Peter Schüller

1.4k total citations
46 papers, 450 citations indexed

About

Peter Schüller is a scholar working on Artificial Intelligence, Astronomy and Astrophysics and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Peter Schüller has authored 46 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Artificial Intelligence, 6 papers in Astronomy and Astrophysics and 5 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Peter Schüller's work include Logic, Reasoning, and Knowledge (25 papers), Multi-Agent Systems and Negotiation (20 papers) and Semantic Web and Ontologies (12 papers). Peter Schüller is often cited by papers focused on Logic, Reasoning, and Knowledge (25 papers), Multi-Agent Systems and Negotiation (20 papers) and Semantic Web and Ontologies (12 papers). Peter Schüller collaborates with scholars based in Türkiye, Austria and France. Peter Schüller's co-authors include Esra Erdem, Thomas Eiter, Michael Fink, Masoumeh Mansouri, Christoph Redl, Federico Pecora, Thomas Krennwallner, Volkan Patoğlu, Giovambattista Ianni and Oliver Niggemann and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and Expert Systems with Applications.

In The Last Decade

Peter Schüller

44 papers receiving 423 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Schüller Türkiye 12 282 114 75 58 31 46 450
Renaud Sirdey France 13 346 1.2× 79 0.7× 106 1.4× 59 1.0× 39 1.3× 56 583
William Millar United States 9 136 0.5× 22 0.2× 88 1.2× 16 0.3× 7 0.2× 19 249
Pietro Nannipieri Italy 11 143 0.5× 97 0.9× 88 1.2× 10 0.2× 4 0.1× 45 344
Bo Ning China 8 86 0.3× 61 0.5× 30 0.4× 30 0.5× 2 0.1× 44 215
Ding United States 9 56 0.2× 33 0.3× 77 1.0× 9 0.2× 12 0.4× 70 313
Chen He United States 6 90 0.3× 76 0.7× 8 0.1× 50 0.9× 4 0.1× 11 273
Guillermo Marcus Germany 8 34 0.1× 14 0.1× 33 0.4× 14 0.2× 6 0.2× 16 171
Óscar Valero Spain 13 57 0.2× 39 0.3× 30 0.4× 126 2.2× 12 0.4× 85 948
Pieter T. Eendebak Netherlands 11 121 0.4× 83 0.7× 8 0.1× 6 0.1× 42 1.4× 32 396
Dong Zheng China 8 165 0.6× 41 0.4× 35 0.5× 16 0.3× 4 0.1× 37 288

Countries citing papers authored by Peter Schüller

Since Specialization
Citations

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

Fields of papers citing papers by Peter Schüller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Schüller

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Schüller. A scholar is included among the top collaborators of Peter Schüller 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 Peter Schüller. Peter Schüller 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.
Mansouri, Masoumeh, Federico Pecora, & Peter Schüller. (2021). Combining Task and Motion Planning: Challenges and Guidelines. Frontiers in Robotics and AI. 8. 637888–637888. 20 indexed citations
2.
Schüller, Peter. (2020). A new OWLAPI interface for HEX-programs applied to explaining contingencies in production planning.. 25–31. 1 indexed citations
3.
Dodaro, Carmine, et al.. (2019). Partial Compilation of ASP Programs. Theory and Practice of Logic Programming. 19(5-6). 857–873. 2 indexed citations
4.
Schüller, Peter, et al.. (2019). TUWienKBS19 at GermEval Task 2, 2019: Ensemble Learning for German Offensive Language Detection.. 1 indexed citations
5.
Schekotihin, Konstantin, et al.. (2019). Exploiting Partial Knowledge in Declarative Domain-Specific Heuristics for ASP. SHILAP Revista de lepidopterología. 306. 22–35. 1 indexed citations
6.
Schüller, Peter, et al.. (2018). Best-effort inductive logic programming via fine-grained cost-based hypothesis generation. Machine Learning. 107(7). 1141–1169. 12 indexed citations
7.
Schüller, Peter. (2018). Answer Set Programming in Linguistics. KI - Künstliche Intelligenz. 32(2-3). 151–155. 4 indexed citations
8.
Schüller, Peter, et al.. (2017). Detection of regime switching points in non-stationary sequences using stochastic learning based weak estimation method. Dspace Repository (Marmara Üniversitesi). 787–792. 3 indexed citations
9.
Schüller, Peter. (2016). Modeling Variations of First-Order Horn Abduction in Answer Set Programming. Fundamenta Informaticae. 149(1-2). 159–207. 11 indexed citations
10.
Saygın, Yücel, et al.. (2016). SteM at SemEval-2016 Task 4: Applying Active Learning to Improve Sentiment Classification. Sabanci University. 64–70. 3 indexed citations
11.
Schüller, Peter, et al.. (2015). Answer Set Application Programming: a Case Study on Tetris. International Conference on Lightning Protection. 5 indexed citations
12.
Schüller, Peter. (2014). Tackling Winograd Schemas by formalizing relevance theory in knowledge graphs. Dspace Repository (Marmara Üniversitesi). 358–367. 21 indexed citations
13.
Eiter, Thomas, et al.. (2014). Finding explanations of inconsistency in multi-context systems. Artificial Intelligence. 216. 233–274. 27 indexed citations
14.
Erdem, Esra, et al.. (2013). Finding optimal plans for multiple teams of robots through a mediator: A logic-based approach. Theory and Practice of Logic Programming. 13(4-5). 831–846. 15 indexed citations
15.
Eiter, Thomas, et al.. (2010). Finding explanations of inconsistency in multi-context systems. Dspace Repository (Marmara Üniversitesi). 329–339. 11 indexed citations
16.
Chazelas, Bruno, Peter Schüller, Frank Brachet, et al.. (2008). Stabilising a nulling interferometer using optical path difference dithering: an update. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7013. 70131R–70131R. 1 indexed citations
17.
Schüller, Peter, Bruno Chazelas, M. Decaudin, et al.. (2008). Tests of achromatic phase shifters performed on the SYNAPSE test bench: a progress report. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7013. 70134O–70134O. 3 indexed citations
18.
Pedretti, E., Wesley A. Traub, John D. Monnier, et al.. (2008). Last technology and results from the IOTA interferometer. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 7013. 70132V–70132V. 3 indexed citations
19.
Schüller, Peter, M. G. Lacasse, E. Pedretti, et al.. (2004). LLiST- a new star tracker camera for tip-tilt correction at IOTA ∗. 2 indexed citations
20.
Schüller, Peter, P. Salomé, G. Perrin, et al.. (2004). Are dust shell models well-suited to explain interferometric data of late-type stars in the near-infrared?. Astronomy and Astrophysics. 418(1). 151–162. 16 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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