Stavros Perantonis

4.6k total citations · 1 hit paper
116 papers, 2.8k citations indexed

About

Stavros Perantonis is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Stavros Perantonis has authored 116 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 39 papers in Artificial Intelligence and 19 papers in Signal Processing. Recurrent topics in Stavros Perantonis's work include Handwritten Text Recognition Techniques (27 papers), Image Retrieval and Classification Techniques (25 papers) and Neural Networks and Applications (25 papers). Stavros Perantonis is often cited by papers focused on Handwritten Text Recognition Techniques (27 papers), Image Retrieval and Classification Techniques (25 papers) and Neural Networks and Applications (25 papers). Stavros Perantonis collaborates with scholars based in Greece, United Kingdom and Slovakia. Stavros Perantonis's co-authors include Ioannis Pratikakis, Basilis Gatos, P.J.G. Lisboa, Nicholas Ampazis, Panagiotis Papadakis, Theoharis Theoharis, D.A. Karras, Nikolaos Stamatopoulos, Alexander Agathos and Vassilis Cutsuridis and has published in prestigious journals such as SHILAP Revista de lepidopterología, Nuclear Physics B and IEEE Transactions on Image Processing.

In The Last Decade

Stavros Perantonis

112 papers receiving 2.7k citations

Hit Papers

Adaptive degraded documen... 2005 2026 2012 2019 2005 100 200 300 400

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stavros Perantonis Greece 28 1.8k 719 406 339 213 116 2.8k
Hans-Hellmut Nagel Germany 30 3.4k 2.0× 366 0.5× 125 0.3× 443 1.3× 209 1.0× 121 4.2k
Thomas O. Binford United States 23 2.1k 1.2× 369 0.5× 182 0.4× 270 0.8× 109 0.5× 66 3.1k
Eli Schwartz United States 28 1.1k 0.6× 453 0.6× 123 0.3× 274 0.8× 51 0.2× 72 2.8k
Simon J. D. Prince United Kingdom 22 1.3k 0.7× 1.0k 1.4× 89 0.2× 215 0.6× 44 0.2× 40 3.1k
Mohamed Deriche Saudi Arabia 29 1.3k 0.7× 519 0.7× 127 0.3× 320 0.9× 16 0.1× 246 3.1k
Dan Xu China 22 1.4k 0.8× 670 0.9× 133 0.3× 276 0.8× 10 0.0× 332 2.6k
Janusz Konrad United States 33 3.4k 1.9× 560 0.8× 189 0.5× 782 2.3× 11 0.1× 169 4.1k
David Duke United Kingdom 18 554 0.3× 363 0.5× 192 0.5× 25 0.1× 103 0.5× 81 1.6k
Β.N. Chatterji India 22 2.4k 1.4× 361 0.5× 155 0.4× 651 1.9× 10 0.0× 104 3.4k
Xin Yu China 36 2.9k 1.6× 769 1.1× 158 0.4× 406 1.2× 9 0.0× 260 4.3k

Countries citing papers authored by Stavros Perantonis

Since Specialization
Citations

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

Fields of papers citing papers by Stavros Perantonis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stavros Perantonis

This figure shows the co-authorship network connecting the top 25 collaborators of Stavros Perantonis. A scholar is included among the top collaborators of Stavros Perantonis 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 Stavros Perantonis. Stavros Perantonis 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.
Spyrou, Evaggelos, et al.. (2017). Exploiting social media information toward a context-aware recommendation system. Social Network Analysis and Mining. 7(1). 14 indexed citations
2.
Γιαννακόπουλος, Θεόδωρος, et al.. (2014). Realtime depression estimation using mid-term audio features. International Conference on Artificial Intelligence. 41–45. 3 indexed citations
3.
Popescu, Dorin, et al.. (2014). A Web-based E-training Platform for biomedical engineering education. 22. 162–167. 2 indexed citations
4.
Stamatopoulos, Nikolaos, Basilis Gatos, Ioannis Pratikakis, & Stavros Perantonis. (2010). Goal-Oriented Rectification of Camera-Based Document Images. IEEE Transactions on Image Processing. 20(4). 910–920. 53 indexed citations
5.
Gatos, Basilis, Ioannis Pratikakis, & Stavros Perantonis. (2008). Efficient Binarization of Historical and Degraded Document Images. 447–454. 16 indexed citations
6.
Gatos, Basilis, Ioannis Pratikakis, & Stavros Perantonis. (2008). Improved document image binarization by using a combination of multiple binarization techniques and adapted edge information. 1–4. 56 indexed citations
7.
Gatos, Basilis, et al.. (2007). Hybrid off-line OCR for isolated handwritten Greek characters. International Conference on Signal Processing. 197–202. 10 indexed citations
8.
Anthimopoulos, Marios, Basilis Gatos, Ioannis Pratikakis, & Stavros Perantonis. (2007). Detecting text in video frames. International Conference on Signal Processing. 59(11). 39–44. 3 indexed citations
9.
Agathos, Alexander, Ioannis Pratikakis, Stavros Perantonis, N. Sapidis, & Philip Azariadis. (2007). 3D Mesh Segmentation Methodologies for CAD applications. Computer-Aided Design and Applications. 4(6). 827–841. 115 indexed citations
10.
Cutsuridis, Vassilis, Nikolaos Smyrnis, Ioannis Evdokimidis, & Stavros Perantonis. (2007). A neural model of decision-making by the superior colicullus in an antisaccade task. Neural Networks. 20(6). 690–704. 52 indexed citations
11.
Gatos, Basilis, Ioannis Pratikakis, & Stavros Perantonis. (2006). Hybrid Off-Line Cursive Handwriting Word Recognition. 998–1002. 13 indexed citations
12.
Gatos, Basilis, et al.. (2005). A segmentation-free approach for keyword search in historical typewritten documents. 54–58 Vol. 1. 35 indexed citations
13.
Cutsuridis, Vassilis & Stavros Perantonis. (2005). A neural network model of Parkinson's disease bradykinesia. Neural Networks. 19(4). 354–374. 28 indexed citations
14.
Perantonis, Stavros & D.A. Karras. (2002). Tracking endocardial border motion in ultrasonic images by using neural networks and ARIMA modelling techniques. Proceedings of International Conference on Neural Networks (ICNN'96). 2. 647–652.
15.
Ampazis, Nicholas & Stavros Perantonis. (2002). Two highly efficient second-order algorithms for training feedforward networks. IEEE Transactions on Neural Networks. 13(5). 1064–1074. 123 indexed citations
16.
Perantonis, Stavros, et al.. (2002). Factorization of 2-D polynomials using neural networks and constrained learning techniques. 1276–1280. 7 indexed citations
17.
Karras, D.A. & Stavros Perantonis. (1995). An efficient constrained training algorithm for feedforward networks. IEEE Transactions on Neural Networks. 6(6). 1420–1434. 54 indexed citations
18.
Lisboa, P.J.G. & Stavros Perantonis. (1991). Invariant digit recognition by Zernike moments and third-order neural networks. 82–85. 4 indexed citations
19.
Michael, Chris & Stavros Perantonis. (1991). Potentials and glueballs at large beta. Nuclear Physics B - Proceedings Supplements. 20. 177–180. 9 indexed citations
20.
Karl, G., J. Patera, & Stavros Perantonis. (1986). Quantization of chiral solitons for three flavors and the large-N limit. Physics Letters B. 172(1). 49–52. 12 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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