David P. Blecher
- Mathematical Physics top 0.5%
- Algebra and Number Theory top 0.5%
- Applied Mathematics top 1%
- Geometry and Topology top 2%
- Computational Theory and Mathematics top 10%
- Co-authors
- Christian Le MerdyVern I. PaulsenLouis E. LabuschagneZhong-Jin RuanAllan M. SinclairRoger R. SmithC. J. ReadPaul S. Muhly
- Topics
- Advanced Operator Algebra Research (67 papers)Advanced Topics in Algebra (50 papers)Advanced Banach Space Theory (37 papers)
- Journals
- Proceedings of the National Academy of SciencesFEBS LettersJournal of Mathematical Analysis and Applications
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
David P. Blecher
71 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 46
- Mathematical Physics 1.3k
- Algebra and Number Theory 978
- Applied Mathematics 625
- Geometry and Topology 256
- Computational Theory and Mathematics 60
Countries citing papers authored by David P. Blecher
This map shows the geographic impact of David P. Blecher'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 David P. Blecher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David P. Blecher more than expected).
Fields of papers citing papers by David P. Blecher
This network shows the impact of papers produced by David P. Blecher. 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 David P. Blecher. The network helps show where David P. Blecher may publish in the future.
Co-authorship network of co-authors of David P. Blecher
This figure shows the co-authorship network connecting the top 25 collaborators of David P. Blecher. A scholar is included among the top collaborators of David P. Blecher 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 David P. Blecher. David P. Blecher is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | Finite generation in C*-algebras and Hilbert C*-modules | 4 |
| 5 | 1 | |
| 6 | 15 | |
| 7 | 15 | |
| 8 | 8 | |
| 9 | 4 | |
| 10 | 8 | |
| 11 | 7 | |
| 12 | 12 | |
| 13 | 6 | |
| 14 | The Shilov boundary of an operator space - and applications to the characterization theorems and Hilbert C*-modules | 6 |
| 15 | 15 | |
| 16 | 17 | |
| 17 | 32 | |
| 18 | 155 | |
| 19 | 13 | |
| 20 | 23 |
About David P. Blecher
David P. Blecher is a scholar working on Algebra and Number Theory, Mathematical Physics and Applied Mathematics, having authored 76 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Operator Algebra Research (67 papers), Advanced Topics in Algebra (50 papers) and Advanced Banach Space Theory (37 papers). The work is most often cited by research in Algebra and Number Theory (978 citations), Mathematical Physics (1.3k citations) and Applied Mathematics (625 citations). David P. Blecher has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Christian Le Merdy, Vern I. Paulsen, Louis E. Labuschagne, Zhong-Jin Ruan, Allan M. Sinclair, Roger R. Smith, C. J. Read, Paul S. Muhly, Edward G. Effros and Bojan Magajna. Their work appears in journals such as Proceedings of the National Academy of Sciences, FEBS Letters and Journal of Mathematical Analysis and Applications.
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.