M.A. Revuelta

543 total citations
17 papers, 359 citations indexed

About

M.A. Revuelta is a scholar working on Atmospheric Science, Global and Planetary Change and Health, Toxicology and Mutagenesis. According to data from OpenAlex, M.A. Revuelta has authored 17 papers receiving a total of 359 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Atmospheric Science, 10 papers in Global and Planetary Change and 9 papers in Health, Toxicology and Mutagenesis. Recurrent topics in M.A. Revuelta's work include Atmospheric chemistry and aerosols (14 papers), Air Quality and Health Impacts (9 papers) and Atmospheric aerosols and clouds (9 papers). M.A. Revuelta is often cited by papers focused on Atmospheric chemistry and aerosols (14 papers), Air Quality and Health Impacts (9 papers) and Atmospheric aerosols and clouds (9 papers). M.A. Revuelta collaborates with scholars based in Spain, Portugal and Austria. M.A. Revuelta's co-authors include Begoña Artı́ñano, Xavier Querol, Francisco J. Gómez‐Moreno, Célia Alves, Casimiro Pio, Fátima Mirante, Andrés Alástuey, Manuel Pujadas, Francisco Molero and Jorge Pey and has published in prestigious journals such as Environmental Pollution, Chemosphere and Atmospheric Environment.

In The Last Decade

M.A. Revuelta

17 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M.A. Revuelta Spain	12	266	217	118	82	56	17	359
Milena Stracquadanio Italy	9	145 0.5×	224 1.0×	60 0.5×	82 1.0×	46 0.8×	19	283
Irina Nikolova United Kingdom	11	228 0.9×	267 1.2×	42 0.4×	152 1.9×	87 1.6×	20	391
Ivana Jakovljević Croatia	12	148 0.6×	351 1.6×	40 0.3×	43 0.5×	48 0.9×	37	405
Jan Horálek Czechia	8	158 0.6×	219 1.0×	64 0.5×	77 0.9×	38 0.7×	11	308
Yuhong Guo China	10	275 1.0×	183 0.8×	177 1.5×	46 0.6×	27 0.5×	19	320
Tingna Liu China	7	282 1.1×	290 1.3×	115 1.0×	119 1.5×	46 0.8×	12	390
J. D. Hegarty United States	12	337 1.3×	278 1.3×	337 2.9×	119 1.5×	19 0.3×	31	594
Sanjay Ghosh India	7	170 0.6×	123 0.6×	98 0.8×	61 0.7×	21 0.4×	10	235
Mindo Lee South Korea	6	250 0.9×	198 0.9×	116 1.0×	73 0.9×	51 0.9×	10	296
Suresh K. R. Boreddy Japan	19	700 2.6×	414 1.9×	382 3.2×	110 1.3×	41 0.7×	39	761

Countries citing papers authored by M.A. Revuelta

Since Specialization

Citations

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

Fields of papers citing papers by M.A. Revuelta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M.A. Revuelta

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

All Works

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17 of 17 papers shown

Molero, Francisco, Alfonso Fernández, M.A. Revuelta, et al.. (2021). Effect of Vertical Profile of Aerosols on the Local Shortwave Radiative Forcing Estimation. Atmosphere. 12(2). 187–187. 6 indexed citations

Salvador, Pedro, Marco Pandolfi, Aurelio Tobı́as, et al.. (2020). Impact of mixing layer height variations on air pollutant concentrations and health in a European urban area: Madrid (Spain), a case study. Environmental Science and Pollution Research. 27(33). 41702–41716. 11 indexed citations

Salvador, Pedro, Francisco Molero, Alfonso Fernández, et al.. (2019). Synergistic effect of the occurrence of African dust outbreaks on atmospheric pollutant levels in the Madrid metropolitan area. Atmospheric Research. 226. 208–218. 26 indexed citations

Fernández, Alfonso, Francisco Molero, Pedro Salvador, et al.. (2017). Aerosol optical, microphysical and radiative forcing properties during variable intensity African dust events in the Iberian Peninsula. Atmospheric Research. 196. 129–141. 16 indexed citations

Revuelta, M.A., et al.. (2017). A Postprocessing Methodology for Direct Normal Irradiance Forecasting Using Cloud Information and Aerosol Load Forecasts. Journal of Applied Meteorology and Climatology. 56(6). 1595–1608. 8 indexed citations

Revuelta, M.A., G. McIntosh, Jorge Pey, et al.. (2014). Partitioning of magnetic particles in PM10, PM2.5 and PM1 aerosols in the urban atmosphere of Barcelona (Spain). Environmental Pollution. 188. 109–117. 42 indexed citations

Reche, Cristina, Mar Viana, Angeliki Karanasiou, et al.. (2014). Urban NH3 levels and sources in six major Spanish cities. Chemosphere. 119. 769–777. 50 indexed citations

Molero, Francisco, Alfonso Fernández, M. C. Parrondo, et al.. (2014). Study of vertically resolved aerosol properties over an urban background site in Madrid (Spain). International Journal of Remote Sensing. 35(6). 2311–2326. 9 indexed citations

Mirante, Fátima, Célia Alves, Casimiro Pio, et al.. (2013). Organic composition of size segregated atmospheric particulate matter, during summer and winter sampling campaigns at representative sites in Madrid, Spain. Atmospheric Research. 132-133. 345–361. 60 indexed citations

10.

Jorba, Oriol, Marco Pandolfi, J. M. Baldasano, et al.. (2013). Overview of the meteorology and transport patterns during the DAURE field campaign and their impact to PM observations. Atmospheric Environment. 77. 607–620. 18 indexed citations

11.

Mirante, Fátima, Pedro Salvador, Casimiro Pio, et al.. (2013). Size fractionated aerosol composition at roadside and background environments in the Madrid urban atmosphere. Atmospheric Research. 138. 278–292. 37 indexed citations

12.

Revuelta, M.A., Roy M. Harrison, L. Núñez, et al.. (2012). Comparison of temporal features of sulphate and nitrate at urban and rural sites in Spain and the UK. Atmospheric Environment. 60. 383–391. 23 indexed citations

13.

Fernández‐Gálvez, Jesús, Juan Luís Guerrero-Rascado, Francisco Molero, et al.. (2012). Aerosol size distribution from inversion of solar radiances and measured at ground-level during SPALI10 campaign. Atmospheric Research. 127. 130–140. 12 indexed citations

14.

Jorba, Oriol, Marco Pandolfi, J. M. Baldasano, et al.. (2011). The DAURE field campaign: meteorological overview. QRU Quaderns de Recerca en Urbanisme. 13 indexed citations

15.

Revuelta, M.A., Mariano Sastre, Alfonso Fernández, et al.. (2011). Characterization of the Eyjafjallajökull volcanic plume over the Iberian Peninsula by lidar remote sensing and ground-level data collection. Atmospheric Environment. 48. 46–55. 25 indexed citations

16.

Climent‐Font, A., et al.. (1996). Study of urban aerosol particles by XPS and PIXE. Journal of Aerosol Science. 27. S15–S16. 1 indexed citations

17.

Revuelta, M.A., et al.. (1985). A model for the estimation of precipitable water. Tellus B. 37(4-5). 210–210. 2 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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