Johan Hall
Impact in
- Artificial Intelligence top 0.5%
- Natural Language Processing Techniques
- Topic Modeling
- Text Readability and Simplification
- Speech and dialogue systems
- Semantic Web and Ontologies
- Algorithms and Data Compression
- Language and Linguistics top 5%
Papers in
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- Natural Language Processing Techniques 21
- Topic Modeling 17
- Algorithms and Data Compression 3
- Text Readability and Simplification 3
- Authorship Attribution and Profiling 2
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- Handwritten Text Recognition Techniques 5
- Image Processing and 3D Reconstruction 5
- Co-authors
- Joakim Nivre (22 shared papers)Jens Nilsson (18 shared papers)Sandra Kübler (2 shared papers)Gülşen Eryiğit (2 shared papers)Svetoslav Marinov (2 shared papers)Atanas Chanev (1 shared paper)Erwin Marsi (1 shared paper)Ryan McDonald (1 shared paper)
In The Last Decade
Johan Hall
27 papers receiving 2.0k citations
Johan Hall's Hit Papers
Peers
Comparison fields: 5 of 67
- Artificial Intelligence 2.1k
- Language and Linguistics 141
- Computer Vision and Pattern Recognition 207
- Information Systems 181
- Media Technology 55
Countries citing papers authored by Johan Hall
This map shows the geographic impact of Johan Hall'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 Johan Hall with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Hall more than expected).
Fields of papers citing papers by Johan Hall
This network shows the impact of papers produced by Johan Hall. 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 Johan Hall. The network helps show where Johan Hall may publish in the future.
Co-authors
The 25 scholars most cited alongside Johan Hall, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | MaltParser: A language-independent system for data-driven dependency parsing Hit paper breakdown → | 2007 | 605 |
| 2 | The CoNLL 2007 Shared Task on Dependency Parsing Hit paper breakdown → | 2007 | 507 |
| 3 | 2006 | 352 | |
| 4 | Memory-Based Dependency Parsing | 2004 | 156 |
| 5 | 2006 | 153 | |
| 6 | 2006 | 85 | |
| 7 | 2010 | 64 | |
| 8 | 2020 | 58 | |
| 9 | MAMBA Meets TIGER: Reconstructing a Swedish Treebank from Antiquity | 2005 | 55 |
| 10 | 2019 | 52 | |
| 11 | 2006 | 29 | |
| 12 | 2008 | 26 | |
| 13 | 2006 | 24 | |
| 14 | Single Malt or Blended? A Study in Multilingual Parser Optimization. | 2010 | 23 |
| 15 | 2008 | 19 | |
| 16 | Generalizing Tree Transformations for Inductive Dependency Parsing | 2007 | 16 |
| 17 | 2010 | 14 | |
| 18 | MaltParser at the EVALITA 2009 Dependency Parsing Task | 2009 | 13 |
| 19 | 2022 | 12 | |
| 20 | 2021 | 11 |
About Johan Hall
Johan Hall is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Software and Statistics and Probability, having authored 28 papers that have together received 2.3k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (21 papers), Topic Modeling (17 papers), Handwritten Text Recognition Techniques (5 papers), Image Processing and 3D Reconstruction (5 papers), Software Engineering Research (4 papers), Algorithms and Data Compression (3 papers), Text Readability and Simplification (3 papers) and Authorship Attribution and Profiling (2 papers). The work is most often cited by research in Artificial Intelligence (2.1k citations), Language and Linguistics (141 citations), Computer Vision and Pattern Recognition (207 citations), Information Systems (181 citations) and Media Technology (55 citations). Johan Hall has collaborated with scholars based in Sweden, Türkiye and Italy. Frequent co-authors include Joakim Nivre, Jens Nilsson, Sandra Kübler, Gülşen Eryiğit, Svetoslav Marinov, Atanas Chanev, Erwin Marsi, Ryan McDonald, Sebastian Riedel and Deniz Yüret. Their work appears in journals such as Language Resources and Evaluation, Neural Computing and Applications, Big Data Research, Physics in Medicine and Biology and IEEE Access.
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.