
Peers
Comparison fields: 5 of 63
- Law 82
- Political Science and International Relations 122
- Artificial Intelligence 116
- Communication 17
- Safety Research 16
Countries citing papers authored by Philip Leith
This map shows the geographic impact of Philip Leith'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 Philip Leith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip Leith more than expected).
Fields of papers citing papers by Philip Leith
This network shows the impact of papers produced by Philip Leith. 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 Philip Leith. The network helps show where Philip Leith may publish in the future.
Co-authors
The 6 scholars most cited alongside Philip Leith, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 31 | |
| 2 | THE RISE AND FALL OF THE LEGAL EXPERT SYSTEM | 2010 | 26 |
| 3 | 1998 | 24 | |
| 4 | The Barrister's World: And the Nature of Law | 1991 | 23 |
| 5 | 2016 | 17 | |
| 6 | 2004 | 14 | |
| 7 | 1983 | 13 | |
| 8 | 1988 | 11 | |
| 9 | 1991 | 11 | |
| 10 | 1998 | 10 | |
| 11 | 1998 | 10 | |
| 12 | 2007 | 8 | |
| 13 | 1991 | 7 | |
| 14 | 2004 | 7 | |
| 15 | 1987 | 5 | |
| 16 | 1986 | 5 | |
| 17 | 2009 | 4 | |
| 18 | 2001 | 4 | |
| 19 | 2000 | 4 | |
| 20 | 2006 | 3 |
About Philip Leith
Philip Leith is a scholar working on Political Science and International Relations, Law, Sociology and Political Science, Artificial Intelligence and Strategy and Management, having authored 60 papers that have together received 280 indexed citations. Recurring topics across this work include Artificial Intelligence in Law (20 papers), Legal Education and Practice Innovations (17 papers), Comparative and International Law Studies (8 papers), Law in Society and Culture (6 papers), Dispute Resolution and Class Actions (5 papers), Intellectual Property and Patents (4 papers), Social Media and Politics (4 papers) and Multi-Agent Systems and Negotiation (3 papers). The work is most often cited by research in Law (82 citations), Political Science and International Relations (122 citations), Artificial Intelligence (116 citations), Communication (17 citations) and Safety Research (16 citations). Philip Leith has collaborated with scholars based in United Kingdom, Russia and Ireland. Frequent co-authors include John Morison, C. E. Fellows, Subhajit Basu, Joe Duffy, David Newman and J. M. Morrison. Their work appears in journals such as International Review of Law Computers & Technology, The Computer Journal, International Journal of Law and Information Technology, Software Practice and Experience and Artificial Intelligence Review.
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.