Anastasios Delopoulos

1.9k total citations
102 papers, 1.2k citations indexed

About

Anastasios Delopoulos is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Anastasios Delopoulos has authored 102 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Computer Vision and Pattern Recognition, 18 papers in Signal Processing and 18 papers in Artificial Intelligence. Recurrent topics in Anastasios Delopoulos's work include Advanced Image and Video Retrieval Techniques (21 papers), Image Retrieval and Classification Techniques (16 papers) and Advanced Vision and Imaging (11 papers). Anastasios Delopoulos is often cited by papers focused on Advanced Image and Video Retrieval Techniques (21 papers), Image Retrieval and Classification Techniques (16 papers) and Advanced Vision and Imaging (11 papers). Anastasios Delopoulos collaborates with scholars based in Greece, Sweden and United Kingdom. Anastasios Delopoulos's co-authors include Christos Diou, Konstantinos Kyritsis, Niki Aifanti, C. Papachristou, Georgios B. Giannakis, Vasileios Papapanagiotou, Stefanos Kollias, Lisa Klingelhoefer, Αλέξανδρος Παπαδόπουλος and Monica Mars and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Scientific Reports and Automatica.

In The Last Decade

Anastasios Delopoulos

92 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anastasios Delopoulos Greece 19 507 203 168 163 148 102 1.2k
Thomas Ploetz United States 19 364 0.7× 82 0.4× 66 0.4× 65 0.4× 198 1.3× 64 1.2k
Wellington Pinheiro dos Santos Brazil 21 201 0.4× 95 0.5× 100 0.6× 77 0.5× 112 0.8× 112 1.2k
Akinori Ito Japan 19 258 0.5× 54 0.3× 401 2.4× 182 1.1× 47 0.3× 239 1.5k
Marcelo Pias Brazil 12 125 0.2× 311 1.5× 49 0.3× 78 0.5× 76 0.5× 46 1.9k
Pepijn Van de Ven Ireland 20 575 1.1× 61 0.3× 36 0.2× 99 0.6× 472 3.2× 79 1.6k
Xi Long Netherlands 28 334 0.7× 43 0.2× 216 1.3× 326 2.0× 1.1k 7.4× 152 2.6k
Musa Hakan Asyalı Türkiye 19 102 0.2× 39 0.2× 47 0.3× 86 0.5× 144 1.0× 38 1.3k
Md Belal Bin Heyat China 26 182 0.4× 86 0.4× 23 0.1× 265 1.6× 208 1.4× 85 1.7k
Ane Alberdi Spain 10 171 0.3× 41 0.2× 48 0.3× 193 1.2× 141 1.0× 17 926
M. C. Wong United States 19 1.3k 2.5× 123 0.6× 1.6k 9.7× 131 0.8× 59 0.4× 64 2.7k

Countries citing papers authored by Anastasios Delopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Anastasios Delopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anastasios Delopoulos

This figure shows the co-authorship network connecting the top 25 collaborators of Anastasios Delopoulos. A scholar is included among the top collaborators of Anastasios Delopoulos 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 Delopoulos. Anastasios Delopoulos 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.
Παπαδόπουλος, Αλέξανδρος, Vasileios Papapanagiotou, Christos Diou, et al.. (2025). REBECCA: A System for Real World Behavioural Data in Breast Cancer Clinical Research and Patient Care.
2.
3.
Papapanagiotou, Vasileios, et al.. (2024). Prediabetes detection in unconstrained conditions using wearable sensors. Clinical Nutrition Open Science. 58. 163–174. 2 indexed citations
4.
Manakos, Ioannis, et al.. (2022). A Learnable Model With Calibrated Uncertainty Quantification for Estimating Canopy Height From Spaceborne Sequential Imagery. IEEE Transactions on Geoscience and Remote Sensing. 60. 1–13. 10 indexed citations
5.
Filos, Dimitris, Irini Lekka, Vassilis Kilintzis, et al.. (2021). Exploring Associations Between Children’s Obesogenic Behaviors and the Local Environment Using Big Data: Development and Evaluation of the Obesity Prevention Dashboard. JMIR mhealth and uhealth. 9(7). e26290–e26290. 11 indexed citations
6.
Papapanagiotou, Vasileios, Christos Diou, & Anastasios Delopoulos. (2021). Self-Supervised Feature Learning of 1D Convolutional Neural Networks with Contrastive Loss Using In-Ear Microphone Audio for Eating Detection. arXiv (Cornell University). 2 indexed citations
7.
Filis, Konstantinos, Eleni Theodoropoulou, Youla Karavidopoulou, et al.. (2021). Evaluation of the BigO system in a clinical setting in Greece. 94. 1 indexed citations
8.
Kyritsis, Konstantinos, Ioannis Ioakimidis, К. Ray Chaudhuri, et al.. (2021). Assessment of real life eating difficulties in Parkinson’s disease patients by measuring plate to mouth movement elongation with inertial sensors. Scientific Reports. 11(1). 1632–1632. 19 indexed citations
9.
Moschonis, George, Yannis Μanios, Ioannis Ioakimidis, et al.. (2020). Novel e-Health Applications for the Management of Cardiometabolic Risk Factors in Children and Adolescents in Greece. Nutrients. 12(5). 1380–1380. 17 indexed citations
10.
Klingelhoefer, Lisa, Matteo Bottai, Konstantinos Kyritsis, et al.. (2020). Lower Energy Intake among Advanced vs. Early Parkinson’s Disease Patients and Healthy Controls in a Clinical Lunch Setting: A Cross-Sectional Study. Nutrients. 12(7). 2109–2109. 5 indexed citations
12.
Filis, Konstantinos, Eleni Theodoropoulou, Youla Karavidopoulou, et al.. (2019). BigO: The use of New Technologies for the Management of Childhood Obesity A Clinical Pilot Study. 92.
13.
Delopoulos, Anastasios. (2019). Big Data Against Childhood Obesity, the BigO Project. 64–66. 5 indexed citations
14.
Papapanagiotou, Vasileios, et al.. (2018). The SPLENDID Eating Detection Sensor: Development and Feasibility Study. JMIR mhealth and uhealth. 6(9). e170–e170. 13 indexed citations
15.
Delopoulos, Anastasios, et al.. (2011). Automatic ground-truth image generation from user tags. Research Repository (Delft University of Technology). 1 indexed citations
16.
Aifanti, Niki, C. Papachristou, & Anastasios Delopoulos. (2010). The MUG facial expression database. 1–4. 164 indexed citations
17.
Diou, Christos, George Stephanopoulos, Anastasios Delopoulos, et al.. (2009). VITALAS at TRECVID-2008. TRECVID. 51(5). 126–8. 2 indexed citations
18.
Diou, Christos, et al.. (2006). Constructing Fuzzy Relations from WordNet for Word Sense Disambiguation. 2 indexed citations
19.
Delopoulos, Anastasios, et al.. (2001). Efficient optical camera tracking in virtual sets. IEEE Transactions on Image Processing. 10(4). 609–622. 5 indexed citations
20.
Delopoulos, Anastasios, et al.. (1995). Two-dimensional filter bank design for optimal reconstruction using limited subband information. IEEE Transactions on Image Processing. 4(8). 1160–1165. 11 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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