Ioanna Ilia

3.2k total citations · 2 hit papers
44 papers, 2.5k citations indexed

About

Ioanna Ilia is a scholar working on Management, Monitoring, Policy and Law, Global and Planetary Change and Mechanical Engineering. According to data from OpenAlex, Ioanna Ilia has authored 44 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Management, Monitoring, Policy and Law, 24 papers in Global and Planetary Change and 11 papers in Mechanical Engineering. Recurrent topics in Ioanna Ilia's work include Landslides and related hazards (27 papers), Flood Risk Assessment and Management (17 papers) and Tree Root and Stability Studies (9 papers). Ioanna Ilia is often cited by papers focused on Landslides and related hazards (27 papers), Flood Risk Assessment and Management (17 papers) and Tree Root and Stability Studies (9 papers). Ioanna Ilia collaborates with scholars based in Greece, China and Austria. Ioanna Ilia's co-authors include Paraskevas Tsangaratos, Wei Chen, Haoyuan Hong, Chong Xu, A‐Xing Zhu, Junzhi Liu, Himan Shahabi, Constantinos Loupasakis, Baharin Bin Ahmad and Weifeng Xue and has published in prestigious journals such as The Science of The Total Environment, Scientific Reports and Journal of Hydrology.

In The Last Decade

Ioanna Ilia

42 papers receiving 2.5k citations

Hit Papers

Comparison of a logistic ... 2016 2026 2019 2022 2016 2017 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ioanna Ilia Greece 20 1.5k 1.5k 473 447 415 44 2.5k
Paraskevas Tsangaratos Greece 20 1.7k 1.2× 1.6k 1.1× 572 1.2× 519 1.2× 460 1.1× 62 2.9k
M. B. Dholakia India 13 1.3k 0.9× 1.4k 1.0× 351 0.7× 404 0.9× 391 0.9× 19 2.1k
Xiaoshen Xie China 10 1.2k 0.8× 1.1k 0.8× 420 0.9× 331 0.7× 316 0.8× 19 2.0k
Hyun‐Joo Oh South Korea 23 1.6k 1.1× 1.7k 1.1× 879 1.9× 388 0.9× 417 1.0× 42 2.7k
Ataollah Shirzadi Iran 22 1.5k 1.0× 1.1k 0.8× 520 1.1× 386 0.9× 282 0.7× 31 2.3k
Zhice Fang China 18 1.4k 0.9× 1.3k 0.9× 339 0.7× 596 1.3× 292 0.7× 34 2.1k
Zhongfan Zhu China 17 1.1k 0.7× 1.3k 0.9× 259 0.5× 491 1.1× 308 0.7× 66 2.2k
Omar F. Althuwaynee Malaysia 19 1.3k 0.9× 1.4k 1.0× 331 0.7× 452 1.0× 343 0.8× 33 2.1k
Simone Sterlacchini Italy 22 1.0k 0.7× 1.2k 0.8× 342 0.7× 368 0.8× 247 0.6× 59 2.0k
Øystein B. Dick Norway 15 1.3k 0.9× 1.3k 0.9× 688 1.5× 314 0.7× 312 0.8× 22 2.5k

Countries citing papers authored by Ioanna Ilia

Since Specialization
Citations

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

Fields of papers citing papers by Ioanna Ilia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ioanna Ilia

This figure shows the co-authorship network connecting the top 25 collaborators of Ioanna Ilia. A scholar is included among the top collaborators of Ioanna Ilia 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 Ioanna Ilia. Ioanna Ilia 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
3.
Tsangaratos, Paraskevas, et al.. (2025). Machine Learning Approaches for Real-Time Mineral Classification and Educational Applications. Applied Sciences. 15(4). 1871–1871. 3 indexed citations
4.
Chen, Wei, et al.. (2024). Exploring advanced machine learning techniques for landslide susceptibility mapping in Yanchuan County, China. Earth Science Informatics. 17(6). 5385–5402. 1 indexed citations
6.
Ilia, Ioanna, et al.. (2023). Selected Worldwide Cases of Land Subsidence Due to Groundwater Withdrawal. Water. 15(6). 1094–1094. 28 indexed citations
7.
Xue, Weifeng, Enke Hou, Xia Zhao, et al.. (2023). Discriminant Analysis of Water Inrush Sources in the Weibei Coalfield, Shaanxi Province, China. Water. 15(3). 453–453. 6 indexed citations
8.
Tsangaratos, Paraskevas, et al.. (2023). Applying a 1D Convolutional Neural Network in Flood Susceptibility Assessments—The Case of the Island of Euboea, Greece. Remote Sensing. 15(14). 3471–3471. 19 indexed citations
10.
Ilia, Ioanna, et al.. (2022). Flash flood susceptibility mapping using stacking ensemble machine learning models. Geocarto International. 37(27). 15010–15036. 30 indexed citations
11.
Chen, Wei, Xia Zhao, Paraskevas Tsangaratos, et al.. (2020). Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping. Journal of Hydrology. 583. 124602–124602. 114 indexed citations
12.
Chen, Wei, Yang Li, Paraskevas Tsangaratos, et al.. (2020). Groundwater Spring Potential Mapping Using Artificial Intelligence Approach Based on Kernel Logistic Regression, Random Forest, and Alternating Decision Tree Models. Applied Sciences. 10(2). 425–425. 97 indexed citations
13.
Hong, Haoyuan, Paraskevas Tsangaratos, Ioanna Ilia, Constantinos Loupasakis, & Yi Wang. (2020). Introducing a novel multi-layer perceptron network based on stochastic gradient descent optimized by a meta-heuristic algorithm for landslide susceptibility mapping. The Science of The Total Environment. 742. 140549–140549. 94 indexed citations
14.
Hong, Haoyuan, Paraskevas Tsangaratos, Ioanna Ilia, et al.. (2018). Applying genetic algorithms to set the optimal combination of forest fire related variables and model forest fire susceptibility based on data mining models. The case of Dayu County, China. The Science of The Total Environment. 630. 1044–1056. 149 indexed citations
15.
Ilia, Ioanna, Constantinos Loupasakis, & Paraskevas Tsangaratos. (2018). Land subsidence phenomena investigated by spatiotemporal analysis of groundwater resources, remote sensing techniques, and random forest method: the case of Western Thessaly, Greece. Environmental Monitoring and Assessment. 190(11). 623–623. 41 indexed citations
16.
Hong, Haoyuan, Paraskevas Tsangaratos, Ioanna Ilia, et al.. (2017). Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China. The Science of The Total Environment. 625. 575–588. 327 indexed citations breakdown →
17.
Hong, Haoyuan, Ioanna Ilia, Paraskevas Tsangaratos, Wei Chen, & Chong Xu. (2017). A hybrid fuzzy weight of evidence method in landslide susceptibility analysis on the Wuyuan area, China. Geomorphology. 290. 1–16. 125 indexed citations
18.
Tsangaratos, Paraskevas, Ioanna Ilia, Haoyuan Hong, Wei Chen, & Chong Xu. (2016). Applying Information Theory and GIS-based quantitative methods to produce landslide susceptibility maps in Nancheng County, China. Landslides. 14(3). 1091–1111. 165 indexed citations
19.
Tsangaratos, Paraskevas & Ioanna Ilia. (2015). Landslide susceptibility mapping using a modified decision tree classifier in the Xanthi Perfection, Greece. Landslides. 13(2). 305–320. 171 indexed citations
20.
Ilia, Ioanna, et al.. (2009). Geotechnical and mineralogical properties of weak rocks from Central Greece. Open Geosciences. 1(4). 431–442. 12 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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