Ulf Johansson
- Artificial Intelligence top 2%
- Computational Theory and Mathematics top 5%
- Information Systems top 5%
- Nature and Landscape Conservation top 10%
- Molecular Biology
- Co-authors
- Tuve LöfströmHenrik BoströmLars NiklassonRikard KönigHenrik LinussonHarry ErikssonUlf NorinderAndres Kiviste
- Topics
- Machine Learning and Data Classification (35 papers)Neural Networks and Applications (30 papers)Data Mining Algorithms and Applications (22 papers)
- Partner nations
- SwedenUnited KingdomIran
In The Last Decade
Ulf Johansson
110 papers receiving 955 citations
Peers
Comparison fields: 5 of 128
- Artificial Intelligence 553
- Computational Theory and Mathematics 133
- Information Systems 132
- Nature and Landscape Conservation 102
- Molecular Biology 86
Countries citing papers authored by Ulf Johansson
This map shows the geographic impact of Ulf Johansson'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 Ulf Johansson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ulf Johansson more than expected).
Fields of papers citing papers by Ulf Johansson
This network shows the impact of papers produced by Ulf Johansson. 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 Ulf Johansson. The network helps show where Ulf Johansson may publish in the future.
Co-authorship network of co-authors of Ulf Johansson
This figure shows the co-authorship network connecting the top 25 collaborators of Ulf Johansson. A scholar is included among the top collaborators of Ulf Johansson 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 Ulf Johansson. Ulf Johansson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 2 | |
| 3 | 6 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 10 | |
| 7 | The Trade-Off between Accuracy and Interpretability for Predictive In Silico Modeling | 1 |
| 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 | 11 | |
| 13 | 7 | |
| 14 | Introducing GEMS * a Novel Technique for Ensemble Creation | 3 |
| 15 | Why Not Use an Oracle When You Got One | 10 |
| 16 | Predicting the Benefit of Rule Extraction: A Novel Component in Data Mining | 3 |
| 17 | Why Rule Extraction Matters | 5 |
| 18 | The Truth is in There : Rule Extraction from Opaque Models Using Genetic Programming | 33 |
| 19 | Accuracy vs. comprehensibility in data mining models | 28 |
| 20 | An Adaptive 'Rock, Scissors and Paper' Player Based on a Tapped Delay Neural Network | 4 |
About Ulf Johansson
Ulf Johansson is a scholar working on Artificial Intelligence, Nature and Landscape Conservation and Computational Theory and Mathematics, having authored 121 papers that have together received 1.1k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (35 papers), Neural Networks and Applications (30 papers) and Data Mining Algorithms and Applications (22 papers). The work is most often cited by research in Health Informatics (27 citations), Artificial Intelligence (553 citations) and Computational Theory and Mathematics (133 citations). Ulf Johansson has collaborated with scholars based in Sweden, United Kingdom and Iran. Frequent co-authors include Tuve Löfström, Henrik Boström, Lars Niklasson, Rikard König, Henrik Linusson, Harry Eriksson, Ulf Norinder, Andres Kiviste, Jan Stenlid and Urban Nilsson. Their work appears in journals such as Expert Systems with Applications, Frontiers in Plant Science and Pattern Recognition.
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.