Özgür Şimşek

1.6k total citations
36 papers, 898 citations indexed

About

Özgür Şimşek is a scholar working on Artificial Intelligence, Computer Networks and Communications and Sociology and Political Science. According to data from OpenAlex, Özgür Şimşek has authored 36 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 4 papers in Computer Networks and Communications and 4 papers in Sociology and Political Science. Recurrent topics in Özgür Şimşek's work include Reinforcement Learning in Robotics (6 papers), Evolutionary Algorithms and Applications (5 papers) and Game Theory and Applications (3 papers). Özgür Şimşek is often cited by papers focused on Reinforcement Learning in Robotics (6 papers), Evolutionary Algorithms and Applications (5 papers) and Game Theory and Applications (3 papers). Özgür Şimşek collaborates with scholars based in United States, Germany and United Kingdom. Özgür Şimşek's co-authors include Andrew G. Barto, David Jensen, Alicia P. Wolfe, André Sales Barreto, Konstantinos V. Katsikopoulos, Gerd Gigerenzer, Sujit Kapadia, Andreas Joseph, Jennifer Neville and Henry G. Goldberg and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and ACS Catalysis.

In The Last Decade

Özgür Şimşek

33 papers receiving 825 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Özgür Şimşek United States 17 498 153 121 84 80 36 898
Piotr J. Gmytrasiewicz United States 18 749 1.5× 301 2.0× 31 0.3× 44 0.5× 55 0.7× 67 1.1k
Sherief Abdallah United Arab Emirates 19 399 0.8× 149 1.0× 49 0.4× 38 0.5× 45 0.6× 62 903
Barteld Kooi Netherlands 17 1.5k 3.1× 209 1.4× 60 0.5× 84 1.0× 87 1.1× 51 2.0k
Hans van Ditmarsch France 16 1.7k 3.3× 216 1.4× 54 0.4× 84 1.0× 89 1.1× 95 2.2k
Amos Azaria Israel 17 548 1.1× 134 0.9× 69 0.6× 32 0.4× 33 0.4× 76 1.2k
Nasser Ghasem-Aghaee Iran 17 600 1.2× 104 0.7× 43 0.4× 43 0.5× 30 0.4× 50 1.1k
Michael Johanson Canada 14 915 1.8× 300 2.0× 31 0.3× 25 0.3× 328 4.1× 19 1.2k
Liz Sonenberg Australia 20 883 1.8× 202 1.3× 29 0.2× 46 0.5× 24 0.3× 73 1.3k
Adam Wierzbicki Poland 17 274 0.6× 117 0.8× 63 0.5× 44 0.5× 40 0.5× 88 1.0k
Avi Rosenfeld Israel 14 306 0.6× 113 0.7× 42 0.3× 59 0.7× 19 0.2× 60 639

Countries citing papers authored by Özgür Şimşek

Since Specialization
Citations

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

Fields of papers citing papers by Özgür Şimşek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Özgür Şimşek

This figure shows the co-authorship network connecting the top 25 collaborators of Özgür Şimşek. A scholar is included among the top collaborators of Özgür Şimşek 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 Özgür Şimşek. Özgür Şimşek 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.
Chew, Y.M. John, et al.. (2024). Accelerated modelling of moisture diffusion controlled drying using coupled physics informed neural network. Food and Bioproducts Processing. 145. 67–77. 4 indexed citations
2.
Sánchez‐Bornot, José M., Roberto C. Sotero, J. A. Scott Kelso, Özgür Şimşek, & Damien Coyle. (2023). Solving large-scale MEG/EEG source localisation and functional connectivity problems simultaneously using state-space models. NeuroImage. 285. 120458–120458. 4 indexed citations
3.
Joseph, Andreas, et al.. (2021). Credit Growth, the Yield Curve and Financial Crisis Prediction: Evidence from a Machine Learning Approach. SSRN Electronic Journal. 21 indexed citations
4.
Katsikopoulos, Konstantinos V., et al.. (2021). Classification in the Wild: The Science and Art of Transparent Decision Making. MPG.PuRe (Max Planck Society). 22 indexed citations
5.
Durbach, Ian, et al.. (2020). Fast and frugal heuristics for portfolio decisions with positive project interactions. Decision Support Systems. 138. 113399–113399. 17 indexed citations
6.
Joseph, Andreas, et al.. (2020). Credit Growth, the Yield Curve and Financial Crisis Prediction: Evidence from a Machine Learning Approach. SSRN Electronic Journal. 31 indexed citations
7.
Şimşek, Özgür, et al.. (2016). Simple Regression Models. MPG.PuRe (Max Planck Society). 58. 13–25. 1 indexed citations
8.
Şimşek, Özgür, et al.. (2016). Why most decisions are easy in tetris—And perhaps in other sequential decision problems, as well. MPG.PuRe (Max Planck Society). 48. 1757–1765. 8 indexed citations
9.
Şimşek, Özgür, et al.. (2016). Decision heuristics for comparison: How good are they?. MPG.PuRe (Max Planck Society). 58. 1–11. 3 indexed citations
10.
Şimşek, Özgür, et al.. (2015). Learning From Small Samples: An Analysis of Simple Decision Heuristics. MPG.PuRe (Max Planck Society). 28. 3159–3167. 19 indexed citations
11.
Şimşek, Özgür. (2013). Linear decision rule as aspiration for simple decision heuristics. Max Planck Institute for Plasma Physics. 26. 2904–2912. 35 indexed citations
12.
Şimşek, Özgür. (2009). Workshop summary: Abstraction in reinforcement learning. 1–1. 1 indexed citations
13.
Şimşek, Özgür & André Sales Barreto. (2008). Skill Characterization Based on Betweenness. Neural Information Processing Systems. 21. 1497–1504. 77 indexed citations
14.
Şimşek, Özgür & David Jensen. (2008). Navigating networks by using homophily and degree. Proceedings of the National Academy of Sciences. 105(35). 12758–12762. 79 indexed citations
15.
Barto, Andrew G. & Özgür Şimşek. (2008). Behavioral building blocks for autonomous agents: description, identification, and learning. 14 indexed citations
16.
Katsikopoulos, Konstantinos V. & Özgür Şimşek. (2005). Optimal doubling strategy against a suboptimal opponent. Journal of Applied Probability. 42(3). 867–872.
17.
Şimşek, Özgür & David Jensen. (2005). Decentralized search in networks using homophily and degree disparity. International Joint Conference on Artificial Intelligence. 304–310. 26 indexed citations
18.
Şimşek, Özgür, Alicia P. Wolfe, & Andrew G. Barto. (2005). Identifying useful subgoals in reinforcement learning by local graph partitioning. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 816–823. 139 indexed citations
19.
Şimşek, Özgür & Andrew G. Barto. (2004). Using relative novelty to identify useful temporal abstractions in reinforcement learning. ScholarWorks@UMassAmherst (University of Massachusetts Amherst). 95–95. 106 indexed citations
20.
Bittner, Alvah C., Özgür Şimşek, William H. Levison, & John Campbell. (2002). On-Road Versus Simulator Data in Driver Model Development Driver Performance Model Experience. Transportation Research Record Journal of the Transportation Research Board. 1803(1). 38–44. 32 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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