Alessa Angerschmid
- Artificial Intelligence top 10%
- Health Informatics top 2%
- Safety Research top 10%
- Computer Vision and Pattern Recognition
- Plant Science
- Co-authors
- Andreas HolzingerAnna SarantiCarl Orge RetzlaffJianlong ZhouFang ChenVladimir PejakovićKarl StampferDavid Schneeberger
- Topics
- Explainable Artificial Intelligence (XAI) (8 papers)Topic Modeling (3 papers)Artificial Intelligence in Healthcare and Education (2 papers)
- Journals
- SHILAP Revista de lepidopterologíaSensorsJournal of Biomedical Informatics
In The Last Decade
Alessa Angerschmid
11 papers receiving 398 citations
Hit Papers
Peers
Comparison fields: 5 of 105
- Artificial Intelligence 184
- Health Informatics 62
- Safety Research 60
- Computer Vision and Pattern Recognition 40
- Plant Science 33
Countries citing papers authored by Alessa Angerschmid
This map shows the geographic impact of Alessa Angerschmid'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 Alessa Angerschmid with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alessa Angerschmid more than expected).
Fields of papers citing papers by Alessa Angerschmid
This network shows the impact of papers produced by Alessa Angerschmid. 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 Alessa Angerschmid. The network helps show where Alessa Angerschmid may publish in the future.
Co-authorship network of co-authors of Alessa Angerschmid
This figure shows the co-authorship network connecting the top 25 collaborators of Alessa Angerschmid. A scholar is included among the top collaborators of Alessa Angerschmid 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 Alessa Angerschmid. Alessa Angerschmid is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 29 | |
| 3 | Post-hoc vs ante-hoc explanations: xAI design guidelines for data scientistsbreakdown → | 68 |
| 4 | Human-in-the-Loop Reinforcement Learning: A Survey and Position on Requirements, Challenges, and Opportunitiesbreakdown → | 51 |
| 5 | 7 | |
| 6 | 24 | |
| 7 | 102 | |
| 8 | 1 | |
| 9 | 11 | |
| 10 | 95 | |
| 11 | 18 |
About Alessa Angerschmid
Alessa Angerschmid is a scholar working on Health Informatics, Artificial Intelligence and Safety Research, having authored 11 papers that have together received 412 indexed citations. Recurring topics across this work include Explainable Artificial Intelligence (XAI) (8 papers), Topic Modeling (3 papers) and Artificial Intelligence in Healthcare and Education (2 papers). The work is most often cited by research in Health Informatics (62 citations), Safety Research (60 citations) and Artificial Intelligence (184 citations). Alessa Angerschmid has collaborated with scholars based in Austria, Germany and Canada. Frequent co-authors include Andreas Holzinger, Anna Saranti, Carl Orge Retzlaff, Jianlong Zhou, Fang Chen, Vladimir Pejaković, Karl Stampfer, David Schneeberger, Richard Röttger and Francisco Medel-Jiménez. Their work appears in journals such as SHILAP Revista de lepidopterología, Sensors and Journal of Biomedical Informatics.
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.