D. Barden
Impact in
- Geometry and Topology top 2%
- Morphological variations and asymmetry
- Geometric and Algebraic Topology
- Geometry and complex manifolds
- Mathematical Physics top 10%
- Homotopy and Cohomology in Algebraic Topology
Papers in
-
- Morphological variations and asymmetry 6
- Geometric and Algebraic Topology 3
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- Geometric Analysis and Curvature Flows 4
- Point processes and geometric inequalities 3
- Statistical and numerical algorithms 2
- Co-authors
- T. K. Carne (1 shared paper)David G. Kendall (1 shared paper)Huiling Le (5 shared papers)C. B. Thomas (1 shared paper)Megan Owen (1 shared paper)
- Journals
- Journal of the London Mathematical Society (3 papers)Advances in Applied Probability (2 papers)Probability Theory and Related Fields (2 papers)Electronic Journal of Probability (1 paper)Bulletin of the London Mathematical Society (1 paper)
- Partner nations
- United KingdomUnited StatesSouth Korea
In The Last Decade
D. Barden
12 papers receiving 372 citations
Peers
Comparison fields: 5 of 75
- Geometry and Topology 262
- Mathematical Physics 92
- Applied Mathematics 97
- Discrete Mathematics and Combinatorics 17
- Computer Vision and Pattern Recognition 102
Countries citing papers authored by D. Barden
This map shows the geographic impact of D. Barden'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 D. Barden with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites D. Barden more than expected).
Fields of papers citing papers by D. Barden
This network shows the impact of papers produced by D. Barden. 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 D. Barden. The network helps show where D. Barden may publish in the future.
Co-authors
The 5 scholars most cited alongside D. Barden, 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 | Shape and Shape Theory | 1999 | 228 |
| 2 | 1965 | 121 | |
| 3 | 2003 | 20 | |
| 4 | 2013 | 16 | |
| 5 | 1997 | 9 | |
| 6 | 1995 | 7 | |
| 7 | 2001 | 6 | |
| 8 | 2014 | 5 | |
| 9 | 2007 | 2 | |
| 10 | 2010 | 1 | |
| 11 | 2007 | 1 | |
| 12 | 2012 | 1 | |
| 13 | 2010 | 0 |
About D. Barden
D. Barden is a scholar working on Geometry and Topology, Applied Mathematics, Mathematical Physics, Computational Theory and Mathematics and Finance, having authored 13 papers that have together received 417 indexed citations. Recurring topics across this work include Morphological variations and asymmetry (6 papers), Geometric Analysis and Curvature Flows (4 papers), Topological and Geometric Data Analysis (3 papers), Point processes and geometric inequalities (3 papers), Geometric and Algebraic Topology (3 papers), Mathematical Dynamics and Fractals (3 papers), Statistical and numerical algorithms (2 papers) and Markov Chains and Monte Carlo Methods (1 paper). The work is most often cited by research in Geometry and Topology (262 citations), Mathematical Physics (92 citations), Applied Mathematics (97 citations), Discrete Mathematics and Combinatorics (17 citations) and Computer Vision and Pattern Recognition (102 citations). D. Barden has collaborated with scholars based in United Kingdom, United States and South Korea. Frequent co-authors include T. K. Carne, David G. Kendall, Huiling Le, C. B. Thomas and Megan Owen. Their work appears in journals such as Journal of the London Mathematical Society, Advances in Applied Probability, Probability Theory and Related Fields, Electronic Journal of Probability and Bulletin of the London Mathematical Society.
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.