Richard Johansson
About
In The Last Decade
Richard Johansson
76 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 80
- Artificial Intelligence 1.6k
- Molecular Biology 144
- Information Systems 125
- Computer Vision and Pattern Recognition 107
- Language and Linguistics 56
Countries citing papers authored by Richard Johansson
This map shows the geographic impact of Richard Johansson'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 Richard Johansson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Richard Johansson more than expected).
Fields of papers citing papers by Richard Johansson
This network shows the impact of papers produced by Richard Johansson. 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 Richard Johansson. The network helps show where Richard Johansson may publish in the future.
Co-authorship network of co-authors of Richard Johansson
This figure shows the co-authorship network connecting the top 25 collaborators of Richard Johansson. A scholar is included among the top collaborators of Richard Johansson 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 Richard Johansson. Richard Johansson 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 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | Training a Swedish Constituency Parser on Six Incompatible Treebanks. | 2 |
| 6 | Automatically Linking Lexical Resources with Word Sense Embedding Models | 3 |
| 7 | Retrieving Occurrences of Grammatical Constructions. | 3 |
| 8 | Automatic Detection of Arabicized Berber and Arabic Varieties | 11 |
| 9 | A Multi-domain Corpus of Swedish Word Sense Annotation | 3 |
| 10 | Gulf Arabic Linguistic Resource Building for Sentiment Analysis | 3 |
| 11 | ASIREM Participation at the Discriminating Similar Languages Shared Task 2016 | 4 |
| 12 | A Simple and Efficient Method to Generate Word Sense Representations | 5 |
| 13 | Transferring Frames: Utilization of Linked Lexical Resources | 2 |
| 14 | Non-atomic Classification to Improve a Semantic Role Labeler for a Low-resource Language | 3 |
| 15 | Improving the Recall of a Discourse Parser by Constraint-based Postprocessing | 4 |
| 16 | Shallow Discourse Parsing with Conditional Random Fields | 37 |
| 17 | Syntactic and Semantic Structure for Opinion Expression Detection | 39 |
| 18 | A Flexible Representation of Heterogeneous Annotation Data. | 1 |
| 19 | A Machine Learning Approach to Extract Temporal Information from Texts in Swedish and Generate Animated 3D Scenes | 8 |
| 20 | Using parallel corpora for automatic transfer of FrameNet annotation | 5 |
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.