H. D. Block
Impact in
- Applied Mathematics top 5%
- Advanced Harmonic Analysis Research
- Differential Equations and Boundary Problems
- Mathematical Inequalities and Applications
- Nonlinear Partial Differential Equations
- Holomorphic and Operator Theory
- Mathematical Physics top 10%
- Spectral Theory in Mathematical Physics
Papers in
-
- Neural Networks and Applications 3
- Co-authors
- Frank F. Rosenblatt (1 shared paper)B. W. Knight (1 shared paper)Simon A. Levin (1 shared paper)Edgar L. Piret (1 shared paper)Olegh Bilous (1 shared paper)Wolfgang Fuchs (1 shared paper)Guy M. Robinson (1 shared paper)Jacob Marschak (1 shared paper)
- Journals
- Proceedings of the American Mathematical Society (5 papers)Reviews of Modern Physics (2 papers)Bulletin of the American Mathematical Society (2 papers)The Quarterly Journal of Mathematics (1 paper)AIChE Journal (1 paper)
- Partner nations
- United States
In The Last Decade
H. D. Block
17 papers receiving 179 citations
Peers
Comparison fields: 5 of 69
- Applied Mathematics 88
- Mathematical Physics 42
- Geometry and Topology 21
- Artificial Intelligence 74
- Numerical Analysis 11
Countries citing papers authored by H. D. Block
This map shows the geographic impact of H. D. Block'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 H. D. Block with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. D. Block more than expected).
Fields of papers citing papers by H. D. Block
This network shows the impact of papers produced by H. D. Block. 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 H. D. Block. The network helps show where H. D. Block may publish in the future.
Co-authors
The 10 scholars most cited alongside H. D. Block, 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 | 1957 | 77 | |
| 2 | 1962 | 44 | |
| 3 | 1970 | 27 | |
| 4 | 1951 | 18 | |
| 5 | 1970 | 17 | |
| 6 | 1957 | 9 | |
| 7 | 1957 | 9 | |
| 8 | 1960 | 7 | |
| 9 | 1957 | 7 | |
| 10 | 1975 | 5 | |
| 11 | 1953 | 3 | |
| 12 | 1959 | 3 | |
| 13 | 1961 | 3 | |
| 14 | 1957 | 2 | |
| 15 | 1956 | 2 | |
| 16 | 1954 | 1 | |
| 17 | 1962 | 1 | |
| 18 | 1952 | 1 |
About H. D. Block
H. D. Block is a scholar working on Mathematical Physics, Artificial Intelligence, Applied Mathematics, Numerical Analysis and Geometry and Topology, having authored 18 papers that have together received 236 indexed citations. Recurring topics across this work include Neural Networks and Applications (3 papers), Mathematical Inequalities and Applications (2 papers), Blind Source Separation Techniques (2 papers), Mathematics and Applications (2 papers), Advanced Topics in Algebra (2 papers), Child and Animal Learning Development (1 paper), Point processes and geometric inequalities (1 paper) and Stochastic processes and financial applications (1 paper). The work is most often cited by research in Applied Mathematics (88 citations), Mathematical Physics (42 citations), Geometry and Topology (21 citations), Artificial Intelligence (74 citations) and Numerical Analysis (11 citations). H. D. Block has collaborated with scholars based in United States. Frequent co-authors include Frank F. Rosenblatt, B. W. Knight, Simon A. Levin, Edgar L. Piret, Olegh Bilous, Wolfgang Fuchs, Guy M. Robinson, Jacob Marschak, Janice Moulton and P. C. Rosenbloom. Their work appears in journals such as Proceedings of the American Mathematical Society, Reviews of Modern Physics, Bulletin of the American Mathematical Society, The Quarterly Journal of Mathematics and AIChE Journal.
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.