Moshe Sipper
Impact in
- Computational Theory and Mathematics top 0.2%
- Cellular Automata and Applications
- Computability, Logic, AI Algorithms
- Artificial Intelligence top 0.5%
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
- Neural Networks and Applications
- Artificial Intelligence in Games
Papers in
-
- Evolutionary Algorithms and Applications 100
- Metaheuristic Optimization Algorithms Research 40
- Artificial Intelligence in Games 27
- Neural Networks and Applications 16
- Reinforcement Learning in Robotics 15
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- Cellular Automata and Applications 62
- Co-authors
- Carlos Andrés Peña-Reyes (10 shared papers)Daniel Mange (20 shared papers)Marco Tomassini (14 shared papers)André Stauffer (22 shared papers)Mathieu S. Capcarrère (11 shared papers)Jason H. Moore (18 shared papers)Gianluca Tempesti (5 shared papers)Eduardo García Sánchez (10 shared papers)
- Journals
- Genetic Programming and Evolvable Machines (10 papers)Artificial Life (9 papers)International Journal of Modern Physics C (5 papers)IEEE Transactions on Evolutionary Computation (4 papers)Biosystems (4 papers)
- Partner nations
- IsraelSwitzerlandUnited States
In The Last Decade
Moshe Sipper
182 papers receiving 3.7k citations
Peers
Comparison fields: 5 of 153
- Computational Theory and Mathematics 1.6k
- Artificial Intelligence 2.3k
- Health Information Management 86
- Mechanical Engineering 726
- Software 77
Countries citing papers authored by Moshe Sipper
This map shows the geographic impact of Moshe Sipper'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 Moshe Sipper with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moshe Sipper more than expected).
Fields of papers citing papers by Moshe Sipper
This network shows the impact of papers produced by Moshe Sipper. 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 Moshe Sipper. The network helps show where Moshe Sipper may publish in the future.
Co-authors
The 25 scholars most cited alongside Moshe Sipper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 191 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1999 | 307 | |
| 2 | 1997 | 214 | |
| 3 | 2000 | 171 | |
| 4 | 1997 | 171 | |
| 5 | 1998 | 150 | |
| 6 | 2000 | 129 | |
| 7 | 2000 | 124 | |
| 8 | 2001 | 119 | |
| 9 | 1999 | 108 | |
| 10 | 1999 | 96 | |
| 11 | 1996 | 81 | |
| 12 | 1996 | 79 | |
| 13 | 2011 | 74 | |
| 14 | 1996 | 69 | |
| 15 | Towards Robust Integrated Circuits: The Embryonics Approach | 2000 | 68 |
| 16 | 2018 | 64 | |
| 17 | 1996 | 59 | |
| 18 | 2001 | 58 | |
| 19 | 1997 | 52 | |
| 20 | 1999 | 51 |
About Moshe Sipper
Moshe Sipper is a scholar working on Artificial Intelligence, Computational Theory and Mathematics, Molecular Biology, Mechanical Engineering and Computer Networks and Communications, having authored 191 papers that have together received 4.0k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (100 papers), Cellular Automata and Applications (62 papers), Metaheuristic Optimization Algorithms Research (40 papers), Modular Robots and Swarm Intelligence (33 papers), Artificial Intelligence in Games (27 papers), DNA and Biological Computing (27 papers), Neural Networks and Applications (16 papers) and Reinforcement Learning in Robotics (15 papers). The work is most often cited by research in Computational Theory and Mathematics (1.6k citations), Artificial Intelligence (2.3k citations), Health Information Management (86 citations), Mechanical Engineering (726 citations) and Software (77 citations). Moshe Sipper has collaborated with scholars based in Israel, Switzerland and United States. Frequent co-authors include Carlos Andrés Peña-Reyes, Daniel Mange, Marco Tomassini, André Stauffer, Mathieu S. Capcarrère, Jason H. Moore, Gianluca Tempesti, Eduardo García Sánchez, Marco Tomassini and Andrés Pérez-Uribe. Their work appears in journals such as Genetic Programming and Evolvable Machines, Artificial Life, International Journal of Modern Physics C, IEEE Transactions on Evolutionary Computation and Biosystems.
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.