G. Paredes-Miranda

770 total citations
9 papers, 488 citations indexed

About

G. Paredes-Miranda is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, G. Paredes-Miranda has authored 9 papers receiving a total of 488 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Atmospheric Science, 8 papers in Global and Planetary Change and 4 papers in Health, Toxicology and Mutagenesis. Recurrent topics in G. Paredes-Miranda's work include Atmospheric chemistry and aerosols (8 papers), Atmospheric aerosols and clouds (5 papers) and Air Quality and Health Impacts (4 papers). G. Paredes-Miranda is often cited by papers focused on Atmospheric chemistry and aerosols (8 papers), Atmospheric aerosols and clouds (5 papers) and Air Quality and Health Impacts (4 papers). G. Paredes-Miranda collaborates with scholars based in United States, Mexico and Peru. G. Paredes-Miranda's co-authors include W. P. Arnott, J. C. Barnard, Alexander Laskin, K. Fung, Jian Zhen Yu, Ming Chang, J. C. Chow, John G. Watson, L.‐W. Antony Chen and J. L. Jiménez and has published in prestigious journals such as Atmospheric chemistry and physics, Bulletin of the American Meteorological Society and Remote Sensing.

In The Last Decade

G. Paredes-Miranda

9 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
G. Paredes-Miranda United States 7 447 308 260 79 53 9 488
Khadeejeh M. Hamasha Jordan 3 478 1.1× 340 1.1× 264 1.0× 63 0.8× 55 1.0× 6 518
Y. N. Xie China 4 502 1.1× 236 0.8× 374 1.4× 172 2.2× 42 0.8× 6 547
Mark Estes United States 15 578 1.3× 280 0.9× 354 1.4× 162 2.1× 85 1.6× 25 644
N. Good United Kingdom 8 518 1.2× 380 1.2× 281 1.1× 52 0.7× 26 0.5× 10 532
K. S. Docherty United States 4 538 1.2× 261 0.8× 411 1.6× 102 1.3× 56 1.1× 6 558
R. Fierz‐Schmidhauser Switzerland 7 872 2.0× 700 2.3× 384 1.5× 81 1.0× 58 1.1× 9 921
Chuanyang Shen China 12 403 0.9× 293 1.0× 176 0.7× 70 0.9× 19 0.4× 24 431
Sophie Cousineau Canada 6 269 0.6× 201 0.7× 161 0.6× 69 0.9× 47 0.9× 7 328
Robert E. Imhoff United States 12 392 0.9× 134 0.4× 280 1.1× 125 1.6× 98 1.8× 22 453
Gilles Aymoz France 7 391 0.9× 199 0.6× 278 1.1× 56 0.7× 76 1.4× 12 422

Countries citing papers authored by G. Paredes-Miranda

Since Specialization
Citations

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

Fields of papers citing papers by G. Paredes-Miranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by G. Paredes-Miranda. 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 G. Paredes-Miranda. The network helps show where G. Paredes-Miranda may publish in the future.

Co-authorship network of co-authors of G. Paredes-Miranda

This figure shows the co-authorship network connecting the top 25 collaborators of G. Paredes-Miranda. A scholar is included among the top collaborators of G. Paredes-Miranda 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 G. Paredes-Miranda. G. Paredes-Miranda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

9 of 9 papers shown
2.
Salcedo, D., G. Paredes-Miranda, Michel Grutter, et al.. (2021). Temporal variations of black carbon, carbon monoxide, and carbon dioxide in Mexico City: Mutual correlations and evaluation of emissions inventories. Urban Climate. 37. 100855–100855. 12 indexed citations
3.
Peralta, Oscar, et al.. (2019). Optical properties of atmospheric particles over an urban site in Mexico City and a peri-urban site in Queretaro. Journal of Atmospheric Chemistry. 76(3). 201–228. 8 indexed citations
4.
Paredes-Miranda, G., et al.. (2012). Black Carbon Aerosol Concentration in Five Cities and Its Scaling with City Population. Bulletin of the American Meteorological Society. 94(1). 41–50. 13 indexed citations
5.
Barnard, J. C., et al.. (2010). Technical Note: Evaluation of the WRF-Chem "Aerosol Chemical to Aerosol Optical Properties" Module using data from the MILAGRO campaign. Atmospheric chemistry and physics. 10(15). 7325–7340. 182 indexed citations
6.
Paredes-Miranda, G., W. P. Arnott, J. L. Jiménez, et al.. (2009). Primary and secondary contributions to aerosol light scattering and absorption in Mexico City during the MILAGRO 2006 campaign. Atmospheric chemistry and physics. 9(11). 3721–3730. 66 indexed citations
7.
Doran, J. C., James Barnard, W. P. Arnott, et al.. (2007). The T1-T2 study: evolution of aerosol properties downwind of Mexico City. Atmospheric chemistry and physics. 7(6). 1585–1598. 87 indexed citations
8.
Arnott, W. P., K. Lewis, G. Paredes-Miranda, et al.. (2006). Observations of aerosol light scattering, absorption, and particle morphology changes as a function of relative humidity. AGU Fall Meeting Abstracts. 2006. 1 indexed citations
9.
Chow, J. C., John G. Watson, L.‐W. Antony Chen, et al.. (2005). Refining temperature measures in thermal/optical carbon analysis. Atmospheric chemistry and physics. 5(11). 2961–2972. 114 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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