Evdokia Tapoglou

438 citations
17 papers · 328 · h-index 10

Impact in

Papers in

Evdokia Tapoglou

16 papers receiving 317 citations

Peers

Evdokia Tapoglou
Comparison fields: 5 of 53
  • Environmental Engineering 135
  • Water Science and Technology 122
  • Global and Planetary Change 105
  • Earth-Surface Processes 27
  • Ocean Engineering 60
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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-authors

The 24 scholars most cited alongside Evdokia Tapoglou, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Evdokia Tapoglou Line = papers co-authored together Evdokia Tapoglou links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 201482
2 201346
3 201935
4 201832
5 202227
6 202126
7 201924
8 201816
9 202112
10 20199
11 20257
12 20226
13 20182
14
North Atlantic Oscillation and Precipitation correlation in Europe under climate change
20171
15
Uncertainty analysis of a combined Artificial Neural Network - Fuzzy logic - Kriging system for spatial and temporal simulation of Hydraulic Head.
20151
16
Temporal and Spatial prediction of groundwater levels using Artificial Neural Networks, Fuzzy logic and Kriging interpolation.
20141
17
Groundwater level forecasting using an artificial neural network trained with particle swarm optimization.
20121

About Evdokia Tapoglou

Evdokia Tapoglou is a scholar working on Environmental Engineering, Water Science and Technology, Global and Planetary Change, Oceanography and Ocean Engineering, having authored 17 papers that have together received 328 indexed citations. Recurring topics across this work include Hydrological Forecasting Using AI (6 papers), Hydrology and Watershed Management Studies (6 papers), Groundwater flow and contamination studies (3 papers), Ocean Waves and Remote Sensing (3 papers), Climate variability and models (3 papers), Oceanographic and Atmospheric Processes (3 papers), Hydrology and Drought Analysis (3 papers) and Tropical and Extratropical Cyclones Research (2 papers). The work is most often cited by research in Environmental Engineering (135 citations), Water Science and Technology (122 citations), Global and Planetary Change (105 citations), Earth-Surface Processes (27 citations) and Ocean Engineering (60 citations). Evdokia Tapoglou has collaborated with scholars based in Greece, United Kingdom and Italy. Frequent co-authors include Ioannis K. Tsanis, George P. Karatzas, Ioannis Trichakis, Emmanouil Α. Varouchakis, R. M. Dorrell, Dimitrios D. Alexakis, Zoi Dokou, Ioannis K. Nikolos, Daniel R. Parsons and George Aggidis. Their work appears in journals such as Ocean Engineering, Hydrological Sciences Journal, Journal of Hydrology, Remote Sensing and Water.

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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