Jorge E. Pachón

1.1k total citations
43 papers, 809 citations indexed

About

Jorge E. Pachón is a scholar working on Health, Toxicology and Mutagenesis, Environmental Engineering and Automotive Engineering. According to data from OpenAlex, Jorge E. Pachón has authored 43 papers receiving a total of 809 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Health, Toxicology and Mutagenesis, 22 papers in Environmental Engineering and 21 papers in Automotive Engineering. Recurrent topics in Jorge E. Pachón's work include Air Quality and Health Impacts (35 papers), Vehicle emissions and performance (21 papers) and Air Quality Monitoring and Forecasting (19 papers). Jorge E. Pachón is often cited by papers focused on Air Quality and Health Impacts (35 papers), Vehicle emissions and performance (21 papers) and Air Quality Monitoring and Forecasting (19 papers). Jorge E. Pachón collaborates with scholars based in Colombia, United States and Brazil. Jorge E. Pachón's co-authors include Armistead G. Russell, James A. Mulholland, Sivaraman Balachandran, Rodney J. Weber, Xiaolu Zhang, Néstor Y. Rojas, Yongtao Hu, Omar Ramírez, Barron H. Henderson and Dong‐Ho Lee and has published in prestigious journals such as SHILAP Revista de lepidopterología, Environmental Science & Technology and The Science of The Total Environment.

In The Last Decade

Jorge E. Pachón

38 papers receiving 794 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jorge E. Pachón Colombia 16 654 438 284 228 222 43 809
Jerzy Debosz Canada 13 584 0.9× 388 0.9× 253 0.9× 270 1.2× 122 0.5× 17 687
Nathan Hilker Canada 15 783 1.2× 509 1.2× 301 1.1× 414 1.8× 154 0.7× 20 940
Valentin Foltescu Sweden 12 564 0.9× 559 1.3× 236 0.8× 153 0.7× 245 1.1× 18 850
Sjaak Slanina China 9 720 1.1× 698 1.6× 284 1.0× 183 0.8× 204 0.9× 12 917
Dennis Herod Canada 11 488 0.7× 288 0.7× 205 0.7× 226 1.0× 77 0.3× 11 566
Camillo Silibello Italy 16 598 0.9× 378 0.9× 383 1.3× 118 0.5× 196 0.9× 45 791
Fabio Massimo Grasso Italy 15 496 0.8× 518 1.2× 367 1.3× 178 0.8× 235 1.1× 33 772
Luolin Wu China 14 389 0.6× 410 0.9× 309 1.1× 142 0.6× 111 0.5× 21 629
Zhimei Xiao China 16 857 1.3× 895 2.0× 430 1.5× 195 0.9× 294 1.3× 34 1.1k
J. C. Chow United States 7 481 0.7× 518 1.2× 184 0.6× 142 0.6× 241 1.1× 8 664

Countries citing papers authored by Jorge E. Pachón

Since Specialization
Citations

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

Fields of papers citing papers by Jorge E. Pachón

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge E. Pachón. 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 Jorge E. Pachón. The network helps show where Jorge E. Pachón may publish in the future.

Co-authorship network of co-authors of Jorge E. Pachón

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge E. Pachón. A scholar is included among the top collaborators of Jorge E. Pachón 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 Jorge E. Pachón. Jorge E. Pachón 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
1.
Pachón, Jorge E., et al.. (2023). Impact of oxygenated fuels on atmospheric emissions in major Colombian cities. Atmospheric Environment. 308. 119863–119863. 5 indexed citations
2.
Pachón, Jorge E., et al.. (2021). Air quality modeling to inform pollution mitigation strategies in a Latin American megacity. The Science of The Total Environment. 776. 145894–145894. 31 indexed citations
3.
Rojas, Néstor Y., et al.. (2020). Air quality variations in Northern South America during the COVID-19 lockdown. The Science of The Total Environment. 749. 141621–141621. 67 indexed citations
4.
Rojas, Néstor Y., et al.. (2020). PM2.5 emissions, concentrations and air quality index during the COVID-19 lockdown. Environmental Pollution. 272. 115973–115973. 4 indexed citations
5.
Pachón, Jorge E., et al.. (2019). Assessment of human health costs associated with particulate material (PM2.5) in Bogotá. 1–8. 1 indexed citations
6.
7.
Gálvis, Boris, et al.. (2017). Dispositivo electrónico portable para la medición de la contaminación del aire. Dialnet (Universidad de la Rioja). 8(1). 8–18.
8.
Henderson, Barron H., et al.. (2016). Comparing Standard to Feature-Based Meteorological Model Evaluation Techniques in Bogotá, Colombia. Journal of Applied Meteorology and Climatology. 56(2). 391–413. 14 indexed citations
9.
Carmona, Luis Gabriel, et al.. (2016). Conciliación de inventarios top-down y bottom-up de emisiones de fuentes móviles en Bogotá, Colombia. SHILAP Revista de lepidopterología. 20(49). 59–59. 10 indexed citations
10.
Pachón, Jorge E., et al.. (2015). Health risk represented by inhaling polycyclic aromatic hydrocarbons (PAH) during daily commuting involving using a high traffic flow route in Bogotá.. PubMed. 15(3). 398–407. 4 indexed citations
11.
Pachón, Jorge E., et al.. (2014). Análisis espacio-temporal de la concentración de metales pesados en la localidad de Puente Aranda de Bogotá-Colombia. SHILAP Revista de lepidopterología. 5 indexed citations
12.
Pachón, Jorge E., et al.. (2014). Heavy metal determination and source emission identification in an industrial location of Bogotá-Colombia. Revista Facultad de Ingeniería Universidad de Antioquia. 120–133. 5 indexed citations
13.
Pachón, Jorge E., et al.. (2014). Estimación de hidrocarburos aromáticos policíclicos y metales pesados asociados con la quema de caña de azúcar en el valle geográfico del río Cauca, Colombia. 1(21). 57–82. 3 indexed citations
14.
Pachón, Jorge E., et al.. (2014). Implementation of a WRF-CMAQ Air Quality Modeling System in Bogotá, Colombia. AGU Fall Meeting Abstracts. 2014. 1 indexed citations
15.
Hu, Yongtao, Sivaraman Balachandran, Jorge E. Pachón, et al.. (2014). Fine particulate matter source apportionment using a hybrid chemical transport and receptor model approach. Atmospheric chemistry and physics. 14(11). 5415–5431. 44 indexed citations
16.
Pachón, Jorge E., et al.. (2013). Desarrollo de un modelo para la evaluación de alternativas de transporte particular sostenible en la ciudad de Bogotá. 1(20). 121–143. 1 indexed citations
17.
Pachón, Jorge E., Sivaraman Balachandran, Yongtao Hu, et al.. (2012). Development of outcome-based, multipollutant mobile source indicators. Journal of the Air & Waste Management Association. 62(4). 431–442. 26 indexed citations
18.
Pachón, Jorge E., et al.. (2011). Estudio de la morbilidad en niños menores a cinco años por enfermedad respiratoria aguda y su relación con la concentración de partículas en una zona industrial de la ciudad de Bogotá. 3(2). 145–154. 7 indexed citations
19.
Pachón, Jorge E., Sivaraman Balachandran, Yongtao Hu, et al.. (2010). Comparison of SOC estimates and uncertainties from aerosol chemical composition and gas phase data in Atlanta. Atmospheric Environment. 44(32). 3907–3914. 36 indexed citations
20.
Lee, Dong‐Ho, Sivaraman Balachandran, Jorge E. Pachón, et al.. (2009). Ensemble-Trained PM2.5 Source Apportionment Approach for Health Studies. Environmental Science & Technology. 43(18). 7023–7031. 43 indexed citations

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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