Trevor Fenner
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications top 10%
- Statistical and Nonlinear Physics top 10%
- Discrete Mathematics and Combinatorics top 5%
- Co-authors
- Alan FriezeMark LeveneGeorge LoizouB BollobásJudit Bar‐IlanAndrew ThomasonMartin DyerPaul H. Brown
- Topics
- Complex Network Analysis Techniques (18 papers)Opinion Dynamics and Social Influence (12 papers)Advanced Graph Theory Research (11 papers)
- Cited by
- Discrete Mathematics and CombinatoricsComputational Theory and MathematicsStatistical and Nonlinear Physics
- Partner nations
- United KingdomUnited StatesMexico
In The Last Decade
Trevor Fenner
45 papers receiving 408 citations
Peers
Comparison fields: 5 of 90
- Computational Theory and Mathematics 121
- Artificial Intelligence 102
- Computer Networks and Communications 93
- Statistical and Nonlinear Physics 91
- Discrete Mathematics and Combinatorics 77
Countries citing papers authored by Trevor Fenner
This map shows the geographic impact of Trevor Fenner'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 Trevor Fenner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Trevor Fenner more than expected).
Fields of papers citing papers by Trevor Fenner
This network shows the impact of papers produced by Trevor Fenner. 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 Trevor Fenner. The network helps show where Trevor Fenner may publish in the future.
Co-authorship network of co-authors of Trevor Fenner
This figure shows the co-authorship network connecting the top 25 collaborators of Trevor Fenner. A scholar is included among the top collaborators of Trevor Fenner based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Trevor Fenner. Trevor Fenner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 57 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 6 | |
| 6 | 2 | |
| 7 | 10 | |
| 8 | 21 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 1 | |
| 12 | 61 | |
| 13 | An Algorithm for Finding Hamilton Cycles in a Random Graph | 10 |
| 14 | 2 | |
| 15 | 4 | |
| 16 | 29 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | A model of accidental drift voyaging in the Pacific Ocean with applications to the Polynesia colonization problem. | 3 |
About Trevor Fenner
Trevor Fenner is a scholar working on Discrete Mathematics and Combinatorics, Statistical and Nonlinear Physics and Computational Theory and Mathematics, having authored 48 papers that have together received 447 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (18 papers), Opinion Dynamics and Social Influence (12 papers) and Advanced Graph Theory Research (11 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (77 citations), Computational Theory and Mathematics (121 citations) and Statistical and Nonlinear Physics (91 citations). Trevor Fenner has collaborated with scholars based in United Kingdom, United States and Mexico. Frequent co-authors include Alan Frieze, Mark Levene, George Loizou, B Bollobás, Judit Bar‐Ilan, Andrew Thomason, Martin Dyer, Paul H. Brown, Béla Bollobás and Colin Cooper. Their work appears in journals such as PLoS ONE, Artificial Intelligence and Journal of the ACM.
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.