Tim Buckwalter
- Artificial Intelligence top 10%
- Language and Linguistics top 10%
- Developmental and Educational Psychology
- Computer Vision and Pattern Recognition
- Information Systems
- Co-authors
- Kais DukesMohamed MaamouriDilworth Y. ParkinsonOwen RambowMona DiabAnn BiesNizar HabashHubert Jin
- Topics
- Natural Language Processing Techniques (7 papers)Historical and Linguistic Studies (3 papers)Language, Linguistics, Cultural Analysis (3 papers)
- Journals
- Modern Language JournalLanguage Resources and EvaluationACM Transactions on Asian Language Information Processing
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Tim Buckwalter
10 papers receiving 198 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 192
- Language and Linguistics 48
- Developmental and Educational Psychology 32
- Computer Vision and Pattern Recognition 23
- Information Systems 17
Countries citing papers authored by Tim Buckwalter
This map shows the geographic impact of Tim Buckwalter'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 Buckwalter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Buckwalter more than expected).
Fields of papers citing papers by Tim Buckwalter
This network shows the impact of papers produced by Tim Buckwalter. 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 Buckwalter. The network helps show where Tim Buckwalter may publish in the future.
Co-authorship network of co-authors of Tim Buckwalter
This figure shows the co-authorship network connecting the top 25 collaborators of Tim Buckwalter. A scholar is included among the top collaborators of Tim Buckwalter 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 Tim Buckwalter. Tim Buckwalter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 1 | |
| 3 | 12 | |
| 4 | 9 | |
| 5 | Error Correction for Arabic Dictionary Lookup | 4 |
| 6 | A Frequency Dictionary of Arabic: Core Vocabulary for Learners | 39 |
| 7 | A Dependency Treebank of the Quran using traditional Arabic grammar | 43 |
| 8 | Lexicon Development for Varieties of Spoken Colloquial Arabic. | 10 |
| 9 | Developing and Using a Pilot Dialectal Arabic Treebank. | 34 |
| 10 | 60 |
About Tim Buckwalter
Tim Buckwalter is a scholar working on Language and Linguistics, Artificial Intelligence and Computational Theory and Mathematics, having authored 10 papers that have together received 229 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (7 papers), Historical and Linguistic Studies (3 papers) and Language, Linguistics, Cultural Analysis (3 papers). The work is most often cited by research in Artificial Intelligence (192 citations), Language and Linguistics (48 citations) and Developmental and Educational Psychology (32 citations). Tim Buckwalter has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Kais Dukes, Mohamed Maamouri, Dilworth Y. Parkinson, Owen Rambow, Mona Diab, Ann Bies, Nizar Habash, Hubert Jin, Noah H. Silbert and Ewa Golonka. Their work appears in journals such as Modern Language Journal, Language Resources and Evaluation and ACM Transactions on Asian Language Information Processing.
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.