Evdokia Tapoglou

410 total citations
17 papers, 313 citations indexed

About

Evdokia Tapoglou is a scholar working on Environmental Engineering, Water Science and Technology and Global and Planetary Change. According to data from OpenAlex, Evdokia Tapoglou has authored 17 papers receiving a total of 313 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Environmental Engineering, 6 papers in Water Science and Technology and 4 papers in Global and Planetary Change. Recurrent topics in Evdokia Tapoglou's work include Hydrological Forecasting Using AI (6 papers), Hydrology and Watershed Management Studies (6 papers) and Groundwater flow and contamination studies (3 papers). Evdokia Tapoglou is often cited by papers focused on Hydrological Forecasting Using AI (6 papers), Hydrology and Watershed Management Studies (6 papers) and Groundwater flow and contamination studies (3 papers). Evdokia Tapoglou collaborates with scholars based in Greece, United Kingdom and Italy. Evdokia Tapoglou's co-authors include Ioannis K. Tsanis, George P. Karatzas, Ioannis Trichakis, Emmanouil Α. Varouchakis, Ioannis K. Nikolos, Zoi Dokou, Dimitrios D. Alexakis, R. M. Dorrell, Daniel R. Parsons and Xiandong Ma and has published in prestigious journals such as Remote Sensing of Environment, Journal of Hydrology and Remote Sensing.

In The Last Decade

Evdokia Tapoglou

16 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evdokia Tapoglou Greece 10 134 121 103 60 37 17 313
Recep Yurtal Türkiye 10 123 0.9× 134 1.1× 148 1.4× 62 1.0× 25 0.7× 25 368
Necati Ağıralioğlu Türkiye 10 86 0.6× 183 1.5× 153 1.5× 59 1.0× 38 1.0× 40 404
Xiaohui Yan Canada 15 147 1.1× 163 1.3× 166 1.6× 24 0.4× 57 1.5× 43 492
Rafael García-Bartual Spain 12 105 0.8× 187 1.5× 229 2.2× 28 0.5× 66 1.8× 29 498
Qingfeng Ji China 9 95 0.7× 134 1.1× 83 0.8× 30 0.5× 23 0.6× 29 282
Md Azlin Md Said Malaysia 10 103 0.8× 133 1.1× 46 0.4× 46 0.8× 15 0.4× 34 359
Xueping Zhu China 12 133 1.0× 260 2.1× 186 1.8× 162 2.7× 42 1.1× 40 480
Negin Behnia Iran 6 224 1.7× 145 1.2× 101 1.0× 29 0.5× 13 0.4× 13 330
Jasna Plavšić Serbia 13 129 1.0× 201 1.7× 287 2.8× 46 0.8× 32 0.9× 35 407
Ammar Hatem Kamel Iraq 11 190 1.4× 121 1.0× 112 1.1× 53 0.9× 17 0.5× 31 373

Countries citing papers authored by Evdokia Tapoglou

Since Specialization
Citations

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

Fields of papers citing papers by Evdokia Tapoglou

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evdokia Tapoglou

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

All Works

17 of 17 papers shown
1.
Tapoglou, Evdokia, et al.. (2025). Global evaluation of wave data reanalysis: Comparison of the ERA5 dataset to buoy observations. Applied Ocean Research. 157. 104490–104490. 2 indexed citations
2.
Sheng, Wanan, Evdokia Tapoglou, Xiandong Ma, et al.. (2022). Time-Domain Implementation and Analyses of Multi-Motion Modes of Floating Structures. Journal of Marine Science and Engineering. 10(5). 662–662. 6 indexed citations
3.
Sheng, Wanan, Evdokia Tapoglou, Xiandong Ma, et al.. (2022). Hydrodynamic studies of floating structures: Comparison of wave-structure interaction modelling. Ocean Engineering. 249. 110878–110878. 26 indexed citations
4.
Tapoglou, Evdokia, Rodney Forster, R. M. Dorrell, & Daniel R. Parsons. (2021). Machine learning for satellite-based sea-state prediction in an offshore windfarm. Ocean Engineering. 235. 109280–109280. 10 indexed citations
5.
Medina-López, Encarni, David McMillan, Edward Hart, et al.. (2021). Satellite data for the offshore renewable energy sector: Synergies and innovation opportunities. Remote Sensing of Environment. 264. 112588–112588. 24 indexed citations
6.
Tapoglou, Evdokia, et al.. (2019). Climate Change Impact on the Frequency of Hydrometeorological Extremes in the Island of Crete. Water. 11(3). 587–587. 24 indexed citations
7.
8.
Tapoglou, Evdokia, Emmanouil Α. Varouchakis, Ioannis Trichakis, & George P. Karatzas. (2019). Hydraulic head uncertainty estimations of a complex artificial intelligence model using multiple methodologies. Journal of Hydroinformatics. 22(1). 205–218. 9 indexed citations
9.
Tsanis, Ioannis K. & Evdokia Tapoglou. (2018). Winter North Atlantic Oscillation impact on European precipitation and drought under climate change. Theoretical and Applied Climatology. 135(1-2). 323–330. 30 indexed citations
10.
Tapoglou, Evdokia, et al.. (2018). Hydrometeorological impact of climate change in two Mediterranean basins. International Journal of River Basin Management. 16(2). 245–257. 15 indexed citations
11.
Tapoglou, Evdokia, Emmanouil Α. Varouchakis, & George P. Karatzas. (2018). Uncertainty Estimations in Different Components of a Hybrid ANN - Fuzzy - Kriging Model for Water Table Level Simulation. EPiC series in engineering. 3. 2042–2032. 2 indexed citations
12.
Tsanis, Ioannis K. & Evdokia Tapoglou. (2017). North Atlantic Oscillation and Precipitation correlation in Europe under climate change. EGU General Assembly Conference Abstracts. 17431. 1 indexed citations
13.
Tapoglou, Evdokia, George P. Karatzas, Ioannis Trichakis, & Emmanouil Α. Varouchakis. (2015). Uncertainty analysis of a combined Artificial Neural Network - Fuzzy logic - Kriging system for spatial and temporal simulation of Hydraulic Head.. EGU General Assembly Conference Abstracts. 407. 1 indexed citations
14.
Tapoglou, Evdokia, George P. Karatzas, Ioannis Trichakis, & Emmanouil Α. Varouchakis. (2014). Temporal and Spatial prediction of groundwater levels using Artificial Neural Networks, Fuzzy logic and Kriging interpolation.. EGU General Assembly Conference Abstracts. 773. 1 indexed citations
15.
Tapoglou, Evdokia, George P. Karatzas, Ioannis Trichakis, & Emmanouil Α. Varouchakis. (2014). A spatio-temporal hybrid neural network-Kriging model for groundwater level simulation. Journal of Hydrology. 519. 3193–3203. 80 indexed citations
16.
Tapoglou, Evdokia, Ioannis Trichakis, Zoi Dokou, Ioannis K. Nikolos, & George P. Karatzas. (2013). Groundwater-level forecasting under climate change scenarios using an artificial neural network trained with particle swarm optimization. Hydrological Sciences Journal. 59(6). 1225–1239. 46 indexed citations
17.
Tapoglou, Evdokia, Ioannis Trichakis, Zoi Dokou, & George P. Karatzas. (2012). Groundwater level forecasting using an artificial neural network trained with particle swarm optimization.. EGU General Assembly Conference Abstracts. 2405. 1 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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