Ulf Johansson
About
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
| # | Title | Journal | Authors | Indexed citations |
|---|---|---|---|---|
| 1 | Classification with reject option: Distribution-free error guarantees via conformal prediction | Machine Learning with Applications | Tuve Löfström, Ulf Johansson et al. | 0 |
| 2 | Investigating the impact of calibration on the quality of explanations | Annals of Mathematics and Artificial Intelligence | Tuve Löfström, Ulf Johansson et al. | 2 |
| 3 | Field testing of transgenic aspen from large greenhouse screening identifies unexpected winners | Plant Biotechnology Journal | Marta Derba‐Maceluch, Madhavi Latha Gandla et al. | 6 |
| 4 | Impact of xylan on field productivity and wood saccharification properties in aspen | Frontiers in Plant Science | Marta Derba‐Maceluch, Pramod Sivan et al. | 6 |
| 5 | Growth of northern red oak in southern Sweden | Scandinavian Journal of Forest Research | Nils Fahlvik, Ulf Johansson | 3 |
| 6 | Cell Wall Acetylation in Hybrid Aspen Affects Field Performance, Foliar Phenolic Composition and Resistance to Biological Stress Factors in a Construct-Dependent Fashion | Frontiers in Plant Science | Marta Derba‐Maceluch, Fariba Amini et al. | 10 |
| 7 | The Trade-Off between Accuracy and Interpretability for Predictive In Silico Modeling | Future Medicinal Chemistry | Ulf Johansson, Ulf Norinder et al. | 1 |
| 8 | Evolving a Locally Optimized Instance Based Learner | Borås Academic Digital Archive (University of Borås) | Ulf Johansson, Rikard König et al. | 5 |
| 9 | Genetic Decision Lists for Concept Description | Borås Academic Digital Archive (University of Borås) | Ulf Johansson, Rikard König et al. | 1 |
| 10 | Using Genetic Programming to Increase Rule Quality | Borås Academic Digital Archive (University of Borås) | Rikard König, Ulf Johansson et al. | 5 |
| 11 | Extending Nearest Neighbor Classification with Spheres of Confidence | KTH Publication Database DiVA (KTH Royal Institute of Technology) | Ulf Johansson, Henrik Boström et al. | 6 |
| 12 | On the Use of Accuracy and Diversity Measures for Evaluating and Selecting Ensembles of Classifiers | KTH Publication Database DiVA (KTH Royal Institute of Technology) | Tuve Löfström, Ulf Johansson et al. | 11 |
| 13 | Rule Extraction from Opaque Models-- A Slightly Different Perspective | Ulf Johansson, Tuve Löfström et al. | 7 | |
| 14 | Introducing GEMS * a Novel Technique for Ensemble Creation | The Florida AI Research Society | Ulf Johansson, Tuve Löfström et al. | 3 |
| 15 | Why Not Use an Oracle When You Got One | International Conference on Neural Information Processing | Ulf Johansson, Tuve Löfström et al. | 10 |
| 16 | Predicting the Benefit of Rule Extraction: A Novel Component in Data Mining | Tuve Löfström, Ulf Johansson | 3 | |
| 17 | Why Rule Extraction Matters | International Conference on Software Engineering | Ulf Johansson, Lars Niklasson et al. | 5 |
| 18 | The Truth is in There : Rule Extraction from Opaque Models Using Genetic Programming | The Florida AI Research Society | Ulf Johansson, Rikard König et al. | 33 |
| 19 | Accuracy vs. comprehensibility in data mining models | International Conference on Information Fusion | Ulf Johansson, Lars Niklasson et al. | 28 |
| 20 | An Adaptive 'Rock, Scissors and Paper' Player Based on a Tapped Delay Neural Network | KTH Publication Database DiVA (KTH Royal Institute of Technology) | Lars Niklasson, Henrik Engström et al. | 4 |
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.