Saul Amarel
- Artificial Intelligence top 5%
- Computational Theory and Mathematics top 10%
- Molecular Biology
- Electrical and Electronic Engineering
- Computer Networks and Communications
- Co-authors
- Casimir A. KulikowskiAran SafirSholom M. WeissR. O. WinderJohn BresinaMichael H. SimsSteven L. ShaferDana Nau
- Topics
- AI-based Problem Solving and Planning (4 papers)Manufacturing Process and Optimization (2 papers)Advanced Multi-Objective Optimization Algorithms (2 papers)
- Partner nations
- United States
In The Last Decade
Saul Amarel
17 papers receiving 389 citations
Peers
Comparison fields: 5 of 86
- Artificial Intelligence 257
- Computational Theory and Mathematics 68
- Molecular Biology 59
- Electrical and Electronic Engineering 51
- Computer Networks and Communications 50
Countries citing papers authored by Saul Amarel
This map shows the geographic impact of Saul Amarel'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 Saul Amarel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saul Amarel more than expected).
Fields of papers citing papers by Saul Amarel
This network shows the impact of papers produced by Saul Amarel. 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 Saul Amarel. The network helps show where Saul Amarel may publish in the future.
Co-authorship network of co-authors of Saul Amarel
This figure shows the co-authorship network connecting the top 25 collaborators of Saul Amarel. A scholar is included among the top collaborators of Saul Amarel 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 Saul Amarel. Saul Amarel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | Logical Foundations for Cognitive Agents: Contributions in Honor of Ray Reiter | 19 |
| 3 | Stochastic heuristic search and evaluation methods for constrained optimization | 3 |
| 4 | AI and design | 2 |
| 5 | 1 | |
| 6 | Artificial intelligence and design: Opportunities, research problems and directions | 1 |
| 7 | Il: an artificial intelligence approach to theory formation in mathematics | 3 |
| 8 | 1 | |
| 9 | 1 | |
| 10 | Expert behaviour and problem representations | 3 |
| 11 | 300 | |
| 12 | 3 | |
| 13 | 24 | |
| 14 | 2 | |
| 15 | Problem-solving procedures for efficient syntactic analysis | 4 |
| 16 | 6 | |
| 17 | 62 |
About Saul Amarel
Saul Amarel is a scholar working on Artificial Intelligence, Industrial and Manufacturing Engineering and Computational Theory and Mathematics, having authored 17 papers that have together received 439 indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (4 papers), Manufacturing Process and Optimization (2 papers) and Advanced Multi-Objective Optimization Algorithms (2 papers). The work is most often cited by research in Health Informatics (11 citations), Artificial Intelligence (257 citations) and Family Practice (15 citations). Saul Amarel has collaborated with scholars based in United States. Frequent co-authors include Casimir A. Kulikowski, Aran Safir, Sholom M. Weiss, R. O. Winder, John Bresina, Michael H. Sims, Steven L. Shafer, Dana Nau, Raymond Reiter and Erik Sandewall. Their work appears in journals such as Communications of the ACM, Artificial Intelligence and AI Magazine.
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.