Moshe Looks

424 total citations
21 papers, 178 citations indexed

About

Moshe Looks is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Networks and Communications. According to data from OpenAlex, Moshe Looks has authored 21 papers receiving a total of 178 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 4 papers in Computational Theory and Mathematics and 2 papers in Computer Networks and Communications. Recurrent topics in Moshe Looks's work include Evolutionary Algorithms and Applications (9 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Computability, Logic, AI Algorithms (4 papers). Moshe Looks is often cited by papers focused on Evolutionary Algorithms and Applications (9 papers), Metaheuristic Optimization Algorithms Research (6 papers) and Computability, Logic, AI Algorithms (4 papers). Moshe Looks collaborates with scholars based in United States, Switzerland and Iceland. Moshe Looks's co-authors include Weixiong Zhang, Ben Goertzel, Cassio Pennachin, Jürgen Schmidhuber, Peter Norvig, João Vasconcelos, Ronald P. Loui, Young H. Cho, G. Adam Covington and John W. Lockwood and has published in prestigious journals such as Lecture notes in computer science, arXiv (Cornell University) and International Joint Conference on Artificial Intelligence.

In The Last Decade

Moshe Looks

19 papers receiving 143 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Moshe Looks United States 9 132 50 29 16 14 21 178
Francisco Fernández de Vega Spain 8 91 0.7× 25 0.5× 22 0.8× 6 0.4× 8 0.6× 25 149
Dominique Cansell France 7 70 0.5× 77 1.5× 45 1.6× 5 0.3× 8 0.6× 26 173
Steffen Hölldobler Germany 12 412 3.1× 137 2.7× 46 1.6× 8 0.5× 15 1.1× 63 465
Werner Emde Germany 6 147 1.1× 38 0.8× 27 0.9× 4 0.3× 12 0.9× 11 207
Zeki Bozkuş United States 10 44 0.3× 19 0.4× 145 5.0× 29 1.8× 7 0.5× 24 251
Ola Petersson Sweden 8 110 0.8× 48 1.0× 52 1.8× 2 0.1× 29 2.1× 20 157
Emanuel Kitzelmann Germany 8 140 1.1× 52 1.0× 14 0.5× 3 0.2× 5 0.4× 14 194
Jean-Philippe Bernardy Sweden 10 272 2.1× 73 1.5× 32 1.1× 15 0.9× 5 0.4× 49 290
Yasuyoshi Inagaki Japan 9 199 1.5× 68 1.4× 15 0.5× 5 0.3× 9 0.6× 45 276
Timothy Mann United States 8 166 1.3× 24 0.5× 14 0.5× 7 0.4× 8 0.6× 33 202

Countries citing papers authored by Moshe Looks

Since Specialization
Citations

This map shows the geographic impact of Moshe Looks'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 Looks with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Moshe Looks more than expected).

Fields of papers citing papers by Moshe Looks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Moshe Looks. 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 Looks. The network helps show where Moshe Looks may publish in the future.

Co-authorship network of co-authors of Moshe Looks

This figure shows the co-authorship network connecting the top 25 collaborators of Moshe Looks. A scholar is included among the top collaborators of Moshe Looks 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 Moshe Looks. Moshe Looks is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Looks, Moshe, et al.. (2017). Deep Learning with Dynamic Computation Graphs. arXiv (Cornell University). 14 indexed citations
2.
Schmidhuber, Jürgen, Kristinn R. Þórisson, & Moshe Looks. (2011). Proceedings of the 4th international conference on Artificial general intelligence. 3 indexed citations
3.
Schmidhuber, Jürgen, et al.. (2011). Artificial General Intelligence. Lecture notes in computer science. 11 indexed citations
4.
Pennachin, Cassio, Moshe Looks, & João Vasconcelos. (2010). Robust symbolic regression with affine arithmetic. 917–924. 8 indexed citations
5.
Looks, Moshe & Ben Goertzel. (2009). Program Representation for General Intelligence. 3 indexed citations
6.
Goertzel, Ben, et al.. (2008). An Integrative Methodology for Teaching Embodied Non-Linguistic Agents, Applied to Virtual Animals in Second Life. 161–175. 18 indexed citations
7.
Looks, Moshe. (2007). Program Evolution for General Intelligence. 125–143. 1 indexed citations
8.
9.
Looks, Moshe. (2007). Meta-optimizing semantic evolutionary search. 626–626. 3 indexed citations
10.
Looks, Moshe. (2007). Scalable estimation-of-distribution program evolution. 539–546. 6 indexed citations
11.
Looks, Moshe. (2007). On the behavioral diversity of random programs. 1636–1642. 5 indexed citations
12.
Looks, Moshe, et al.. (2007). Streaming Hierarchical Clustering for Concept Mining. 1–12. 11 indexed citations
13.
Looks, Moshe & Ben Goertzel. (2006). Mixing Cognitive Science Concepts with Computer Science Algorithms and Data Structures: An Integrative Approach to Strong AI.. National Conference on Artificial Intelligence. 80–85. 5 indexed citations
14.
Looks, Moshe. (2006). Competent Program Evolution, Doctoral Dissertation, December 2006. Open Scholarship Institutional Repository (Washington University in St. Louis). 3 indexed citations
15.
Looks, Moshe, Ronald P. Loui, & Barry Z. Cynamon. (2005). Dynamics of Rule Revision and Strategy Revision in Legislative Games. 59–68. 2 indexed citations
16.
Looks, Moshe & Ronald P. Loui. (2005). Game Mechanisms & Procedural Fairness. 111–112.
17.
Zhang, Weixiong & Moshe Looks. (2005). A novel local search algorithm for the traveling salesman problem that exploits backbones. International Joint Conference on Artificial Intelligence. 343–348. 25 indexed citations
18.
Looks, Moshe, Ben Goertzel, & Cassio Pennachin. (2005). Learning computer programs with the bayesian optimization algorithm. Open Scholarship Institutional Repository (Washington University in St. Louis). 747–748. 22 indexed citations
19.
Looks, Moshe, Ben Goertzel, & Cassio Pennachin. (2004). Novamente: An Integrative Architecture for General Intelligence.. National Conference on Artificial Intelligence. 54–61. 8 indexed citations
20.
Zhang, Weixiong, et al.. (2003). Backbone guided local search for maximum satisfiability. International Joint Conference on Artificial Intelligence. 1179–1184. 26 indexed citations

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.

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