Scott Farrar
- Artificial Intelligence top 10%
- Language and Linguistics top 10%
- Information Systems
- Molecular Biology
- Linguistics and Language
- Co-authors
- William D. LewisD. Terence LangendoenJohn BatemanThora TenbrinkHéctor GonzálezGary SimonsBrian FitzsimonsHarald Lüngen
- Topics
- Natural Language Processing Techniques (14 papers)Semantic Web and Ontologies (13 papers)Speech and dialogue systems (5 papers)
- Journals
- Discourse ProcessesComputers in entertainmentLanguage documentation and conservation
- Partner nations
- United StatesGermany
In The Last Decade
Scott Farrar
16 papers receiving 149 citations
Peers
Comparison fields: 5 of 36
- Artificial Intelligence 176
- Language and Linguistics 49
- Information Systems 30
- Molecular Biology 25
- Linguistics and Language 12
Countries citing papers authored by Scott Farrar
This map shows the geographic impact of Scott Farrar'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 Scott Farrar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Scott Farrar more than expected).
Fields of papers citing papers by Scott Farrar
This network shows the impact of papers produced by Scott Farrar. 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 Scott Farrar. The network helps show where Scott Farrar may publish in the future.
Co-authorship network of co-authors of Scott Farrar
This figure shows the co-authorship network connecting the top 25 collaborators of Scott Farrar. A scholar is included among the top collaborators of Scott Farrar 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 Scott Farrar. Scott Farrar is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Distributed Representation of Misconceptions. | 1 |
| 2 | Review of TypeCraft | 1 |
| 3 | 2 | |
| 4 | Western Beboid and African language classification | 0 |
| 5 | 14 | |
| 6 | 16 | |
| 7 | LINGUISTICS IN THE INTERNET AGE: TOOLS AND FAIR USE | 6 |
| 8 | A UNIVERSAL DATA MODEL FOR LINGUISTIC ANNOTATION TOOLS | 1 |
| 9 | 0 | |
| 10 | GOLD and Discourse: Domain- and Community-Specific Extensions | 4 |
| 11 | 13 | |
| 12 | 2 | |
| 13 | 3 | |
| 14 | An ontology for linguistics on the semantic web | 5 |
| 15 | A linguistic ontology for the semantic web | 97 |
| 16 | The Arizona virtual patient: using question-answering technology to enhance dialogue processing | 3 |
| 17 | A Common Ontology for Linguistic Concepts | 16 |
| 18 | An Ontology for Linguistic Annotation | 9 |
| 19 | 1 | |
| 20 | Building a Knowledge Base of Morphosyntactic Terminology | 7 |
About Scott Farrar
Scott Farrar is a scholar working on Artificial Intelligence, Language and Linguistics and Linguistics and Language, having authored 20 papers that have together received 201 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (14 papers), Semantic Web and Ontologies (13 papers) and Speech and dialogue systems (5 papers). The work is most often cited by research in Artificial Intelligence (176 citations), Language and Linguistics (49 citations) and Linguistics and Language (12 citations). Scott Farrar has collaborated with scholars based in United States and Germany. Frequent co-authors include William D. Lewis, D. Terence Langendoen, John Bateman, Thora Tenbrink, Héctor González, Gary Simons, Brian Fitzsimons, Harald Lüngen, Andreas Witt and Steven Moran. Their work appears in journals such as Discourse Processes, Computers in entertainment and Language documentation and conservation.
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.