Henrik Boström
- Artificial Intelligence top 1%
- Molecular Biology
- Computational Theory and Mathematics top 2%
- Signal Processing top 5%
- Computer Vision and Pattern Recognition top 10%
- Co-authors
- M. W. WhitehouseUlf JohanssonTuve LöfströmPanagiotis PapapetrouHenrik LinussonJing ZhaoLars AskerIsak Karlsson
- Topics
- Machine Learning and Data Classification (32 papers)Data Mining Algorithms and Applications (28 papers)Imbalanced Data Classification Techniques (21 papers)
- Journals
- The Journal of Clinical Endocrinology & MetabolismThe American Journal of MedicineJournal of Medicinal Chemistry
- Partner nations
- SwedenUnited KingdomHungary
In The Last Decade
Henrik Boström
159 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 178
- Artificial Intelligence 854
- Molecular Biology 518
- Computational Theory and Mathematics 275
- Signal Processing 240
- Computer Vision and Pattern Recognition 142
Countries citing papers authored by Henrik Boström
This map shows the geographic impact of Henrik Boström'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 Henrik Boström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Henrik Boström more than expected).
Fields of papers citing papers by Henrik Boström
This network shows the impact of papers produced by Henrik Boström. 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 Henrik Boström. The network helps show where Henrik Boström may publish in the future.
Co-authorship network of co-authors of Henrik Boström
This figure shows the co-authorship network connecting the top 25 collaborators of Henrik Boström. A scholar is included among the top collaborators of Henrik Boström 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 Henrik Boström. Henrik Boström 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 | Learning from Administrative Health Registries | 1 |
| 3 | 4 | |
| 4 | Learning Decision Trees from Histogram Data Using Multiple Subsets of Bins | 6 |
| 5 | Applying Methods for Signal Detection in Spontaneous Reports to Electronic Patient Records | 4 |
| 6 | 3 | |
| 7 | De-identifying health records by means of active learning | 11 |
| 8 | The Trade-Off between Accuracy and Interpretability for Predictive In Silico Modeling | 1 |
| 9 | Fusion of dimensionality reduction methods: A case study in microarray classification | 5 |
| 10 | Extending Nearest Neighbor Classification with Spheres of Confidence | 6 |
| 11 | 12 | |
| 12 | Using background knowledge for graph based learning : a case study in chemoinformatics | 2 |
| 13 | Classification with Intersecting rules | 0 |
| 14 | Learning to Classify Structured Data by Graph Propositionalization | 4 |
| 15 | Maximizing the Area under the ROC Curve using Incremental Reduced Error Pruning | 11 |
| 16 | Pruning and Exclusion Criteria for Unordered Incremental Reduced Error Pruning | 6 |
| 17 | Theory-Guideed Induction of Logic Programs by Inference of Regular Languages. | 7 |
| 18 | Integrating Algorithmic Debugging and Unfolding Transformation in an Interactive Learner | 4 |
| 19 | 18 | |
| 20 | Cystinuria in Sweden. III. The prognosis of homozygous cystinuria. | 6 |
About Henrik Boström
Henrik Boström is a scholar working on Toxicology, Artificial Intelligence and Computational Theory and Mathematics, having authored 167 papers that have together received 2.4k indexed citations. Recurring topics across this work include Machine Learning and Data Classification (32 papers), Data Mining Algorithms and Applications (28 papers) and Imbalanced Data Classification Techniques (21 papers). The work is most often cited by research in Toxicology (126 citations), Artificial Intelligence (854 citations) and Signal Processing (240 citations). Henrik Boström has collaborated with scholars based in Sweden, United Kingdom and Hungary. Frequent co-authors include M. W. Whitehouse, Ulf Johansson, Tuve Löfström, Panagiotis Papapetrou, Henrik Linusson, Jing Zhao, Lars Asker, Isak Karlsson, Ulf Norinder and Aron Henriksson. Their work appears in journals such as The Journal of Clinical Endocrinology & Metabolism, The American Journal of Medicine and Journal of Medicinal Chemistry.
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.