Daniel Kudenko⋆

77 papers and 913 indexed citations i.

About

Daniel Kudenko⋆ is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Daniel Kudenko⋆ has authored 77 papers receiving a total of 913 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 13 papers in Information Systems and 11 papers in Computer Networks and Communications. Recurrent topics in Daniel Kudenko⋆’s work include Reinforcement Learning in Robotics (30 papers), Artificial Intelligence in Games (8 papers) and Evolutionary Algorithms and Applications (7 papers). Daniel Kudenko⋆ is often cited by papers focused on Reinforcement Learning in Robotics (30 papers), Artificial Intelligence in Games (8 papers) and Evolutionary Algorithms and Applications (7 papers). Daniel Kudenko⋆ collaborates with scholars based in United Kingdom, Germany and United States. Daniel Kudenko⋆'s co-authors include Sam Devlin, Kleanthis Malialis, Marek Grześ, Ann Nowé, Eduardo Alonso, Mark d’Inverno, Tim Brys, Feng Li, Alberto Nucciarelli and Jason Noble and has published in prestigious journals such as Journal of Business Research, Computers in Human Behavior and Expert Systems with Applications.

In The Last Decade

Co-authorship network of co-authors of Daniel Kudenko⋆ i

Fields of papers citing papers by Daniel Kudenko⋆

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Kudenko⋆. 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 Daniel Kudenko⋆. The network helps show where Daniel Kudenko⋆ may publish in the future.

Countries citing papers authored by Daniel Kudenko⋆

Since Specialization
Citations

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

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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