Luis E. Olcese

456 total citations
23 papers, 392 citations indexed

About

Luis E. Olcese is a scholar working on Atmospheric Science, Environmental Engineering and Health, Toxicology and Mutagenesis. According to data from OpenAlex, Luis E. Olcese has authored 23 papers receiving a total of 392 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Atmospheric Science, 12 papers in Environmental Engineering and 10 papers in Health, Toxicology and Mutagenesis. Recurrent topics in Luis E. Olcese's work include Atmospheric chemistry and aerosols (15 papers), Air Quality and Health Impacts (10 papers) and Air Quality Monitoring and Forecasting (8 papers). Luis E. Olcese is often cited by papers focused on Atmospheric chemistry and aerosols (15 papers), Air Quality and Health Impacts (10 papers) and Air Quality Monitoring and Forecasting (8 papers). Luis E. Olcese collaborates with scholars based in Argentina, Spain and United States. Luis E. Olcese's co-authors include Beatriz M. Toselli, Gustavo G. Palancar, María Laura López, G. Tirao, Xavier Querol, Judith H. Rodriguez, Hebe Alejandra Carreras, Eduardo D. Wannaz, María L. Pignata and Guido N. Rimondino and has published in prestigious journals such as Environmental Pollution, Chemosphere and Atmospheric Environment.

In The Last Decade

Luis E. Olcese

23 papers receiving 386 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luis E. Olcese Argentina 13 221 213 131 125 50 23 392
Shweta Yadav India 13 299 1.4× 287 1.3× 111 0.8× 143 1.1× 40 0.8× 34 460
R. M. Bernabé Spain 4 267 1.2× 233 1.1× 76 0.6× 92 0.7× 54 1.1× 4 363
Saliou Mbengue Czechia 10 285 1.3× 197 0.9× 80 0.6× 52 0.4× 61 1.2× 14 360
Adriana Pietrodangelo Italy 11 357 1.6× 254 1.2× 178 1.4× 103 0.8× 58 1.2× 15 504
Américo A.F.S. Kerr Brazil 5 249 1.1× 141 0.7× 72 0.5× 51 0.4× 67 1.3× 9 317
Tong Sha China 14 272 1.2× 415 1.9× 121 0.9× 258 2.1× 43 0.9× 30 561
Silke Stopper Austria 6 317 1.4× 246 1.2× 174 1.3× 74 0.6× 99 2.0× 7 401
Shuping Situ China 9 324 1.5× 454 2.1× 168 1.3× 145 1.2× 76 1.5× 19 555
Ankit Tandon India 13 316 1.4× 336 1.6× 128 1.0× 148 1.2× 45 0.9× 29 454
J. Šakalys Lithuania 12 153 0.7× 175 0.8× 40 0.3× 151 1.2× 24 0.5× 21 385

Countries citing papers authored by Luis E. Olcese

Since Specialization
Citations

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

Fields of papers citing papers by Luis E. Olcese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luis E. Olcese

This figure shows the co-authorship network connecting the top 25 collaborators of Luis E. Olcese. A scholar is included among the top collaborators of Luis E. Olcese 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 Luis E. Olcese. Luis E. Olcese 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.
López, María Laura, et al.. (2020). PM2.5 monitoring during a 10-year period: relation between elemental concentration and meteorological conditions. Environmental Monitoring and Assessment. 192(5). 313–313. 14 indexed citations
2.
Olcese, Luis E., et al.. (2019). Accurate total solar irradiance estimates under irradiance measurements scarcity scenarios. Environmental Monitoring and Assessment. 191(9). 568–568. 7 indexed citations
3.
López, María Laura, et al.. (2019). Elemental composition of PM0.25 collected in an urban site of Argentina: A first case study. Spectrochimica Acta Part B Atomic Spectroscopy. 161. 105712–105712. 4 indexed citations
4.
Rimondino, Guido N., et al.. (2018). Latitudinal distribution of OCPs in the open ocean atmosphere between the Argentinian coast and Antarctic Peninsula. Environmental Science and Pollution Research. 25(13). 13004–13013. 6 indexed citations
5.
Olcese, Luis E., et al.. (2017). Analysis of PM2.5 in Córdoba, Argentina under the effects of the El Niño Southern Oscillation. Atmospheric Environment. 171. 49–58. 20 indexed citations
6.
Olcese, Luis E., et al.. (2017). An Improved Aerosol Optical Depth Map Based on Machine-Learning and MODIS Data: Development and Application in South America. Aerosol and Air Quality Research. 17(6). 1623–1636. 27 indexed citations
7.
Palancar, Gustavo G., et al.. (2016). Aerosol radiative forcing efficiency in the UV-B region over central Argentina. Atmospheric Research. 176-177. 1–9. 7 indexed citations
8.
Olcese, Luis E., et al.. (2016). A Method to Improve MODIS AOD Values: Application to South America. Aerosol and Air Quality Research. 16(6). 1509–1522. 23 indexed citations
9.
Olcese, Luis E., Gustavo G. Palancar, & Beatriz M. Toselli. (2015). A method to estimate missing AERONET AOD values based on artificial neural networks. Atmospheric Environment. 113. 140–150. 19 indexed citations
10.
Olcese, Luis E., Gustavo G. Palancar, & Beatriz M. Toselli. (2013). Aerosol optical properties in central Argentina. Journal of Aerosol Science. 68. 25–37. 14 indexed citations
11.
López, María Laura, et al.. (2011). Elemental concentration and source identification of PM10 and PM2.5 by SR-XRF in Córdoba City, Argentina. Atmospheric Environment. 45(31). 5450–5457. 89 indexed citations
12.
Carreras, Hebe Alejandra, Eduardo D. Wannaz, Judith H. Rodriguez, et al.. (2007). Field surveys for potential ozone bioindicator plant species in Argentina. Environmental Monitoring and Assessment. 138(1-3). 305–312. 6 indexed citations
13.
Olcese, Luis E. & Beatriz M. Toselli. (2005). Recovery of the histogram of hourly ozone distribution from weekly average concentrations. Environmental Pollution. 141(1). 81–89. 4 indexed citations
14.
Olcese, Luis E. & Beatriz M. Toselli. (2004). A method to estimate emission rates from industrial stacks based on neural networks. Chemosphere. 57(7). 691–696. 13 indexed citations
15.
Olcese, Luis E. & Beatriz M. Toselli. (2004). Simple modelling approaches to assess the impact of traffic air pollution: Cordoba case study. International Journal of Environment and Pollution. 22(4). 396–396. 4 indexed citations
16.
Olcese, Luis E. & Beatriz M. Toselli. (2004). Development of a model for reactive emissions from industrial stacks. Environmental Modelling & Software. 20(10). 1239–1250. 8 indexed citations
17.
Olcese, Luis E. & Beatriz M. Toselli. (2002). Some aspects of air pollution in Córdoba, Argentina. Atmospheric Environment. 36(2). 299–306. 51 indexed citations
18.
Olcese, Luis E., Gustavo G. Palancar, & Beatriz M. Toselli. (2001). An inexpensive method to estimate CO and NOx emissions from mobile sources. Atmospheric Environment. 35(35). 6213–6218. 15 indexed citations
19.
Olcese, Luis E. & Beatriz M. Toselli. (1998). Statistical analysis of PM10 measurements in Cordoba city, Argentina. Meteorology and Atmospheric Physics. 66(1-2). 123–130. 13 indexed citations
20.
Olcese, Luis E. & Beatriz M. Toselli. (1998). Unexpected High Levels of Ozone Measured in Córdoba, Argentina. Journal of Atmospheric Chemistry. 31(3). 269–279. 13 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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