Laura Tateosian

20 papers and 576 indexed citations i.

About

Laura Tateosian is a scholar working on Computer Vision and Pattern Recognition, Global and Planetary Change and Signal Processing. According to data from OpenAlex, Laura Tateosian has authored 20 papers receiving a total of 576 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Computer Vision and Pattern Recognition, 5 papers in Global and Planetary Change and 4 papers in Signal Processing. Recurrent topics in Laura Tateosian’s work include Data Visualization and Analytics (7 papers), Land Use and Ecosystem Services (4 papers) and Data Management and Algorithms (4 papers). Laura Tateosian is often cited by papers focused on Data Visualization and Analytics (7 papers), Land Use and Ecosystem Services (4 papers) and Data Management and Algorithms (4 papers). Laura Tateosian collaborates with scholars based in United States, Canada and United Kingdom. Laura Tateosian's co-authors include Chelsey Walden‐Schreiner, Yu‐Fai Leung, Jean B. Ristaino, Chris Jones, David G. Schmale, Graham K. MacDonald, Karen A. Garrett, Qingshan Wei, Michael D. Martin and Cambria Finegold and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Landscape and Urban Planning.

In The Last Decade

Co-authorship network of co-authors of Laura Tateosian i

Fields of papers citing papers by Laura Tateosian

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Countries citing papers authored by Laura Tateosian

Since Specialization
Citations

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).

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.

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