Justin Curry
- Computational Theory and Mathematics top 10%
- Mathematical Physics
- Computer Networks and Communications
- Radiology, Nuclear Medicine and Imaging
- Biophysics
- Co-authors
- Robert GhristVidit NandaSayan MukherjeeKatharine TurnerRobert GreenRobert ShortWashington MioKathryn Hess
- Topics
- Topological and Geometric Data Analysis (11 papers)Opportunistic and Delay-Tolerant Networks (6 papers)Homotopy and Cohomology in Algebraic Topology (6 papers)
- Journals
- Foundations of Computational MathematicsComputational GeometryJapan Journal of Industrial and Applied Mathematics
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Justin Curry
12 papers receiving 97 citations
Peers
Comparison fields: 5 of 28
- Computational Theory and Mathematics 73
- Mathematical Physics 40
- Computer Networks and Communications 26
- Radiology, Nuclear Medicine and Imaging 21
- Biophysics 16
Countries citing papers authored by Justin Curry
This map shows the geographic impact of Justin Curry'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 Justin Curry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Justin Curry more than expected).
Fields of papers citing papers by Justin Curry
This network shows the impact of papers produced by Justin Curry. 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 Justin Curry. The network helps show where Justin Curry may publish in the future.
Co-authorship network of co-authors of Justin Curry
This figure shows the co-authorship network connecting the top 25 collaborators of Justin Curry. A scholar is included among the top collaborators of Justin Curry 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 Justin Curry. Justin Curry 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 | 0 | |
| 3 | 1 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 4 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 0 | |
| 12 | 22 | |
| 13 | 4 | |
| 14 | 10 | |
| 15 | 17 |
About Justin Curry
Justin Curry is a scholar working on Computational Theory and Mathematics, Mathematical Physics and Geometry and Topology, having authored 15 papers that have together received 103 indexed citations. Recurring topics across this work include Topological and Geometric Data Analysis (11 papers), Opportunistic and Delay-Tolerant Networks (6 papers) and Homotopy and Cohomology in Algebraic Topology (6 papers). The work is most often cited by research in Computational Mathematics (3 citations), Computational Theory and Mathematics (73 citations) and Mathematical Physics (40 citations). Justin Curry has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include Robert Ghrist, Vidit Nanda, Sayan Mukherjee, Katharine Turner, Robert Green, Robert Short, Washington Mio, Kathryn Hess, Lida Kanari and José Miguel Túñez López. Their work appears in journals such as Foundations of Computational Mathematics, Computational Geometry and Japan Journal of Industrial and Applied 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.