Silvia Díaz-Alcaide

18 total papers · 478 total citations
12 papers, 341 citations indexed

About

Silvia Díaz-Alcaide is a scholar working on Environmental Engineering, Water Science and Technology and Nutrition and Dietetics. According to data from OpenAlex, Silvia Díaz-Alcaide has authored 12 papers receiving a total of 341 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Engineering, 7 papers in Water Science and Technology and 4 papers in Nutrition and Dietetics. Recurrent topics in Silvia Díaz-Alcaide's work include Hydrology and Watershed Management Studies (5 papers), Child Nutrition and Water Access (4 papers) and Groundwater and Watershed Analysis (4 papers). Silvia Díaz-Alcaide is often cited by papers focused on Hydrology and Watershed Management Studies (5 papers), Child Nutrition and Water Access (4 papers) and Groundwater and Watershed Analysis (4 papers). Silvia Díaz-Alcaide collaborates with scholars based in Spain and Mexico. Silvia Díaz-Alcaide's co-authors include Pedro Martínez‐Santos, Fermín Villarroya, África de la Hera Portillo, Eduardo Montero, Kerstin Danert and Silvino Castaño Castaño and has published in prestigious journals such as Journal of Hydrology, Hydrological Processes and Water.

In The Last Decade

Silvia Díaz-Alcaide

12 papers receiving 338 citations

Author Peers

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

Author Last Decade Papers Cites
Silvia Díaz-Alcaide 230 166 114 71 62 12 341
Philip Gyau-Boakye 160 0.7× 126 0.8× 95 0.8× 100 1.4× 74 1.2× 11 353
Fouad Amraoui 200 0.9× 128 0.8× 140 1.2× 62 0.9× 41 0.7× 19 310
Mojtaba Noury 134 0.6× 137 0.8× 104 0.9× 56 0.8× 67 1.1× 11 317
Alexandra Lutz 96 0.4× 159 1.0× 50 0.4× 127 1.8× 60 1.0× 15 378
Scott C. Worland 132 0.6× 192 1.2× 112 1.0× 36 0.5× 84 1.4× 16 338
Devaraj de Condappa 127 0.6× 144 0.9× 86 0.8× 41 0.6× 81 1.3× 13 340
Masoud Saatsaz 135 0.6× 120 0.7× 108 0.9× 65 0.9× 68 1.1× 17 327
Issoufou Ouédraogo 221 1.0× 160 1.0× 43 0.4× 196 2.8× 19 0.3× 26 373
Nicole Kretschmer 105 0.5× 170 1.0× 67 0.6× 106 1.5× 37 0.6× 13 332
Gloria Eneke Takem Eyong 194 0.8× 151 0.9× 24 0.2× 232 3.3× 45 0.7× 10 387

Countries citing papers authored by Silvia Díaz-Alcaide

Since Specialization
Citations

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

Fields of papers citing papers by Silvia Díaz-Alcaide

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Silvia Díaz-Alcaide. 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 Silvia Díaz-Alcaide. The network helps show where Silvia Díaz-Alcaide may publish in the future.

Co-authorship network of co-authors of Silvia Díaz-Alcaide

This figure shows the co-authorship network connecting the top 25 collaborators of Silvia Díaz-Alcaide. A scholar is included among the top collaborators of Silvia Díaz-Alcaide 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 Silvia Díaz-Alcaide. Silvia Díaz-Alcaide 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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