Javier Pórtoles

27 total papers · 818 total citations
17 papers, 382 citations indexed

About

Javier Pórtoles is a scholar working on Global and Planetary Change, Atmospheric Science and Nature and Landscape Conservation. According to data from OpenAlex, Javier Pórtoles has authored 17 papers receiving a total of 382 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Global and Planetary Change, 7 papers in Atmospheric Science and 5 papers in Nature and Landscape Conservation. Recurrent topics in Javier Pórtoles's work include Climate variability and models (8 papers), Meteorological Phenomena and Simulations (6 papers) and Fish Ecology and Management Studies (5 papers). Javier Pórtoles is often cited by papers focused on Climate variability and models (8 papers), Meteorological Phenomena and Simulations (6 papers) and Fish Ecology and Management Studies (5 papers). Javier Pórtoles collaborates with scholars based in Spain, United States and Japan. Javier Pórtoles's co-authors include Robert Monjo, Jaime Ribalaygua, María Rosa Pino-Otín, Francisco Martínez‐Capel, Diego García de Jalón, Rafael Muñoz‐Mas, Joaquín Solana Gutiérrez, Carlos Alonso, C. González and Javier M. Moguerza and has published in prestigious journals such as PLoS ONE, The Science of The Total Environment and International Journal of Climatology.

In The Last Decade

Javier Pórtoles

17 papers receiving 373 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Javier Pórtoles	200	91	89	85	78	17	382
Wenjuan Hou	228 1.1×	73 0.8×	39 0.4×	77 0.9×	141 1.8×	16	384
Yelin Jiang	304 1.5×	52 0.6×	41 0.5×	93 1.1×	156 2.0×	26	414
Patrick Royer	240 1.2×	61 0.7×	141 1.6×	113 1.3×	110 1.4×	19	391
Patrícia S. Silva	266 1.3×	22 0.2×	39 0.4×	69 0.8×	99 1.3×	15	427
Rui Kong	211 1.1×	72 0.8×	60 0.7×	60 0.7×	118 1.5×	28	379
Xiaofeng Lin	298 1.5×	121 1.3×	22 0.2×	80 0.9×	168 2.2×	30	423
Diana R. Gergel	244 1.2×	192 2.1×	24 0.3×	143 1.7×	57 0.7×	15	428
Fuxin Zhu	193 1.0×	102 1.1×	34 0.4×	246 2.9×	30 0.4×	12	377
Susana Cardoso Pereira	278 1.4×	44 0.5×	27 0.3×	148 1.7×	54 0.7×	16	425
B. G. Mousa	230 1.1×	54 0.6×	24 0.3×	82 1.0×	115 1.5×	18	410

Countries citing papers authored by Javier Pórtoles

Since Specialization

Citations

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

Fields of papers citing papers by Javier Pórtoles

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Javier Pórtoles

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

All Works

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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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