Sara García-Salgado

21 papers receiving 508 citations

Peers

Sara García-Salgado
Comparison fields: 5 of 76
  • Environmental Chemistry 247
  • Pollution 182
  • Health, Toxicology and Mutagenesis 152
  • Analytical Chemistry 106
  • Water Science and Technology 75
Replace Silvia Farı́as with:
Silvia Farı́as Argentina
Nadia Mzoughi Tunisia
Kaoru Abe Japan
Jean Philippe Ghestem France
Pascal Roche France
Munish Kumar Upadhyay India
Hana Dočekalová Czechia
Brigitte Raue Germany
Sadiq Naveed China
K. Chandra Sekhar India
Sara García-Salgado relative to Silvia Farı́as Argentina Silvia Farı́as's profile →
Citations per field
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Silvia Farı́as · 1×
Citations per year

Countries citing papers authored by Sara García-Salgado

Since Specialization
Citations

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

Fields of papers citing papers by Sara García-Salgado

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sara García-Salgado. 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 Sara García-Salgado. The network helps show where Sara García-Salgado may publish in the future.

Co-authorship network of co-authors of Sara García-Salgado

This figure shows the co-authorship network connecting the top 25 collaborators of Sara García-Salgado. A scholar is included among the top collaborators of Sara García-Salgado 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 Sara García-Salgado. Sara García-Salgado 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
#WorkIndexed citations
1 4
2 1
3 0
4 9
5 7
6 10
7 9
8 56
9 3
10
Laboratorios virtuales: recurso didáctico aplicado a prácticas experimentales de análisis químico
0
11 3
12 15
13 15
14 112
15 78
16 77
17 22
18
Arsénico y otros metales pesados en plantas de comunidades de pastos del Cerro de la Plata (Bustarviejo, Madrid)
2
19 46
20 33

About Sara García-Salgado

Sara García-Salgado is a scholar working on Environmental Chemistry, Pollution and Geochemistry and Petrology, having authored 23 papers that have together received 518 indexed citations. Recurring topics across this work include Arsenic contamination and mitigation (8 papers), Heavy metals in environment (7 papers) and Hydrological Forecasting Using AI (3 papers). The work is most often cited by research in Environmental Chemistry (247 citations), Pollution (182 citations) and Health, Toxicology and Mutagenesis (152 citations). Sara García-Salgado has collaborated with scholars based in Spain, Austria and United States. Frequent co-authors include M. Ángeles Quijano, Christoph Magnes, Reingard Raml, Kevin A. Francesconi, Georg Raber, Fernando Rodríguez Varela, Elena Cerro‐Prada, M. Isabel Más-López, Mariano Simón Torres and Santiago Pindado. Their work appears in journals such as Journal of Chromatography A, Analytica Chimica Acta and International Journal of Environmental Research and Public Health.

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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