Garrett Nicolai
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition
- Language and Linguistics top 10%
- Information Systems
- Cultural Studies
- Co-authors
- Grzegorz KondrakColin CherryDavid YarowskyBradley HauerArya D. McCarthyMiikka SilfverbergAaron MuellerMohammad Salameh
- Topics
- Natural Language Processing Techniques (31 papers)Topic Modeling (28 papers)Speech Recognition and Synthesis (6 papers)
- Journals
- Language Resources and Evaluation
- Partner nations
- CanadaUnited StatesAustralia
In The Last Decade
Garrett Nicolai
29 papers receiving 224 citations
Peers
Comparison fields: 5 of 28
- Artificial Intelligence 238
- Computer Vision and Pattern Recognition 46
- Language and Linguistics 26
- Information Systems 7
- Cultural Studies 7
Countries citing papers authored by Garrett Nicolai
This map shows the geographic impact of Garrett Nicolai'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 Garrett Nicolai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Garrett Nicolai more than expected).
Fields of papers citing papers by Garrett Nicolai
This network shows the impact of papers produced by Garrett Nicolai. 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 Garrett Nicolai. The network helps show where Garrett Nicolai may publish in the future.
Co-authorship network of co-authors of Garrett Nicolai
This figure shows the co-authorship network connecting the top 25 collaborators of Garrett Nicolai. A scholar is included among the top collaborators of Garrett Nicolai 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 Garrett Nicolai. Garrett Nicolai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 2 | |
| 8 | 3 | |
| 9 | Multilingual Dictionary Based Construction of Core Vocabulary. | 4 |
| 10 | An Analysis of Massively Multilingual Neural Machine Translation for Low-Resource Languages. | 11 |
| 11 | The Johns Hopkins University Bible Corpus: 1600+ Tongues for Typological Exploration | 30 |
| 12 | Fine-grained Morphosyntactic Analysis and Generation Tools for More Than One Thousand Languages. | 7 |
| 13 | JHUBC’s Submission to LT4HALA EvaLatin 2020 | 1 |
| 14 | 41 | |
| 15 | 9 | |
| 16 | 7 | |
| 17 | 18 | |
| 18 | 2 | |
| 19 | 2 | |
| 20 | Cognate and Misspelling Features for Natural Language Identification | 10 |
About Garrett Nicolai
Garrett Nicolai is a scholar working on Artificial Intelligence, Cultural Studies and Language and Linguistics, having authored 33 papers that have together received 245 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (31 papers), Topic Modeling (28 papers) and Speech Recognition and Synthesis (6 papers). The work is most often cited by research in Artificial Intelligence (238 citations), Language and Linguistics (26 citations) and Computer Vision and Pattern Recognition (46 citations). Garrett Nicolai has collaborated with scholars based in Canada, United States and Australia. Frequent co-authors include Grzegorz Kondrak, Colin Cherry, David Yarowsky, Bradley Hauer, Arya D. McCarthy, Miikka Silfverberg, Aaron Mueller, Mohammad Salameh, Lei Yao and Mans Hulden. Their work appears in journals such as Language Resources and Evaluation.
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.