Bernd Wiswedel
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Artificial Intelligence top 5%
- Information Systems top 5%
- Information Systems and Management top 5%
- Co-authors
- Michael R. BertholdThorsten MeinlThomas R. GabrielNicolas CebronKilian ThielFabian DillTobias KötterStephan Beisken
- Topics
- Advanced Clustering Algorithms Research (5 papers)Scientific Computing and Data Management (5 papers)Computational Drug Discovery Methods (4 papers)
- Partner nations
- GermanyFranceSwitzerland
In The Last Decade
Bernd Wiswedel
16 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Molecular Biology 441
- Computational Theory and Mathematics 299
- Artificial Intelligence 203
- Information Systems 139
- Information Systems and Management 131
Countries citing papers authored by Bernd Wiswedel
This map shows the geographic impact of Bernd Wiswedel'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 Bernd Wiswedel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bernd Wiswedel more than expected).
Fields of papers citing papers by Bernd Wiswedel
This network shows the impact of papers produced by Bernd Wiswedel. 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 Bernd Wiswedel. The network helps show where Bernd Wiswedel may publish in the future.
Co-authorship network of co-authors of Bernd Wiswedel
This figure shows the co-authorship network connecting the top 25 collaborators of Bernd Wiswedel. A scholar is included among the top collaborators of Bernd Wiswedel 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 Bernd Wiswedel. Bernd Wiswedel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 23 | |
| 3 | 1 | |
| 4 | OpenML: A Collaborative Science Platform | 23 |
| 5 | 103 | |
| 6 | Analyzing the Web from Start to Finish Knowledge Extraction from a Web Forum using KNIME | 1 |
| 7 | 9 | |
| 8 | A RapidMiner extension for open machine learning | 4 |
| 9 | 30 | |
| 10 | 5 | |
| 11 | KNIME - the Konstanz information minerbreakdown → | 775 |
| 12 | The Konstanz Information Miner 2.0 | 2 |
| 13 | 11 | |
| 14 | KNIME: The Konstanz Information Miner | 112 |
| 15 | Fuzzy Clustering in Parallel Universes with Noise Detection | 1 |
| 16 | 6 | |
| 17 | 10 |
About Bernd Wiswedel
Bernd Wiswedel is a scholar working on Information Systems and Management, Computational Theory and Mathematics and Signal Processing, having authored 17 papers that have together received 1.1k indexed citations. Recurring topics across this work include Advanced Clustering Algorithms Research (5 papers), Scientific Computing and Data Management (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Information Systems and Management (131 citations), Computational Theory and Mathematics (299 citations) and Biophysics (60 citations). Bernd Wiswedel has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Michael R. Berthold, Thorsten Meinl, Thomas R. Gabriel, Nicolas Cebron, Kilian Thiel, Fabian Dill, Tobias Kötter, Stephan Beisken, Luís F. de Figueiredo and Christoph Steinbeck. Their work appears in journals such as Bioinformatics, BMC Bioinformatics and Fuzzy Sets and 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.