Greg McShane
Impact in
- Geometry and Topology top 5%
- Geometric and Algebraic Topology
- Algebraic Geometry and Number Theory
- Mathematics and Applications
- Mathematical Physics top 10%
- Mathematical Dynamics and Fractals
- Homotopy and Cohomology in Algebraic Topology
- Advanced Algebra and Geometry
Papers in
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- Geometric and Algebraic Topology 10
- Mathematics and Applications 2
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- Mathematical Dynamics and Fractals 6
- Advanced Algebra and Geometry 2
- Co-authors
- Igor Rivin (2 shared papers)Hugo Parlier (2 shared papers)Sadayoshi Kojima (1 shared paper)John R. Parker (1 shared paper)Ser Peow Tan (2 shared papers)William M. Goldman (2 shared papers)George Stantchev (2 shared papers)Robert Penner (1 shared paper)
In The Last Decade
Greg McShane
13 papers receiving 134 citations
Peers
Comparison fields: 5 of 20
- Geometry and Topology 137
- Mathematical Physics 120
- Discrete Mathematics and Combinatorics 30
- Theoretical Computer Science 4
- Applied Mathematics 25
Countries citing papers authored by Greg McShane
This map shows the geographic impact of Greg McShane'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 Greg McShane with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Greg McShane more than expected).
Fields of papers citing papers by Greg McShane
This network shows the impact of papers produced by Greg McShane. 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 Greg McShane. The network helps show where Greg McShane may publish in the future.
Co-authors
The 8 scholars most cited alongside Greg McShane, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 72 | |
| 2 | 1995 | 21 | |
| 3 | 2000 | 16 | |
| 4 | 2004 | 16 | |
| 5 | 1994 | 9 | |
| 6 | SIMPLE GEODESICS ON SURFACES OF GENUS 2 | 2006 | 8 |
| 7 | 2018 | 7 | |
| 8 | 2008 | 5 | |
| 9 | 2015 | 2 | |
| 10 | 2010 | 2 | |
| 11 | 2013 | 2 | |
| 12 | STABLE CURVES AND SCREENS ON FATGRAPHS (Analysis and Topology of Discrete Groups and Hyperbolic Spaces) | 2009 | 1 |
| 13 | 2019 | 1 | |
| 14 | 2022 | 1 | |
| 15 | 2007 | 0 |
About Greg McShane
Greg McShane is a scholar working on Geometry and Topology, Mathematical Physics, Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Computational Mechanics, having authored 15 papers that have together received 163 indexed citations. Recurring topics across this work include Geometric and Algebraic Topology (10 papers), Mathematical Dynamics and Fractals (6 papers), Advanced Combinatorial Mathematics (4 papers), Computational Geometry and Mesh Generation (2 papers), Advanced Algebra and Geometry (2 papers), Topological and Geometric Data Analysis (2 papers), Advanced Numerical Analysis Techniques (2 papers) and Mathematics and Applications (2 papers). The work is most often cited by research in Geometry and Topology (137 citations), Mathematical Physics (120 citations), Discrete Mathematics and Combinatorics (30 citations), Theoretical Computer Science (4 citations) and Applied Mathematics (25 citations). Greg McShane has collaborated with scholars based in France, Japan and Singapore. Frequent co-authors include Igor Rivin, Hugo Parlier, Sadayoshi Kojima, John R. Parker, Ser Peow Tan, William M. Goldman, George Stantchev and Robert Penner. Their work appears in journals such as Geometry & Topology, Experimental Mathematics, Algebraic & Geometric Topology, Memoirs of the American Mathematical Society and Pacific Journal of Mathematics.
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.