Eva Chondrodima

544 total citations
19 papers, 422 citations indexed

About

Eva Chondrodima is a scholar working on Artificial Intelligence, Ocean Engineering and Signal Processing. According to data from OpenAlex, Eva Chondrodima has authored 19 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 5 papers in Ocean Engineering and 5 papers in Signal Processing. Recurrent topics in Eva Chondrodima's work include Maritime Navigation and Safety (5 papers), Neural Networks and Applications (4 papers) and Traffic Prediction and Management Techniques (3 papers). Eva Chondrodima is often cited by papers focused on Maritime Navigation and Safety (5 papers), Neural Networks and Applications (4 papers) and Traffic Prediction and Management Techniques (3 papers). Eva Chondrodima collaborates with scholars based in Greece, Denmark and Germany. Eva Chondrodima's co-authors include Alex Alexandridis, Haralambos Sarimveis, Yannis Theodoridis, Nikos Pelekis, Aggelos Pikrakis, Dimos Triantis, Filippos Vallianatos, Evangelos Efthimiou, George Papadakis and Harris Georgiou and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Journal of Materials Science and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Eva Chondrodima

18 papers receiving 412 citations

Peers

Eva Chondrodima

CSE

EEE

CVPR

Yu Jiang China

Zhonghua Tang China

Nguyen Van Thieu Vietnam

Liming Zhang China

Yongliang Yuan China

Yunwei Zhang China

Sanjukta De India

Renjing Liu China

Ravindra Ranasinghe Australia

Yu Jiang China

Eva Chondrodima

118 ×0.7

86 ×1.2

55 ×0.8

CSE

56 ×0.9

EEE

151 ×3.4

CVPR

Citations per year, relative to Eva Chondrodima Eva Chondrodima (= 1×) peers Yu Jiang

Countries citing papers authored by Eva Chondrodima

Since Specialization

Citations

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

Fields of papers citing papers by Eva Chondrodima

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Chondrodima

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

All Works

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19 of 19 papers shown

Chondrodima, Eva, et al.. (2024). A transformer-based method for vessel traffic flow forecasting. GeoInformatica. 29(1). 149–173. 2 indexed citations

Chondrodima, Eva, Nikos Pelekis, Aggelos Pikrakis, & Yannis Theodoridis. (2023). An Efficient LSTM Neural Network-Based Framework for Vessel Location Forecasting. IEEE Transactions on Intelligent Transportation Systems. 24(5). 4872–4888. 34 indexed citations

Chondrodima, Eva, et al.. (2022). Machine Learning Models for Vessel Traffic Flow Forecasting: An Experimental Comparison. 431–436. 5 indexed citations

Chondrodima, Eva, Harris Georgiou, Nikos Pelekis, & Yannis Theodoridis. (2022). Particle swarm optimization and RBF neural networks for public transport arrival time prediction using GTFS data. International Journal of Information Management Data Insights. 2(2). 100086–100086. 15 indexed citations

Chondrodima, Eva, et al.. (2022). Machine Learning Models for Vessel Route Forecasting: An Experimental Comparison. 262–269. 12 indexed citations

Chondrodima, Eva, et al.. (2022). Vessel Collision Risk Assessment using AIS Data: A Machine Learning Approach. 425–430. 6 indexed citations

Chondrodima, Eva, et al.. (2022). Predicting Co-movement patterns in mobility data. GeoInformatica. 28(2). 221–243. 5 indexed citations

Chondrodima, Eva, et al.. (2021). i4sea: a big data platform for sea area monitoring and analysis of fishing vessels activity. Geo-spatial Information Science. 25(2). 132–154. 7 indexed citations

Chondrodima, Eva, Aggelos Pikrakis, Yannis Theodoridis, et al.. (2020). Sea Area Monitoring and Analysis of Fishing Vessels Activity: The i4sea Big Data Platform. 11. 275–280. 6 indexed citations

10.

Patroumpas, Kostas, Akrivi Vlachou, Harris Georgiou, et al.. (2019). ARGO. 194–197. 11 indexed citations

11.

Alexandridis, Alex, et al.. (2016). A particle swarm optimization approach in printed circuit board thermal design. Integrated Computer-Aided Engineering. 24(2). 143–155. 36 indexed citations

12.

Alexandridis, Alex, Eva Chondrodima, & Haralambos Sarimveis. (2016). Cooperative learning for radial basis function networks using particle swarm optimization. Applied Soft Computing. 49. 485–497. 56 indexed citations

13.

Alexandridis, Alex, et al.. (2016). A Fast and Efficient Method for Training Categorical Radial Basis Function Networks. IEEE Transactions on Neural Networks and Learning Systems. 28(11). 2831–2836. 38 indexed citations

14.

Alexandridis, Alex & Eva Chondrodima. (2014). A medical diagnostic tool based on radial basis function classifiers and evolutionary simulated annealing. Journal of Biomedical Informatics. 49. 61–72. 33 indexed citations

15.

Alexandridis, Alex, Eva Chondrodima, Evangelos Efthimiou, et al.. (2014). Large Earthquake Occurrence Estimation Based on Radial Basis Function Neural Networks. IEEE Transactions on Geoscience and Remote Sensing. 52(9). 5443–5453. 39 indexed citations

16.

Alexandridis, Alex, et al.. (2014). Music genre classification using radial basis function networks and particle swarm optimization. 35–40. 3 indexed citations

17.

Alexandridis, Alex, Eva Chondrodima, & Haralambos Sarimveis. (2012). Radial Basis Function Network Training Using a Nonsymmetric Partition of the Input Space and Particle Swarm Optimization. IEEE Transactions on Neural Networks and Learning Systems. 24(2). 219–230. 101 indexed citations

18.

Alexandridis, Alex, et al.. (2012). An adaptive soft-sensor for non-destructive cement-based material testing, through the use of RBF networks. 8. 51–56.

19.

Alexandridis, Alex, Eva Chondrodima, Konstantinos Moutzouris, & Dimos Triantis. (2011). A neural network approach for the prediction of the refractive index based on experimental data. Journal of Materials Science. 47(2). 883–891. 13 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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