Nikolaos Doulamis

11.6k total citations · 3 hit papers
311 papers, 7.9k citations indexed

About

Nikolaos Doulamis is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Networks and Communications. According to data from OpenAlex, Nikolaos Doulamis has authored 311 papers receiving a total of 7.9k indexed citations (citations by other indexed papers that have themselves been cited), including 169 papers in Computer Vision and Pattern Recognition, 37 papers in Signal Processing and 34 papers in Computer Networks and Communications. Recurrent topics in Nikolaos Doulamis's work include Video Analysis and Summarization (64 papers), Advanced Image and Video Retrieval Techniques (60 papers) and Image Retrieval and Classification Techniques (41 papers). Nikolaos Doulamis is often cited by papers focused on Video Analysis and Summarization (64 papers), Advanced Image and Video Retrieval Techniques (60 papers) and Image Retrieval and Classification Techniques (41 papers). Nikolaos Doulamis collaborates with scholars based in Greece, Cyprus and United Kingdom. Nikolaos Doulamis's co-authors include Anastasios Doulamis, Athanasios Voulodimos, Eftychios Protopapadakis, Konstantinos Makantasis, Stefanos Kollias, Anastasios Doulamis, Κωνσταντίνος Καράντζαλος, Maria Kaselimi, Ioannis Rallis and Emmanouel Varvarigos 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

Nikolaos Doulamis

299 papers receiving 7.6k citations

Hit Papers

align trajectories sort by overperformance

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.

Deep Learning for Computer Vision: A Brief Review

2018 2.2k citations Athanasios Voulodimos, Nikolaos Doulamis et al. profile →
Deep supervised learning for hyperspectral data classification through convolutional neural networks

2015 759 citations Konstantinos Makantasis, Anastasios Doulamis et al. profile →
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						Papers	Cites
Nikolaos Doulamis Greece	39	2.8k	1.4k	1.1k	931	634	311	7.9k
Anastasios Doulamis Greece	31	2.4k 0.9×	1.2k 0.9×	999 0.9×	632 0.7×	493 0.8×	225	6.3k
Huiyu Zhou United Kingdom	55	4.9k 1.8×	2.1k 1.4×	1.6k 1.5×	965 1.0×	200 0.3×	508	11.6k
Vinod Nair India	14	3.9k 1.4×	3.2k 2.2×	848 0.8×	754 0.8×	316 0.5×	23	9.8k
Jing Zhang China	48	3.5k 1.3×	2.0k 1.4×	1.4k 1.3×	1.2k 1.3×	163 0.3×	571	9.3k
Shengyong Chen China	49	4.3k 1.6×	1.8k 1.2×	747 0.7×	941 1.0×	372 0.6×	469	9.5k
Jianchang Mao United States	19	3.2k 1.1×	3.7k 2.6×	653 0.6×	809 0.9×	331 0.5×	43	9.9k
Ting Liu China	23	2.4k 0.9×	2.1k 1.5×	524 0.5×	672 0.7×	277 0.4×	109	7.0k
Sherjil Ozair United States	6	3.5k 1.3×	2.7k 1.9×	704 0.6×	504 0.5×	296 0.5×	7	8.5k
Rui Zhang China	31	2.4k 0.9×	4.7k 3.3×	1.0k 0.9×	1.8k 1.9×	254 0.4×	198	8.3k

Countries citing papers authored by Nikolaos Doulamis

Since Specialization

Citations

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

Fields of papers citing papers by Nikolaos Doulamis

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nikolaos Doulamis

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

All Works

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20 of 20 papers shown

Doulamis, Nikolaos, et al.. (2025). Roads Infrastructure Digital Twin: Advancing Situational Awareness Through Bandwidth-Aware 360° Video Streaming and Multi-View Clustering. IEEE Open Journal of Vehicular Technology. 6. 1348–1362.

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.

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

Katsamenis, Iason, G. Andreoli, Franziska Schmidt, et al.. (2024). UAV-based Localization of Removable Urban Pavement Elements Through Deep Object Detection Methods. SPIRE - Sciences Po Institutional REpository. 440–448. 1 indexed citations

Temenos, Nikos, et al.. (2024). A Pre-Training Pruning Strategy for Enabling Lightweight Non-Intrusive Load Monitoring On Edge Devices. 249–253. 4 indexed citations

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

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

Papacharalampous, Georgia, Hristos Tyralis, Anastasios Doulamis, & Nikolaos Doulamis. (2023). Comparison of Machine Learning Algorithms for Merging Gridded Satellite and Earth-Observed Precipitation Data. Water. 15(4). 634–634. 14 indexed citations

Kaselimi, Maria, et al.. (2023). Excess Attenuation Detection in Satellite Communication Channel Measurements with Deep Learning Architectures. 1–4. 1 indexed citations

10.

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

11.

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

12.

Rallis, Ioannis, et al.. (2022). Tensor-Based Learning for Detecting Abnormalities on Digital Mammograms. Diagnostics. 12(10). 2389–2389. 1 indexed citations

13.

Kaselimi, Maria, et al.. (2021). Bioinformatics systems for monitoring and mitigating epidemics: The STAMINA Paradigm. 426–430. 2 indexed citations

14.

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

15.

Kaselimi, Maria, Athanasios Voulodimos, Eftychios Protopapadakis, Nikolaos Doulamis, & Anastasios Doulamis. (2020). EnerGAN: A GENERATIVE ADVERSARIAL NETWORK FOR ENERGY DISAGGREGATION. 1578–1582. 26 indexed citations

16.

Kaselimi, Maria, Eftychios Protopapadakis, Athanasios Voulodimos, Nikolaos Doulamis, & Anastasios Doulamis. (2019). Multi-Channel Recurrent Convolutional Neural Networks for Energy Disaggregation. IEEE Access. 7. 81047–81056. 64 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.

Ntalianis, Klimis, Anastasios Doulamis, Nicolas Tsapatsoulis, & Nikolaos Doulamis. (2008). Automatic annotation of multimedia content by user clickthroughs: enhancing the performance of multimedia search engines. 439–446. 1 indexed citations

19.

Papadakis, Nikos, Nikolaos Doulamis, & Anastasios Doulamis. (2007). Hierarchical graph-based media content representation for real time search in large scale multimedia databases. 202–207.

20.

Doulamis, Nikolaos, et al.. (1998). A dynamically trained neural network for machine vision applications. 113–123. 3 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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