John Guiver
Impact in
-
- Mobile Crowdsensing and Crowdsourcing
- Artificial Intelligence top 2%
- Data Stream Mining Techniques
- Machine Learning and Algorithms
- Topic Modeling
Papers in
-
- Topic Modeling 3
- Data Stream Mining Techniques 3
-
- Opinion Dynamics and Social Influence 5
- Co-authors
- Tom Minka (3 shared papers)Edward Snelson (3 shared papers)Stephen Robertson (2 shared papers)N.K. Bose (3 shared papers)Michael Taylor (2 shared papers)N.K. Bose (4 shared papers)Pushmeet Kohli (6 shared papers)Matteo Venanzi (4 shared papers)
- Journals
- ACM SIGPLAN Notices (1 paper)IEEE Transactions on Automatic Control (1 paper)PLoS Medicine (1 paper)Journal of Artificial Intelligence Research (1 paper)ACM Transactions on Information Systems (1 paper)
- Partner nations
- United KingdomUnited StatesIsrael
In The Last Decade
John Guiver
29 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 107
- Computer Science Applications 313
- Artificial Intelligence 644
- Immunology and Allergy 75
- Information Systems 311
- Management Science and Operations Research 165
Countries citing papers authored by John Guiver
This map shows the geographic impact of John Guiver'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 Guiver with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Guiver more than expected).
Fields of papers citing papers by John Guiver
This network shows the impact of papers produced by John Guiver. 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 Guiver. The network helps show where John Guiver may publish in the future.
Co-authors
The 25 scholars most cited alongside John Guiver, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 229 | |
| 2 | 2014 | 191 | |
| 3 | 2014 | 181 | |
| 4 | 2009 | 108 | |
| 5 | 2012 | 98 | |
| 6 | 1982 | 64 | |
| 7 | Multidimensional systems theory : progress, directions and open problems in multidimensional systems | 1985 | 51 |
| 8 | 2009 | 45 | |
| 9 | 2008 | 44 | |
| 10 | 2010 | 41 | |
| 11 | 1981 | 34 | |
| 12 | 2010 | 29 | |
| 13 | 1983 | 29 | |
| 14 | 2014 | 28 | |
| 15 | 1985 | 25 | |
| 16 | 1995 | 24 | |
| 17 | 2016 | 20 | |
| 18 | 2014 | 20 | |
| 19 | 2015 | 14 | |
| 20 | 1980 | 13 |
About John Guiver
John Guiver is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics, Computer Science Applications, Information Systems and Geometry and Topology, having authored 33 papers that have together received 1.3k indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (5 papers), Advanced Differential Equations and Dynamical Systems (4 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Control Systems and Identification (3 papers), Information Retrieval and Search Behavior (3 papers), Data Management and Algorithms (3 papers), Topic Modeling (3 papers) and Data Stream Mining Techniques (3 papers). The work is most often cited by research in Computer Science Applications (313 citations), Artificial Intelligence (644 citations), Immunology and Allergy (75 citations), Information Systems (311 citations) and Management Science and Operations Research (165 citations). John Guiver has collaborated with scholars based in United Kingdom, United States and Israel. Frequent co-authors include Tom Minka, Edward Snelson, Stephen Robertson, N.K. Bose, Michael Taylor, N.K. Bose, Pushmeet Kohli, Matteo Venanzi, Gabriella Kazai and Milad Shokouhi. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Transactions on Automatic Control, PLoS Medicine, Journal of Artificial Intelligence Research and ACM Transactions on Information Systems.
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.