Rikard König
- Artificial Intelligence top 10%
- Information Systems top 10%
- Computational Theory and Mathematics top 10%
- Signal Processing
- Biomedical Engineering
- Co-authors
- Ulf JohanssonLars NiklassonTuve LöfströmHenrik BoströmMaria RiveiroM. DreschmannDamien PicardJürgen Becker
- Topics
- Evolutionary Algorithms and Applications (18 papers)Data Mining Algorithms and Applications (16 papers)Neural Networks and Applications (12 papers)
- Journals
- International Conference on Information FusionKTH Publication Database DiVA (KTH Royal Institute of Technology)IEEE International Conference on Neural Networks
- Partner nations
- SwedenGermanySwitzerland
In The Last Decade
Rikard König
30 papers receiving 210 citations
Peers
Comparison fields: 5 of 68
- Artificial Intelligence 190
- Information Systems 66
- Computational Theory and Mathematics 37
- Signal Processing 27
- Biomedical Engineering 21
Countries citing papers authored by Rikard König
This map shows the geographic impact of Rikard König'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 Rikard König with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rikard König more than expected).
Fields of papers citing papers by Rikard König
This network shows the impact of papers produced by Rikard König. 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 Rikard König. The network helps show where Rikard König may publish in the future.
Co-authorship network of co-authors of Rikard König
This figure shows the co-authorship network connecting the top 25 collaborators of Rikard König. A scholar is included among the top collaborators of Rikard König 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 Rikard König. Rikard König is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | Enhancing genetic programming for predictive modeling | 4 |
| 3 | 8 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 9 | |
| 7 | 2 | |
| 8 | Evolving a Locally Optimized Instance Based Learner | 5 |
| 9 | Genetic Decision Lists for Concept Description | 1 |
| 10 | Using Genetic Programming to Increase Rule Quality | 5 |
| 11 | Extending Nearest Neighbor Classification with Spheres of Confidence | 6 |
| 12 | 23 | |
| 13 | 7 | |
| 14 | Introducing GEMS * a Novel Technique for Ensemble Creation | 3 |
| 15 | Why Not Use an Oracle When You Got One | 10 |
| 16 | 8 | |
| 17 | Increasing rule extraction comprehensibility | 5 |
| 18 | 13 | |
| 19 | The Truth is in There : Rule Extraction from Opaque Models Using Genetic Programming | 33 |
| 20 | Accuracy vs. comprehensibility in data mining models | 28 |
About Rikard König
Rikard König is a scholar working on Artificial Intelligence, Information Systems and Signal Processing, having authored 35 papers that have together received 257 indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (18 papers), Data Mining Algorithms and Applications (16 papers) and Neural Networks and Applications (12 papers). The work is most often cited by research in Health Informatics (16 citations), Artificial Intelligence (190 citations) and Information Systems (66 citations). Rikard König has collaborated with scholars based in Sweden, Germany and Switzerland. Frequent co-authors include Ulf Johansson, Lars Niklasson, Tuve Löfström, Henrik Boström, Maria Riveiro, M. Dreschmann, Damien Picard, Jürgen Becker, Davide Rossi and R. Guerrieri. Their work appears in journals such as International Conference on Information Fusion, KTH Publication Database DiVA (KTH Royal Institute of Technology) and IEEE International Conference on Neural Networks.
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.