Gabriel Narváez

20 papers receiving 384 citations

Peers

Gabriel Narváez
Comparison fields: 5 of 78
  • Renewable Energy, Sustainability and the Environment 166
  • Artificial Intelligence 193
  • Molecular Medicine 14
  • Electrical and Electronic Engineering 166
  • Energy Engineering and Power Technology 8
Replace Saba Anwar with:
Saba Anwar Pakistan
Jianjing Li China
Utkucan Şahin Türkiye
Beomseok Lee South Korea
Jiantao Xin China
Rashmi Singh India
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Ruilian Wang China
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Rezaul Hasan Bangladesh
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Citations per field
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Citations per year

Countries citing papers authored by Gabriel Narváez

Since Specialization
Citations

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

Fields of papers citing papers by Gabriel Narváez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Gabriel Narváez, 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 Gabriel Narváez Line = papers co-authored together Gabriel Narváez links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020126
2 2022120
3 201748
4 201419
5 202217
6 202112
7 202311
8 200910
9 20238
10 20204
11 20203
12 20213
13 20213
14 20233
15 20252
16 20252
17 20141
18 20221
19 20211
20 20201

About Gabriel Narváez

Gabriel Narváez is a scholar working on Artificial Intelligence, Infectious Diseases, Molecular Medicine, Electrical and Electronic Engineering and Pollution, having authored 21 papers that have together received 395 indexed citations. Recurring topics across this work include Solar Radiation and Photovoltaics (7 papers), Antibiotic Resistance in Bacteria (5 papers), Energy Load and Power Forecasting (4 papers), Antibiotic Use and Resistance (3 papers), Photovoltaic System Optimization Techniques (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Energy and Environment Impacts (2 papers) and Antimicrobial Resistance in Staphylococcus (2 papers). The work is most often cited by research in Renewable Energy, Sustainability and the Environment (166 citations), Artificial Intelligence (193 citations), Molecular Medicine (14 citations), Electrical and Electronic Engineering (166 citations) and Energy Engineering and Power Technology (8 citations). Gabriel Narváez has collaborated with scholars based in Brazil, Colombia and France. Frequent co-authors include Luis Felipe Giraldo, Michaël Bressan, Andrés Pantoja, Leandro Reus Rodrigues Perez, Cícero Armídio Gomes Dias, Pedro Alves d’Azevedo, Juliana Caierão, Renan Rangel Bonamigo, Ayan Santos Fleischmann and João Paulo Lyra Fialho Brêda. Their work appears in journals such as Infection Control and Hospital Epidemiology, Environmental Research Communications, American Journal of Infection Control, Heliyon and Renewable Energy.

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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