Lynne Seymour
- Computer Vision and Pattern Recognition top 5%
- Global and Planetary Change top 10%
- Plant Science
- Media Technology top 5%
- Artificial Intelligence
- Co-authors
- A. BijaouiJean‐Luc StarckFionn MurtaghRichard A. DavisPeter J. BrockwellRobert LundMarc W. van IerselKaren Kafadar
- Topics
- Climate variability and models (8 papers)Soil Geostatistics and Mapping (7 papers)Greenhouse Technology and Climate Control (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of the American Statistical AssociationPLoS ONE
- Partner nations
- United StatesUnited KingdomSouth Korea
In The Last Decade
Lynne Seymour
45 papers receiving 774 citations
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 194
- Global and Planetary Change 155
- Plant Science 93
- Media Technology 89
- Artificial Intelligence 77
Countries citing papers authored by Lynne Seymour
This map shows the geographic impact of Lynne Seymour'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 Lynne Seymour with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lynne Seymour more than expected).
Fields of papers citing papers by Lynne Seymour
This network shows the impact of papers produced by Lynne Seymour. 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 Lynne Seymour. The network helps show where Lynne Seymour may publish in the future.
Co-authorship network of co-authors of Lynne Seymour
This figure shows the co-authorship network connecting the top 25 collaborators of Lynne Seymour. A scholar is included among the top collaborators of Lynne Seymour 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 Lynne Seymour. Lynne Seymour is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 4 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 3 | |
| 7 | 9 | |
| 8 | 0 | |
| 9 | 4 | |
| 10 | 11 | |
| 11 | 9 | |
| 12 | 11 | |
| 13 | 23 | |
| 14 | 7 | |
| 15 | 2 | |
| 16 | 32 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 26 | |
| 20 | 11 |
About Lynne Seymour
Lynne Seymour is a scholar working on Statistics and Probability, Statistics, Probability and Uncertainty and Environmental Engineering, having authored 51 papers that have together received 823 indexed citations. Recurring topics across this work include Climate variability and models (8 papers), Soil Geostatistics and Mapping (7 papers) and Greenhouse Technology and Climate Control (4 papers). The work is most often cited by research in Media Technology (89 citations), Computer Vision and Pattern Recognition (194 citations) and Statistics and Probability (68 citations). Lynne Seymour has collaborated with scholars based in United States, United Kingdom and South Korea. Frequent co-authors include A. Bijaoui, Jean‐Luc Starck, Fionn Murtagh, Richard A. Davis, Peter J. Brockwell, Robert Lund, Marc W. van Iersel, Karen Kafadar, Qi Lu and H. Scherm. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of the American Statistical Association and PLoS ONE.
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.