Pedro Simón

1.8k citations
11 papers · 1.3k · 1 hit paper · h-index 8

Impact in

Papers in

Pedro Simón

10 papers receiving 1.2k citations

Pedro Simón's Hit Papers

SARS-CoV-2 RNA in wastewater anticipated COVID-19 occurrence in a low prevalence area 2020 · 853 citations
8530+2+4Years since publication250500750

Peers

Pedro Simón
Comparison fields: 5 of 98
  • Infectious Diseases 765
  • General Dentistry 36
  • Industrial and Manufacturing Engineering 134
  • Water Science and Technology 190
  • Pollution 144
Replace Anil V. Shah with:
Anil V. Shah India
Yinyin Ye United States
César R. Mota Brazil
Laura Bruni Italy
Sudipti Arora India
Mary Vermi Aizza Corpuz Italy
Devrim Kaya United States
Rasha Maal‐Bared Canada
Liubo Zhang China
Pedro Simón relative to Anil V. Shah India Anil V. Shah's profile →
Citations per field
00.5×2×3×4.0×
Anil V. Shah · 1×
Citations per year

Countries citing papers authored by Pedro Simón

Since Specialization
Citations

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

Fields of papers citing papers by Pedro Simón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Pedro Simón, 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 Pedro Simón Line = papers co-authored together Pedro Simón links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1
SARS-CoV-2 RNA in wastewater anticipated COVID-19 occurrence in a low prevalence area
Hit paper breakdown →
2020853
2 2010172
3 201763
4 202043
5 202335
6 201732
7 201431
8 201529
9 20233
10
Eco-friendly ceramic membranes for water reuse in a membrane bioreactor (MBR)
20181
11 20240

About Pedro Simón

Pedro Simón is a scholar working on Industrial and Manufacturing Engineering, Water Science and Technology, Pollution, Health, Toxicology and Mutagenesis and Infectious Diseases, having authored 11 papers that have together received 1.3k indexed citations. Recurring topics across this work include Wastewater Treatment and Reuse (5 papers), Wastewater Treatment and Nitrogen Removal (4 papers), Water-Energy-Food Nexus Studies (2 papers), Membrane Separation Technologies (2 papers), Water Treatment and Disinfection (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Constructed Wetlands for Wastewater Treatment (2 papers) and Water resources management and optimization (1 paper). The work is most often cited by research in Infectious Diseases (765 citations), General Dentistry (36 citations), Industrial and Manufacturing Engineering (134 citations), Water Science and Technology (190 citations) and Pollution (144 citations). Pedro Simón has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Pilar Truchado, Ana Allende, Walter Randazzo, Enric Cuevas‐Ferrando, Glòria Sánchez, Antonio Arques, Mauro Aparecido Martinez, Ana M. Amat, Rosa Vercher and Lucas Santos‐Juanes. Their work appears in journals such as Water Science & Technology, Catalysis Today, Environmental Science and Pollution Research, The Science of The Total Environment and Water Research.

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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