Fernando Tun‐Dzul

15 total papers · 648 total citations
12 papers, 472 citations indexed

About

Fernando Tun‐Dzul is a scholar working on Nature and Landscape Conservation, Ecology and Environmental Engineering. According to data from OpenAlex, Fernando Tun‐Dzul has authored 12 papers receiving a total of 472 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Nature and Landscape Conservation, 9 papers in Ecology and 6 papers in Environmental Engineering. Recurrent topics in Fernando Tun‐Dzul's work include Forest ecology and management (7 papers), Remote Sensing in Agriculture (7 papers) and Remote Sensing and LiDAR Applications (6 papers). Fernando Tun‐Dzul is often cited by papers focused on Forest ecology and management (7 papers), Remote Sensing in Agriculture (7 papers) and Remote Sensing and LiDAR Applications (6 papers). Fernando Tun‐Dzul collaborates with scholars based in Mexico, United States and Canada. Fernando Tun‐Dzul's co-authors include José Luis Hernández‐Stefanoni, Juan Manuel Dupuy, Filogonio May‐Pat, Ingrid Olmsted, Miguel Santiago, Jorge Omar López–Martínez, Kristofer Johnson, Richard A. Birdsey, Alicia Peduzzi and José Luís Andrade and has published in prestigious journals such as SHILAP Revista de lepidopterología, Forest Ecology and Management and Remote Sensing.

In The Last Decade

Fernando Tun‐Dzul

11 papers receiving 462 citations

Author Peers

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

Author Last Decade Papers Cites
Fernando Tun‐Dzul 279 200 184 157 69 12 472
C.A. Portillo-Quintero 205 0.7× 202 1.0× 228 1.2× 52 0.3× 117 1.7× 7 523
Jiehua Yu 328 1.2× 112 0.6× 242 1.3× 40 0.3× 54 0.8× 19 470
Miguel E. Leal 169 0.6× 165 0.8× 110 0.6× 145 0.9× 36 0.5× 17 461
Colin Edwards 263 0.9× 144 0.7× 212 1.2× 71 0.5× 50 0.7× 19 442
Kim Whitford 264 0.9× 202 1.0× 207 1.1× 44 0.3× 45 0.7× 14 440
Somboon Kiratiprayoon 353 1.3× 114 0.6× 162 0.9× 64 0.4× 110 1.6× 10 467
Fabio Francesconi 176 0.6× 122 0.6× 191 1.0× 59 0.4× 136 2.0× 18 509
Shin-ichi Tanabe 252 0.9× 133 0.7× 170 0.9× 79 0.5× 49 0.7× 9 410
Kuoh‐Cheng Yang 210 0.8× 179 0.9× 143 0.8× 37 0.2× 69 1.0× 17 433
Débora Vanessa Lingner 233 0.8× 84 0.4× 140 0.8× 43 0.3× 55 0.8× 23 422

Countries citing papers authored by Fernando Tun‐Dzul

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Tun‐Dzul

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fernando Tun‐Dzul. 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 Fernando Tun‐Dzul. The network helps show where Fernando Tun‐Dzul may publish in the future.

Co-authorship network of co-authors of Fernando Tun‐Dzul

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Tun‐Dzul. A scholar is included among the top collaborators of Fernando Tun‐Dzul 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 Fernando Tun‐Dzul. Fernando Tun‐Dzul 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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