Ioannis Trichakis

548 total citations
26 papers, 395 citations indexed

About

Ioannis Trichakis is a scholar working on Environmental Engineering, Water Science and Technology and Artificial Intelligence. According to data from OpenAlex, Ioannis Trichakis has authored 26 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Environmental Engineering, 13 papers in Water Science and Technology and 4 papers in Artificial Intelligence. Recurrent topics in Ioannis Trichakis's work include Hydrological Forecasting Using AI (13 papers), Hydrology and Watershed Management Studies (10 papers) and Groundwater flow and contamination studies (5 papers). Ioannis Trichakis is often cited by papers focused on Hydrological Forecasting Using AI (13 papers), Hydrology and Watershed Management Studies (10 papers) and Groundwater flow and contamination studies (5 papers). Ioannis Trichakis collaborates with scholars based in Italy, Greece and Spain. Ioannis Trichakis's co-authors include George P. Karatzas, Ioannis K. Nikolos, Evdokia Tapoglou, Emmanouil Α. Varouchakis, Zoi Dokou, Alberto Pistocchi, Ad de Roo, Berny Bisselink, Peter Burek and Bernd Manfred Gawlik and has published in prestigious journals such as Nature Communications, Journal of Hydrology and Sustainability.

In The Last Decade

Ioannis Trichakis

23 papers receiving 381 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ioannis Trichakis Italy 10 280 229 107 54 40 26 395
Fariborz Yosefvand Iran 12 187 0.7× 187 0.8× 81 0.8× 55 1.0× 34 0.8× 36 338
Zahra Kayhomayoon Iran 12 222 0.8× 156 0.7× 89 0.8× 72 1.3× 29 0.7× 19 324
Ammar Hatem Kamel Iraq 11 190 0.7× 121 0.5× 112 1.0× 53 1.0× 31 0.8× 31 373
Farnaz Daneshvar Vousoughi Iran 7 241 0.9× 182 0.8× 147 1.4× 24 0.4× 30 0.8× 13 348
Purna Chandra Nayak India 8 324 1.2× 266 1.2× 153 1.4× 43 0.8× 49 1.2× 12 425
Mohammad Isazadeh Iran 7 280 1.0× 218 1.0× 106 1.0× 31 0.6× 68 1.7× 10 458
Sandra M. Guzmán United States 10 240 0.9× 218 1.0× 168 1.6× 41 0.8× 34 0.8× 35 445
Lakhdar Djemili Algeria 11 160 0.6× 155 0.7× 133 1.2× 37 0.7× 54 1.4× 27 376
Padala Raja Shekar India 14 322 1.1× 216 0.9× 196 1.8× 41 0.8× 32 0.8× 34 470
Emery A. Coppola United States 8 421 1.5× 305 1.3× 122 1.1× 89 1.6× 75 1.9× 13 539

Countries citing papers authored by Ioannis Trichakis

Since Specialization
Citations

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

Fields of papers citing papers by Ioannis Trichakis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ioannis Trichakis

This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Trichakis. A scholar is included among the top collaborators of Ioannis Trichakis 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 Ioannis Trichakis. Ioannis Trichakis 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.
Macías, Diego, Berny Bisselink, César Carmona‐Moreno, et al.. (2025). The overlooked impacts of freshwater scarcity on oceans as evidenced by the Mediterranean Sea. Nature Communications. 16(1). 998–998. 5 indexed citations
2.
3.
Trichakis, Ioannis, et al.. (2024). Using Artificial Neural Networks to Predict Operational Parameters of a Drinking Water Treatment Plant (DWTP). Water. 16(19). 2863–2863. 3 indexed citations
4.
Usamentiaga, Rubén, et al.. (2024). Evaluation of multispectral data for recent manure application: A case study in northern Spain. Ecological Indicators. 158. 111550–111550. 2 indexed citations
5.
Usamentiaga, Rubén, et al.. (2023). Remote sensing for detecting freshly manured fields. Ecological Informatics. 75. 102006–102006. 6 indexed citations
6.
7.
Trichakis, Ioannis, et al.. (2022). Artificial Neural Networks and Multiple Linear Regression for Filling in Missing Daily Rainfall Data. Water. 14(18). 2892–2892. 17 indexed citations
8.
Trichakis, Ioannis, et al.. (2022). A Narrative-Driven Role-Playing Game for Raising Flood Awareness. Sustainability. 14(1). 554–554. 6 indexed citations
9.
Varouchakis, Emmanouil Α., et al.. (2022). An integrated method to study and plan aquifer recharge. Hydrology research. 54(1). 1–13. 6 indexed citations
10.
Trichakis, Ioannis, et al.. (2022). Modeling Groundwater Nitrate Contamination Using Artificial Neural Networks. Water. 14(7). 1173–1173. 17 indexed citations
11.
Trichakis, Ioannis, et al.. (2022). Flood risk assessment and flow modeling of the Stalos stream area. Journal of Hydroinformatics. 24(3). 677–696. 6 indexed citations
12.
13.
Karatzas, George P., Ioannis Trichakis, Emmanouil Α. Varouchakis, et al.. (2021). Living Labs towards sustainable groundwater management: case study in Malia, Crete, Greece. Zenodo (CERN European Organization for Nuclear Research). 1 indexed citations
14.
Trichakis, Ioannis, Peter Burek, Ad de Roo, & Alberto Pistocchi. (2017). Towards a Pan-European Integrated Groundwater and Surface Water Model: Development and Applications. Environmental Processes. 4(S1). 81–93. 16 indexed citations
15.
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
16.
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
17.
Roo, Ad de, Peter Burek, F. Bouraoui, et al.. (2014). Large scale hydro-economic modelling for policy support. EGU General Assembly Conference Abstracts. 2951. 1 indexed citations
18.
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
19.
Trichakis, Ioannis, Ioannis K. Nikolos, & George P. Karatzas. (2010). Artificial Neural Network (ANN) Based Modeling for Karstic Groundwater Level Simulation. Water Resources Management. 25(4). 1143–1152. 84 indexed citations
20.
Trichakis, Ioannis, Ioannis K. Nikolos, & George P. Karatzas. (2009). Optimal selection of artificial neural network parameters for the prediction of a karstic aquifer's response. Hydrological Processes. 23(20). 2956–2969. 46 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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