Erik Faessler
Impact in
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- Topic Modeling
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Advanced Text Analysis Techniques
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- Biomedical Text Mining and Ontologies
- RNA Research and Splicing
- RNA modifications and cancer
- Bioinformatics and Genomic Networks
Papers in
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- Topic Modeling 7
- Semantic Web and Ontologies 6
- Natural Language Processing Techniques 6
- Machine Learning in Healthcare 2
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- Biomedical Text Mining and Ontologies 10
- Bioinformatics and Genomic Networks 2
- Genetics, Bioinformatics, and Biomedical Research 1
- Co-authors
- Udo Hahn (15 shared papers)Ekaterina Buyko (4 shared papers)Joachim Wermter (2 shared papers)Sascha Schäuble (3 shared papers)Kathrin Thedieck (2 shared papers)Alexander Martin Heberle (2 shared papers)Ahmed Sadik (1 shared paper)Christine Sers (1 shared paper)
- Journals
- Language Resources and Evaluation (2 papers)Journal of Proteome Research (1 paper)Life Science Alliance (1 paper)Nucleic Acids Research (1 paper)Computational Intelligence (1 paper)
- Partner nations
- GermanyAustriaNetherlands
In The Last Decade
Erik Faessler
16 papers receiving 161 citations
Peers
Comparison fields: 5 of 44
- Artificial Intelligence 87
- Molecular Biology 152
- Ecological Modeling 4
- Cell Biology 12
- Information Systems and Management 5
Countries citing papers authored by Erik Faessler
This map shows the geographic impact of Erik Faessler'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 Erik Faessler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Erik Faessler more than expected).
Fields of papers citing papers by Erik Faessler
This network shows the impact of papers produced by Erik Faessler. 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 Erik Faessler. The network helps show where Erik Faessler may publish in the future.
Co-authors
The 25 scholars most cited alongside Erik Faessler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 55 | |
| 2 | 2009 | 52 | |
| 3 | 2011 | 13 | |
| 4 | 2015 | 8 | |
| 5 | UIMA-Based JCoRe 2.0 Goes GitHub and Maven Central ― State-of-the-Art Software Resource Engineering and Distribution of NLP Pipelines. | 2016 | 6 |
| 6 | HPI-DHC at TREC 2018 Precision Medicine Track. | 2018 | 6 |
| 7 | Active Learning-based corpus annotation--the PathoJen experience. | 2012 | 6 |
| 8 | 2023 | 5 | |
| 9 | 2017 | 5 | |
| 10 | Integrated Semantic Search on Structured and Unstructured Data in the ADOnIS System. | 2017 | 5 |
| 11 | 2023 | 4 | |
| 12 | Disclose Models, Hide the Data - How to Make Use of Confidential Corpora without Seeing Sensitive Raw Data | 2014 | 3 |
| 13 | A Proposal for a Configurable Silver Standard | 2010 | 3 |
| 14 | JULIE Lab & Med Uni Graz @ TREC 2019 Precision Medicine Track. | 2019 | 3 |
| 15 | 2018 | 1 | |
| 16 | Iterative Refinement and Quality Checking of Annotation Guidelines ― How to Deal Effectively with Semantically Sloppy Named Entity Types, such as Pathological Phenomena | 2012 | 1 |
About Erik Faessler
Erik Faessler is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems and Management, Computer Networks and Communications and Radiology, Nuclear Medicine and Imaging, having authored 16 papers that have together received 176 indexed citations. Recurring topics across this work include Biomedical Text Mining and Ontologies (10 papers), Topic Modeling (7 papers), Semantic Web and Ontologies (6 papers), Natural Language Processing Techniques (6 papers), Bioinformatics and Genomic Networks (2 papers), Scientific Computing and Data Management (2 papers), Machine Learning in Healthcare (2 papers) and Genetics, Bioinformatics, and Biomedical Research (1 paper). The work is most often cited by research in Artificial Intelligence (87 citations), Molecular Biology (152 citations), Ecological Modeling (4 citations), Cell Biology (12 citations) and Information Systems and Management (5 citations). Erik Faessler has collaborated with scholars based in Germany, Austria and Netherlands. Frequent co-authors include Udo Hahn, Ekaterina Buyko, Joachim Wermter, Sascha Schäuble, Kathrin Thedieck, Alexander Martin Heberle, Ahmed Sadik, Christine Sers, Miriam Langelaar‐Makkinje and Christiane A. Opitz. Their work appears in journals such as Language Resources and Evaluation, Journal of Proteome Research, Life Science Alliance, Nucleic Acids Research and Computational Intelligence.
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.