Adaptation, learning, and optimization

5.3k citations
265 papers · · active since 2016

Impact in

Papers in

    • Metaheuristic Optimization Algorithms Research 93
    • Evolutionary Algorithms and Applications 72
    • Reinforcement Learning in Robotics 24
    • Neural Networks and Applications 19
    • Machine Learning and ELM 18
    • Bayesian Modeling and Causal Inference 15
    • Machine Learning and Algorithms 12
    • Advanced Multi-Objective Optimization Algorithms 59

Adaptation, learning, and optimization

228 papers receiving 4.0k citations

Peers

Adaptation, learning, and optimization
Comparison fields: 5 of 166
  • Computational Theory and Mathematics 1.4k
  • Artificial Intelligence 2.7k
  • Management Science and Operations Research 576
  • Industrial and Manufacturing Engineering 355
  • Control and Systems Engineering 749
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Citations per field
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Citations per year

Countries where authors publish in Adaptation, learning, and optimization

Since Specialization
Citations

This map shows the geographic impact of research published in Adaptation, learning, and optimization. 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 papers published in Adaptation, learning, and optimization with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adaptation, learning, and optimization more than expected).

Fields of papers published in Adaptation, learning, and optimization

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Adaptation, learning, and optimization. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Adaptation, learning, and optimization.

About Adaptation, learning, and optimization

The 265 papers published in Adaptation, learning, and optimization in the last decades have received a total of 5.3k indexed citations . Papers published in Adaptation, learning, and optimization usually cover Artificial Intelligence (176 papers), Computational Theory and Mathematics (67 papers), Management Science and Operations Research (28 papers), Industrial and Manufacturing Engineering (15 papers) and Computer Vision and Pattern Recognition (26 papers) specifically the topics of Metaheuristic Optimization Algorithms Research (93 papers), Evolutionary Algorithms and Applications (72 papers), Advanced Multi-Objective Optimization Algorithms (59 papers), Reinforcement Learning in Robotics (24 papers), Neural Networks and Applications (19 papers), Machine Learning and ELM (18 papers), Bayesian Modeling and Causal Inference (15 papers) and Machine Learning and Algorithms (12 papers). The most active scholars publishing in Adaptation, learning, and optimization are Martijn van Otterlo, Marco Wiering, Matthijs T. J. Spaan, Alessandro Lazaric, Hado van Hasselt, David Ginsbourger, Laurent Carraro, Rodolphe Le Riche, Yoel Tenne and Chi-Keong Goh.

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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