Gerard Sanz

35 total papers · 582 total citations
19 papers, 456 citations indexed

About

Gerard Sanz is a scholar working on Civil and Structural Engineering, Health, Toxicology and Mutagenesis and Environmental Engineering. According to data from OpenAlex, Gerard Sanz has authored 19 papers receiving a total of 456 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Civil and Structural Engineering, 11 papers in Health, Toxicology and Mutagenesis and 7 papers in Environmental Engineering. Recurrent topics in Gerard Sanz's work include Water Systems and Optimization (19 papers), Water Treatment and Disinfection (11 papers) and Urban Stormwater Management Solutions (4 papers). Gerard Sanz is often cited by papers focused on Water Systems and Optimization (19 papers), Water Treatment and Disinfection (11 papers) and Urban Stormwater Management Solutions (4 papers). Gerard Sanz collaborates with scholars based in Spain, United States and United Kingdom. Gerard Sanz's co-authors include Ramón Pérez, Miquel Àngel Cugueró Escofet, Vicenç Puig, Joseba Quevedo, Gabriela Cembrano, Jordi Meseguer, Dragan Savić, Zoran Kapelan, Fatiha Nejjari and Josep M. Mirats Tur and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Modelling & Software and IEEE Control Systems.

In The Last Decade

Gerard Sanz

18 papers receiving 446 citations

Author Peers

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

Author Last Decade Papers Cites
Gerard Sanz 425 144 137 111 97 19 456
Adrià Soldevila 387 0.9× 180 1.3× 81 0.6× 93 0.8× 55 0.6× 13 413
Miquel Àngel Cugueró Escofet 294 0.7× 135 0.9× 100 0.7× 64 0.6× 61 0.6× 29 411
Tom Walski 454 1.1× 118 0.8× 160 1.2× 120 1.1× 157 1.6× 27 503
Rosa M. Fernández‐Cantí 280 0.7× 120 0.8× 54 0.4× 72 0.6× 39 0.4× 20 449
Helena Mala-Jetmarova 423 1.0× 144 1.0× 62 0.5× 267 2.4× 97 1.0× 12 533
Wai Kuan Foong 397 0.9× 96 0.7× 69 0.5× 208 1.9× 125 1.3× 7 536
Guancheng Guo 244 0.6× 122 0.8× 62 0.5× 157 1.4× 135 1.4× 13 423
Bradley Eck 307 0.7× 119 0.8× 35 0.3× 165 1.5× 145 1.5× 42 496
Roger Powell 356 0.8× 73 0.5× 32 0.2× 197 1.8× 75 0.8× 29 470
Chyr Pyng Liou 397 0.9× 40 0.3× 84 0.6× 112 1.0× 95 1.0× 18 495

Countries citing papers authored by Gerard Sanz

Since Specialization
Citations

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

Fields of papers citing papers by Gerard Sanz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gerard Sanz

This figure shows the co-authorship network connecting the top 25 collaborators of Gerard Sanz. A scholar is included among the top collaborators of Gerard Sanz 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 Gerard Sanz. Gerard Sanz 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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