Guido Minnen
- Artificial Intelligence top 5%
- Molecular Biology
- Language and Linguistics top 10%
- Information Systems
- Computer Vision and Pattern Recognition
- Co-authors
- Darren PearceJohn M. CarrollJohn CarrollJohn TaitFrancis BondAnn CopestakeTed BriscoeJohn A. Carroll
- Topics
- Natural Language Processing Techniques (9 papers)Speech and dialogue systems (4 papers)Logic, programming, and type systems (4 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Guido Minnen
11 papers receiving 408 citations
Peers
Comparison fields: 5 of 38
- Artificial Intelligence 470
- Molecular Biology 49
- Language and Linguistics 42
- Information Systems 31
- Computer Vision and Pattern Recognition 21
Countries citing papers authored by Guido Minnen
This map shows the geographic impact of Guido Minnen'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 Guido Minnen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Guido Minnen more than expected).
Fields of papers citing papers by Guido Minnen
This network shows the impact of papers produced by Guido Minnen. 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 Guido Minnen. The network helps show where Guido Minnen may publish in the future.
Co-authorship network of co-authors of Guido Minnen
This figure shows the co-authorship network connecting the top 25 collaborators of Guido Minnen. A scholar is included among the top collaborators of Guido Minnen 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 Guido Minnen. Guido Minnen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Efficient Processing with Constraint-Logic Grammars Using Grammar Compilation | 1 |
| 2 | 227 | |
| 3 | 67 | |
| 4 | 40 | |
| 5 | 99 | |
| 6 | 31 | |
| 7 | A computational treatment of lexical rules in HPSG as covariation in lexical entries | 10 |
| 8 | 3 | |
| 9 | 4 | |
| 10 | 3 | |
| 11 | Algorithms for generation in Lambek theorem proving | 2 |
| 12 | 2 |
About Guido Minnen
Guido Minnen is a scholar working on Human Factors and Ergonomics, Artificial Intelligence and Computational Theory and Mathematics, having authored 12 papers that have together received 489 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (9 papers), Speech and dialogue systems (4 papers) and Logic, programming, and type systems (4 papers). The work is most often cited by research in Artificial Intelligence (470 citations), Language and Linguistics (42 citations) and Human Factors and Ergonomics (5 citations). Guido Minnen has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Darren Pearce, John M. Carroll, John Carroll, John Tait, Francis Bond, Ann Copestake, Ted Briscoe, John A. Carroll, Detmar Meurers and Dale Gerdemann. Their work appears in journals such as Computational Linguistics, Natural Language Engineering and New Generation Computing.
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.