Philip J. Hanlon
- Hardware and Architecture top 5%
- Computer Networks and Communications top 10%
- Geometry and Topology top 5%
- Algebra and Number Theory top 10%
- Mathematical Physics top 10%
- Co-authors
- Alvin R. LebeckSiddhartha ChatterjeeDavid B. WalesJerrold R. GriggsMichael S. WatermanAndrew OdlyzkoRichard A. MillerDavid Burke
- Topics
- Advanced Topics in Algebra (4 papers)Interconnection Networks and Systems (3 papers)Parallel Computing and Optimization Techniques (3 papers)
- Journals
- Journal of Computer and System SciencesPacific Journal of MathematicsPhysiological Genomics
- Partner nations
- United StatesUnited KingdomJapan
In The Last Decade
Philip J. Hanlon
14 papers receiving 302 citations
Peers
Comparison fields: 5 of 53
- Hardware and Architecture 139
- Computer Networks and Communications 118
- Geometry and Topology 100
- Algebra and Number Theory 71
- Mathematical Physics 70
Countries citing papers authored by Philip J. Hanlon
This map shows the geographic impact of Philip J. Hanlon'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 J. Hanlon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Philip J. Hanlon more than expected).
Fields of papers citing papers by Philip J. Hanlon
This network shows the impact of papers produced by Philip J. Hanlon. 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 J. Hanlon. The network helps show where Philip J. Hanlon may publish in the future.
Co-authorship network of co-authors of Philip J. Hanlon
This figure shows the co-authorship network connecting the top 25 collaborators of Philip J. Hanlon. A scholar is included among the top collaborators of Philip J. Hanlon 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 Philip J. Hanlon. Philip J. Hanlon is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | Action of the symmetric group on the free LAnKe: A CataLAnKe theorem | 1 |
| 3 | 27 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 6 | |
| 7 | 126 | |
| 8 | 15 | |
| 9 | Local systems on the complexification of an oriented matroid. | 1 |
| 10 | 44 | |
| 11 | 18 | |
| 12 | 21 | |
| 13 | 6 | |
| 14 | 10 | |
| 15 | 53 |
About Philip J. Hanlon
Philip J. Hanlon is a scholar working on Algebra and Number Theory, Discrete Mathematics and Combinatorics and Hardware and Architecture, having authored 15 papers that have together received 333 indexed citations. Recurring topics across this work include Advanced Topics in Algebra (4 papers), Interconnection Networks and Systems (3 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Discrete Mathematics and Combinatorics (68 citations), Hardware and Architecture (139 citations) and Algebra and Number Theory (71 citations). Philip J. Hanlon has collaborated with scholars based in United States, United Kingdom and Japan. Frequent co-authors include Alvin R. Lebeck, Siddhartha Chatterjee, David B. Wales, Jerrold R. Griggs, Michael S. Waterman, Andrew Odlyzko, Richard A. Miller, David Burke, Andrzej T. Gałecki and Zhihong Shao. Their work appears in journals such as Journal of Computer and System Sciences, Pacific Journal of Mathematics and Physiological Genomics.
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.