Daniel A. Klain
- Applied Mathematics top 2%
- Point processes and geometric inequalities 17
- Geometric Analysis and Curvature Flows 8
- Geometry and Topology top 5%
- Mathematics and Applications 10
- Morphological variations and asymmetry 3
-
- Advanced Combinatorial Mathematics 3
- Mathematical Physics top 10%
-
- Computational Geometry and Mesh Generation 2
-
- graph theory and CDMA systems 3
-
- Diffusion and Search Dynamics 3
- Journals
- Advances in Mathematics (6 papers)Advances in Applied Mathematics (3 papers)Discrete Mathematics (2 papers)
- Partner nations
- United StatesItalyJapan
In The Last Decade
Daniel A. Klain
20 papers receiving 359 citations
Peers
Comparison fields: 5 of 57
- Applied Mathematics 337
- Geometry and Topology 163
- Discrete Mathematics and Combinatorics 26
- Mathematical Physics 67
- Computer Graphics and Computer-Aided Design 19
Countries citing papers authored by Daniel A. Klain
This map shows the geographic impact of Daniel A. Klain'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 Daniel A. Klain with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Klain more than expected).
Fields of papers citing papers by Daniel A. Klain
This network shows the impact of papers produced by Daniel A. Klain. 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 Daniel A. Klain. The network helps show where Daniel A. Klain may publish in the future.
Co-authorship network
The 5 scholars most cited alongside Daniel A. Klain, 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 | 2011 | 15 | |
| 2 | 2011 | 15 | |
| 3 | 2011 | 1 | |
| 4 | 2010 | 3 | |
| 5 | 2009 | 3 | |
| 6 | 2007 | 13 | |
| 7 | 2006 | 1 | |
| 8 | 2005 | 6 | |
| 9 | 2004 | 4 | |
| 10 | 2004 | 9 | |
| 11 | 2004 | 1 | |
| 12 | 2003 | 45 | |
| 13 | 2000 | 0 | |
| 14 | 1999 | 9 | |
| 15 | 1999 | 49 | |
| 16 | 1997 | 56 | |
| 17 | 1997 | 4 | |
| 18 | 1997 | 16 | |
| 19 | 1996 | 69 | |
| 20 | 1995 | 80 |
About Daniel A. Klain
Daniel A. Klain is a scholar working on Theoretical Computer Science, Applied Mathematics, Geometry and Topology, Discrete Mathematics and Combinatorics and Computer Graphics and Computer-Aided Design, having authored 22 papers that have together received 401 indexed citations. Recurring topics across this work include Point processes and geometric inequalities (17 papers), Mathematics and Applications (10 papers), Geometric Analysis and Curvature Flows (8 papers), Morphological variations and asymmetry (3 papers), graph theory and CDMA systems (3 papers), Advanced Combinatorial Mathematics (3 papers), Diffusion and Search Dynamics (3 papers) and Computational Geometry and Mesh Generation (2 papers). The work is most often cited by research in Applied Mathematics (337 citations), Geometry and Topology (163 citations), Discrete Mathematics and Combinatorics (26 citations), Mathematical Physics (67 citations) and Computer Graphics and Computer-Aided Design (19 citations). Daniel A. Klain has collaborated with scholars based in United States, Italy and Japan. Frequent co-authors include Gian‐Carlo Rota, Gaoyong Zhang, Gabriele Bianchi, Deane Yang and Erwin Lutwak. Their work appears in journals such as Advances in Mathematics, Advances in Applied Mathematics, Discrete Mathematics, Transactions of the American Mathematical Society and Mathematika.
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.