Spiros Fotopoulos

1.1k total citations
41 papers, 753 citations indexed

About

Spiros Fotopoulos is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Spiros Fotopoulos has authored 41 papers receiving a total of 753 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 9 papers in Media Technology. Recurrent topics in Spiros Fotopoulos's work include Digital Imaging for Blood Diseases (6 papers), Image Retrieval and Classification Techniques (6 papers) and Gait Recognition and Analysis (6 papers). Spiros Fotopoulos is often cited by papers focused on Digital Imaging for Blood Diseases (6 papers), Image Retrieval and Classification Techniques (6 papers) and Gait Recognition and Analysis (6 papers). Spiros Fotopoulos collaborates with scholars based in Greece, United Kingdom and United States. Spiros Fotopoulos's co-authors include George Economou, Ilias Theodorakopoulos, Dimitris Kastaniotis, Ioannis Rigas, Nikolaos Laskaris, Stavros I. Dimitriadis, Michael Vourkas, Sifis Micheloyannis, Vasso Tsirka and Irene Kotsia and has published in prestigious journals such as Pattern Recognition, International Journal of Remote Sensing and Pattern Recognition Letters.

In The Last Decade

Spiros Fotopoulos

39 papers receiving 738 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Spiros Fotopoulos Greece 15 377 175 160 149 143 41 753
Giuseppe Boccignone Italy 17 574 1.5× 124 0.7× 131 0.8× 206 1.4× 107 0.7× 86 966
Çağatay Demiralp United States 13 586 1.6× 33 0.2× 104 0.7× 95 0.6× 189 1.3× 19 899
Gaoyun An China 19 778 2.1× 106 0.6× 96 0.6× 26 0.2× 276 1.9× 115 956
Weiran Wang United States 17 475 1.3× 63 0.4× 57 0.4× 41 0.3× 626 4.4× 56 1.1k
P. Kakumanu United States 8 609 1.6× 32 0.2× 174 1.1× 61 0.4× 71 0.5× 11 830
Mohammad Ali Akhaee Iran 19 841 2.2× 298 1.7× 72 0.5× 224 1.5× 99 0.7× 96 1.3k
Heng Zhao China 13 469 1.2× 258 1.5× 83 0.5× 28 0.2× 93 0.7× 49 740
Pietro Morerio Italy 17 552 1.5× 91 0.5× 123 0.8× 100 0.7× 280 2.0× 62 849
Larbi Boubchir France 18 526 1.4× 129 0.7× 46 0.3× 210 1.4× 72 0.5× 89 925

Countries citing papers authored by Spiros Fotopoulos

Since Specialization
Citations

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

Fields of papers citing papers by Spiros Fotopoulos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Spiros Fotopoulos

This figure shows the co-authorship network connecting the top 25 collaborators of Spiros Fotopoulos. A scholar is included among the top collaborators of Spiros Fotopoulos 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 Spiros Fotopoulos. Spiros Fotopoulos 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.
Kastaniotis, Dimitris, et al.. (2021). Lip Reading by Alternating between Spatiotemporal and Spatial Convolutions. Journal of Imaging. 7(5). 91–91. 17 indexed citations
2.
Tsiganos, Panagiotis, et al.. (2019). Muscle Type and Gender Recognition Utilising High-Level Textural Representation in Musculoskeletal Ultrasonography. Ultrasound in Medicine & Biology. 45(7). 1562–1573. 10 indexed citations
3.
4.
Theodorakopoulos, Ilias, et al.. (2018). Handwritten Signature Verification via Deep Sparse Coding Architecture. 1–5. 8 indexed citations
5.
Dimitriadis, Stavros I., Panagiotis G. Simos, Nikolaos Laskaris, et al.. (2016). Classifying children with reading difficulties from non-impaired readers via symbolic dynamics and complexity analysis of MEG resting-state data. ORCA Online Research @Cardiff (Cardiff University). 333–336. 2 indexed citations
6.
Kastaniotis, Dimitris, et al.. (2015). A framework for gait-based recognition using Kinect. Pattern Recognition Letters. 68. 327–335. 75 indexed citations
7.
Economou, George, et al.. (2014). Using Kinect for Assesing the state of Multiple Sclerosis patients. 7 indexed citations
8.
Theodorakopoulos, Ilias, Dimitris Kastaniotis, George Economou, & Spiros Fotopoulos. (2014). HEp-2 Cells Classification Using Morphological Features and a Bundle of Local Gradient Descriptors. 33–36. 13 indexed citations
9.
Fotopoulos, Spiros & Dimitris Kastaniotis. (2013). KAD - An Intelligent System for Categorizing and Assessing the State of Patients with Multiple Sclerosis.. ERCIM news/ERCIM news online edition. 2013. 2 indexed citations
10.
Kotsia, Irene, Stefanos Zafeiriou, & Spiros Fotopoulos. (2013). Affective Gaming: A Comprehensive Survey. 663–670. 24 indexed citations
11.
Theodorakopoulos, Ilias, Dimitris Kastaniotis, George Economou, & Spiros Fotopoulos. (2013). HEp-2 cells classification via sparse representation of textural features fused into dissimilarity space. Pattern Recognition. 47(7). 2367–2378. 46 indexed citations
12.
Theodorakopoulos, Ilias, George Economou, & Spiros Fotopoulos. (2013). Unsupervised music segmentation via multi-scale processing of compressive features' representation. 1–6. 1 indexed citations
13.
Rigas, Ioannis, George Economou, & Spiros Fotopoulos. (2013). Low-Level Visual Saliency With Application on Aerial Imagery. IEEE Geoscience and Remote Sensing Letters. 10(6). 1389–1393. 12 indexed citations
14.
Theodorakopoulos, Ilias, Dimitris Kastaniotis, George Economou, & Spiros Fotopoulos. (2013). Pose-based human action recognition via sparse representation in dissimilarity space. Journal of Visual Communication and Image Representation. 25(1). 12–23. 72 indexed citations
15.
Kotsia, Irene, Ioannis Patras, & Spiros Fotopoulos. (2012). Affective gaming: Beyond using sensors. 1–4. 3 indexed citations
16.
Theodorakopoulos, Ilias, Ioannis Rigas, George Economou, & Spiros Fotopoulos. (2011). Face recognition via local sparse coding. 54. 1647–1652. 7 indexed citations
17.
Dimitriadis, Stavros I., Nikolaos Laskaris, Vasso Tsirka, et al.. (2011). A novel symbolization scheme for multichannel recordings with emphasis on phase information and its application to differentiate EEG activity from different mental tasks. Cognitive Neurodynamics. 6(1). 107–113. 20 indexed citations
18.
Dimitriadis, Stavros I., Nikolaos Laskaris, Vasso Tsirka, et al.. (2010). Tracking brain dynamics via time-dependent network analysis. Journal of Neuroscience Methods. 193(1). 145–155. 90 indexed citations
19.
Laskaris, Nikolaos, et al.. (2006). Combining self-organizing neural nets with multivariate statistics for efficient color image retrieval. Computer Vision and Image Understanding. 102(3). 250–258. 5 indexed citations
20.
Laskaris, Nikolaos, et al.. (2004). Multivariate Image Segmentation Using Laplacian Eigenmaps. Zenodo (CERN European Organization for Nuclear Research). 945–948. 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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