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).
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.
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
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.