Laura Tateosian
- Plant Science top 5%
- Computer Vision and Pattern Recognition top 10%
- Ecology
- Cell Biology
- Molecular Biology
- Co-authors
- Chelsey Walden‐SchreinerJean B. RistainoChris JonesAngela RecordsNik J. CunniffeDaniel P. BebberCambria FinegoldDavid G. Schmale
- Topics
- Data Visualization and Analytics (12 papers)Computer Graphics and Visualization Techniques (6 papers)Aesthetic Perception and Analysis (4 papers)
- Journals
- Proceedings of the National Academy of SciencesSHILAP Revista de lepidopterologíaScientific Reports
- Partner nations
- United StatesCanadaUnited Kingdom
In The Last Decade
Laura Tateosian
25 papers receiving 740 citations
Hit Papers
Peers
Comparison fields: 5 of 112
- Plant Science 370
- Computer Vision and Pattern Recognition 104
- Ecology 87
- Cell Biology 83
- Molecular Biology 74
Countries citing papers authored by Laura Tateosian
This map shows the geographic impact of Laura Tateosian'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 Laura Tateosian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laura Tateosian more than expected).
Fields of papers citing papers by Laura Tateosian
This network shows the impact of papers produced by Laura Tateosian. 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 Laura Tateosian. The network helps show where Laura Tateosian may publish in the future.
Co-authorship network of co-authors of Laura Tateosian
This figure shows the co-authorship network connecting the top 25 collaborators of Laura Tateosian. A scholar is included among the top collaborators of Laura Tateosian 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 Laura Tateosian. Laura Tateosian is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 3 | |
| 3 | 13 | |
| 4 | 31 | |
| 5 | The persistent threat of emerging plant disease pandemics to global food securitybreakdown → | 446 |
| 6 | 7 | |
| 7 | 2 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 7 | |
| 11 | 78 | |
| 12 | 0 | |
| 13 | 3 | |
| 14 | Python For ArcGIS. | 3 |
| 15 | 12 | |
| 16 | 11 | |
| 17 | 2 | |
| 18 | 4 | |
| 19 | 28 | |
| 20 | 7 |
About Laura Tateosian
Laura Tateosian is a scholar working on Computer Graphics and Computer-Aided Design, Space and Planetary Science and Ecological Modeling, having authored 30 papers that have together received 769 indexed citations. Recurring topics across this work include Data Visualization and Analytics (12 papers), Computer Graphics and Visualization Techniques (6 papers) and Aesthetic Perception and Analysis (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (45 citations), Plant Science (370 citations) and Ecological Modeling (33 citations). Laura Tateosian has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Chelsey Walden‐Schreiner, Jean B. Ristaino, Chris Jones, Angela Records, Nik J. Cunniffe, Daniel P. Bebber, Cambria Finegold, David G. Schmale, Graham K. MacDonald and Christopher A. Gilligan. Their work appears in journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and Scientific Reports.
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.