Tim Fernando
Impact in
- Artificial Intelligence top 10%
- Logic, Reasoning, and Knowledge
- Natural Language Processing Techniques
- Semantic Web and Ontologies
- Logic, programming, and type systems
- Speech and dialogue systems
- Language and Linguistics top 10%
- Syntax, Semantics, Linguistic Variation
Papers in
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- Logic, Reasoning, and Knowledge 22
- Natural Language Processing Techniques 15
- Semantic Web and Ontologies 10
- Logic, programming, and type systems 7
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- Syntax, Semantics, Linguistic Variation 8
Tim Fernando
33 papers receiving 121 citations
Peers
Comparison fields: 5 of 21
- Artificial Intelligence 112
- Language and Linguistics 35
- Computational Theory and Mathematics 23
- Computer Networks and Communications 31
- Experimental and Cognitive Psychology 14
Countries citing papers authored by Tim Fernando
This map shows the geographic impact of Tim Fernando'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 Tim Fernando with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Fernando more than expected).
Fields of papers citing papers by Tim Fernando
This network shows the impact of papers produced by Tim Fernando. 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 Tim Fernando. The network helps show where Tim Fernando may publish in the future.
Co-authorship network
The 6 scholars most cited alongside Tim Fernando, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Improving String Processing for Temporal Relations | 2018 | 1 |
| 2 | Towards efficient string processing of annotated events | 2017 | 1 |
| 3 | 2015 | 1 | |
| 4 | 2015 | 1 | |
| 5 | 2015 | 0 | |
| 6 | Segmenting Temporal Intervals for Tense and Aspect | 2013 | 5 |
| 7 | Finite State Methods and Description Logics | 2013 | 1 |
| 8 | A Finite-State Temporal Ontology and Event-Intervals | 2012 | 2 |
| 9 | Finite-state Representations Embodying Temporal Relations | 2011 | 2 |
| 10 | Strings over intervals | 2011 | 1 |
| 11 | 2011 | 6 | |
| 12 | 2010 | 5 | |
| 13 | 2008 | 6 | |
| 14 | 2006 | 1 | |
| 15 | 2005 | 3 | |
| 16 | 2001 | 3 | |
| 17 | 1999 | 1 | |
| 18 | 1998 | 3 | |
| 19 | 1997 | 5 | |
| 20 | 1987 | 1 |
About Tim Fernando
Tim Fernando is a scholar working on Artificial Intelligence, Language and Linguistics, Computational Theory and Mathematics, Computer Networks and Communications and Signal Processing, having authored 37 papers that have together received 137 indexed citations. Recurring topics across this work include Logic, Reasoning, and Knowledge (22 papers), Natural Language Processing Techniques (15 papers), Semantic Web and Ontologies (10 papers), Constraint Satisfaction and Optimization (9 papers), Syntax, Semantics, Linguistic Variation (8 papers), Logic, programming, and type systems (7 papers), Advanced Database Systems and Queries (6 papers) and Advanced Algebra and Logic (6 papers). The work is most often cited by research in Artificial Intelligence (112 citations), Language and Linguistics (35 citations), Computational Theory and Mathematics (23 citations), Computer Networks and Communications (31 citations) and Experimental and Cognitive Psychology (14 citations). Tim Fernando has collaborated with scholars based in Ireland, Germany and Sweden. Frequent co-authors include Hans Kamp, David D. Woods, Jonathan Ginzburg, Daniël Leivant, Carl Vogel and Robin Cooper. Their work appears in journals such as Linguistics and Philosophy, Journal of Logic Language and Information, Journal of Semantics, Journal of Philosophical Logic and Synthese.
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.