Joachim Wagner
- Artificial Intelligence top 2%
- Natural Language Processing Techniques 24
- Topic Modeling 19
- Text Readability and Simplification 9
- Speech and dialogue systems 3
- Biomedical Engineering top 10%
- Advanced Sensor and Energy Harvesting Materials 9
- Dielectric materials and actuators 8
- Human-Computer Interaction top 10%
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- High voltage insulation and dielectric phenomena 5
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- Biomedical Text Mining and Ontologies 4
Joachim Wagner
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 580
- Biomedical Engineering 422
- Polymers and Plastics 82
- Human-Computer Interaction 31
- Cancer Research 85
Countries citing papers authored by Joachim Wagner
This map shows the geographic impact of Joachim Wagner'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 Joachim Wagner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joachim Wagner more than expected).
Fields of papers citing papers by Joachim Wagner
This network shows the impact of papers produced by Joachim Wagner. 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 Joachim Wagner. The network helps show where Joachim Wagner may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joachim Wagner, 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 | 2024 | 0 | |
| 2 | 2020 | 7 | |
| 3 | 2020 | 25 | |
| 4 | 2019 | 2 | |
| 5 | 2016 | 10 | |
| 6 | 2015 | 4 | |
| 7 | 2014 | 161 | |
| 8 | 2014 | 169 | |
| 9 | 2013 | 5 | |
| 10 | DCU-Symantec at the WMT 2013 Quality Estimation Shared Task | 2013 | 6 |
| 11 | 2013 | 223 | |
| 12 | 2013 | 7 | |
| 13 | DCU-Symantec Submission for the WMT 2012 Quality Estimation Task | 2012 | 15 |
| 14 | From News to Comment: Resources and Benchmarks for Parsing the Language of Web 2.0 | 2011 | 47 |
| 15 | Comparing the Use of Edited and Unedited Text in Parser Self-Training | 2011 | 5 |
| 16 | 2009 | 8 | |
| 17 | C-Structures and F-Structures for the British National Corpus | 2007 | 7 |
| 18 | A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors | 2007 | 31 |
| 19 | Using NLP Technology in CALL | 2004 | 2 |
| 20 | 1994 | 147 |
About Joachim Wagner
Joachim Wagner is a scholar working on Artificial Intelligence, Biomedical Engineering and Language and Linguistics, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (24 papers), Topic Modeling (19 papers), Text Readability and Simplification (9 papers), Advanced Sensor and Energy Harvesting Materials (9 papers), Dielectric materials and actuators (8 papers), High voltage insulation and dielectric phenomena (5 papers), Biomedical Text Mining and Ontologies (4 papers) and Speech and dialogue systems (3 papers). The work is most often cited by research in Artificial Intelligence (580 citations), Biomedical Engineering (422 citations) and Polymers and Plastics (82 citations). Joachim Wagner has collaborated with scholars based in Ireland, Germany and Netherlands. Frequent co-authors include Jennifer Foster, Amitava Das, Josef van Genabith, Jens Krause, J. Hitzbleck, Carol Portwine, David Malkin, Karen R. Rabin, Jean‐Marie Leclerc and Piyush Arora. Their work appears in journals such as Machine Translation, JNCI Journal of the National Cancer Institute, CALICO Journal, Journal of Intelligent Material Systems and Structures and Journal of Applied Physics.
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.