John Guiver

25 papers receiving 1.1k citations

Peers

John Guiver
Comparison fields: 5 of 104
  • Computer Science Applications 275
  • Immunology and Allergy 128
  • Artificial Intelligence 556
  • Information Systems 266
  • Management Science and Operations Research 145
Replace Jian Lou with:
Jian Lou China
Frederick Reiss United States
Cornelio Yáñez-Márquéz Mexico
Bipin C. Desai Canada
Sriraam Natarajan United States
Shiva Prasad Kasiviswanathan United States
David R. Musicant United States
Anand D. Sarwate United States
Mohamed Nadif France
John Guiver relative to Jian Lou China Jian Lou's profile →
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Countries citing papers authored by John Guiver

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with John Guiver Line = papers co-authored together John Guiver links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008205
2 2014188
3 2014158
4 200996
5 201293
6 198257
7
Multidimensional systems theory : progress, directions and open problems in multidimensional systems
198542
8 200936
9 201033
10 200833
11 198130
12 201028
13 198326
14 201421
15 201417
16 201616
17 198011
18 201510
19
Alexandria: Unsupervised High-Precision Knowledge Base Construction using a Probabilistic Program
20195
20 20145

About John Guiver

John Guiver is a scholar working on Computer Science Applications, Statistical and Nonlinear Physics, Signal Processing, Geometry and Topology and Artificial Intelligence, having authored 27 papers that have together received 1.1k indexed citations. Recurring topics across this work include Opinion Dynamics and Social Influence (5 papers), Mobile Crowdsensing and Crowdsourcing (4 papers), Data Management and Algorithms (3 papers), Data Stream Mining Techniques (3 papers), Semantic Web and Ontologies (3 papers), Complex Network Analysis Techniques (3 papers), Advanced Image and Video Retrieval Techniques (3 papers) and Advanced Differential Equations and Dynamical Systems (3 papers). The work is most often cited by research in Computer Science Applications (275 citations), Immunology and Allergy (128 citations), Artificial Intelligence (556 citations), Information Systems (266 citations) and Management Science and Operations Research (145 citations). John Guiver has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Tom Minka, Edward Snelson, Stephen Robertson, N.K. Bose, Michael Taylor, Pushmeet Kohli, Matteo Venanzi, Milad Shokouhi, Gabriella Kazai and Thore Graepel. Their work appears in journals such as PLoS Medicine, ACM Transactions on Information Systems, IEEE Transactions on Automatic Control, Journal of Artificial Intelligence Research and ACM SIGPLAN Notices.

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.

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