Roman Schindlauer

20 total papers · 1.6k total citations
11 papers, 490 citations indexed

About

Roman Schindlauer is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, Roman Schindlauer has authored 11 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 1 paper in Computer Networks and Communications and 1 paper in Information Systems. Recurrent topics in Roman Schindlauer's work include Semantic Web and Ontologies (11 papers), Logic, Reasoning, and Knowledge (10 papers) and Multi-Agent Systems and Negotiation (8 papers). Roman Schindlauer is often cited by papers focused on Semantic Web and Ontologies (11 papers), Logic, Reasoning, and Knowledge (10 papers) and Multi-Agent Systems and Negotiation (8 papers). Roman Schindlauer collaborates with scholars based in Austria, Italy and United States. Roman Schindlauer's co-authors include Thomas Eiter, Hans Tompits, Giovambattista Ianni, Thomas Lukasiewicz, Mohamed Ali, Jonathan Goldstein, Badrish Chandramouli, Kewen Wang, Francesco Ricca and Nicola Leone and has published in prestigious journals such as Artificial Intelligence, Journal of Logic and Computation and Annals of Mathematics and Artificial Intelligence.

In The Last Decade

Roman Schindlauer

10 papers receiving 437 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Roman Schindlauer 457 129 106 32 23 11 490
E. K. Park 309 0.7× 127 1.0× 201 1.9× 28 0.9× 25 1.1× 19 479
Russell W. Quong 209 0.5× 144 1.1× 173 1.6× 39 1.2× 63 2.7× 15 439
Steve Harenberg 249 0.5× 183 1.4× 41 0.4× 36 1.1× 12 0.5× 12 431
Vacha Dave 300 0.7× 170 1.3× 227 2.1× 123 3.8× 9 0.4× 12 515
Ralf Hauser 235 0.5× 322 2.5× 195 1.8× 35 1.1× 14 0.6× 16 444
Xu Ma 335 0.7× 58 0.4× 104 1.0× 16 0.5× 11 0.5× 21 456
Daniel Sagalowicz 365 0.8× 208 1.6× 95 0.9× 112 3.5× 11 0.5× 18 472
Jeremy Jacob 321 0.7× 170 1.3× 218 2.1× 55 1.7× 58 2.5× 25 484
Carolyn J. Crouch 306 0.7× 64 0.5× 207 2.0× 80 2.5× 15 0.7× 20 406
Mustafa Canim 243 0.5× 290 2.2× 206 1.9× 46 1.4× 35 1.5× 22 533

Countries citing papers authored by Roman Schindlauer

Since Specialization
Citations

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

Fields of papers citing papers by Roman Schindlauer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roman Schindlauer

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

All Works

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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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