A. Salcido

519 total citations
34 papers, 267 citations indexed

About

A. Salcido is a scholar working on Environmental Engineering, Atmospheric Science and Health, Toxicology and Mutagenesis. According to data from OpenAlex, A. Salcido has authored 34 papers receiving a total of 267 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Environmental Engineering, 12 papers in Atmospheric Science and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in A. Salcido's work include Air Quality and Health Impacts (9 papers), Wind and Air Flow Studies (9 papers) and Atmospheric chemistry and aerosols (9 papers). A. Salcido is often cited by papers focused on Air Quality and Health Impacts (9 papers), Wind and Air Flow Studies (9 papers) and Atmospheric chemistry and aerosols (9 papers). A. Salcido collaborates with scholars based in Mexico, United States and Italy. A. Salcido's co-authors include T. Castro, John E. Frederick, N. A. Marley, J. S. Gaffney, Roberto Sozzi, Teodoro Georgiadis, Oscar Peralta, Jorge Pey, William E. Eichinger and B. Cárdenas and has published in prestigious journals such as The Science of The Total Environment, Atmospheric chemistry and physics and Physica A Statistical Mechanics and its Applications.

In The Last Decade

A. Salcido

33 papers receiving 252 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
A. Salcido Mexico	9	130	100	99	69	33	34	267
Makoto Kelp United States	12	145 1.1×	104 1.0×	154 1.6×	136 2.0×	61 1.8×	24	315
Jana Fischereit Denmark	11	92 0.7×	52 0.5×	79 0.8×	137 2.0×	10 0.3×	20	305
Rosaria Ignaccolo Italy	10	63 0.5×	94 0.9×	112 1.1×	161 2.3×	24 0.7×	27	333
Bruce A. Egan United States	8	121 0.9×	59 0.6×	98 1.0×	150 2.2×	42 1.3×	16	281
Andrew Malwitz United States	7	82 0.6×	237 2.4×	114 1.2×	21 0.3×	182 5.5×	14	351
Michael Davis United States	4	201 1.5×	209 2.1×	328 3.3×	398 5.8×	75 2.3×	6	608
Guowen He China	9	208 1.6×	105 1.1×	133 1.3×	135 2.0×	32 1.0×	21	321
Helen C. Power United States	12	156 1.2×	186 1.9×	69 0.7×	82 1.2×	44 1.3×	27	383
Q. Zhang China	6	330 2.5×	152 1.5×	328 3.3×	138 2.0×	77 2.3×	11	473
Ahmed Khan Salman United States	9	162 1.2×	67 0.7×	157 1.6×	210 3.0×	15 0.5×	15	280

Countries citing papers authored by A. Salcido

Since Specialization

Citations

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

Fields of papers citing papers by A. Salcido

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of A. Salcido

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

All Works

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20 of 20 papers shown

Salcido, A. & T. Castro. (2021). Influence of meteorological patterns on the 2020 COVID-19 pandemic in the Mexico City region. Environmental Advances. 7. 100157–100157. 1 indexed citations

Salcido, A.. (2020). A lattice gas model for infection spreading: Application to the COVID-19 pandemic in the Mexico City Metropolitan Area. Results in Physics. 20. 103758–103758. 4 indexed citations

Salcido, A.. (2018). A Phenomenological Gradient Approach to Generalized Constitutive Equations for Isotropic Fluids. Journal of Applied Mathematics and Physics. 6(7). 1494–1506. 1 indexed citations

Salcido, A., et al.. (2017). Air Pollutant Emissions in the Fukui-Ishibashi and Nagel-Schreckenberg Traffic Cellular Automata. Journal of Applied Mathematics and Physics. 5(11). 2140–2161. 3 indexed citations

Castro, T., et al.. (2017). Water-soluble inorganic ions of size-differentiated atmospheric particles from a suburban site of Mexico City. Journal of Atmospheric Chemistry. 75(2). 155–169. 5 indexed citations

Salcido, A., et al.. (2017). Exact results of 1D traffic cellular automata: The low-density behavior of the Fukui–Ishibashi model. Physica A Statistical Mechanics and its Applications. 494. 276–287. 12 indexed citations

Salcido, A., et al.. (2015). Lattice Wind Description and Characterization of Mexico City Local Wind Events in the 2001–2006 Period. Climate. 3(3). 542–562. 4 indexed citations

Salcido, A., et al.. (2015). Cluster Analysis of the Wind Events and Seasonal Wind Circulation Patterns in the Mexico City Region. Atmosphere. 6(8). 1006–1031. 22 indexed citations

Salcido, A., et al.. (2014). A Brief Clustering Analysis of the Mexico City Local Wind States Occurred during the Milagro Campaign. 3 indexed citations

10.

Salcido, A., et al.. (2013). Main Characteristics of Mexico City Local Wind Events during the MILAGRO 2006 Campaign within a Meso-β Scale Lattice Wind Modeling Approach. 2013. 1–14. 7 indexed citations

11.

Salcedo, D., T. Castro, L. G. Ruíz-Suárez, et al.. (2011). Study of the regional air quality south of Mexico City (Morelos state). The Science of The Total Environment. 414. 417–432. 22 indexed citations

12.

Marley, N. A., J. S. Gaffney, T. Castro, A. Salcido, & John E. Frederick. (2009). Measurements of aerosol absorption and scattering in the Mexico City Metropolitan Area during the MILAGRO field campaign: a comparison of results from the T0 and T1 sites. Atmospheric chemistry and physics. 9(1). 189–206. 55 indexed citations

13.

Salcido, A., et al.. (2008). Modeling of coagulation and dispersion of aerosolsin the atmosphere. Revista Mexicana de Física. 54(6). 422–432. 1 indexed citations

14.

Salcido, A., et al.. (2008). Lattice gas simulation of wind fields in the Mexico City Metropolitan Area. international conference on Modelling and simulation. 154(10). 95–100. 1 indexed citations

15.

Moreno, Teresa, Xavier Querol, Jorge Pey, et al.. (2008). Spatial and temporal variations in inhalable CuZnPb aerosols within the Mexico City pollution plume. Journal of Environmental Monitoring. 10(3). 370–370. 20 indexed citations

16.

Salcido, A.. (2007). The maximum entropy states of 1d cellular automata traffic models. international conference on Modelling and simulation. 160–165. 2 indexed citations

17.

Salcido, A., et al.. (2005). A mean field model for brownian and turbulent coagulation of polydispersed aerosols. Revista Mexicana de Física. 51(4). 379–386. 3 indexed citations

18.

Salcido, A., et al.. (2003). A micrometeorological data base for the Mexico City Metropolitan Area. 26(3). 317–355. 8 indexed citations

19.

Cabrera, Armando, et al.. (1991). Jahn-Teller effect in the LaSrCuO superconductor. Physica C Superconductivity. 185-189. 1553–1554. 1 indexed citations

20.

Salcido, A.. (1970). Lattice Gas Model For Transport AndDispersion Phenomena Of Air Pollutants. WIT Transactions on Ecology and the Environment. 1. 3 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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