Daniele Bortoli

2.6k total citations
97 papers, 990 citations indexed

About

Daniele Bortoli is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Daniele Bortoli has authored 97 papers receiving a total of 990 indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Atmospheric Science, 72 papers in Global and Planetary Change and 11 papers in Environmental Engineering. Recurrent topics in Daniele Bortoli's work include Atmospheric chemistry and aerosols (71 papers), Atmospheric Ozone and Climate (54 papers) and Atmospheric and Environmental Gas Dynamics (42 papers). Daniele Bortoli is often cited by papers focused on Atmospheric chemistry and aerosols (71 papers), Atmospheric Ozone and Climate (54 papers) and Atmospheric and Environmental Gas Dynamics (42 papers). Daniele Bortoli collaborates with scholars based in Portugal, Italy and Spain. Daniele Bortoli's co-authors include Ana Maria Silva, María João Costa, Pavan S. Kulkarni, G. Giovanelli, Ivan Kostadinov, F. Ravegnani, A. Petritoli, Rui Salgado, Juan Luís Guerrero-Rascado and Lucas Alados‐Arboledas and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Geophysical Research Atmospheres and Remote Sensing of Environment.

In The Last Decade

Daniele Bortoli

91 papers receiving 954 citations

Peers

Daniele Bortoli

GPC

HTM

SPECT

F. Angelini Italy

Omaira García Spain

Dominique Ruffieux Switzerland

Everette Joseph United States

R. Hoff United States

R. M. Mitchell Australia

Carole J. Hahn United States

Glen Jaross United States

C. J. Seftor United States

Alexander Mangold Belgium

F. Angelini Italy

Daniele Bortoli

794 ×1.0

677 ×1.0

GPC

161 ×0.9

313 ×1.7

HTM

25 ×0.6

SPECT

Citations per year, relative to Daniele Bortoli Daniele Bortoli (= 1×) peers F. Angelini

Countries citing papers authored by Daniele Bortoli

Since Specialization

Citations

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

Fields of papers citing papers by Daniele Bortoli

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Bortoli

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Bortoli. A scholar is included among the top collaborators of Daniele Bortoli 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 Daniele Bortoli. Daniele Bortoli 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

Couto, Flavio T., Filippe L.M. Santos, Paulo Pinto, et al.. (2025). Assessing wildfire dynamics during a megafire in Portugal using the MesoNH / ForeFire coupled model. Quarterly Journal of the Royal Meteorological Society. 152(775). 1 indexed citations

Córdoba‐Jabonero, Carmen, Michaël Sicard, Vanda Salgueiro, et al.. (2025). Fine and coarse dust radiative impact during an intense Saharan dust outbreak over the Iberian Peninsula – short-wave direct radiative effect. Atmospheric chemistry and physics. 25(5). 3213–3231. 1 indexed citations

Moreira, Gregori de Arruda, Samara Carbone, Fábio Lopes, et al.. (2025). Monthly Convective Boundary Layer Height Study over Brazil Using Radiosonde, ERA5, and COSMIC-2 Data. Remote Sensing. 17(22). 3672–3672.

Tlemçani, Mouhaydine, et al.. (2024). The Development of a Novel Nitrate Portable Measurement System Based on a UV Paired Diode–Photodiode. Sensors. 24(16). 5367–5367.

Lúcio, Paulo Sérgio, María João Costa, Vanda Salgueiro, et al.. (2023). Pollutant-meteorological factors and cardio-respiratory mortality in Portugal: Seasonal variability and associations. Environmental Research. 240(Pt 2). 117491–117491. 4 indexed citations

Salgueiro, Vanda, María João Costa, Paulo Sérgio Lúcio, et al.. (2023). Fire‐Pollutant‐Atmosphere Components and Its Impact on Mortality in Portugal During Wildfire Seasons. GeoHealth. 7(10). e2023GH000802–e2023GH000802. 5 indexed citations

Donateo, Antonio, et al.. (2022). Analysis of NO2 and O3 Total Columns from DOAS Zenith-Sky Measurements in South Italy. Remote Sensing. 14(21). 5541–5541. 4 indexed citations

Koukouli, Maria-Elissavet, Νικόλαος Σιώμος, Dimitris Balis, et al.. (2021). First validation of GOME-2/MetOp absorbing aerosol height using EARLINET lidar observations. Atmospheric chemistry and physics. 21(4). 3193–3213. 4 indexed citations

Guerrero-Rascado, Juan Luís, María João Costa, Juan Antonio Bravo-Aranda, et al.. (2021). Statistical validation of Aeolus L2A particle backscatter coefficient retrievals over ACTRIS/EARLINET stations in the Iberian Peninsula. 2 indexed citations

10.

Vivone, Gemine, Giuseppe D’Amico, Donato Summa, et al.. (2021). Atmospheric boundary layer height estimation from aerosol lidar: a new approach based on morphological image processing techniques. Atmospheric chemistry and physics. 21(6). 4249–4265. 36 indexed citations

11.

Sharma, Ashish, et al.. (2015). Nocturnal surface ozone enhancement over Portugal: Influence of different atmospheric conditions. AGU Fall Meeting Abstracts. 2015. 1 indexed citations

12.

Palazzi, Elisa, et al.. (2012). MOCRA: a Monte Carlo code for the simulation of radiative transfer in the atmosphere. Optics Express. 20(7). 7973–7973. 15 indexed citations

13.

Ghude, Sachin D., Santosh H. Kulkarni, Pavan S. Kulkarni, et al.. (2011). Anomalous low tropospheric column ozone over Eastern India during the severe drought event of monsoon 2002: a case study. Environmental Science and Pollution Research. 18(8). 1442–1455. 19 indexed citations

14.

Costa, María João, et al.. (2009). Modelling of orographic precipitation over Portugal and effects on the surrounding regions. EGU General Assembly Conference Abstracts. 10618. 1 indexed citations

15.

Werner, R., Ivan Kostadinov, G. Giovanelli, et al.. (2006). Study of Atmospheric Trace Gas Amounts at the Stara Zagora Ground-Based Station. 1(1). 43–46. 1 indexed citations

16.

Palazzi, Elisa, et al.. (2004). PROMSAR: a multiple scattering atmospheric model for the analysis of DOAS remote sensing measurements. 35. 2487. 2 indexed citations

17.

Kostadinov, Ivan, A. Petritoli, R. Werner, et al.. (2004). VALIDATION OF SCIAMACHY NO 2 VERTICAL COLUMN DENSITIES WITH MT.CIMONE AND STARA ZAGORA GROUND-BASED ZENITH SKY DOAS OBSERVATIONS. ESASP. 562. 4 indexed citations

18.

Petritoli, A., G. Giovanelli, Ivan Kostadinov, et al.. (2003). SCIAMACHY Validation of NO2 Total Column by Means of Ground-based DOAS Measurements at Mt. Cimone (44N, 11E) and Stara Zagora (42N, 25E) Stations (AOID1103). ESASP. 531. 2 indexed citations

19.

Kostadinov, Ivan, et al.. (2003). COMBINED In SITU and QUASI In SITU MEASUREMENTS ABOARD M55 GEOPHYSICA STRATOSPHERIC AIRCRAFT DEDICATED FOR ENVISAT SATELLITE DATA VALIDATION. ESA Special Publication. 531. 1 indexed citations

20.

Heland, J., Hans Schlager, C. Schiller, et al.. (2003). Validation of MIPAS on ENVISAT by In Situ Instruments on the M55-Geophysica. ESASP. 531. 5 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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