Joan Saldaña

1.6k total citations · 1 hit paper
40 papers, 1.2k citations indexed

About

Joan Saldaña is a scholar working on Public Health, Environmental and Occupational Health, Modeling and Simulation and Statistical and Nonlinear Physics. According to data from OpenAlex, Joan Saldaña has authored 40 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Public Health, Environmental and Occupational Health, 16 papers in Modeling and Simulation and 12 papers in Statistical and Nonlinear Physics. Recurrent topics in Joan Saldaña's work include Mathematical and Theoretical Epidemiology and Ecology Models (20 papers), Complex Network Analysis Techniques (12 papers) and COVID-19 epidemiological studies (11 papers). Joan Saldaña is often cited by papers focused on Mathematical and Theoretical Epidemiology and Ecology Models (20 papers), Complex Network Analysis Techniques (12 papers) and COVID-19 epidemiological studies (11 papers). Joan Saldaña collaborates with scholars based in Spain, United States and Sweden. Joan Saldaña's co-authors include Joel E. Cohen, Stuart L. Pimm, Peter Yodzis, Àngel Calsina, Ricard V. Solé, Jordi Ripoll, David Alonso, Caterina Scoglio, José M. Montoya and Santiago F. Elena and has published in prestigious journals such as Scientific Reports, Journal of Animal Ecology and Oikos.

In The Last Decade

Joan Saldaña

38 papers receiving 1.1k citations

Hit Papers

Body Sizes of Animal Predators and Animal Prey in Food Webs 1993 2026 2004 2015 1993 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joan Saldaña Spain 16 402 266 251 239 220 40 1.2k
Sandro Azaele Italy 18 298 0.7× 257 1.0× 152 0.6× 256 1.1× 116 0.5× 44 996
Benjamin D. Dalziel United States 17 533 1.3× 163 0.6× 242 1.0× 239 1.0× 139 0.6× 23 1.4k
John E. Banks United States 23 493 1.2× 450 1.7× 560 2.2× 258 1.1× 358 1.6× 76 2.8k
Shandelle M. Henson United States 22 553 1.4× 375 1.4× 400 1.6× 346 1.4× 702 3.2× 75 1.8k
Jonathan W. Pitchford United Kingdom 27 745 1.9× 485 1.8× 613 2.4× 503 2.1× 348 1.6× 60 2.8k
Juan E. Keymer Chile 21 684 1.7× 405 1.5× 282 1.1× 311 1.3× 84 0.4× 37 2.2k
Mary Lou Zeeman United States 16 233 0.6× 125 0.5× 114 0.5× 391 1.6× 631 2.9× 28 1.4k
Manojit Roy India 19 215 0.5× 198 0.7× 105 0.4× 239 1.0× 265 1.2× 40 960
Karen C. Abbott United States 22 675 1.7× 500 1.9× 507 2.0× 747 3.1× 267 1.2× 61 1.8k
Richard McGehee United States 16 345 0.9× 292 1.1× 325 1.3× 203 0.8× 468 2.1× 26 2.1k

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
1.
Pueyo‐Ros, Josep, Marc Comas‐Cufí, Joan Saldaña, et al.. (2024). Watching the guards: A data-driven method to trigger warnings in national wastewater surveillance networks. Journal of Water and Health. 22(7). 1209–1221. 1 indexed citations
2.
Saldaña, Joan & Caterina Scoglio. (2022). Influence of heterogeneous age-group contact patterns on critical vaccination rates for herd immunity to SARS-CoV-2. Scientific Reports. 12(1). 2640–2640. 7 indexed citations
3.
Saldaña, Joan, et al.. (2020). A multilayer temporal network model for STD spreading accounting for permanent and casual partners. Scientific Reports. 10(1). 3846–3846. 15 indexed citations
5.
Britton, Tom, et al.. (2016). A Network Epidemic Model with Preventive Rewiring: Comparative Analysis of the Initial Phase. Bulletin of Mathematical Biology. 78(12). 2427–2454. 14 indexed citations
6.
Ripoll, Jordi, et al.. (2015). Impact of density-dependent migration flows on epidemic outbreaks in heterogeneous metapopulations. Physical Review E. 92(2). 22809–22809. 2 indexed citations
7.
Saldaña, Joan, et al.. (2014). On the early epidemic dynamics for pairwise models. Journal of Theoretical Biology. 352. 71–81. 11 indexed citations
8.
Kiss, István Z., et al.. (2014). Analysis of an epidemic model with awareness decay on regular random networks. Journal of Theoretical Biology. 365. 457–468. 23 indexed citations
9.
Saldaña, Joan, et al.. (2011). Uncorrelatedness in growing networks with preferential survival of nodes. Physical Review E. 83(1). 16110–16110. 5 indexed citations
10.
Saldaña, Joan. (2010). Modelling the Spread of Infectious Diseases in Complex Metapopulations. Mathematical Modelling of Natural Phenomena. 5(6). 22–37. 6 indexed citations
11.
Saldaña, Joan, et al.. (2010). Navigation in large subway networks: An informational approach. Physica A Statistical Mechanics and its Applications. 390(2). 374–386. 15 indexed citations
12.
Solé, Ricard V., Joan Saldaña, José M. Montoya, & Douglas H. Erwin. (2010). Simple model of recovery dynamics after mass extinction. Journal of Theoretical Biology. 267(2). 193–200. 36 indexed citations
13.
Castillo, José A. García del, et al.. (2009). Diversidad y dominancia en las comunidades de matorral de la Sierra de Béjar. Studia Botanica. 8(8). 35–49.
14.
Saldaña, Joan, et al.. (2008). Effects of heterogeneous interaction strengths on food web complexity. Oikos. 117(3). 336–343. 11 indexed citations
15.
Solé, Ricard V., Carlos Rodríguez‐Caso, Thomas S. Deisboeck, & Joan Saldaña. (2008). Cancer stem cells as the engine of unstable tumor progression. Journal of Theoretical Biology. 253(4). 629–637. 28 indexed citations
16.
Saldaña, Joan, et al.. (2007). Food-web complexity emerging from ecological dynamics on adaptive networks. Journal of Theoretical Biology. 247(4). 819–826. 18 indexed citations
17.
Saldaña, Joan, et al.. (2006). Asymptotic behavior of connecting-nearest-neighbor models for growing networks. Physica D Nonlinear Phenomena. 214(2). 132–143. 1 indexed citations
18.
Ripoll, Jordi, Joan Saldaña, & Juan Carlos Señar. (2004). Evolutionarily stable transition rates in a stage-structured model. An application to the analysis of size distributions of badges of social status. Mathematical Biosciences. 190(2). 145–181. 13 indexed citations
19.
Saldaña, Joan, Santiago F. Elena, & Ricard V. Solé. (2003). Coinfection and superinfection in RNA virus populations: a selection–mutation model. Mathematical Biosciences. 183(2). 135–160. 28 indexed citations
20.
Calsina, Àngel & Joan Saldaña. (1995). A model of physiologically structured population dynamics with a nonlinear growth rate. Journal of Mathematical Biology. 335–364. 9 indexed citations

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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