Marcel Holsheimer
Impact in
- Information Systems top 5%
- Data Mining Algorithms and Applications
- Signal Processing top 10%
- Data Management and Algorithms
Papers in
-
- Data Mining Algorithms and Applications 5
-
- Advanced Database Systems and Queries 2
- Co-authors
- Arno Siebes (3 shared papers)Martin Kersten (4 shared papers)Hennie Daniels (1 shared paper)Ad Feelders (1 shared paper)Hannu Toivonen (1 shared paper)Heikki Mannila (1 shared paper)
- Journals
- Information & Management (1 paper)UvA-DARE (University of Amsterdam) (1 paper)Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands (3 papers)Knowledge Discovery and Data Mining (1 paper)
- Partner nations
- NetherlandsFinland
In The Last Decade
Marcel Holsheimer
7 papers receiving 266 citations
Peers
Comparison fields: 5 of 68
- Information Systems 202
- Signal Processing 76
- Computational Theory and Mathematics 88
- Management Information Systems 41
- Artificial Intelligence 144
Countries citing papers authored by Marcel Holsheimer
This map shows the geographic impact of Marcel Holsheimer'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 Marcel Holsheimer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marcel Holsheimer more than expected).
Fields of papers citing papers by Marcel Holsheimer
This network shows the impact of papers produced by Marcel Holsheimer. 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 Marcel Holsheimer. The network helps show where Marcel Holsheimer may publish in the future.
Co-authors
The 6 scholars most cited alongside Marcel Holsheimer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 103 | |
| 2 | Data Mining: the search for knowledge in databases. | 1994 | 101 |
| 3 | A Perspective on Databases and data mining | 1995 | 61 |
| 4 | Data Surveyor: Searching the Nuggets in Parallel | 1996 | 25 |
| 5 | Architectural Support for Data Mining. | 1994 | 14 |
| 6 | Data surveyor: the nuggets in parallel | 1996 | 11 |
| 7 | 1999 | 8 |
About Marcel Holsheimer
Marcel Holsheimer is a scholar working on Information Systems, Computer Networks and Communications, Computational Theory and Mathematics, Management Information Systems and Signal Processing, having authored 7 papers that have together received 323 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (5 papers), Rough Sets and Fuzzy Logic (2 papers), Advanced Database Systems and Queries (2 papers), Big Data and Business Intelligence (1 paper), Data Management and Algorithms (1 paper), Algorithms and Data Compression (1 paper) and Data Quality and Management (1 paper). The work is most often cited by research in Information Systems (202 citations), Signal Processing (76 citations), Computational Theory and Mathematics (88 citations), Management Information Systems (41 citations) and Artificial Intelligence (144 citations). Marcel Holsheimer has collaborated with scholars based in Netherlands and Finland. Frequent co-authors include Arno Siebes, Martin Kersten, Hennie Daniels, Ad Feelders, Hannu Toivonen and Heikki Mannila. Their work appears in journals such as Information & Management, UvA-DARE (University of Amsterdam), Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands and Knowledge Discovery and Data Mining.
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.