Daniel Polani

3.7k total citations
116 papers, 1.4k citations indexed

About

Daniel Polani is a scholar working on Artificial Intelligence, Cognitive Neuroscience and Sociology and Political Science. According to data from OpenAlex, Daniel Polani has authored 116 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Artificial Intelligence, 31 papers in Cognitive Neuroscience and 16 papers in Sociology and Political Science. Recurrent topics in Daniel Polani's work include Reinforcement Learning in Robotics (24 papers), Evolutionary Algorithms and Applications (23 papers) and Neural dynamics and brain function (19 papers). Daniel Polani is often cited by papers focused on Reinforcement Learning in Robotics (24 papers), Evolutionary Algorithms and Applications (23 papers) and Neural dynamics and brain function (19 papers). Daniel Polani collaborates with scholars based in United Kingdom, Germany and United States. Daniel Polani's co-authors include Chrystopher L. Nehaniv, Alexander S. Klyubin, Nihat Ay, Christoph Salge, Tobias Jung, Kerstin Dautenhahn, Kazuo YOSHIDA, Mikhail Prokopenko, Thomas Martinetz and Peter Stone and has published in prestigious journals such as PLoS ONE, Journal of Theoretical Biology and PLoS Computational Biology.

In The Last Decade

Daniel Polani

102 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Polani United Kingdom 19 584 486 163 156 143 116 1.4k
Keith Bush United States 14 298 0.5× 346 0.7× 127 0.8× 63 0.4× 255 1.8× 42 1.7k
Ali A. Minai United States 25 547 0.9× 639 1.3× 205 1.3× 39 0.3× 111 0.8× 124 2.1k
Phil Husbands United Kingdom 22 999 1.7× 525 1.1× 65 0.4× 236 1.5× 212 1.5× 128 2.1k
Charles Blundell United Kingdom 13 775 1.3× 271 0.6× 97 0.6× 56 0.4× 97 0.7× 24 1.6k
Inman Harvey United Kingdom 19 687 1.2× 333 0.7× 64 0.4× 169 1.1× 145 1.0× 70 1.4k
Tobias Isenberg France 31 380 0.7× 286 0.6× 82 0.5× 152 1.0× 54 0.4× 118 3.1k
P.A.P. Groenen Netherlands 11 340 0.6× 401 0.8× 97 0.6× 99 0.6× 81 0.6× 15 2.0k
Dominik Endres Germany 15 316 0.5× 292 0.6× 136 0.8× 48 0.3× 49 0.3× 56 1.2k
David Powers Australia 26 849 1.5× 479 1.0× 61 0.4× 33 0.2× 177 1.2× 167 2.4k
Jun Long China 25 889 1.5× 158 0.3× 280 1.7× 70 0.4× 79 0.6× 178 2.5k

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).

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.

Co-authorship network of co-authors of Daniel Polani

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Polani. A scholar is included among the top collaborators of Daniel Polani 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 Daniel Polani. Daniel Polani 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.
Rossi, Alessandra, Merel Keijsers, Michael Anderson, et al.. (2024). The human in the loop Perspectives and challenges for RoboCup 2050. Autonomous Robots. 48(2-3).
2.
Möller, Marco & Daniel Polani. (2023). Emergence of common concepts, symmetries and conformity in agent groups—an information-theoretic model. Interface Focus. 13(3). 20230006–20230006. 2 indexed citations
3.
Polani, Daniel, et al.. (2022). A space of goals: the cognitive geometry of informationally bounded agents. Royal Society Open Science. 9(12). 211800–211800. 4 indexed citations
4.
Castro‐González, Álvaro, Farshid Amirabdollahian, Daniel Polani, María Malfáz, & Miguel Á. Salichs. (2011). Robot self-preservation and adaptation to user preferences in game play, a preliminary study. University of Hertfordshire Research Archive (University of Hertfordshire). 2491–2498. 5 indexed citations
5.
Polani, Daniel, et al.. (2010). What do You Want to do Today? : Relevant-Information Bookkeeping in Goal-Oriented Behaviour. Artificial Life. 176–183. 5 indexed citations
6.
Polani, Daniel, et al.. (2010). Two Agents Acting as One. Artificial Life. 599–606. 1 indexed citations
7.
Polani, Daniel, et al.. (2008). Modelling Stigmergic Gene Transfer. Artificial Life. 490–497. 1 indexed citations
8.
Polani, Daniel, et al.. (2008). On Preferred States of Agents: how Global Structure is reflected in Local Structure. Artificial Life. 25–32. 5 indexed citations
9.
Möller, Marco & Daniel Polani. (2008). Common concepts in agent groups, symmetries, and conformity in a simple environment. Artificial Life. 420–427. 2 indexed citations
10.
Polani, Daniel. (2008). Information Flows in Causal Networks. SSRN Electronic Journal. 1 indexed citations
11.
Jung, Tobias & Daniel Polani. (2006). Least Squares SVM for Least Squares TD Learning. European Conference on Artificial Intelligence. 499–503. 16 indexed citations
12.
Nehaniv, Chrystopher L., et al.. (2006). From unknown sensors and actuators to actions grounded in sensorimotor perceptions. Connection Science. 18(2). 121–144. 57 indexed citations
13.
Bruns, Günter, et al.. (2001). Eine virtuelle kontinuierliche Welt als Testbett für KI-Modelle.. Künstliche Intell.. 15. 60–62.
14.
Polani, Daniel, et al.. (2001). Modelling the Emergence of Possession Norms using Memes. Journal of Artificial Societies and Social Simulation. 4(4). 1–3. 30 indexed citations
15.
Polani, Daniel, et al.. (2000). Evolution of Sensors in Nature, Hardware and Simulation.. Künstliche Intell.. 14. 33–35. 1 indexed citations
16.
Polani, Daniel, et al.. (2000). On the development of spectral properties of visual agent receptors through evolution. Genetic and Evolutionary Computation Conference. 857–864. 1 indexed citations
17.
Polani, Daniel & Risto Miikkulainen. (2000). Eugenic neuro-evolution for reinforcement learning. Genetic and Evolutionary Computation Conference. 1041–1046. 9 indexed citations
18.
Polani, Daniel. (1997). Fitness Functions for the Optimization of Self-Organizing Maps.. 776–783. 4 indexed citations
19.
Polani, Daniel, et al.. (1995). XRaptor: A Synthetic Multi-Agent Environment for Evaluation of Adaptive Control Mechanisms.. 1229–1234. 2 indexed citations
20.
Polani, Daniel, et al.. (1993). Training Kohonen Feature Maps in Different Topologies: An Analysis Using Genetic Algorithms. University of Hertfordshire Research Archive (University of Hertfordshire). 326–333. 10 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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