Daniel Höller

944 total citations
39 papers, 558 citations indexed

About

Daniel Höller is a scholar working on Artificial Intelligence, Computer Networks and Communications and Software. According to data from OpenAlex, Daniel Höller has authored 39 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Artificial Intelligence, 7 papers in Computer Networks and Communications and 6 papers in Software. Recurrent topics in Daniel Höller's work include AI-based Problem Solving and Planning (33 papers), Logic, Reasoning, and Knowledge (20 papers) and Semantic Web and Ontologies (16 papers). Daniel Höller is often cited by papers focused on AI-based Problem Solving and Planning (33 papers), Logic, Reasoning, and Knowledge (20 papers) and Semantic Web and Ontologies (16 papers). Daniel Höller collaborates with scholars based in Germany, Poland and Australia. Daniel Höller's co-authors include Gregor Behnke, Susanne Biundo, Pascal Bercher, Ron Alford, Bernd Schattenberg, David W. Aha, Damien Pellier, Humbert Fiorino, Jörg Hoffmann and Daniel Fišer and has published in prestigious journals such as Journal of Artificial Intelligence Research, ACM Transactions on Modeling and Computer Simulation and KI - Künstliche Intelligenz.

In The Last Decade

Daniel Höller

38 papers receiving 491 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 Höller Germany 16 496 115 79 70 69 39 558
Gregor Behnke Germany 15 534 1.1× 105 0.9× 91 1.2× 73 1.0× 73 1.1× 53 591
Ron Alford United States 12 344 0.7× 88 0.8× 36 0.5× 58 0.8× 32 0.5× 27 395
Martin Wehrle Switzerland 13 318 0.6× 81 0.7× 97 1.2× 92 1.3× 41 0.6× 34 404
Charles Pecheur Belgium 12 167 0.3× 53 0.5× 205 2.6× 147 2.1× 13 0.2× 41 367
R. Venkatesh India 10 89 0.2× 62 0.5× 52 0.7× 117 1.7× 41 0.6× 75 321
Gabriele Röger Switzerland 11 441 0.9× 154 1.3× 78 1.0× 42 0.6× 118 1.7× 31 482
Ralph Rönnquist Australia 6 184 0.4× 79 0.7× 24 0.3× 16 0.2× 19 0.3× 18 257
Chiou Peng Lam Australia 12 114 0.2× 131 1.1× 14 0.2× 246 3.5× 29 0.4× 49 426
Marco Maratea Italy 13 432 0.9× 132 1.1× 97 1.2× 17 0.2× 12 0.2× 68 519
Bernhard Peischl Austria 11 68 0.1× 51 0.4× 32 0.4× 157 2.2× 24 0.3× 40 287

Countries citing papers authored by Daniel Höller

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Höller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Höller

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Höller. A scholar is included among the top collaborators of Daniel Höller 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 Höller. Daniel Höller 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.
Höller, Daniel, et al.. (2023). DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning – Extended Version. ACM Transactions on Modeling and Computer Simulation. 33(4). 1–28. 1 indexed citations
2.
Steinmetz, Marcel, Daniel Fišer, Daniel Höller, et al.. (2022). Debugging a Policy: Automatic Action-Policy Testing in AI Planning. Proceedings of the International Conference on Automated Planning and Scheduling. 32. 353–361. 3 indexed citations
3.
Höller, Daniel, et al.. (2022). Landmark Heuristics for Lifted Classical Planning. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence. 4665–4671. 2 indexed citations
4.
Höller, Daniel & Gregor Behnke. (2022). Encoding Lifted Classical Planning in Propositional Logic. Proceedings of the International Conference on Automated Planning and Scheduling. 32. 134–144. 2 indexed citations
5.
Höller, Daniel & Pascal Bercher. (2021). Landmark Generation in HTN Planning. Proceedings of the AAAI Conference on Artificial Intelligence. 35(13). 11826–11834. 6 indexed citations
6.
Höller, Daniel, et al.. (2021). Landmark Heuristics for Lifted Planning - Extended Abstract. Proceedings of the International Symposium on Combinatorial Search. 12(1). 242–244. 2 indexed citations
7.
Behnke, Gregor, et al.. (2020). On Succinct Groundings of HTN Planning Problems. Proceedings of the AAAI Conference on Artificial Intelligence. 34(6). 9775–9784. 20 indexed citations
8.
Behnke, Gregor, Daniel Höller, Pascal Bercher, & Susanne Biundo. (2019). More Succinct Grounding of HTN Planning Problems -- Preliminary Results. 1 indexed citations
9.
Behnke, Gregor, Daniel Höller, & Susanne Biundo. (2019). Finding Optimal Solutions in HTN Planning - A SAT-based Approach. 5500–5508. 22 indexed citations
10.
Höller, Daniel, Gregor Behnke, Pascal Bercher, & Susanne Biundo. (2018). Plan and Goal Recognition as HTN Planning. National Conference on Artificial Intelligence. 21. 466–473. 13 indexed citations
11.
Behnke, Gregor, Daniel Höller, & Susanne Biundo. (2018). Tracking Branches in Trees - A Propositional Encoding for Solving Partially-Ordered HTN Planning Problems. 3709. 73–80. 17 indexed citations
12.
Bercher, Pascal, Felix Richter, Stephan Reuter, et al.. (2018). A companion-system architecture for realizing individualized and situation-adaptive user assistance. OPen Access Repositorium der Universität Ulm (OPARU) (Ulm University). 4 indexed citations
13.
Behnke, Gregor, Daniel Höller, & Susanne Biundo. (2018). totSAT - Totally-Ordered Hierarchical Planning Through SAT. Proceedings of the AAAI Conference on Artificial Intelligence. 32(1). 30 indexed citations
14.
Behnke, Gregor, Benedikt Leichtmann, Pascal Bercher, et al.. (2017). Help me make a dinner! Challenges when assisting humans in action planning. 1–6. 5 indexed citations
15.
Bercher, Pascal, Gregor Behnke, Daniel Höller, & Susanne Biundo. (2017). An Admissible HTN Planning Heuristic. 480–488. 31 indexed citations
16.
Behnke, Gregor, Daniel Höller, & Susanne Biundo. (2017). This Is a Solution! (... But Is It Though?) - Verifying Solutions of Hierarchical Planning Problems. Proceedings of the International Conference on Automated Planning and Scheduling. 27. 20–28. 17 indexed citations
17.
Höller, Daniel, Gregor Behnke, Pascal Bercher, & Susanne Biundo. (2016). Assessing the Expressivity of Planning Formalisms through the Comparison to Formal Languages. Proceedings of the International Conference on Automated Planning and Scheduling. 26. 158–165. 32 indexed citations
18.
Behnke, Gregor, Daniel Höller, & Susanne Biundo. (2015). On the Complexity of HTN Plan Verification and Its Implications for Plan Recognition. Proceedings of the International Conference on Automated Planning and Scheduling. 25. 25–33. 32 indexed citations
19.
Biundo, Susanne, Daniel Höller, & Pascal Bercher. (2015). Special Issue on Companion Technologies. KI - Künstliche Intelligenz. 30(1). 5–9. 2 indexed citations
20.
Bercher, Pascal, Daniel Höller, Gregor Behnke, & Susanne Biundo. (2015). User-Centered Planning - A Discussion on Planning in the Presence of Human Users.. 79–83. 3 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Gregor Behnke Breakdown of academic impact, for papers by Ron Alford Breakdown of academic impact, for papers by Martin Wehrle Breakdown of academic impact, for papers by Charles Pecheur Breakdown of academic impact, for papers by R. Venkatesh Breakdown of academic impact, for papers by Gabriele Röger Breakdown of academic impact, for papers by Ralph Rönnquist Breakdown of academic impact, for papers by Chiou Peng Lam Breakdown of academic impact, for papers by Marco Maratea Breakdown of academic impact, for papers by Bernhard Peischl
Rankless by CCL
2026