Antonio Picornell

855 total citations
27 papers, 478 citations indexed

About

Antonio Picornell is a scholar working on Immunology and Allergy, Ecology, Evolution, Behavior and Systematics and Plant Science. According to data from OpenAlex, Antonio Picornell has authored 27 papers receiving a total of 478 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Immunology and Allergy, 13 papers in Ecology, Evolution, Behavior and Systematics and 8 papers in Plant Science. Recurrent topics in Antonio Picornell's work include Allergic Rhinitis and Sensitization (17 papers), Lichen and fungal ecology (12 papers) and Indoor Air Quality and Microbial Exposure (6 papers). Antonio Picornell is often cited by papers focused on Allergic Rhinitis and Sensitization (17 papers), Lichen and fungal ecology (12 papers) and Indoor Air Quality and Microbial Exposure (6 papers). Antonio Picornell collaborates with scholars based in Spain, Germany and United States. Antonio Picornell's co-authors include Jesús Rojo, José Oteros, Marta Recio, M.M. Trigo, Baltasar Cabezudo, Matthias Werchan, Carsten B. Schmidt‐Weber, Jeroen Buters, Karl‐Christian Bergmann and Rosa Pérez-Badía and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and Global Change Biology.

In The Last Decade

Antonio Picornell

23 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Antonio Picornell Spain 13 295 231 151 135 50 27 478
David Rodríguez de la Cruz Spain 14 202 0.7× 159 0.7× 214 1.4× 153 1.1× 25 0.5× 45 484
Magdalena Sadyś United Kingdom 14 325 1.1× 206 0.9× 355 2.4× 186 1.4× 36 0.7× 24 602
Montserrat Gutiérrez Bustillo Spain 14 429 1.5× 277 1.2× 359 2.4× 141 1.0× 35 0.7× 26 675
L. Ruiz Spain 11 419 1.4× 324 1.4× 149 1.0× 322 2.4× 43 0.9× 13 672
Rafael Tormo Spain 9 299 1.0× 286 1.2× 175 1.2× 142 1.1× 28 0.6× 13 478
Nicoleta Ianovici Romania 10 241 0.8× 171 0.7× 158 1.0× 119 0.9× 23 0.5× 45 415
Beatriz Lara Spain 9 196 0.7× 136 0.6× 129 0.9× 59 0.4× 29 0.6× 14 302
Luigia Ruga Italy 10 99 0.3× 98 0.4× 86 0.6× 197 1.5× 23 0.5× 31 361
B. Romano Italy 16 296 1.0× 297 1.3× 66 0.4× 403 3.0× 36 0.7× 34 680
Bogdan Jackowiak Poland 9 116 0.4× 133 0.6× 59 0.4× 139 1.0× 45 0.9× 35 284

Countries citing papers authored by Antonio Picornell

Since Specialization
Citations

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

Fields of papers citing papers by Antonio Picornell

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Picornell

This figure shows the co-authorship network connecting the top 25 collaborators of Antonio Picornell. A scholar is included among the top collaborators of Antonio Picornell 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 Antonio Picornell. Antonio Picornell 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.
Schiffers, Katja, Antonio Picornell, José A. Egea, et al.. (2025). Contrasting responses to climate change – predicting bloom of major temperate fruit tree species in the Mediterranean region and Central Europe. Agricultural and Forest Meteorology. 375. 110859–110859.
2.
3.
Trigo, M.M., et al.. (2024). Flowering seasonality and airborne pollen recent trends in Sierra de las Nieves, the southernmost National Park in continental Spain. Agricultural and Forest Meteorology. 359. 110295–110295. 2 indexed citations
4.
Alcázar, Purificación, Carmen de Torres, Concepción De Linares, et al.. (2024). Impacts of climate change on airborne Quercus pollen trends in Andalusia region (southern Spain). Regional Environmental Change. 24(2). 3 indexed citations
5.
Martín, Cristian, Luis Llopis, Manuel Díáz, et al.. (2023). Pollen recognition through an open-source web-based system: automated particle counting for aerobiological analysis. Earth Science Informatics. 17(1). 699–710.
6.
7.
Picornell, Antonio, Ilda Abreu, & Helena Ribeiro. (2023). Trends and future projections of Olea flowering in the western Mediterranean: The example of the Alentejo region (Portugal). Agricultural and Forest Meteorology. 339. 109559–109559. 11 indexed citations
8.
Picornell, Antonio, et al.. (2023). Applying wind patterns and land use to estimate the concentrations of airborne pollen of herbaceous taxa in a statistical framework. Urban Climate. 49. 101496–101496. 8 indexed citations
9.
Picornell, Antonio, et al.. (2023). e-Science workflow: A semantic approach for airborne pollen prediction. Knowledge-Based Systems. 284. 111230–111230. 1 indexed citations
10.
Picornell, Antonio, et al.. (2023). Effects of climate change on Platanus flowering in Western Mediterranean cities: Current trends and future projections. The Science of The Total Environment. 906. 167800–167800. 13 indexed citations
11.
Picornell, Antonio, et al.. (2023). A deep learning LSTM-based approach for forecasting annual pollen curves: Olea and Urticaceae pollen types as a case study. Computers in Biology and Medicine. 168. 107706–107706. 4 indexed citations
12.
Picornell, Antonio, Matt Smith, & Jesús Rojo. (2022). Climate change related phenological decoupling in species belonging to the Betulaceae family. International Journal of Biometeorology. 67(1). 195–209. 11 indexed citations
13.
Picornell, Antonio, José Oteros, Marta Recio, et al.. (2021). Methods for interpolating missing data in aerobiological databases. Environmental Research. 200. 111391–111391. 24 indexed citations
14.
Rojo, Jesús, Antonio Picornell, José Oteros, et al.. (2021). Consequences of climate change on airborne pollen in Bavaria, Central Europe. Regional Environmental Change. 21(1). 42 indexed citations
15.
Rojo, Jesús, José Oteros, Antonio Picornell, et al.. (2021). Effects of future climate change on birch abundance and their pollen load. Global Change Biology. 27(22). 5934–5949. 45 indexed citations
16.
Orlandi, Fabio, Jesús Rojo, Antonio Picornell, et al.. (2020). Impact of Climate Change on Olive Crop Production in Italy. Atmosphere. 11(6). 595–595. 49 indexed citations
17.
Rojo, Jesús, Fabio Orlandi, Ali Ben Dhiab, et al.. (2020). Estimation of Chilling and Heat Accumulation Periods Based on the Timing of Olive Pollination. Forests. 11(8). 835–835. 29 indexed citations
18.
Picornell, Antonio, et al.. (2020). Medium- and long-range transport events of Alnus pollen in western Mediterranean. International Journal of Biometeorology. 64(10). 1637–1647. 14 indexed citations
19.
Rojo, Jesús, Antonio Picornell, & José Oteros. (2019). AeRobiology: The computational tool for biological data in the air. Methods in Ecology and Evolution. 10(8). 1371–1376. 79 indexed citations
20.
Picornell, Antonio, Jeroen Buters, Jesús Rojo, et al.. (2019). Predicting the start, peak and end of the Betula pollen season in Bavaria, Germany. The Science of The Total Environment. 690. 1299–1309. 27 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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