Joaquín Martínez‐Minaya

845 total citations · 1 hit paper
26 papers, 528 citations indexed

About

Joaquín Martínez‐Minaya is a scholar working on Plant Science, Cell Biology and Global and Planetary Change. According to data from OpenAlex, Joaquín Martínez‐Minaya has authored 26 papers receiving a total of 528 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Plant Science, 6 papers in Cell Biology and 6 papers in Global and Planetary Change. Recurrent topics in Joaquín Martínez‐Minaya's work include Plant Pathogens and Fungal Diseases (6 papers), Species Distribution and Climate Change (5 papers) and Wildlife Ecology and Conservation (4 papers). Joaquín Martínez‐Minaya is often cited by papers focused on Plant Pathogens and Fungal Diseases (6 papers), Species Distribution and Climate Change (5 papers) and Wildlife Ecology and Conservation (4 papers). Joaquín Martínez‐Minaya collaborates with scholars based in Spain, United Kingdom and Italy. Joaquín Martínez‐Minaya's co-authors include David Conesa, María Grazia Pennino, Michela Cameletti, Elsa Gallez, Nick Martin, Margarita Triguero‐Mas, Carmen Pérez del Pulgar, Isabelle Anguelovski, Melissa García‐Lamarca and Galia Shokry and has published in prestigious journals such as Nature Communications, PLoS ONE and The Science of The Total Environment.

In The Last Decade

Joaquín Martínez‐Minaya

24 papers receiving 515 citations

Hit Papers

Green gentrification in European and North American cities 2022 2026 2023 2024 2022 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Green gentrification in European and North American cities
    2022 211 citations Isabelle Anguelovski, James J. Connolly et al. Nature Communications profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joaquín Martínez‐Minaya Spain 10 183 177 129 80 68 26 528
Ingrida Šaulienė Lithuania 14 342 1.9× 746 4.2× 344 2.7× 58 0.7× 101 1.5× 43 1.4k
J. Amy Belaire United States 10 295 1.6× 283 1.6× 67 0.5× 195 2.4× 56 0.8× 14 581
Margaret J. Grose Australia 11 150 0.8× 164 0.9× 131 1.0× 27 0.3× 7 0.1× 33 363
Mark Ballantyne Australia 10 91 0.5× 90 0.5× 62 0.5× 141 1.8× 53 0.8× 10 439
Marit L. Wilkerson United States 10 306 1.7× 165 0.9× 86 0.7× 162 2.0× 55 0.8× 10 592
Wanmo Kang South Korea 12 256 1.4× 148 0.8× 43 0.3× 212 2.6× 55 0.8× 37 469
Hyuksoo Kwon South Korea 11 154 0.8× 70 0.4× 39 0.3× 147 1.8× 84 1.2× 33 344
Tobias Lung Germany 10 210 1.1× 38 0.2× 18 0.1× 81 1.0× 40 0.6× 14 500
Solène Guenat United Kingdom 8 241 1.3× 249 1.4× 168 1.3× 31 0.4× 10 0.1× 12 424
Janet Silbernagel United States 14 297 1.6× 76 0.4× 84 0.7× 164 2.0× 32 0.5× 31 569

Countries citing papers authored by Joaquín Martínez‐Minaya

Since Specialization
Citations

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

Fields of papers citing papers by Joaquín Martínez‐Minaya

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joaquín Martínez‐Minaya. 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 Joaquín Martínez‐Minaya. The network helps show where Joaquín Martínez‐Minaya may publish in the future.

Co-authorship network of co-authors of Joaquín Martínez‐Minaya

This figure shows the co-authorship network connecting the top 25 collaborators of Joaquín Martínez‐Minaya. A scholar is included among the top collaborators of Joaquín Martínez‐Minaya 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 Joaquín Martínez‐Minaya. Joaquín Martínez‐Minaya 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.
Martínez‐Minaya, Joaquín & Håvard Rue. (2024). A flexible Bayesian tool for CoDa mixed models: logistic-normal distribution with Dirichlet covariance. Statistics and Computing. 34(3). 4 indexed citations
2.
Barber, Xavier, David Conesa, Antonio López‐Quílez, et al.. (2024). Bayesian feedback in the framework of ecological sciences. Ecological Informatics. 84. 102858–102858. 5 indexed citations
3.
Anguelovski, Isabelle, Emilia Oscilowicz, James J. Connolly, et al.. (2024). Does greening generate exclusive residential real estate development? Contrasting experiences from North America and Europe. Urban forestry & urban greening. 101. 128376–128376. 3 indexed citations
4.
García-García, Fernando, Dae‐Jin Lee, Joaquín Martínez‐Minaya, et al.. (2023). Extracting relevant predictive variables for COVID-19 severity prognosis: An exhaustive comparison of feature selection techniques. PLoS ONE. 18(4). e0284150–e0284150. 7 indexed citations
5.
García-García, Fernando, Dae‐Jin Lee, Isabel Urrutia, et al.. (2023). Impact of outdoor air pollution on severity and mortality in COVID-19 pneumonia. The Science of The Total Environment. 894. 164877–164877. 20 indexed citations
6.
Sarzo, Blanca, Joaquín Martínez‐Minaya, María Grazia Pennino, David Conesa, & Marta Coll. (2023). Modelling seabirds biodiversity through Bayesian Spatial Beta regression models: A proxy to inform marine protected areas in the Mediterranean Sea. Marine Environmental Research. 185. 105860–105860. 2 indexed citations
7.
Anguelovski, Isabelle, James J. Connolly, Helen Cole, et al.. (2022). Green gentrification in European and North American cities. Nature Communications. 13(1). 3816–3816. 211 indexed citations breakdown →
8.
Martínez‐Minaya, Joaquín, Finn Lindgren, Antonio López‐Quílez, Daniel Simpson, & David Conesa. (2022). The Integrated Nested Laplace Approximation for Fitting Dirichlet Regression Models. Journal of Computational and Graphical Statistics. 32(3). 805–823. 3 indexed citations
9.
Pennino, María Grazia, et al.. (2022). A mesoscale analysis of relations between fish species richness and environmental and anthropogenic pressures in the Mediterranean Sea. Marine Environmental Research. 180. 105702–105702. 7 indexed citations
10.
Triguero‐Mas, Margarita, Isabelle Anguelovski, James J. Connolly, et al.. (2022). Exploring green gentrification in 28 global North cities: the role of urban parks and other types of greenspaces. Environmental Research Letters. 17(10). 104035–104035. 42 indexed citations
11.
Barber, Xavier, David Conesa, Antonio López‐Quílez, et al.. (2021). Incorporating Biotic Information in Species Distribution Models: A Coregionalized Approach. Mathematics. 9(4). 417–417. 7 indexed citations
12.
Martínez‐Minaya, Joaquín, et al.. (2020). Modeling Inoculum Availability of Plurivorosphaerella nawae in Persimmon Leaf Litter with Bayesian Beta Regression. Phytopathology. 111(7). 1184–1192. 3 indexed citations
13.
Martínez‐Minaya, Joaquín, Amparo González Ferrer, María Saponari, et al.. (2020). Spatial Bayesian Modeling Applied to the Surveys of Xylella fastidiosa in Alicante (Spain) and Apulia (Italy). Frontiers in Plant Science. 11. 1204–1204. 13 indexed citations
14.
Castilla, Alfredo Romero, Belén Méndez‐Vigo, Arnald Marcer, et al.. (2020). Ecological, genetic and evolutionary drivers of regional genetic differentiation in Arabidopsis thaliana. BMC Evolutionary Biology. 20(1). 71–71. 24 indexed citations
15.
Eduardo, Iban, et al.. (2020). A Decision Support System Based on Degree-Days to Initiate Fungicide Spray Programs for Peach Powdery Mildew in Catalonia, Spain. Plant Disease. 104(9). 2418–2425. 8 indexed citations
16.
17.
Martínez‐Minaya, Joaquín, David Conesa, Antonio López‐Quílez, & Antonio Vicent Civera. (2018). Spatial and climatic factors associated with the geographical distribution of citrus black spot disease in South Africa. A Bayesian latent Gaussian model approach. European Journal of Plant Pathology. 151(4). 991–1007. 9 indexed citations
18.
Martínez‐Minaya, Joaquín, David Conesa, Antonio López‐Quílez, & Antonio Vicent Civera. (2017). Response to the letter on “Climatic distribution of citrus black spot caused by Phyllosticta citricarpa. A historical analysis of disease spread in South Africa” by Fourie et al. (2017). European Journal of Plant Pathology. 148(3). 503–508.
19.
Martínez‐Minaya, Joaquín, David Conesa, Antonio López‐Quílez, María Saponari, & Antonio Vicent Civera. (2017). Insights Into The Spatio-Temporal Spread Of Xylella Fastidiosa In South-Eastern Italy. Redivia (Instituto Valenciano de Investigaciones Agrarias (IVIA)). 2 indexed citations
20.
Martínez‐Minaya, Joaquín, David Conesa, Antonio López‐Quílez, & Antonio Vicent Civera. (2015). Climatic distribution of citrus black spot caused by Phyllosticta citricarpa. A historical analysis of disease spread in South Africa. European Journal of Plant Pathology. 143(1). 69–83. 20 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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