Fernando Tun‐Dzul
- Nature and Landscape Conservation top 5%
- Ecology top 10%
- Global and Planetary Change top 10%
- Environmental Engineering top 5%
- Ecological Modeling top 10%
- Co-authors
- José Luis Hernández‐StefanoniJuan Manuel DupuyFilogonio May‐PatIngrid OlmstedMiguel SantiagoJorge Omar López–MartínezRichard A. BirdseyKristofer Johnson
- Topics
- Forest ecology and management (7 papers)Remote Sensing in Agriculture (7 papers)Remote Sensing and LiDAR Applications (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaForest Ecology and ManagementRemote Sensing
- Partner nations
- MexicoUnited StatesArgentina
In The Last Decade
Fernando Tun‐Dzul
11 papers receiving 467 citations
Peers
Comparison fields: 5 of 52
- Nature and Landscape Conservation 281
- Ecology 202
- Global and Planetary Change 188
- Environmental Engineering 157
- Ecological Modeling 70
Countries citing papers authored by Fernando Tun‐Dzul
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 28 | |
| 4 | 46 | |
| 5 | 19 | |
| 6 | 45 | |
| 7 | 17 | |
| 8 | 64 | |
| 9 | 89 | |
| 10 | 74 | |
| 11 | Estructura arbórea y variabilidad temporal del NDVI en los "bajos inundables" de la Península de Yucatán, México | 8 |
| 12 | 81 |
About Fernando Tun‐Dzul
Fernando Tun‐Dzul is a scholar working on Nature and Landscape Conservation, Ecological Modeling and Environmental Engineering, having authored 12 papers that have together received 477 indexed citations. Recurring topics across this work include Forest ecology and management (7 papers), Remote Sensing in Agriculture (7 papers) and Remote Sensing and LiDAR Applications (6 papers). The work is most often cited by research in Nature and Landscape Conservation (281 citations), Ecological Modeling (70 citations) and Forestry (46 citations). Fernando Tun‐Dzul has collaborated with scholars based in Mexico, United States and Argentina. Frequent co-authors include José Luis Hernández‐Stefanoni, Juan Manuel Dupuy, Filogonio May‐Pat, Ingrid Olmsted, Miguel Santiago, Jorge Omar López–Martínez, Richard A. Birdsey, Kristofer Johnson, Alicia Peduzzi and José Luís Andrade. Their work appears in journals such as SHILAP Revista de lepidopterología, Forest Ecology and Management and Remote Sensing.
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.