Mario Sänger
- Artificial Intelligence
- Molecular Biology
- Information Systems
- Health Information Management
- Information Systems and Management
- Co-authors
- Ulf LeserLeon WeberJurica ŠevaDamian RiekeMario LampingNisar P. MalekIvan JelasMaryam Habibi
- Topics
- Topic Modeling (8 papers)Biomedical Text Mining and Ontologies (7 papers)Natural Language Processing Techniques (5 papers)
In The Last Decade
Mario Sänger
10 papers receiving 79 citations
Peers
Comparison fields: 5 of 24
- Artificial Intelligence 66
- Molecular Biology 58
- Information Systems 5
- Health Information Management 3
- Information Systems and Management 3
Countries citing papers authored by Mario Sänger
This map shows the geographic impact of Mario Sänger'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 Mario Sänger with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mario Sänger more than expected).
Fields of papers citing papers by Mario Sänger
This network shows the impact of papers produced by Mario Sänger. 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 Mario Sänger. The network helps show where Mario Sänger may publish in the future.
Co-authorship network of co-authors of Mario Sänger
This figure shows the co-authorship network connecting the top 25 collaborators of Mario Sänger. A scholar is included among the top collaborators of Mario Sänger 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 Mario Sänger. Mario Sänger is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 29 | |
| 6 | 6 | |
| 7 | 8 | |
| 8 | Classifying German Animal Experiment Summaries with Multi-lingual BERT at CLEF eHealth 2019 Task 1. | 7 |
| 9 | WBI at CLEF eHealth 2018 Task 1: Language-independent ICD-10 Coding using Multi-lingual Embeddings and Recurrent Neural Networks. | 7 |
| 10 | SCARE ― The Sentiment Corpus of App Reviews with Fine-grained Annotations in German. | 4 |
About Mario Sänger
Mario Sänger is a scholar working on Artificial Intelligence, Information Systems and Management and Molecular Biology, having authored 10 papers that have together received 82 indexed citations. Recurring topics across this work include Topic Modeling (8 papers), Biomedical Text Mining and Ontologies (7 papers) and Natural Language Processing Techniques (5 papers). The work is most often cited by research in Health Informatics (3 citations), Artificial Intelligence (66 citations) and Molecular Biology (58 citations). Mario Sänger has collaborated with scholars based in Germany, Austria and Spain. Frequent co-authors include Ulf Leser, Leon Weber, Jurica Ševa, Damian Rieke, Mario Lamping, Nisar P. Malek, Ivan Jelas, Maryam Habibi, Oliver Kohlbacher and Johannes Starlinger. Their work appears in journals such as Bioinformatics, BMC Bioinformatics and Language Resources and Evaluation.
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.