Dan Amir
Impact in
- Applied Mathematics top 2%
- Functional Equations Stability Results
- Point processes and geometric inequalities
- Geometry and Topology top 5%
- Fixed Point Theorems Analysis
- Advanced Topology and Set Theory
Papers in
-
- Fixed Point Theorems Analysis 4
-
- Optimization and Variational Analysis 7
- Co-authors
- Frank Deutsch (2 shared papers)Zvi Ziegler (4 shared papers)Daphna Weinshall (1 shared paper)Yuval Elias (1 shared paper)Iddo Pinkas (1 shared paper)L. Benisvy (1 shared paper)Adi Salomon (1 shared paper)
- Journals
- Journal of Approximation Theory (6 papers)Pacific Journal of Mathematics (3 papers)Transactions of the American Mathematical Society (2 papers)Israel Journal of Mathematics (1 paper)ChemPhysChem (1 paper)
- Partner nations
- IsraelUnited StatesGermany
In The Last Decade
Dan Amir
18 papers receiving 394 citations
Peers
Comparison fields: 5 of 60
- Applied Mathematics 230
- Geometry and Topology 190
- Mathematical Physics 192
- Algebra and Number Theory 71
- Computational Theory and Mathematics 183
Countries citing papers authored by Dan Amir
This map shows the geographic impact of Dan Amir'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 Dan Amir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dan Amir more than expected).
Fields of papers citing papers by Dan Amir
This network shows the impact of papers produced by Dan Amir. 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 Dan Amir. The network helps show where Dan Amir may publish in the future.
Co-authors
The 7 scholars most cited alongside Dan Amir, 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 | 1986 | 241 | |
| 2 | 1985 | 70 | |
| 3 | 1978 | 46 | |
| 4 | 1972 | 38 | |
| 5 | Curriculum Learning by Transfer Learning: Theory and Experiments with Deep Networks | 2018 | 27 |
| 6 | 1968 | 27 | |
| 7 | 1982 | 21 | |
| 8 | 1984 | 20 | |
| 9 | 1979 | 13 | |
| 10 | 1982 | 5 | |
| 11 | 1964 | 4 | |
| 12 | 1983 | 3 | |
| 13 | 1979 | 3 | |
| 14 | 2017 | 2 | |
| 15 | 1978 | 2 | |
| 16 | PENGGUNAAN MEDIA AUDIO VISUAL UNTUK MENINGKATKAN HASIL BELAJAR PKN | 2012 | 1 |
| 17 | 1985 | 1 | |
| 18 | 1975 | 1 |
About Dan Amir
Dan Amir is a scholar working on Geometry and Topology, Computational Theory and Mathematics, Numerical Analysis, Mathematical Physics and Applied Mathematics, having authored 18 papers that have together received 525 indexed citations. Recurring topics across this work include Optimization and Variational Analysis (7 papers), Advanced Optimization Algorithms Research (4 papers), Fixed Point Theorems Analysis (4 papers), Approximation Theory and Sequence Spaces (3 papers), Point processes and geometric inequalities (2 papers), Mathematical Approximation and Integration (2 papers), Mathematical functions and polynomials (2 papers) and Advanced Banach Space Theory (2 papers). The work is most often cited by research in Applied Mathematics (230 citations), Geometry and Topology (190 citations), Mathematical Physics (192 citations), Algebra and Number Theory (71 citations) and Computational Theory and Mathematics (183 citations). Dan Amir has collaborated with scholars based in Israel, United States and Germany. Frequent co-authors include Frank Deutsch, Zvi Ziegler, Daphna Weinshall, Yuval Elias, Iddo Pinkas, L. Benisvy and Adi Salomon. Their work appears in journals such as Journal of Approximation Theory, Pacific Journal of Mathematics, Transactions of the American Mathematical Society, Israel Journal of Mathematics and ChemPhysChem.
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.