Arno Siebes

2.1k total citations
53 papers, 824 citations indexed

About

Arno Siebes is a scholar working on Artificial Intelligence, Information Systems and Computational Theory and Mathematics. According to data from OpenAlex, Arno Siebes has authored 53 papers receiving a total of 824 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 24 papers in Information Systems and 13 papers in Computational Theory and Mathematics. Recurrent topics in Arno Siebes's work include Data Mining Algorithms and Applications (22 papers), Rough Sets and Fuzzy Logic (12 papers) and Advanced Database Systems and Queries (10 papers). Arno Siebes is often cited by papers focused on Data Mining Algorithms and Applications (22 papers), Rough Sets and Fuzzy Logic (12 papers) and Advanced Database Systems and Queries (10 papers). Arno Siebes collaborates with scholars based in Netherlands, Germany and Belgium. Arno Siebes's co-authors include Jilles Vreeken, Matthijs van Leeuwen, Marcel Holsheimer, Zbigniew R. Struzik, Heike Hofmann, Adalbert Wilhelm, Luc De Raedt, Robert Castelo, Martin Kersten and Lude Franke and has published in prestigious journals such as Bioinformatics, Sustainability and Physica A Statistical Mechanics and its Applications.

In The Last Decade

Arno Siebes

48 papers receiving 751 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Arno Siebes Netherlands 16 434 424 237 216 144 53 824
Willi Klösgen Germany 10 385 0.9× 419 1.0× 182 0.8× 139 0.6× 104 0.7× 27 736
Liqiang Geng Canada 8 555 1.3× 392 0.9× 339 1.4× 220 1.0× 69 0.5× 15 882
Vishwa Vinay United States 12 202 0.5× 480 1.1× 187 0.8× 137 0.6× 120 0.8× 36 841
Rokia Missaoui Canada 12 248 0.6× 262 0.6× 315 1.3× 167 0.8× 94 0.7× 52 546
Amol Ghoting United States 16 297 0.7× 656 1.5× 78 0.3× 226 1.0× 368 2.6× 31 1.0k
John Shafer United States 8 441 1.0× 420 1.0× 171 0.7× 194 0.9× 156 1.1× 15 723
Mark Montague United States 11 455 1.0× 425 1.0× 37 0.2× 252 1.2× 123 0.9× 15 883
Chris Giannella United States 14 439 1.0× 786 1.9× 117 0.5× 352 1.6× 571 4.0× 35 1.2k
Ran Wolff Israel 16 314 0.7× 527 1.2× 111 0.5× 164 0.8× 367 2.5× 31 874
Chien-Chung Chan United States 13 284 0.7× 313 0.7× 311 1.3× 71 0.3× 44 0.3× 42 641

Countries citing papers authored by Arno Siebes

Since Specialization
Citations

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

Fields of papers citing papers by Arno Siebes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Arno Siebes

This figure shows the co-authorship network connecting the top 25 collaborators of Arno Siebes. A scholar is included among the top collaborators of Arno Siebes 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 Arno Siebes. Arno Siebes 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.
Siebes, Arno, et al.. (2020). Beware Thy Bias: Scaling Mobile Phone Data to Measure Traffic Intensities. Sustainability. 12(9). 3631–3631. 4 indexed citations
2.
Bock, Jasper De, et al.. (2017). Imprecise continuous-time Markov chains. International Journal of Approximate Reasoning. 88. 452–528. 18 indexed citations
3.
Toma, Tudor, Robert-Jan Bosman, Arno Siebes, Niels Peek, & Ameen Abu‐Hanna. (2010). Learning predictive models that use pattern discovery—A bootstrap evaluative approach applied in organ functioning sequences. Journal of Biomedical Informatics. 43(4). 578–586. 10 indexed citations
4.
Adams, Niall M., Céline Robardet, Arno Siebes, & Jean‐François Boulicaut. (2009). Advances in intelligent data analysis VIII : 8th International Symposium on Intelligent Data Analysis, IDA 2009, Lyon, France, August 31-September 2, 2009 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 5 indexed citations
5.
Siebes, Arno, et al.. (2009). Low-Entropy Set Selection. 569–580. 7 indexed citations
6.
Siebes, Arno, et al.. (2008). Discovering Relational Items Sets Efficiently.. 108–119. 10 indexed citations
7.
Vreeken, Jilles, Matthijs van Leeuwen, & Arno Siebes. (2007). Preserving Privacy through Data Generation. 685–690. 16 indexed citations
8.
Siebes, Arno, et al.. (2006). Frequent Patterns that Compress. Data Archiving and Networked Services (DANS). 6 indexed citations
9.
Famili, A. Fazel, Joost N. Kok, José M. Peña, Arno Siebes, & Ad Feelders. (2005). Advances in intelligent data analysis VI : 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005 : proceedings. Digital Access to Libraries (Université catholique de Louvain (UCL), l'Université de Namur (UNamur) and the Université Saint-Louis (USL-B)). 3 indexed citations
10.
Famili, A. Fazel, Joost N. Kok, José M. Peña, Arno Siebes, & Ad Feelders. (2005). Advances in Intelligent Data Analysis VI: 6th International Symposium on Intelligent Data Analysis, IDA 2005, Madrid, Spain, September 8-10, 2005, Proceedings (Lecture Notes in Computer Science). Springer eBooks. 1 indexed citations
11.
Siebes, Arno. (2002). From discovered knowledge to decisionmaking. Oxford University Press eBooks. 524–528. 1 indexed citations
12.
Struzik, Zbigniew R. & Arno Siebes. (2002). Wavelet transform based multifractal formalism in outlier detection and localisation for financial time series. Physica A Statistical Mechanics and its Applications. 309(3-4). 388–402. 38 indexed citations
13.
Castelo, Robert & Arno Siebes. (2000). Priors on network structures. Biasing the search for Bayesian networks. International Journal of Approximate Reasoning. 24(1). 39–57. 37 indexed citations
14.
Siebes, Arno & Martin Kersten. (1997). KESO: minimizing database interaction. Data Archiving and Networked Services (DANS). 247–250. 2 indexed citations
15.
Holsheimer, Marcel, Martin Kersten, & Arno Siebes. (1996). Data surveyor: the nuggets in parallel. Knowledge Discovery and Data Mining. 447–467. 11 indexed citations
16.
Holsheimer, Marcel, Martin Kersten, & Arno Siebes. (1996). Data Surveyor: Searching the Nuggets in Parallel. UvA-DARE (University of Amsterdam). 447–467. 25 indexed citations
17.
Siebes, Arno. (1996). Data Mining: What it is and how it is done.. SEBD. 329–344. 3 indexed citations
18.
Siebes, Arno, et al.. (1995). Un)decidability results for trigger design theories. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–31. 1 indexed citations
19.
Holsheimer, Marcel & Arno Siebes. (1994). Data Mining: the search for knowledge in databases.. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 1–78. 101 indexed citations
20.
Siebes, Arno, et al.. (1993). Termination and confluence of rule execution. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 245–255. 21 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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