Kostas Philippopoulos

907 total citations
32 papers, 664 citations indexed

About

Kostas Philippopoulos is a scholar working on Global and Planetary Change, Environmental Engineering and Atmospheric Science. According to data from OpenAlex, Kostas Philippopoulos has authored 32 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Global and Planetary Change, 15 papers in Environmental Engineering and 12 papers in Atmospheric Science. Recurrent topics in Kostas Philippopoulos's work include Climate variability and models (13 papers), Meteorological Phenomena and Simulations (10 papers) and Urban Heat Island Mitigation (7 papers). Kostas Philippopoulos is often cited by papers focused on Climate variability and models (13 papers), Meteorological Phenomena and Simulations (10 papers) and Urban Heat Island Mitigation (7 papers). Kostas Philippopoulos collaborates with scholars based in Greece, Cyprus and India. Kostas Philippopoulos's co-authors include Despina Deligiorgi, Chris G. Tzanis, Constantinos Cartalis, Jethro Browell, Daniel Drew, Eleni G. Papazoglou, Konstantina Vasilakopoulou, M. Santamouris, Ansar Khan and Georgios K. Nikolopoulos and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Environmental Pollution.

In The Last Decade

Kostas Philippopoulos

31 papers receiving 642 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kostas Philippopoulos Greece 14 332 213 213 134 132 32 664
Despina Deligiorgi Greece 15 463 1.4× 293 1.4× 328 1.5× 351 2.6× 124 0.9× 36 894
Massimo D’Isidoro Italy 14 172 0.5× 247 1.2× 258 1.2× 404 3.0× 19 0.1× 40 790
Kryštof Eben Czechia 11 312 0.9× 166 0.8× 103 0.5× 126 0.9× 33 0.3× 31 534
Kasım Koçak Türkiye 12 229 0.7× 24 0.1× 185 0.9× 80 0.6× 106 0.8× 23 501
Goutami Chattopadhyay India 15 334 1.0× 72 0.3× 286 1.3× 172 1.3× 56 0.4× 40 635
Thomas Plocoste France 15 253 0.8× 239 1.1× 207 1.0× 163 1.2× 106 0.8× 37 478
Alessandro Fassò Italy 16 257 0.8× 169 0.8× 146 0.7× 109 0.8× 135 1.0× 74 568
Yu Wu China 24 256 0.8× 608 2.9× 657 3.1× 924 6.9× 39 0.3× 74 1.3k
Mariano Sastre Spain 16 340 1.0× 162 0.8× 440 2.1× 532 4.0× 11 0.1× 43 768
Yannic Lops United States 15 591 1.8× 494 2.3× 284 1.3× 415 3.1× 22 0.2× 26 841

Countries citing papers authored by Kostas Philippopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Kostas Philippopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kostas Philippopoulos

This figure shows the co-authorship network connecting the top 25 collaborators of Kostas Philippopoulos. A scholar is included among the top collaborators of Kostas Philippopoulos 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 Kostas Philippopoulos. Kostas Philippopoulos 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.
Philippopoulos, Kostas, et al.. (2023). An extreme wind speed climatology – Atmospheric driver identification using neural networks. The Science of The Total Environment. 875. 162590–162590. 4 indexed citations
2.
Philippopoulos, Kostas, et al.. (2023). A novel artificial neural network methodology to produce high-resolution bioclimatic maps using Earth Observation data: A case study for Cyprus. The Science of The Total Environment. 893. 164734–164734. 4 indexed citations
3.
Evelpıdou, Niki, et al.. (2023). A GIS-Based Assessment of Flood Hazard through Track Records over the 1886–2022 Period in Greece. Climate. 11(11). 226–226. 7 indexed citations
4.
Tzanis, Chris G., et al.. (2023). Assessing the Climate Change Sensitivity of Greek Ecosystems to Wildfires. SHILAP Revista de lepidopterología. 30–30. 1 indexed citations
5.
Philippopoulos, Kostas, et al.. (2023). Internal Climate Variability and Extreme Temperatures over the Mediterranean. SHILAP Revista de lepidopterología. 57–57. 1 indexed citations
6.
Cartalis, Constantinos, et al.. (2023). Climate Change Impact Assessment on Ski Tourism in Greece: Case Study of the Parnassos Ski Resort. Climate. 11(7). 140–140. 7 indexed citations
7.
Khan, Ansar, Eleni G. Papazoglou, Constantinos Cartalis, et al.. (2022). On the mitigation potential and urban climate impact of increased green infrastructures in a coastal mediterranean city. Building and Environment. 221. 109264–109264. 28 indexed citations
8.
Cartalis, Constantinos, et al.. (2022). A Methodology for Bridging the Gap between Regional- and City-Scale Climate Simulations for the Urban Thermal Environment. Climate. 10(7). 106–106. 3 indexed citations
9.
Tzanis, Chris G., et al.. (2022). Nonlinear Autoregressive Neural Networks for Air Temperature forecasting. 1 indexed citations
10.
Tzanis, Chris G., et al.. (2020). Multifractal Detrended Cross-Correlation Analysis of Global Methane and Temperature. Remote Sensing. 12(3). 557–557. 28 indexed citations
11.
Tzanis, Chris G., et al.. (2019). Analysis of a severe air pollution episode in India during Diwali festival – a nationwide approach. Atmósfera. 32(3). 225–236. 25 indexed citations
12.
Tzanis, Chris G., et al.. (2019). Distribution of Air Temperature Multifractal Characteristics Over Greece. Atmosphere. 10(2). 45–45. 34 indexed citations
13.
Browell, Jethro, Daniel Drew, & Kostas Philippopoulos. (2018). Improved very short‐term spatio‐temporal wind forecasting using atmospheric regimes. Wind Energy. 21(11). 968–979. 39 indexed citations
14.
Tzanis, Chris G., et al.. (2018). Long-term climate trends of temperature and water vapor from surface and upper-air data over Greece. EGU General Assembly Conference Abstracts. 10122. 1 indexed citations
15.
Tzanis, Chris G., et al.. (2018). Applying linear and nonlinear models for the estimation of particulate matter variability. Environmental Pollution. 246. 89–98. 38 indexed citations
16.
Philippopoulos, Kostas, et al.. (2018). Spatial estimation of urban air pollution with the use of artificial neural network models. Atmospheric Environment. 191. 205–213. 165 indexed citations
17.
Philippopoulos, Kostas, Despina Deligiorgi, & Γεώργιος Κουρουπέτρογλου. (2014). An artificial neural network approach for the forecast of ambient air temperature. EGU General Assembly Conference Abstracts. 11446. 2 indexed citations
18.
Philippopoulos, Kostas, et al.. (2014). Winter atmospheric circulation patterns and their relationship with the meteorological conditions in Greece. Meteorology and Atmospheric Physics. 124(3-4). 195–204. 4 indexed citations
19.
Philippopoulos, Kostas, et al.. (2012). The impact of sea breeze under different synoptic patterns on air pollution within Athens basin. The Science of The Total Environment. 433. 31–43. 32 indexed citations
20.
Philippopoulos, Kostas & Despina Deligiorgi. (2011). Application of artificial neural networks for the spatial estimation of wind speed in a coastal region with complex topography. Renewable Energy. 38(1). 75–82. 77 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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2026