Raul Tupayachi

23 total papers · 2.2k total citations
15 papers, 1.3k citations indexed

About

Raul Tupayachi is a scholar working on Ecology, Ecological Modeling and Global and Planetary Change. According to data from OpenAlex, Raul Tupayachi has authored 15 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 8 papers in Ecological Modeling and 7 papers in Global and Planetary Change. Recurrent topics in Raul Tupayachi's work include Remote Sensing in Agriculture (9 papers), Species Distribution and Climate Change (8 papers) and Ecology and Vegetation Dynamics Studies (5 papers). Raul Tupayachi is often cited by papers focused on Remote Sensing in Agriculture (9 papers), Species Distribution and Climate Change (8 papers) and Ecology and Vegetation Dynamics Studies (5 papers). Raul Tupayachi collaborates with scholars based in United States, Peru and United Kingdom. Raul Tupayachi's co-authors include Gregory P. Asner, Felipe Sinca, Roberta E. Martin, William Llactayo, Paola Martinez, Christopher B. Anderson, David Knapp, Christopher B. Anderson, George V. N. Powell and Yadvinder Malhi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, PLoS ONE and Remote Sensing of Environment.

In The Last Decade

Raul Tupayachi

15 papers receiving 1.3k citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Raul Tupayachi 675 492 473 270 262 15 1.3k
Clayton C. Kingdon 904 1.3× 512 1.0× 250 0.5× 238 0.9× 247 0.9× 13 1.3k
Laurie Chisholm 750 1.1× 631 1.3× 343 0.7× 339 1.3× 306 1.2× 40 1.5k
Dennis C. Duro 946 1.4× 609 1.2× 250 0.5× 212 0.8× 407 1.6× 11 1.7k
Erwin Ulrich 356 0.5× 478 1.0× 406 0.9× 133 0.5× 115 0.4× 26 1.3k
Brenden E. McNeil 954 1.4× 651 1.3× 313 0.7× 216 0.8× 338 1.3× 38 1.6k
Felipe Sinca 687 1.0× 604 1.2× 497 1.1× 292 1.1× 279 1.1× 13 1.3k
Kate S. He 1.2k 1.8× 622 1.3× 537 1.1× 874 3.2× 306 1.2× 30 1.8k
Florian de Boissieu 711 1.1× 410 0.8× 454 1.0× 244 0.9× 616 2.4× 18 1.3k
Ruben Van De Kerchove 892 1.3× 512 1.0× 193 0.4× 224 0.8× 430 1.6× 41 1.3k
Andrés Hernández-Serna 938 1.4× 824 1.7× 363 0.8× 153 0.6× 619 2.4× 19 1.8k

Countries citing papers authored by Raul Tupayachi

Since Specialization
Citations

This map shows the geographic impact of Raul Tupayachi'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 Raul Tupayachi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raul Tupayachi more than expected).

Fields of papers citing papers by Raul Tupayachi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Raul Tupayachi. 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 Raul Tupayachi. The network helps show where Raul Tupayachi may publish in the future.

Co-authorship network of co-authors of Raul Tupayachi

This figure shows the co-authorship network connecting the top 25 collaborators of Raul Tupayachi. A scholar is included among the top collaborators of Raul Tupayachi 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 Raul Tupayachi. Raul Tupayachi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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