Emmanouil Proestakis

1.9k total citations
41 papers, 877 citations indexed

About

Emmanouil Proestakis is a scholar working on Atmospheric Science, Global and Planetary Change and Earth-Surface Processes. According to data from OpenAlex, Emmanouil Proestakis has authored 41 papers receiving a total of 877 indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Atmospheric Science, 37 papers in Global and Planetary Change and 6 papers in Earth-Surface Processes. Recurrent topics in Emmanouil Proestakis's work include Atmospheric aerosols and clouds (37 papers), Atmospheric chemistry and aerosols (36 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). Emmanouil Proestakis is often cited by papers focused on Atmospheric aerosols and clouds (37 papers), Atmospheric chemistry and aerosols (36 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). Emmanouil Proestakis collaborates with scholars based in Greece, Germany and Switzerland. Emmanouil Proestakis's co-authors include Vassilis Amiridis, Eleni Marinou, Stelios Kazadzis, Antonis Gkikas, Aristeidis K. Georgoulias, Georgia Alexandri, Ronald van der A, Gerrit de Leeuw, Konstantinos Kourtidis and Stavros Solomos and has published in prestigious journals such as SHILAP Revista de lepidopterología, Remote Sensing of Environment and Atmospheric Environment.

In The Last Decade

Emmanouil Proestakis

38 papers receiving 868 citations

Peers

Emmanouil Proestakis
Antonis Gkikas Greece
Pradeep Khatri Japan
Bernhard Pospichal Germany
J. W. Hair United States
Xuehua Fan China
Allison McComiskey United States
Joel S. Schafer United States
Martin Stengel Germany
N. T. O’Neill Canada
Maki Kikuchi Japan
Antonis Gkikas Greece
Emmanouil Proestakis
Citations per year, relative to Emmanouil Proestakis Emmanouil Proestakis (= 1×) peers Antonis Gkikas

Countries citing papers authored by Emmanouil Proestakis

Since Specialization
Citations

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

Fields of papers citing papers by Emmanouil Proestakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emmanouil Proestakis

This figure shows the co-authorship network connecting the top 25 collaborators of Emmanouil Proestakis. A scholar is included among the top collaborators of Emmanouil Proestakis 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 Emmanouil Proestakis. Emmanouil Proestakis 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
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2.
Proestakis, Emmanouil, Antonis Gkikas, Claire L. Ryder, et al.. (2024). A near-global multiyear climate data record of the fine-mode and coarse-mode components of atmospheric pure dust. Atmospheric measurement techniques. 17(12). 3625–3667. 6 indexed citations
3.
Fountoulakis, Ilias, Alexandra Tsekeri, Stelios Kazadzis, et al.. (2024). A sensitivity study on radiative effects due to the parameterization of dust optical properties in models. Atmospheric chemistry and physics. 24(8). 4915–4948. 2 indexed citations
4.
Papachristopoulou, Kyriakoula, Ilias Fountoulakis, Stelios Kazadzis, et al.. (2024). Assessing Lidar Ratio Impact on CALIPSO Retrievals Utilized for the Estimation of Aerosol SW Radiative Effects across North Africa, the Middle East, and Europe. Remote Sensing. 16(10). 1689–1689. 2 indexed citations
5.
Ryder, Claire L., Helen Dacre, Rory Clarkson, et al.. (2024). Aircraft engine dust ingestion at global airports. Natural hazards and earth system sciences. 24(7). 2263–2284. 8 indexed citations
6.
Gkikas, Antonis, Anna Gialitaki, Ioannis Binietoglou, et al.. (2023). First assessment of Aeolus Standard Correct Algorithm particle backscatter coefficient retrievals in the eastern Mediterranean. Atmospheric measurement techniques. 16(4). 1017–1042. 5 indexed citations
7.
8.
Amiridis, Vassilis, Stavros Solomos, Ioannis Binietoglou, et al.. (2023). Inversion Techniques on Etna’s Volcanic Emissions and the Impact of Aeolus on Quantitative Dispersion Modeling. SHILAP Revista de lepidopterología. 187–187. 1 indexed citations
9.
Gkikas, Antonis, Georgios Papangelis, T. Christoudias, et al.. (2023). The impact of using assimilated Aeolus wind data on regional WRF-Chem dust simulations. Atmospheric chemistry and physics. 23(7). 4391–4417. 4 indexed citations
10.
Amiridis, Vassilis, Alexandra Tsekeri, Antonis Gkikas, et al.. (2022). Modeling coarse and giant desert dust particles. Atmospheric chemistry and physics. 22(18). 12727–12748. 16 indexed citations
11.
Cvetković, Bojan, Pavla Dagsson‐Waldhauserová, Ólafur Arnalds, et al.. (2022). Fully Dynamic High–Resolution Model for Dispersion of Icelandic Airborne Mineral Dust. Atmosphere. 13(9). 1345–1345. 7 indexed citations
12.
Escribano, Jerónimo, Enza Di Tomaso, Oriol Jorba, et al.. (2022). Assimilating spaceborne lidar dust extinction can improve dust forecasts. Atmospheric chemistry and physics. 22(1). 535–560. 9 indexed citations
13.
Gkikas, Antonis, Emmanouil Proestakis, Vassilis Amiridis, et al.. (2022). Quantification of the dust optical depth across spatiotemporal scales with the MIDAS global dataset (2003–2017). Atmospheric chemistry and physics. 22(5). 3553–3578. 30 indexed citations
14.
Gkikas, Antonis, Emmanouil Proestakis, Vassilis Amiridis, et al.. (2021). ModIs Dust AeroSol (MIDAS): a global fine-resolution dust optical depth data set. Atmospheric measurement techniques. 14(1). 309–334. 73 indexed citations
15.
Gkikas, Antonis, Emmanouil Proestakis, Vassilis Amiridis, et al.. (2021). Quantification of the dust optical depth across spatiotemporal scales with the MIDAS global dataset (2003–2017). 5 indexed citations
16.
Escribano, Jerónimo, Enza Di Tomaso, Oriol Jorba, et al.. (2021). Assimilating spaceborne lidar dust extinction improves dust forecasts. 2 indexed citations
17.
Sogacheva, Larisa, Gerrit de Leeuw, Edith Rodríguez, et al.. (2018). Spatial and seasonal variations of aerosols over China from two decades of multi-satellite observations – Part 1: ATSR (1995–2011) and MODIS C6.1 (2000–2017). Atmospheric chemistry and physics. 18(15). 11389–11407. 62 indexed citations
18.
Leeuw, Gerrit de, Larisa Sogacheva, Edith Rodríguez, et al.. (2018). Two decades of satellite observations of AOD over mainland China using ATSR-2, AATSR and MODIS/Terra: data set evaluation and large-scale patterns. Atmospheric chemistry and physics. 18(3). 1573–1592. 109 indexed citations
19.
Proestakis, Emmanouil, Vassilis Amiridis, Eleni Marinou, et al.. (2018). Nine-year spatial and temporal evolution of desert dust aerosols over South and East Asia as revealed by CALIOP. Atmospheric chemistry and physics. 18(2). 1337–1362. 124 indexed citations
20.
Kosmopoulos, Panagiotis, Stelios Kazadzis, Michael Taylor, et al.. (2017). Dust impact on surface solar irradiance assessed with model simulations, satellite observations and ground-based measurements. Atmospheric measurement techniques. 10(7). 2435–2453. 95 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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