Daniel Polani

91 papers and 1.1k indexed citations i.

About

Daniel Polani is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Molecular Biology. According to data from OpenAlex, Daniel Polani has authored 91 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 45 papers in Artificial Intelligence, 28 papers in Cognitive Neuroscience and 14 papers in Molecular Biology. Recurrent topics in Daniel Polani’s work include Neural dynamics and brain function (19 papers), Reinforcement Learning in Robotics (18 papers) and Evolutionary Algorithms and Applications (17 papers). Daniel Polani is often cited by papers focused on Neural dynamics and brain function (19 papers), Reinforcement Learning in Robotics (18 papers) and Evolutionary Algorithms and Applications (17 papers). Daniel Polani collaborates with scholars based in United Kingdom, Germany and United States. Daniel Polani's co-authors include Chrystopher L. Nehaniv, Nihat Ay, Christoph Salge, Alexander S. Klyubin, Cornelius Glackin, Tobias Jung, Mikhail Prokopenko, Peter Stone, Kerstin Dautenhahn and Jan T. Kim and has published in prestigious journals such as PLoS ONE, Journal of Theoretical Biology and PLoS Computational Biology.

In The Last Decade

Co-authorship network of co-authors of Daniel Polani i

Fields of papers citing papers by Daniel Polani

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Daniel Polani

Since Specialization
Citations

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