Siegfried Nijssen

164 total papers · 3.5k total citations
74 papers, 1.6k citations indexed

About

Siegfried Nijssen is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Siegfried Nijssen has authored 74 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 49 papers in Information Systems, 35 papers in Computer Networks and Communications and 32 papers in Artificial Intelligence. Recurrent topics in Siegfried Nijssen's work include Data Mining Algorithms and Applications (46 papers), Rough Sets and Fuzzy Logic (22 papers) and Constraint Satisfaction and Optimization (18 papers). Siegfried Nijssen is often cited by papers focused on Data Mining Algorithms and Applications (46 papers), Rough Sets and Fuzzy Logic (22 papers) and Constraint Satisfaction and Optimization (18 papers). Siegfried Nijssen collaborates with scholars based in Belgium, Netherlands and United States. Siegfried Nijssen's co-authors include Joost N. Kok, Luc De Raedt, Tias Guns, Hendrik Blockeel, Richard R. Muntz, Yün Chi, Pierre Schaus, Kristian Kersting, Filip Železný and Thomas Bäck and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Artificial Intelligence.

In The Last Decade

Siegfried Nijssen

72 papers receiving 1.5k citations

Author Peers

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

Author Last Decade Papers Cites
Siegfried Nijssen 781 699 508 351 339 74 1.6k
Yue Yu 1.3k 1.7× 569 0.8× 273 0.5× 184 0.5× 468 1.4× 160 2.4k
Bart Goethals 1.4k 1.8× 845 1.2× 633 1.2× 577 1.6× 368 1.1× 95 2.1k
Ashwin Srinivasan 371 0.5× 753 1.1× 464 0.9× 114 0.3× 127 0.4× 74 1.4k
Jun Huan 432 0.6× 593 0.8× 153 0.3× 271 0.8× 164 0.5× 54 1.3k
Bin Shao 332 0.4× 565 0.8× 210 0.4× 249 0.7× 479 1.4× 40 1.4k
Vipin Kumar 327 0.4× 888 1.3× 302 0.6× 276 0.8× 873 2.6× 66 2.0k
David Chiu 462 0.6× 423 0.6× 152 0.3× 123 0.4× 389 1.1× 97 1.4k
Stefan Krämer 243 0.3× 525 0.8× 275 0.5× 122 0.3× 86 0.3× 84 1.4k
Xia Ning 973 1.2× 724 1.0× 220 0.4× 87 0.2× 110 0.3× 100 1.7k
Yanping Xiang 240 0.3× 501 0.7× 112 0.2× 178 0.5× 431 1.3× 82 1.6k

Countries citing papers authored by Siegfried Nijssen

Since Specialization
Citations

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

Fields of papers citing papers by Siegfried Nijssen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Siegfried Nijssen

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