E. Fischer
- Computational Theory and Mathematics top 5%
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Electrical and Electronic Engineering
- Statistics and Probability top 10%
- Co-authors
- Lance FortnowRavi KumarRonitt RubinfeldPatrick WhiteJohann A. MakowskyTuğkan BatuGoffredo de PortuE. Roncari
- Topics
- Complexity and Algorithms in Graphs (7 papers)Machine Learning and Algorithms (4 papers)Optimization and Search Problems (3 papers)
- Cited by
- Computational Theory and MathematicsDiscrete Mathematics and CombinatoricsArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaAdvanced Healthcare MaterialsDiscrete Applied Mathematics
- Partner nations
- IsraelUnited StatesIndia
In The Last Decade
E. Fischer
13 papers receiving 199 citations
Peers
Comparison fields: 5 of 50
- Computational Theory and Mathematics 124
- Artificial Intelligence 118
- Computer Networks and Communications 42
- Electrical and Electronic Engineering 36
- Statistics and Probability 25
Countries citing papers authored by E. Fischer
This map shows the geographic impact of E. Fischer'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 E. Fischer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Fischer more than expected).
Fields of papers citing papers by E. Fischer
This network shows the impact of papers produced by E. Fischer. 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 E. Fischer. The network helps show where E. Fischer may publish in the future.
Co-authorship network of co-authors of E. Fischer
This figure shows the co-authorship network connecting the top 25 collaborators of E. Fischer. A scholar is included among the top collaborators of E. Fischer 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 E. Fischer. E. Fischer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | Improving and extending the testing of distributions for shape-restricted properties | 1 |
| 5 | 40 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 4 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 29 | |
| 12 | 89 | |
| 13 | 39 |
About E. Fischer
E. Fischer is a scholar working on Discrete Mathematics and Combinatorics, Computational Theory and Mathematics and Ceramics and Composites, having authored 13 papers that have together received 224 indexed citations. Recurring topics across this work include Complexity and Algorithms in Graphs (7 papers), Machine Learning and Algorithms (4 papers) and Optimization and Search Problems (3 papers). The work is most often cited by research in Computational Theory and Mathematics (124 citations), Discrete Mathematics and Combinatorics (15 citations) and Artificial Intelligence (118 citations). E. Fischer has collaborated with scholars based in Israel, United States and India. Frequent co-authors include Lance Fortnow, Ravi Kumar, Ronitt Rubinfeld, Patrick White, Johann A. Makowsky, Tuğkan Batu, Goffredo de Portu, E. Roncari, Noga Alon and Michael Krivelevich. Their work appears in journals such as SHILAP Revista de lepidopterología, Advanced Healthcare Materials and Discrete Applied Mathematics.
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.