Agustín Paviolo

3.9k citations
40 papers · 2.0k indexed · h-index 21

Agustín Paviolo

39 papers receiving 1.9k citations

Peers

Agustín Paviolo
Comparison fields: 5 of 78
  • Ecological Modeling 484
  • Ecology 1.7k
  • Small Animals 330
  • Nature and Landscape Conservation 334
  • Social Psychology 387
Replace Carlos De Angelo with:
Carlos De Angelo Argentina
Andreas Wilting Germany
Andrés J. Novaro Argentina
F. Murindagomo Zimbabwe
Tharmalingam Ramesh South Africa
Brian D. Gerber United States
Luiz Gustavo Rodrigues Oliveira‐Santos Brazil
Laurentius Ambu Malaysia
A. J. T. Johnsingh India
Robin Steenweg Canada
Agustín Paviolo relative to Carlos De Angelo Argentina Carlos De Angelo's profile →
Citations per field
00.5×1.5×
Carlos De Angelo · 1×
Citations per year

Countries citing papers authored by Agustín Paviolo

Since Specialization
Citations

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

Fields of papers citing papers by Agustín Paviolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Agustín Paviolo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Agustín Paviolo Line = papers co-authored together Agustín Paviolo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20241
3 202315
4 202214
5 20224
6 202214
7 20209
8 201925
9 201884
10 201825
11
The giant armadillo (priodontes maximus) in the argentine Chaco
20179
12 201649
13 201481
14
DENSIDAD DE YAGUARETÉ (Panthera onca) EN LA SELVA PARANAENSE: SU RELACIÓN CON LA DISPONIBILIDAD DE PRESAS, PRESIÓN DE CAZA Y COEXISTENCIA CON EL PUMA (Puma concolor)
20106
15 2010226
16 201011
17 2008184
18 200883
19 2008104
20 2006255

About Agustín Paviolo

Agustín Paviolo is a scholar working on Ecological Modeling, Ecology and Small Animals, having authored 40 papers that have together received 2.0k indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (37 papers), Primate Behavior and Ecology (11 papers), Animal Ecology and Behavior Studies (9 papers), Species Distribution and Climate Change (9 papers), Wildlife-Road Interactions and Conservation (8 papers), Human-Animal Interaction Studies (7 papers), Bat Biology and Ecology Studies (5 papers) and Animal Behavior and Welfare Studies (5 papers). The work is most often cited by research in Ecological Modeling (484 citations), Ecology (1.7k citations) and Small Animals (330 citations). Agustín Paviolo has collaborated with scholars based in Argentina, Brazil and United States. Frequent co-authors include Mario S. Di Bitetti, Carlos De Angelo, Yamil E. Di Blanco, Andrew J. Noss, Paula Cruz, Leonardo Maffei, Marcella J. Kelly, Rosario Arispe, Manuela González‐Suárez and Nick J. B. Isaac.

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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