Bettina Finzel
- Artificial Intelligence top 10%
- Health Informatics top 5%
- Information Systems and Management
- Computer Vision and Pattern Recognition
- Safety Research
- Co-authors
- Gesina SchwalbeUte SchmidAlessa AngerschmidAnna SarantiAndreas HolzingerBastian PfeiferDaniela NicklasCarol I. Geppert
- Topics
- Explainable Artificial Intelligence (XAI) (10 papers)Machine Learning in Healthcare (5 papers)Topic Modeling (3 papers)
- Journals
- SHILAP Revista de lepidopterologíaPflügers Archiv - European Journal of PhysiologyData Mining and Knowledge Discovery
- Partner nations
- GermanyAustriaUnited States
In The Last Decade
Bettina Finzel
13 papers receiving 261 citations
Hit Papers
Peers
Comparison fields: 5 of 83
- Artificial Intelligence 189
- Health Informatics 49
- Information Systems and Management 27
- Computer Vision and Pattern Recognition 25
- Safety Research 25
Countries citing papers authored by Bettina Finzel
This map shows the geographic impact of Bettina Finzel'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 Bettina Finzel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bettina Finzel more than expected).
Fields of papers citing papers by Bettina Finzel
This network shows the impact of papers produced by Bettina Finzel. 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 Bettina Finzel. The network helps show where Bettina Finzel may publish in the future.
Co-authorship network of co-authors of Bettina Finzel
This figure shows the co-authorship network connecting the top 25 collaborators of Bettina Finzel. A scholar is included among the top collaborators of Bettina Finzel 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 Bettina Finzel. Bettina Finzel is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 5 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 24 | |
| 5 | A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and conceptsbreakdown → | 138 |
| 6 | 1 | |
| 7 | 11 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | Deriving Temporal Prototypes from Saliency Map Clusters for the Analysis of Deep-Learning-based Facial Action Unit Classification. | 2 |
| 11 | 40 | |
| 12 | 24 | |
| 13 | 5 | |
| 14 | Towards Understanding Mobility in Museums. | 6 |
About Bettina Finzel
Bettina Finzel is a scholar working on Health Informatics, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 14 papers that have together received 266 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (10 papers), Machine Learning in Healthcare (5 papers) and Topic Modeling (3 papers). The work is most often cited by research in Health Informatics (49 citations), Artificial Intelligence (189 citations) and Information Systems and Management (27 citations). Bettina Finzel has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Gesina Schwalbe, Ute Schmid, Alessa Angerschmid, Anna Saranti, Andreas Holzinger, Bastian Pfeifer, Daniela Nicklas, Carol I. Geppert, Michaela Benz and Thomas Wittenberg. Their work appears in journals such as SHILAP Revista de lepidopterología, Pflügers Archiv - European Journal of Physiology and Data Mining and Knowledge Discovery.
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.