Anastasios Doulamis

2.3k total citations · 1 hit paper
87 papers, 1.3k citations indexed

About

Anastasios Doulamis is a scholar working on Computer Vision and Pattern Recognition, Geology and Media Technology. According to data from OpenAlex, Anastasios Doulamis has authored 87 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Computer Vision and Pattern Recognition, 20 papers in Geology and 10 papers in Media Technology. Recurrent topics in Anastasios Doulamis's work include 3D Surveying and Cultural Heritage (19 papers), Advanced Image and Video Retrieval Techniques (17 papers) and Advanced Vision and Imaging (10 papers). Anastasios Doulamis is often cited by papers focused on 3D Surveying and Cultural Heritage (19 papers), Advanced Image and Video Retrieval Techniques (17 papers) and Advanced Vision and Imaging (10 papers). Anastasios Doulamis collaborates with scholars based in Greece, Cyprus and Germany. Anastasios Doulamis's co-authors include Nikolaos Doulamis, Athanasios Voulodimos, Maria Kaselimi, Eftychios Protopapadakis, Stefanos Kollias, Konstantinos Makantasis, Dimitris Kalogeras, Nikos Temenos, Iason Katsamenis and Klimis Ntalianis and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Geoscience and Remote Sensing and IEEE Access.

In The Last Decade

Anastasios Doulamis

80 papers receiving 1.2k citations

Hit Papers

Interpretable Deep Learning Framework for Land Use and La... 2023 2026 2024 2025 2023 25 50 75 100
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Interpretable Deep Learning Framework for Land Use and Land Cover Classification in Remote Sensing Using SHAP
    2023 101 citations Nikos Temenos, Maria Kaselimi et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anastasios Doulamis Greece 22 399 255 154 150 149 87 1.3k
Yicheng Li China 21 975 2.4× 171 0.7× 204 1.3× 133 0.9× 44 0.3× 91 1.9k
Jin Zhao China 22 484 1.2× 166 0.7× 182 1.2× 139 0.9× 57 0.4× 74 1.6k
Chao Yin China 20 403 1.0× 84 0.3× 363 2.4× 162 1.1× 301 2.0× 62 1.5k
Bo Peng China 22 748 1.9× 118 0.5× 332 2.2× 117 0.8× 67 0.4× 147 1.7k
Allison Kealy Australia 20 171 0.4× 564 2.2× 204 1.3× 44 0.3× 133 0.9× 110 1.2k
Tian-Xing Xu China 5 706 1.8× 114 0.4× 347 2.3× 63 0.4× 39 0.3× 12 1.5k
Ying Zhu China 23 651 1.6× 227 0.9× 210 1.4× 51 0.3× 28 0.2× 134 1.8k

Countries citing papers authored by Anastasios Doulamis

Since Specialization
Citations

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

Fields of papers citing papers by Anastasios Doulamis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anastasios Doulamis

This figure shows the co-authorship network connecting the top 25 collaborators of Anastasios Doulamis. A scholar is included among the top collaborators of Anastasios Doulamis 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 Anastasios Doulamis. Anastasios Doulamis 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.
Kaselimi, Maria, et al.. (2025). Geometric deep learning for ionospheric TEC modeling using a temporal graph convolutional network. Neural Computing and Applications. 37(22). 17179–17192.
2.
Papacharalampous, Georgia, et al.. (2025). Ensemble learning for uncertainty estimation with application to the correction of satellite precipitation products. SHILAP Revista de lepidopterología. 1(1). 15004–15004.
3.
Rallis, Ioannis, et al.. (2025). Empowering Communities Through Gamified Urban Design Solutions. Smart Cities. 8(2). 44–44.
4.
Temenos, Nikos, et al.. (2025). UAVINE-XAI: eXplainable AI-Based Spectral Band Selection for Vineyard Monitoring Using UAV Hyperspectral Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 10095–10104. 3 indexed citations
5.
Doulamis, Anastasios, et al.. (2025). Towards generalizable Federated Learning in medical imaging: A real-world case study on mammography data. Computational and Structural Biotechnology Journal. 28. 106–117.
6.
Papacharalampous, Georgia, Hristos Tyralis, Nikolaos Doulamis, & Anastasios Doulamis. (2024). Uncertainty estimation of machine learning spatial precipitation predictions from satellite data. Machine Learning Science and Technology. 5(3). 35044–35044. 4 indexed citations
7.
Papacharalampous, Georgia, Hristos Tyralis, Nikolaos Doulamis, & Anastasios Doulamis. (2024). Combinations of distributional regression algorithms with application in uncertainty estimation of corrected satellite precipitation products. SHILAP Revista de lepidopterología. 19. 100615–100615. 1 indexed citations
8.
Rallis, Ioannis, et al.. (2024). Segmentation of Remote Sensing Data with Missing Modalities Through Prototype Knowledge Distillation. Zenodo (CERN European Organization for Nuclear Research). 10015–10018. 1 indexed citations
9.
Doulamis, Anastasios, et al.. (2024). INCAD: 2D VECTOR DRAWINGS CREATION USING INSTANCE SEGMENTATION. SHILAP Revista de lepidopterología. XLVIII-2/W4-2024. 65–72. 2 indexed citations
10.
Doulamis, Anastasios, et al.. (2024). Automated Detection and Categorization of River Islets Using Sentinel 2 Images. Zenodo (CERN European Organization for Nuclear Research). 4344–4348. 1 indexed citations
11.
Papacharalampous, Georgia, Hristos Tyralis, Nikolaos Doulamis, & Anastasios Doulamis. (2023). Ensemble Learning for Blending Gridded Satellite and Gauge-Measured Precipitation Data. Remote Sensing. 15(20). 4912–4912. 9 indexed citations
12.
Papacharalampous, Georgia, Hristos Tyralis, Anastasios Doulamis, & Nikolaos Doulamis. (2023). Comparison of Tree-Based Ensemble Algorithms for Merging Satellite and Earth-Observed Precipitation Data at the Daily Time Scale. Hydrology. 10(2). 50–50. 15 indexed citations
13.
Tyralis, Hristos, Georgia Papacharalampous, Nikolaos Doulamis, & Anastasios Doulamis. (2023). Merging Satellite and Gauge-Measured Precipitation Using LightGBM With an Emphasis on Extreme Quantiles. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 16. 6969–6979. 10 indexed citations
14.
Katsamenis, Iason, Νικόλαος Δικαίος, George A. Kastis, et al.. (2022). A few-shot U-Net deep learning model for lung cancer lesion segmentation via PET/CT imaging. Biomedical Physics & Engineering Express. 8(2). 25019–25019. 41 indexed citations
15.
16.
Kaselimi, Maria, et al.. (2020). Air Quality Data Time Series Modeling Using Deep Recurrent Neural Networks on Sentinel-5p Products. AGU Fall Meeting Abstracts. 2020. 1 indexed citations
17.
Makantasis, Konstantinos, Athanasios Voulodimos, Anastasios Doulamis, Nikolaos Doulamis, & Ioannis Georgoulas. (2019). Hyperspectral Image Classification with Tensor-Based Rank-R Learning Models. 3148–3152. 15 indexed citations
18.
19.
Protopapadakis, Eftychios, Christos Stentoumis, Nikolaos Doulamis, et al.. (2016). AUTONOMOUS ROBOTIC INSPECTION IN TUNNELS. SHILAP Revista de lepidopterología. III-5. 167–174. 25 indexed citations
20.
Doulamis, Anastasios, Nikolaos Doulamis, Klimis Ntalianis, & Stefanos Kollias. (2003). An efficient fully unsupervised video object segmentation scheme using an adaptive neural-network classifier architecture. IEEE Transactions on Neural Networks. 14(3). 616–630. 37 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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