Timothy Osborne
- Artificial Intelligence top 5%
- Language and Linguistics top 2%
- Linguistics and Language top 5%
- Computational Theory and Mathematics
- Experimental and Cognitive Psychology
- Topics
- Syntax, Semantics, Linguistic Variation (34 papers)Natural Language Processing Techniques (32 papers)Linguistic Variation and Morphology (11 papers)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Timothy Osborne
36 papers receiving 278 citations
Peers
Comparison fields: 5 of 37
- Artificial Intelligence 244
- Language and Linguistics 217
- Linguistics and Language 68
- Computational Theory and Mathematics 29
- Experimental and Cognitive Psychology 21
Countries citing papers authored by Timothy Osborne
This map shows the geographic impact of Timothy Osborne'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 Timothy Osborne with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Timothy Osborne more than expected).
Fields of papers citing papers by Timothy Osborne
This network shows the impact of papers produced by Timothy Osborne. 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 Timothy Osborne. The network helps show where Timothy Osborne may publish in the future.
Co-authorship network of co-authors of Timothy Osborne
This figure shows the co-authorship network connecting the top 25 collaborators of Timothy Osborne. A scholar is included among the top collaborators of Timothy Osborne 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 Timothy Osborne. Timothy Osborne 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 | 1 | |
| 3 | 9 | |
| 4 | 4 | |
| 5 | 28 | |
| 6 | 10 | |
| 7 | Control vs. Raising in English. A Dependency Grammar Account | 1 |
| 8 | 10 | |
| 9 | 6 | |
| 10 | A DG Account of the Descriptive and Resultative de-Constructions in Chinese | 2 |
| 11 | Type 2 Rising | 0 |
| 12 | A Look at Tesni`ere's em 'El'ements through the Lens of Modern Syntactic Theory | 1 |
| 13 | Edge features, catenae, and dependency-based minimalism | 5 |
| 14 | 8 | |
| 15 | 17 | |
| 16 | Gapping vs. non-gapping coordination | 3 |
| 17 | 13 | |
| 18 | Coherence : A dependency grammar analysis | 4 |
| 19 | 4 | |
| 20 | 0 |
About Timothy Osborne
Timothy Osborne is a scholar working on Language and Linguistics, Linguistics and Language and Artificial Intelligence, having authored 39 papers that have together received 312 indexed citations. Recurring topics across this work include Syntax, Semantics, Linguistic Variation (34 papers), Natural Language Processing Techniques (32 papers) and Linguistic Variation and Morphology (11 papers). The work is most often cited by research in Language and Linguistics (217 citations), Linguistics and Language (68 citations) and Artificial Intelligence (244 citations). Timothy Osborne has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Thomas Groß, Michael T. Putnam, Thomas Groß, Kim Gerdes, Matthew M. Reeve, Junying Liang and Kajal Lahiri. Their work appears in journals such as Lingua, Natural Language & Linguistic Theory and Empirical Economics.
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.