Konstantinos Zagoris

1.2k total citations
34 papers, 723 citations indexed

About

Konstantinos Zagoris is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Media Technology. According to data from OpenAlex, Konstantinos Zagoris has authored 34 papers receiving a total of 723 indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Computer Vision and Pattern Recognition, 13 papers in Artificial Intelligence and 3 papers in Media Technology. Recurrent topics in Konstantinos Zagoris's work include Image Retrieval and Classification Techniques (21 papers), Advanced Image and Video Retrieval Techniques (20 papers) and Handwritten Text Recognition Techniques (19 papers). Konstantinos Zagoris is often cited by papers focused on Image Retrieval and Classification Techniques (21 papers), Advanced Image and Video Retrieval Techniques (20 papers) and Handwritten Text Recognition Techniques (19 papers). Konstantinos Zagoris collaborates with scholars based in Greece, Cyprus and United Kingdom. Konstantinos Zagoris's co-authors include Ioannis Pratikakis, Basilis Gatos, Nikos Papamarkos, Savvas A. Chatzichristofis, Yiannis S. Boutalis, Lazaros Tsochatzidis, Avi Arampatzis, Ergina Kavallieratou, Lena Costaridou and Anna Karahaliou and has published in prestigious journals such as IEEE Transactions on Image Processing, Pattern Recognition and Information Processing & Management.

In The Last Decade

Konstantinos Zagoris

33 papers receiving 680 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Konstantinos Zagoris Greece 16 651 165 165 42 25 34 723
Alastair Moore United Kingdom 5 366 0.6× 231 1.4× 119 0.7× 20 0.5× 36 1.4× 9 625
Litao Yu Australia 8 262 0.4× 174 1.1× 38 0.2× 23 0.5× 31 1.2× 27 399
Yun-Qing Shi United States 11 527 0.8× 71 0.4× 99 0.6× 8 0.2× 25 1.0× 19 603
Belhassen Bayar United States 11 1.1k 1.6× 240 1.5× 261 1.6× 15 0.4× 53 2.1× 13 1.2k
Jidong Zhao China 9 312 0.5× 243 1.5× 49 0.3× 11 0.3× 19 0.8× 17 442
Chakravarthy Bhagvati India 12 318 0.5× 90 0.5× 108 0.7× 9 0.2× 36 1.4× 55 436
Shancheng Fang China 12 562 0.9× 196 1.2× 159 1.0× 15 0.4× 13 0.5× 26 648

Countries citing papers authored by Konstantinos Zagoris

Since Specialization
Citations

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

Fields of papers citing papers by Konstantinos Zagoris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Konstantinos Zagoris

This figure shows the co-authorship network connecting the top 25 collaborators of Konstantinos Zagoris. A scholar is included among the top collaborators of Konstantinos Zagoris 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 Konstantinos Zagoris. Konstantinos Zagoris 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.
Amanatiadis, Angelos, Konstantinos Zagoris, & Ioannis Pratikakis. (2021). Word Spotting as a Service for Handwritten Documents. 2013. 1–2. 2 indexed citations
2.
Zagoris, Konstantinos, Angelos Amanatiadis, & Ioannis Pratikakis. (2021). Word Spotting as a Service: An Unsupervised and Segmentation-Free Framework for Handwritten Documents. Journal of Imaging. 7(12). 278–278. 3 indexed citations
3.
Zagoris, Konstantinos & Ioannis Pratikakis. (2017). Bio-Inspired Modeling for the Enhancement of Historical Handwritten Documents. 287–292. 3 indexed citations
4.
Tsochatzidis, Lazaros, et al.. (2017). Computer-aided diagnosis of mammographic masses based on a supervised content-based image retrieval approach. Pattern Recognition. 71. 106–117. 74 indexed citations
5.
Pratikakis, Ioannis, et al.. (2017). ICDAR2017 Competition on Document Image Binarization (DIBCO 2017). 1395–1403. 82 indexed citations
6.
Papandreou, A., Basilis Gatos, & Konstantinos Zagoris. (2016). An Adaptive Zoning Technique for Word Spotting Using Dynamic Time Warping. 9. 387–392. 4 indexed citations
7.
Pratikakis, Ioannis, Konstantinos Zagoris, Basilis Gatos, et al.. (2016). ICFHR2016 Handwritten Keyword Spotting Competition (H-KWS 2016). RiuNet (Politechnical University of Valencia). 613–618. 21 indexed citations
8.
Tsochatzidis, Lazaros, Konstantinos Zagoris, Michalis A. Savelonas, & Ioannis Pratikakis. (2014). SVM-based CBIR of breast masses on mammograms. International Conference on Artificial Intelligence. 26–30. 3 indexed citations
9.
Pratikakis, Ioannis, Konstantinos Zagoris, Basilis Gatos, Georgios Louloudis, & Nikolaos Stamatopoulos. (2014). ICFHR 2014 Competition on Handwritten Keyword Spotting (H-KWS 2014). 30 indexed citations
10.
Tsochatzidis, Lazaros, Konstantinos Zagoris, Michalis A. Savelonas, et al.. (2014). Microcalcification oriented content-based mammogram retrieval for breast cancer diagnosis. 5. 257–262. 2 indexed citations
11.
Zagoris, Konstantinos, Ioannis Pratikakis, Apostolos Antonacopoulos, Basilis Gatos, & Nikos Papamarkos. (2013). Distinction between handwritten and machine-printed text based on the bag of visual words model. Pattern Recognition. 47(3). 1051–1062. 31 indexed citations
12.
Zagoris, Konstantinos & Ioannis Pratikakis. (2013). Text Detection in Natural Images Using Bio-inspired Models. 1370–1374. 3 indexed citations
14.
Arampatzis, Avi, Konstantinos Zagoris, & Savvas A. Chatzichristofis. (2012). Dynamic two-stage image retrieval from large multimedia databases. Information Processing & Management. 49(1). 274–285. 28 indexed citations
15.
Arampatzis, Avi, Konstantinos Zagoris, & Savvas A. Chatzichristofis. (2011). DUTH at ImageCLEF 2011 Wikipedia Retrieval.. 1 indexed citations
16.
Zagoris, Konstantinos, Ergina Kavallieratou, & Nikos Papamarkos. (2011). Image retrieval systems based on compact shape descriptor and relevance feedback information. Journal of Visual Communication and Image Representation. 22(5). 378–390. 19 indexed citations
17.
Zagoris, Konstantinos & N. Papamarkos. (2010). Text Extraction using Document Structure Features and Support Vector Machines. 5 indexed citations
18.
Zagoris, Konstantinos, Avi Arampatzis, & Savvas A. Chatzichristofis. (2010). www.MMRetrieval.net. 117–118. 8 indexed citations
19.
Chatzichristofis, Savvas A., Konstantinos Zagoris, Yiannis S. Boutalis, & Nikos Papamarkos. (2010). ACCURATE IMAGE RETRIEVAL BASED ON COMPACT COMPOSITE DESCRIPTORS AND RELEVANCE FEEDBACK INFORMATION. International Journal of Pattern Recognition and Artificial Intelligence. 24(2). 207–244. 72 indexed citations
20.
Zagoris, Konstantinos, N. Papamarkos, & C. Chamzas. (2006). Web Document Image Retrieval System Based on Word Spotting. 9. 477–480. 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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