Daniel Fišer

467 total citations
24 papers, 104 citations indexed

About

Daniel Fišer is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Software. According to data from OpenAlex, Daniel Fišer has authored 24 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Software. Recurrent topics in Daniel Fišer's work include AI-based Problem Solving and Planning (18 papers), Logic, Reasoning, and Knowledge (14 papers) and Semantic Web and Ontologies (5 papers). Daniel Fišer is often cited by papers focused on AI-based Problem Solving and Planning (18 papers), Logic, Reasoning, and Knowledge (14 papers) and Semantic Web and Ontologies (5 papers). Daniel Fišer collaborates with scholars based in Czechia, Germany and Denmark. Daniel Fišer's co-authors include Antonín Komenda, Jan Faigl, Miroslav Kulich, Álvaro Torralba, Jörg Hoffmann, Daniel Höller, Lukáš Chrpa, Wolfgang Faber, Florian Pommerening and Tomáš Krajník and has published in prestigious journals such as Neurocomputing, Journal of Artificial Intelligence Research and AI Magazine.

In The Last Decade

Daniel Fišer

19 papers receiving 102 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Fišer Czechia	7	86	23	13	12	7	24	104
Haoze Wu China	6	28 0.3×	32 1.4×	6 0.5×	4 0.3×	3 0.4×	18	60
Tianyi Liang China	7	52 0.6×	64 2.8×	4 0.3×	19 1.6×	9 1.3×	16	106
Ebtesam Almazrouei United Arab Emirates	7	43 0.5×	9 0.4×	29 2.2×	3 0.3×	12 1.7×	13	98
D. Stampfer Germany	6	47 0.5×	23 1.0×	11 0.8×	23 1.9×	15 2.1×	13	99
André Biedenkapp Germany	4	67 0.8×	5 0.2×	6 0.5×	4 0.3×	2 0.3×	7	90
Daniel W. Stouch United States	5	21 0.2×	21 0.9×	12 0.9×	2 0.2×	12 1.7×	7	52
Tanja Harbaum Germany	4	26 0.3×	14 0.6×	18 1.4×	4 0.3×	3 0.4×	33	69
Trinh Le United States	5	24 0.3×	16 0.7×	13 1.0×	20 1.7×	8 1.1×	8	93
Sam Toyer United States	5	57 0.7×	36 1.6×	8 0.6×	3 0.3×	1 0.1×	6	84
Joost van Amersfoort United Kingdom	6	89 1.0×	22 1.0×	5 0.4×	2 0.2×	3 0.4×	6	126

Countries citing papers authored by Daniel Fišer

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Fišer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Fišer

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Fišer. A scholar is included among the top collaborators of Daniel Fišer 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 Fišer. Daniel Fišer 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

Alford, Ron, Gregor Behnke, Daniel Fišer, et al.. (2024). The 2023 International Planning Competition. AI Magazine. 45(2). 280–296. 1 indexed citations

Fišer, Daniel. (2023). Operator Pruning Using Lifted Mutex Groups via Compilation on Lifted Level. Proceedings of the International Conference on Automated Planning and Scheduling. 33(1). 118–127.

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

Fišer, Daniel, et al.. (2022). Homomorphisms of Lifted Planning Tasks: The Case for Delete-Free Relaxation Heuristics. Proceedings of the AAAI Conference on Artificial Intelligence. 36(9). 9767–9775.

Fišer, Daniel, Álvaro Torralba, & Jörg Hoffmann. (2022). Operator-Potentials in Symbolic Search: From Forward to Bi-directional Search. Proceedings of the International Conference on Automated Planning and Scheduling. 32. 80–89.

Fišer, Daniel, et al.. (2021). Custom-Design of FDR Encodings: The Case of Red-Black Planning. 4054–4061. 1 indexed citations

Torralba, Álvaro, et al.. (2021). Polynomial-Time in PDDL Input Size: Making the Delete Relaxation Feasible for Lifted Planning. 4119–4126. 13 indexed citations

Chrpa, Lukáš, et al.. (2020). Determining Action Reversibility in STRIPS Using Answer Set Programming.. International Conference on Lightning Protection.

Fišer, Daniel, et al.. (2020). Strengthening Potential Heuristics with Mutexes and Disambiguations. Proceedings of the International Conference on Automated Planning and Scheduling. 30. 124–133. 6 indexed citations

10.

Fišer, Daniel. (2020). Lifted Fact-Alternating Mutex Groups and Pruned Grounding of Classical Planning Problems. Proceedings of the AAAI Conference on Artificial Intelligence. 34(6). 9835–9842. 17 indexed citations

11.

Chrpa, Lukáš, et al.. (2020). On the Reversibility of Actions in Planning. 652–661. 5 indexed citations

12.

Fišer, Daniel, et al.. (2019). Privacy Leakage of Search-Based Multi-Agent Planning Algorithms. Proceedings of the International Conference on Automated Planning and Scheduling. 29. 482–490. 1 indexed citations

13.

Fišer, Daniel, et al.. (2019). Cost Partitioning for Multi-agent Planning. 40–49. 1 indexed citations

14.

Fišer, Daniel, et al.. (2019). Operator Mutexes and Symmetries for Simplifying Planning Tasks. Proceedings of the AAAI Conference on Artificial Intelligence. 33(1). 7586–7593. 7 indexed citations

15.

Fišer, Daniel & Antonín Komenda. (2018). Concise Finite-Domain Representations for Factored MA-PDDL Planning Tasks. 306–313.

16.

Fišer, Daniel & Antonín Komenda. (2018). Fact-Alternating Mutex Groups for Classical Planning. Journal of Artificial Intelligence Research. 61. 475–521. 8 indexed citations

17.

Fišer, Daniel, et al.. (2016). Potential Heuristics for Multi-Agent Planning. Proceedings of the International Conference on Automated Planning and Scheduling. 26. 308–316. 5 indexed citations

18.

Fišer, Daniel, et al.. (2015). Admissible Landmark Heuristic for Multi-Agent Planning. Proceedings of the International Conference on Automated Planning and Scheduling. 25. 211–219. 7 indexed citations

19.

Fišer, Daniel, Jan Faigl, & Miroslav Kulich. (2012). Growing neural gas efficiently. Neurocomputing. 104. 72–82. 22 indexed citations

20.

Vonásek, Vojtěch, Miroslav Kulich, Tomáš Krajník, et al.. (2012). Techniques for Modeling Simulation Environments for Modular Robotics. IFAC Proceedings Volumes. 45(2). 210–215. 1 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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