Silvia Díaz

826 citations
12 papers · 72 indexed · h-index 5
Topics
Evolution and Paleontology Studies (6 papers)Wildlife Ecology and Conservation (6 papers)Bat Biology and Ecology Studies (6 papers)
Partner nations
PeruBrazilChile

In The Last Decade

Silvia Díaz

9 papers receiving 67 citations

Peers

Silvia Díaz
Comparison fields: 5 of 25
  • Ecology 46
  • Ecology, Evolution, Behavior and Systematics 31
  • Paleontology 23
  • Ecological Modeling 18
  • Global and Planetary Change 13
Replace Charles E. Pekins with:
Charles E. Pekins United States
Cindy M. Hurtado Peru
Thomas M. Butynski United States
Marina Rivero Mexico
Stuart Nixon United Kingdom
Itzue W. Caviedes-Solis United States
Kristof Zyskowski United States
Marcus A.H. Chua Singapore
Caryne Braga Brazil
Atanga Ekobo Cameroon
Silvia Díaz relative to Charles E. Pekins United States Charles E. Pekins's profile →
Citations per field
00.5×4.8×
Charles E. Pekins · 1×
Citations per year

Countries citing papers authored by Silvia Díaz

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Díaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Silvia Díaz

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

All Works

12 of 12 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 1
5 18
6 4
7 4
8 3
9 26
10
Current status of ateles belzebuth in montane forests of the Peruvian Amazon
3
11 1
12 12

About Silvia Díaz

Silvia Díaz is a scholar working on Ecological Modeling, Paleontology and Ecology, Evolution, Behavior and Systematics, having authored 12 papers that have together received 72 indexed citations. Recurring topics across this work include Evolution and Paleontology Studies (6 papers), Wildlife Ecology and Conservation (6 papers) and Bat Biology and Ecology Studies (6 papers). The work is most often cited by research in Ecological Modeling (18 citations), Paleontology (23 citations) and Ecology (46 citations). Silvia Díaz has collaborated with scholars based in Peru, Brazil and Chile. Frequent co-authors include Víctor Pacheco, Víctor Pacheco, Cindy M. Hurtado, Ana Laura Lara‐Domínguez, Rolando Aquino, Mrinalini Watsa, José Luis Mena, Mónica Arakaki, Mathias W. Tobler and Guillermo D’Elía. Their work appears in journals such as Revista de Biología Tropical, Zoologia (Curitiba) and Revista Peruana de Biología.

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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