Sara García-Salgado

668 citations
23 papers · 518 indexed · h-index 10

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
  • Electrochemistry 47
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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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

The 14 scholars most cited alongside Sara García-Salgado, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sara García-Salgado Line = papers co-authored together Sara García-Salgado links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20244
2 20231
3 20230
4 20229
5 20227
6 202110
7 20209
8 201856
9 20163
10
Laboratorios virtuales: recurso didáctico aplicado a prácticas experimentales de análisis químico
20160
11 20143
12 201415
13 201415
14 2012112
15 201178
16 201177
17 200822
18
Arsénico y otros metales pesados en plantas de comunidades de pastos del Cerro de la Plata (Bustarviejo, Madrid)
20082
19 200646
20 200533

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), Hydrological Forecasting Using AI (3 papers), Analytical chemistry methods development (2 papers), Concrete and Cement Materials Research (2 papers), Coal and Its By-products (2 papers), Experimental Learning in Engineering (2 papers) and Water Quality Monitoring Technologies (2 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.

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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