Arno Siebes

48 papers receiving 751 citations

Peers

Arno Siebes
Comparison fields: 5 of 99
  • Signal Processing 216
  • Information Systems 434
  • Computational Theory and Mathematics 237
  • Artificial Intelligence 424
  • Computer Networks and Communications 144
Replace Liqiang Geng with:
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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-authors

The 25 scholars most cited alongside Arno Siebes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Arno Siebes Line = papers co-authored together Arno Siebes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010133
2
Data Mining: the search for knowledge in databases.
1994101
3 200676
4 200067
5
Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery
200139
6 200238
7 200037
8 200730
9
Data Surveyor: Searching the Nuggets in Parallel
199625
10 201623
11 199321
12 200821
13 201718
14 200618
15 200716
16 200915
17 200913
18
Data surveyor: the nuggets in parallel
199611
19
Discovering Relational Items Sets Efficiently.
200810
20 201010

About Arno Siebes

Arno Siebes is a scholar working on Artificial Intelligence, Information Systems, Computational Theory and Mathematics, Computer Networks and Communications and Signal Processing, having authored 53 papers that have together received 824 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (22 papers), Rough Sets and Fuzzy Logic (12 papers), Advanced Database Systems and Queries (10 papers), Data Management and Algorithms (9 papers), Bayesian Modeling and Causal Inference (7 papers), Algorithms and Data Compression (7 papers), Data Quality and Management (4 papers) and Gene expression and cancer classification (3 papers). The work is most often cited by research in Signal Processing (216 citations), Information Systems (434 citations), Computational Theory and Mathematics (237 citations), Artificial Intelligence (424 citations) and Computer Networks and Communications (144 citations). Arno Siebes has collaborated with scholars based in Netherlands, Germany and Belgium. Frequent co-authors include Jilles Vreeken, Matthijs van Leeuwen, Marcel Holsheimer, Zbigniew R. Struzik, Adalbert Wilhelm, Heike Hofmann, Luc De Raedt, Robert Castelo, Martin Kersten and Jasper De Bock. Their work appears in journals such as International Journal of Approximate Reasoning, Data Mining and Knowledge Discovery, Bioinformatics, Physica A Statistical Mechanics and its Applications and Information Systems.

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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