Ralf Schenkel

249 total papers · 3.5k total citations
102 papers, 1.2k citations indexed

About

Ralf Schenkel is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Ralf Schenkel has authored 102 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Artificial Intelligence, 46 papers in Information Systems and 39 papers in Computer Networks and Communications. Recurrent topics in Ralf Schenkel's work include Semantic Web and Ontologies (44 papers), Data Management and Algorithms (33 papers) and Advanced Database Systems and Queries (30 papers). Ralf Schenkel is often cited by papers focused on Semantic Web and Ontologies (44 papers), Data Management and Algorithms (33 papers) and Advanced Database Systems and Queries (30 papers). Ralf Schenkel collaborates with scholars based in Germany, Poland and Netherlands. Ralf Schenkel's co-authors include Gerhard Weikum, Katja Hose, Martin Theobald, Marcin Sydow, Sebastian Michel, Thomas Neumann, Holger Bast, Debapriyo Majumdar, Josiane Xavier Parreira and Shady Elbassuoni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientometrics and Proceedings of the VLDB Endowment.

In The Last Decade

Ralf Schenkel

91 papers receiving 1.1k citations

Author Peers

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

Author Last Decade Papers Cites
Ralf Schenkel 749 555 520 404 216 102 1.2k
Frank Wm. Tompa 696 0.9× 406 0.7× 856 1.6× 448 1.1× 103 0.5× 84 1.4k
Andrew Trotman 816 1.1× 582 1.0× 298 0.6× 232 0.6× 142 0.7× 117 1.2k
Emanuele Della Valle 951 1.3× 447 0.8× 675 1.3× 439 1.1× 212 1.0× 107 1.5k
Jianling Sun 507 0.7× 920 1.7× 363 0.7× 246 0.6× 163 0.8× 79 1.4k
Denilson Barbosa 964 1.3× 323 0.6× 374 0.7× 241 0.6× 99 0.5× 77 1.3k
Junichi Tatemura 505 0.7× 643 1.2× 749 1.4× 318 0.8× 123 0.6× 63 1.3k
Michael Grossniklaus 439 0.6× 253 0.5× 445 0.9× 291 0.7× 302 1.4× 63 984
Altigran S. da Silva 727 1.0× 1.1k 1.9× 507 1.0× 206 0.5× 101 0.5× 55 1.3k
Yannis Sismanis 518 0.7× 548 1.0× 562 1.1× 385 1.0× 269 1.2× 26 1.2k
Wentao Wu 807 1.1× 351 0.6× 361 0.7× 194 0.5× 191 0.9× 51 1.2k

Countries citing papers authored by Ralf Schenkel

Since Specialization
Citations

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

Fields of papers citing papers by Ralf Schenkel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ralf Schenkel

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