Josef van Genabith
About
In The Last Decade
Josef van Genabith
231 papers receiving 2.1k citations
Peers
Comparison fields: 5 of 74
- Artificial Intelligence 2.4k
- Computer Vision and Pattern Recognition 241
- Information Systems 191
- Language and Linguistics 156
- Molecular Biology 102
Countries citing papers authored by Josef van Genabith
This map shows the geographic impact of Josef van Genabith'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 Josef van Genabith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Josef van Genabith more than expected).
Fields of papers citing papers by Josef van Genabith
This network shows the impact of papers produced by Josef van Genabith. 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 Josef van Genabith. The network helps show where Josef van Genabith may publish in the future.
Co-authorship network of co-authors of Josef van Genabith
This figure shows the co-authorship network connecting the top 25 collaborators of Josef van Genabith. A scholar is included among the top collaborators of Josef van Genabith 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 Josef van Genabith. Josef van Genabith is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 2 | |
| 8 | Mapping the industry I: Findings on translation technologies and quality assessment | 9 |
| 9 | 6 | |
| 10 | C-Structures and F-Structures for the British National Corpus | 7 |
| 11 | Using F-structures in machine translation evaluation | 1 |
| 12 | 9 | |
| 13 | GF-DOP: grammatical feature data-oriented parsing | 2 |
| 14 | Improving Online Machine Translation Systems | 6 |
| 15 | Strong Domain Variation and Treebank-Induced LFG Resources | 3 |
| 16 | Treebank-Based Multilingual Unification-Grammar Development | 12 |
| 17 | Experiments in Structure Preserving Grammar Compaction | 4 |
| 18 | 8 | |
| 19 | 2 | |
| 20 | 6 |
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.