Joan Saldaña

1.6k citations
40 papers · 1.2k indexed · 1 hit paper · h-index 16
Topics
Mathematical and Theoretical Epidemiology and Ecology Models (20 papers)Complex Network Analysis Techniques (12 papers)COVID-19 epidemiological studies (11 papers)
Partner nations
SpainUnited StatesSweden

In The Last Decade

Joan Saldaña

38 papers receiving 1.1k citations

Hit Papers

Body Sizes of Animal Predators and Animal Prey in Food Webs19932026200420151993100200300400500

Peers

Joan Saldaña
Comparison fields: 5 of 111
  • Ecology 402
  • Nature and Landscape Conservation 266
  • Ecology, Evolution, Behavior and Systematics 251
  • Global and Planetary Change 239
  • Public Health, Environmental and Occupational Health 220
Replace Jonathan W. Pitchford with:
Jonathan W. Pitchford United Kingdom
Sandro Azaele Italy
Carlos A. Braumann Portugal
Shandelle M. Henson United States
Mary Lou Zeeman United States
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Richard McGehee United States
Juan E. Keymer Chile
Howard B. Wilson United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Joan Saldaña

Since Specialization
Citations

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

Fields of papers citing papers by Joan Saldaña

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Saldaña

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 7
3 15
4 6
5 14
6 2
7 11
8 23
9 4
10 5
11
Diversidad y dominancia en las comunidades de matorral de la Sierra de Béjar
0
12 32
13 11
14 35
15 28
16 18
17 1
18 13
19 16
20
A model of physiologically structured population dynamics with a nonlinear growth rate
9

About Joan Saldaña

Joan Saldaña is a scholar working on Modeling and Simulation, Statistical and Nonlinear Physics and Public Health, Environmental and Occupational Health, having authored 40 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mathematical and Theoretical Epidemiology and Ecology Models (20 papers), Complex Network Analysis Techniques (12 papers) and COVID-19 epidemiological studies (11 papers). The work is most often cited by research in Modeling and Simulation (174 citations), Nature and Landscape Conservation (266 citations) and Ecology (402 citations). Joan Saldaña has collaborated with scholars based in Spain, United States and Sweden. Frequent co-authors include Joel E. Cohen, Peter Yodzis, Stuart L. Pimm, Àngel Calsina, Ricard V. Solé, Jordi Ripoll, David Alonso, Caterina Scoglio, José M. Montoya and Santiago F. Elena. Their work appears in journals such as Scientific Reports, Journal of Animal Ecology and Oikos.

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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