Barbara McGillivray
- Genetics top 0.5%
- Molecular Biology top 5%
- Pediatrics, Perinatology and Child Health top 1%
- Surgery top 10%
- Plant Science top 10%
- Co-authors
- Laura G. BrownElizabeth FisherAlbert de la ChapelleElizabeth M. SimpsonDavid C. PageRebecca A. MosherJonathan R. PollackGraeme Mardon
- Topics
- Natural Language Processing Techniques (29 papers)Prenatal Screening and Diagnostics (20 papers)Genomic variations and chromosomal abnormalities (16 papers)
- Partner nations
- CanadaUnited KingdomUnited States
In The Last Decade
Barbara McGillivray
127 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 168
- Genetics 1.9k
- Molecular Biology 1.6k
- Pediatrics, Perinatology and Child Health 881
- Surgery 510
- Plant Science 316
Countries citing papers authored by Barbara McGillivray
This map shows the geographic impact of Barbara McGillivray'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 Barbara McGillivray with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara McGillivray more than expected).
Fields of papers citing papers by Barbara McGillivray
This network shows the impact of papers produced by Barbara McGillivray. 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 Barbara McGillivray. The network helps show where Barbara McGillivray may publish in the future.
Co-authorship network of co-authors of Barbara McGillivray
This figure shows the co-authorship network connecting the top 25 collaborators of Barbara McGillivray. A scholar is included among the top collaborators of Barbara McGillivray 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 Barbara McGillivray. Barbara McGillivray 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 | 2 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 2 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 10 | |
| 9 | 171 | |
| 10 | Urban Dictionary Embeddings for Slang NLP Applications | 10 |
| 11 | 55 | |
| 12 | 29 | |
| 13 | 16 | |
| 14 | 13 | |
| 15 | 43 | |
| 16 | The Index Thomisticus Treebank Project: Annotation, Parsing and Valency Lexicon | 9 |
| 17 | The Development of the ``Index Thomisticus'' Treebank Valency Lexicon | 12 |
| 18 | Unsupervised Acquisition of Verb Subcategorization Frames from Shallow-Parsed Corpora | 7 |
| 19 | 0 | |
| 20 | 35 |
About Barbara McGillivray
Barbara McGillivray is a scholar working on Computational Mathematics, Genetics and Language and Linguistics, having authored 139 papers that have together received 4.2k indexed citations. Recurring topics across this work include Natural Language Processing Techniques (29 papers), Prenatal Screening and Diagnostics (20 papers) and Genomic variations and chromosomal abnormalities (16 papers). The work is most often cited by research in Genetics (1.9k citations), Pediatrics, Perinatology and Child Health (881 citations) and Developmental Biology (62 citations). Barbara McGillivray has collaborated with scholars based in Canada, United Kingdom and United States. Frequent co-authors include Laura G. Brown, Elizabeth Fisher, Albert de la Chapelle, Elizabeth M. Simpson, David C. Page, Rebecca A. Mosher, Jonathan R. Pollack, Graeme Mardon, Dagmar K. Kalousek and Irene Barrett. Their work appears in journals such as Nature, Cell and SHILAP Revista de lepidopterología.
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.