Arno Siebes
Impact in
- Signal Processing top 2%
- Data Management and Algorithms
- Time Series Analysis and Forecasting
- Information Systems top 1%
- Data Mining Algorithms and Applications
Papers in
-
- Bayesian Modeling and Causal Inference 10
- Algorithms and Data Compression 9
- Semantic Web and Ontologies 6
-
- Data Mining Algorithms and Applications 27
- Co-authors
- Jilles Vreeken (10 shared papers)Matthijs van Leeuwen (5 shared papers)Marcel Holsheimer (3 shared papers)Zbigniew R. Struzik (4 shared papers)Heike Hofmann (1 shared paper)Adalbert Wilhelm (1 shared paper)Robert Castelo (3 shared papers)Luc De Raedt (2 shared papers)
- Journals
- Data Mining and Knowledge Discovery (3 papers)International Journal of Approximate Reasoning (2 papers)Information Systems (2 papers)ACM Transactions on Information Systems (1 paper)Physica A Statistical Mechanics and its Applications (1 paper)
- Partner nations
- NetherlandsUnited KingdomGermany
In The Last Decade
Arno Siebes
80 papers receiving 885 citations
Peers
Comparison fields: 5 of 111
- Signal Processing 256
- Information Systems 469
- Computational Theory and Mathematics 257
- Artificial Intelligence 483
- Computer Networks and Communications 163
Countries citing papers authored by Arno Siebes
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
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.
All Works
Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 133 | |
| 2 | Data Mining: the search for knowledge in databases. | 1994 | 99 |
| 3 | 2006 | 76 | |
| 4 | 2000 | 66 | |
| 5 | Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery | 2001 | 39 |
| 6 | 2002 | 38 | |
| 7 | 2000 | 37 | |
| 8 | 2007 | 30 | |
| 9 | Data Surveyor: Searching the Nuggets in Parallel | 1996 | 25 |
| 10 | 1999 | 24 | |
| 11 | 2016 | 23 | |
| 12 | 2008 | 22 | |
| 13 | 1993 | 21 | |
| 14 | 2006 | 18 | |
| 15 | 2017 | 18 | |
| 16 | 2007 | 16 | |
| 17 | Data surveying foundations of an inductive query language | 1995 | 15 |
| 18 | 2020 | 15 | |
| 19 | 2009 | 15 | |
| 20 | 2009 | 13 |
About Arno Siebes
Arno Siebes is a scholar working on Artificial Intelligence, Information Systems, Computer Networks and Communications, Signal Processing and Computational Theory and Mathematics, having authored 91 papers that have together received 976 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (27 papers), Advanced Database Systems and Queries (21 papers), Data Management and Algorithms (15 papers), Rough Sets and Fuzzy Logic (14 papers), Bayesian Modeling and Causal Inference (10 papers), Algorithms and Data Compression (9 papers), Semantic Web and Ontologies (6 papers) and Time Series Analysis and Forecasting (6 papers). The work is most often cited by research in Signal Processing (256 citations), Information Systems (469 citations), Computational Theory and Mathematics (257 citations), Artificial Intelligence (483 citations) and Computer Networks and Communications (163 citations). Arno Siebes has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Jilles Vreeken, Matthijs van Leeuwen, Marcel Holsheimer, Zbigniew R. Struzik, Heike Hofmann, Adalbert Wilhelm, Robert Castelo, Luc De Raedt, Martin Kersten and Ad Feelders. Their work appears in journals such as Data Mining and Knowledge Discovery, International Journal of Approximate Reasoning, Information Systems, ACM Transactions on Information Systems and Physica A Statistical Mechanics and its Applications.
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.