Joachim Wagner
- Artificial Intelligence top 2%
- Biomedical Engineering top 10%
- Materials Chemistry
- Mechanical Engineering
- Cancer Research
- Co-authors
- Jennifer FosterAmitava DasJosef van GenabithJens KrauseJ. HitzbleckCarol PortwineDavid MalkinKaren R. Rabin
- Topics
- Natural Language Processing Techniques (24 papers)Topic Modeling (19 papers)Text Readability and Simplification (9 papers)
- Journals
- Angewandte Chemie International EditionJournal of Applied PhysicsJNCI Journal of the National Cancer Institute
- Partner nations
- IrelandGermanyNetherlands
In The Last Decade
Joachim Wagner
39 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 94
- Artificial Intelligence 580
- Biomedical Engineering 422
- Materials Chemistry 202
- Mechanical Engineering 109
- 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 of co-authors of Joachim Wagner
This figure shows the co-authorship network connecting the top 25 collaborators of Joachim Wagner. A scholar is included among the top collaborators of Joachim Wagner 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 Joachim Wagner. Joachim Wagner is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 25 | |
| 4 | 2 | |
| 5 | 10 | |
| 6 | 4 | |
| 7 | 161 | |
| 8 | 169 | |
| 9 | 5 | |
| 10 | DCU-Symantec at the WMT 2013 Quality Estimation Shared Task | 6 |
| 11 | 223 | |
| 12 | 7 | |
| 13 | DCU-Symantec Submission for the WMT 2012 Quality Estimation Task | 15 |
| 14 | From News to Comment: Resources and Benchmarks for Parsing the Language of Web 2.0 | 47 |
| 15 | Comparing the Use of Edited and Unedited Text in Parser Self-Training | 5 |
| 16 | 8 | |
| 17 | C-Structures and F-Structures for the British National Corpus | 7 |
| 18 | A Comparative Evaluation of Deep and Shallow Approaches to the Automatic Detection of Common Grammatical Errors | 31 |
| 19 | Using NLP Technology in CALL | 2 |
| 20 | 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) and Text Readability and Simplification (9 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 Angewandte Chemie International Edition, Journal of Applied Physics and JNCI Journal of the National Cancer Institute.
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.