Andreas Eiselt
Impact in
- Safety Research top 5%
- Academic integrity and plagiarism
- Artificial Intelligence top 5%
- Topic Modeling
- Natural Language Processing Techniques
- Authorship Attribution and Profiling
- Text Readability and Simplification
- Imbalanced Data Classification Techniques
- Advanced Text Analysis Techniques
Papers in
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- Artificial Intelligence in Healthcare and Education 1
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- Academic integrity and plagiarism 2
- Co-authors
- Paolo RossoMartin PotthastBenno SteinAlberto Barrón‐CedeñoAlejandro FigueroaStefan MüllerEva K. Jermakowicz
- Journals
- International Joint Conference on Natural Language Processing (1 paper)Wiley-VCH eBooks (1 paper)
In The Last Decade
Andreas Eiselt
4 papers receiving 219 citations
Peers
Comparison fields: 5 of 27
- Safety Research 133
- Artificial Intelligence 278
- Information Systems 59
- Health Informatics 3
- Communication 15
Countries citing papers authored by Andreas Eiselt
This map shows the geographic impact of Andreas Eiselt'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 Andreas Eiselt with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andreas Eiselt more than expected).
Fields of papers citing papers by Andreas Eiselt
This network shows the impact of papers produced by Andreas Eiselt. 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 Andreas Eiselt. The network helps show where Andreas Eiselt may publish in the future.
Co-authors
The 7 scholars most cited alongside Andreas Eiselt, 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 | 2014 | 0 | |
| 2 | A Two-Step Named Entity Recognizer for Open-Domain Search Queries | 2013 | 11 |
| 3 | Overview of the 2nd International Competition on Plagiarism Detection | 2011 | 203 |
| 4 | International financial reporting standards Wörterbuch : English - Deutsch : Glossar = International financial reporting standards dictionary : Deutsch - English : glossary | 2010 | 1 |
| 5 | Overview of the 1st international competition on plagiarism detection | 2009 | 83 |
About Andreas Eiselt
Andreas Eiselt is a scholar working on Health Informatics, Safety Research, Accounting, Strategy and Management and Artificial Intelligence, having authored 5 papers that have together received 298 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (2 papers), Topic Modeling (2 papers), Academic integrity and plagiarism (2 papers), Information Retrieval and Search Behavior (1 paper), Taxation and Legal Issues (1 paper), Corporate Governance and Law (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). The work is most often cited by research in Safety Research (133 citations), Artificial Intelligence (278 citations), Information Systems (59 citations), Health Informatics (3 citations) and Communication (15 citations). Andreas Eiselt has collaborated with scholars based in Germany, Spain and Chile. Frequent co-authors include Paolo Rosso, Martin Potthast, Benno Stein, Alberto Barrón‐Cedeño, Alejandro Figueroa, Stefan Müller and Eva K. Jermakowicz. Their work appears in journals such as International Joint Conference on Natural Language Processing and Wiley-VCH eBooks.
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.