Thomas Gabel

1.9k total citations
23 papers, 791 citations indexed

About

Thomas Gabel is a scholar working on Artificial Intelligence, Control and Systems Engineering and Computational Theory and Mathematics. According to data from OpenAlex, Thomas Gabel has authored 23 papers receiving a total of 791 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 6 papers in Control and Systems Engineering and 4 papers in Computational Theory and Mathematics. Recurrent topics in Thomas Gabel's work include Reinforcement Learning in Robotics (11 papers), Evolutionary Algorithms and Applications (5 papers) and Scheduling and Optimization Algorithms (4 papers). Thomas Gabel is often cited by papers focused on Reinforcement Learning in Robotics (11 papers), Evolutionary Algorithms and Applications (5 papers) and Scheduling and Optimization Algorithms (4 papers). Thomas Gabel collaborates with scholars based in Germany, Egypt and India. Thomas Gabel's co-authors include Martin Riedmiller, Alaa Tharwat, Aboul Ella Hassanien, Roland Hafner, Sascha Lange, Mohamed Elhoseny, Арун Кумар, Essam H. Houssein, Ahmed Abdelmonem Hemedan and Manuela Veloso and has published in prestigious journals such as International Journal of Production Research, Neural Computing and Applications and Autonomous Robots.

In The Last Decade

Thomas Gabel

23 papers receiving 740 citations

Peers

Thomas Gabel

CSE

IME

CVPR

CNC

Ender Sevinç Türkiye

Jiaxu Ning China

Tayfun Küçükyılmaz Türkiye

Miren Nekane Bilbao Spain

Ranjith Kumar A India

Prachi Agrawal India

Ahmad Nickabadi Iran

Diana Manjarrés Spain

Ramin Rajabioun Türkiye

Ender Sevinç Türkiye

Thomas Gabel

488 ×1.4

89 ×0.6

CSE

136 ×0.9

IME

120 ×0.8

CVPR

125 ×1.3

CNC

Citations per year, relative to Thomas Gabel Thomas Gabel (= 1×) peers Ender Sevinç

Countries citing papers authored by Thomas Gabel

Since Specialization

Citations

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

Fields of papers citing papers by Thomas Gabel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Thomas Gabel

This figure shows the co-authorship network connecting the top 25 collaborators of Thomas Gabel. A scholar is included among the top collaborators of Thomas Gabel 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 Thomas Gabel. Thomas Gabel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kelly, Jennifer, et al.. (2019). Large Carnivore Attacks on Humans: The State of Knowledge. ANU Open Research (Australian National University). 25(2). 15–33. 4 indexed citations

Tharwat, Alaa, Mohamed Elhoseny, Aboul Ella Hassanien, Thomas Gabel, & Арун Кумар. (2018). Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm. Cluster Computing. 22(S2). 4745–4766. 149 indexed citations

Tharwat, Alaa, et al.. (2017). MOGOA algorithm for constrained and unconstrained multi-objective optimization problems. Applied Intelligence. 48(8). 2268–2283. 86 indexed citations

Gabel, Thomas, et al.. (2015). High Quality Lecture Recording with Minimal Bandwidth Requirements. Global Learn. 2015(1). 127–133. 2 indexed citations

Gabel, Thomas, et al.. (2015). I Know What You're Doing: A Case Study on Case-Based Opponent Modeling and Low-Level Action Prediction. 13–22. 1 indexed citations

Gabel, Thomas & Martin Riedmiller. (2013). The Cooperative Driver: Multi-Agent Learning for Preventing Traffic Jams. 1(4). 67–76. 5 indexed citations

Gabel, Thomas, et al.. (2011). Improved neural fitted Q iteration applied to a novel computer gaming and learning benchmark. 279–286. 10 indexed citations

Gabel, Thomas & Martin Riedmiller. (2011). Distributed policy search reinforcement learning for job-shop scheduling tasks. International Journal of Production Research. 50(1). 41–61. 56 indexed citations

Riedmiller, Martin, Thomas Gabel, Roland Hafner, & Sascha Lange. (2009). Reinforcement learning for robot soccer. Autonomous Robots. 27(1). 55–73. 160 indexed citations

10.

Gabel, Thomas & Martin Riedmiller. (2009). Brainstormers 2D — Team Description 2009. Scientific Publication Server (Frankfurt University of Applied Sciences). 1 indexed citations

11.

Gabel, Thomas & Martin Riedmiller. (2008). Reinforcement learning for DEC-MDPs with changing action sets and partially ordered dependencies. Adaptive Agents and Multi-Agents Systems. 1333–1336. 4 indexed citations

12.

Riedmiller, Martin & Thomas Gabel. (2007). On Experiences in a Complex and Competitive Gaming Domain: Reinforcement Learning Meets RoboCup. 17–23. 25 indexed citations

13.

Gabel, Thomas & Martin Riedmiller. (2007). Scaling Adaptive Agent-Based Reactive Job-Shop Scheduling to Large-Scale Problems. 259–266. 18 indexed citations

14.

Gabel, Thomas & Martin Riedmiller. (2007). On a Successful Application of Multi-Agent Reinforcement Learning to Operations Research Benchmarks. 20 indexed citations

15.

Gabel, Thomas & Martin Riedmiller. (2006). Reducing policy degradation in neuro-dynamic programming.. The European Symposium on Artificial Neural Networks. 653–658. 8 indexed citations

16.

Gabel, Thomas & Martin Riedmiller. (2006). Learning a Partial Behavior for a Competitive Robotic Soccer Agent. Künstliche Intell.. 20. 18–23. 8 indexed citations

17.

Stahl, Armin & Thomas Gabel. (2006). Optimizing similarity assessment in case-based reasoning. National Conference on Artificial Intelligence. 1667–1670. 5 indexed citations

18.

Riedmiller, Martin, Thomas Gabel, Roland Hafner, Sascha Lange, & Martin Lauer. (2006). Die Brainstormers: Entwurfsprinzipien lernfähiger autonomer Roboter. Informatik-Spektrum. 29(3). 175–190. 3 indexed citations

19.

Riedmiller, Martin, et al.. (2005). Brainstormers 2D - Team Description 2005. 4 indexed citations

20.

Gabel, Thomas & Manuela Veloso. (2002). Selecting Heterogeneous Team Players by Case-Based Reasoning: A Case Study in Robotic Soccer Simulation. 8 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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