Ioannis Mademlis

1.3k total citations · 1 hit paper
68 papers, 853 citations indexed

About

Ioannis Mademlis is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Ioannis Mademlis has authored 68 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Computer Vision and Pattern Recognition, 16 papers in Artificial Intelligence and 15 papers in Aerospace Engineering. Recurrent topics in Ioannis Mademlis's work include Advanced Vision and Imaging (20 papers), Video Surveillance and Tracking Methods (19 papers) and Human Pose and Action Recognition (14 papers). Ioannis Mademlis is often cited by papers focused on Advanced Vision and Imaging (20 papers), Video Surveillance and Tracking Methods (19 papers) and Human Pose and Action Recognition (14 papers). Ioannis Mademlis collaborates with scholars based in Greece, United Kingdom and Italy. Ioannis Mademlis's co-authors include Ioannis Pitas, Nikos Nikolaidis, Anastasios Tefas, Vasileios Mygdalis, Alberto Messina, Georgios Th. Papadopoulos, Paraskevi Nousi, Maria Tzelepi, Panagiotis Radoglou‐Grammatikis and Panagiotis Sarigiannidis and has published in prestigious journals such as IEEE Transactions on Image Processing, ACM Computing Surveys and Information Sciences.

In The Last Decade

Ioannis Mademlis

66 papers receiving 826 citations

Hit Papers

Advances in diffusion models for image data augmentation:... 2025 2026 2025 5 10 15

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ioannis Mademlis Greece 17 609 281 152 79 66 68 853
Nabin Sharma Australia 18 888 1.5× 174 0.6× 271 1.8× 47 0.6× 55 0.8× 44 1.1k
Michael D. Breitenstein Switzerland 9 1.1k 1.8× 181 0.6× 430 2.8× 85 1.1× 72 1.1× 11 1.2k
Fabio Poiesi Italy 14 336 0.6× 157 0.6× 146 1.0× 25 0.3× 36 0.5× 52 595
Qieshi Zhang China 14 423 0.7× 83 0.3× 156 1.0× 41 0.5× 143 2.2× 91 685
Yinghao Cai China 14 347 0.6× 73 0.3× 163 1.1× 34 0.4× 84 1.3× 60 656
Roland Gerærts Netherlands 16 679 1.1× 256 0.9× 117 0.8× 70 0.9× 40 0.6× 49 907
Jean-Bernard Hayet Mexico 15 382 0.6× 219 0.8× 60 0.4× 21 0.3× 61 0.9× 47 539
Ivan Marković Croatia 16 334 0.5× 395 1.4× 181 1.2× 65 0.8× 51 0.8× 61 802
Huanlong Zhang China 15 513 0.8× 117 0.4× 157 1.0× 26 0.3× 43 0.7× 125 774
David Duggins United States 6 874 1.4× 161 0.6× 187 1.2× 34 0.4× 44 0.7× 9 1.0k

Countries citing papers authored by Ioannis Mademlis

Since Specialization
Citations

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

Fields of papers citing papers by Ioannis Mademlis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ioannis Mademlis

This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Mademlis. A scholar is included among the top collaborators of Ioannis Mademlis 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 Ioannis Mademlis. Ioannis Mademlis 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.
Mademlis, Ioannis, et al.. (2025). Advances in diffusion models for image data augmentation: a review of methods, models, evaluation metrics and future research directions. Artificial Intelligence Review. 58(4). 16 indexed citations breakdown →
2.
Krátký, Vít, Giuseppe Silano, Matouš Vrba, et al.. (2025). Gesture-Controlled Aerial Robot Formation for Human-Swarm Interaction in Safety Monitoring Applications. IEEE Robotics and Automation Letters. 10(8). 8244–8251.
3.
Mademlis, Ioannis, et al.. (2024). Self-supervised visual learning in the low-data regime: A comparative evaluation. Neurocomputing. 620. 129199–129199. 3 indexed citations
4.
Mademlis, Ioannis, et al.. (2024). The Invisible Arms Race: Digital Trends in Illicit Goods Trafficking and AI-Enabled Responses. 6(2). 181–199. 2 indexed citations
5.
Papadopoulos, Georgios Th., et al.. (2024). Neural natural language processing for long texts: A survey on classification and summarization. Engineering Applications of Artificial Intelligence. 133. 108231–108231. 27 indexed citations
6.
Mademlis, Ioannis, et al.. (2024). Generative Representation Learning in Recurrent Neural Networks for Causal Timeseries Forecasting. IEEE Transactions on Artificial Intelligence. 5(12). 6412–6425. 1 indexed citations
7.
Mademlis, Ioannis, et al.. (2024). Illicit object detection in X-ray images using Vision Transformers. 1–6. 2 indexed citations
8.
Mademlis, Ioannis, et al.. (2024). Lightweight Human Gesture Recognition Using Multimodal Features. Zenodo (CERN European Organization for Nuclear Research). 977–981.
9.
Mademlis, Ioannis, et al.. (2023). Fast multidimensional scaling on big geospatial data using neural networks. Earth Science Informatics. 16(3). 2241–2249. 2 indexed citations
10.
Mademlis, Ioannis, et al.. (2023). Vision-based drone control for autonomous UAV cinematography. Multimedia Tools and Applications. 83(8). 25055–25083. 7 indexed citations
11.
Mademlis, Ioannis, et al.. (2023). Fast Single-Person 2D Human Pose Estimation Using Multi-Task Convolutional Neural Networks. Zenodo (CERN European Organization for Nuclear Research). 1–5. 9 indexed citations
12.
Pitas, Ioannis & Ioannis Mademlis. (2022). Autonomous UAV Cinematography. Proceedings of the 30th ACM International Conference on Multimedia. 7374–7376. 4 indexed citations
13.
Mademlis, Ioannis, et al.. (2022). Exploiting Caption Diversity for Unsupervised Video Summarization. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 1650–1654. 4 indexed citations
14.
Mademlis, Ioannis, et al.. (2021). Autonomous UAV Safety by Visual Human Crowd Detection Using Multi-Task Deep Neural Networks. Zenodo (CERN European Organization for Nuclear Research). 11074–11080. 17 indexed citations
15.
Mademlis, Ioannis, et al.. (2021). Optimal video handling in on-line hand gesture recognition using Deep Neural Networks. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). 1–7. 6 indexed citations
16.
Mademlis, Ioannis, et al.. (2019). Shot type constraints in UAV cinematography for autonomous target tracking. Information Sciences. 506. 273–294. 30 indexed citations
17.
Mademlis, Ioannis, et al.. (2019). Shot Type Feasibility in Autonomous UAV Cinematography. 1937–1941. 11 indexed citations
18.
Mademlis, Ioannis, et al.. (2018). Autonomous Unmanned Aerial Vehicles Filming In Dynamic Unstructured Outdoor Environments [Applications Corner]. IEEE Signal Processing Magazine. 36(1). 147–153. 34 indexed citations
19.
Mademlis, Ioannis, Anastasios Tefas, Nikos Nikolaidis, & Ioannis Pitas. (2016). Movie shot selection preserving narrative properties. Bristol Research (University of Bristol). 1–5. 5 indexed citations
20.
Mademlis, Ioannis, Alexandros Iosifidis, Anastasios Tefas, Nikos Nikolaidis, & Ioannis Pitas. (2015). Exploiting stereoscopic disparity for augmenting human activity recognition performance. Multimedia Tools and Applications. 75(19). 11641–11660. 7 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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