Ewa Kijak

827 total citations
32 papers, 360 citations indexed

About

Ewa Kijak is a scholar working on Computer Vision and Pattern Recognition, Media Technology and Signal Processing. According to data from OpenAlex, Ewa Kijak has authored 32 papers receiving a total of 360 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 6 papers in Media Technology and 4 papers in Signal Processing. Recurrent topics in Ewa Kijak's work include Advanced Image and Video Retrieval Techniques (17 papers), Image Retrieval and Classification Techniques (11 papers) and Video Analysis and Summarization (9 papers). Ewa Kijak is often cited by papers focused on Advanced Image and Video Retrieval Techniques (17 papers), Image Retrieval and Classification Techniques (11 papers) and Video Analysis and Summarization (9 papers). Ewa Kijak collaborates with scholars based in France, Brazil and Netherlands. Ewa Kijak's co-authors include Christine Guillemot, Patrick Gros, Sébastien Lefèvre, Petra Bosilj, Guillaume Gravier, Teddy Furon, Laurent Amsaleg, Laurent Amsaleg, Yannis Avrithis and Thanh-Toan Do and has published in prestigious journals such as Neurocomputing, Pattern Recognition Letters and IEEE Journal of Selected Topics in Signal Processing.

In The Last Decade

Ewa Kijak

30 papers receiving 346 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ewa Kijak France 11 291 96 59 59 33 32 360
Yong Ho Moon South Korea 11 330 1.1× 185 1.9× 23 0.4× 54 0.9× 6 0.2× 39 386
Menglong Yang China 10 191 0.7× 86 0.9× 36 0.6× 28 0.5× 25 0.8× 21 315
Shankar Chatterjee United States 6 220 0.8× 28 0.3× 39 0.7× 30 0.5× 7 0.2× 19 294
G.A. Jones United Kingdom 15 405 1.4× 20 0.2× 73 1.2× 49 0.8× 6 0.2× 37 479
D. Farin Netherlands 13 542 1.9× 285 3.0× 26 0.4× 38 0.6× 2 0.1× 28 582
Zhixiang Chen China 11 273 0.9× 15 0.2× 48 0.8× 53 0.9× 24 0.7× 46 411
A. Suruliandi India 10 258 0.9× 49 0.5× 101 1.7× 66 1.1× 6 0.2× 70 396
Lijun Zhao China 12 342 1.2× 17 0.2× 54 0.9× 141 2.4× 24 0.7× 41 491
Srikumar Sastry United States 4 74 0.3× 27 0.3× 42 0.7× 24 0.4× 32 1.0× 13 203

Countries citing papers authored by Ewa Kijak

Since Specialization
Citations

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

Fields of papers citing papers by Ewa Kijak

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ewa Kijak

This figure shows the co-authorship network connecting the top 25 collaborators of Ewa Kijak. A scholar is included among the top collaborators of Ewa Kijak 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 Ewa Kijak. Ewa Kijak 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.
Chaffin, Antoine, Ewa Kijak, & Vincent Claveau. (2024). Distinctive Image Captioning: Leveraging Ground Truth Captions in Clip Guided Reinforcement Learning. 2550–2556.
2.
Kijak, Ewa, et al.. (2023). HDR-LFNet: Inverse tone mapping using fusion network. Computers & Graphics. 114. 1–12. 1 indexed citations
3.
Kijak, Ewa, et al.. (2023). MAAIP. Proceedings of the ACM on Computer Graphics and Interactive Techniques. 6(3). 1–20. 2 indexed citations
4.
Kijak, Ewa, et al.. (2022). AlignMixup: Improving Representations By Interpolating Aligned Features. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 19152–19161. 40 indexed citations
5.
Kijak, Ewa, et al.. (2022). Graph-based image gradients aggregated with random forests. Pattern Recognition Letters. 166. 182–189. 4 indexed citations
6.
Chaffin, Antoine, Thomas Scialom, Sylvain Lamprier, et al.. (2022). Which Discriminator for Cooperative Text Generation?. Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval. 22. 2360–2365. 2 indexed citations
7.
Kijak, Ewa, et al.. (2019). Combining convolutional side-outputs for road image segmentation. HAL (Le Centre pour la Communication Scientifique Directe). 1–8. 15 indexed citations
8.
Bosilj, Petra, Ewa Kijak, & Sébastien Lefèvre. (2018). Partition and Inclusion Hierarchies of Images: A Comprehensive Survey. Journal of Imaging. 4(2). 33–33. 18 indexed citations
9.
Bosilj, Petra, Michael H. F. Wilkinson, Ewa Kijak, & Sébastien Lefèvre. (2016). Local 2D Pattern Spectra as ConnectedRegion Descriptors. SPIRE - Sciences Po Institutional REpository. 1(1). 3 indexed citations
10.
Kijak, Ewa, et al.. (2016). Partial least squares for face hashing. Neurocomputing. 213. 34–47. 4 indexed citations
11.
Bosilj, Petra, Ewa Kijak, Michael H. F. Wilkinson, & Sébastien Lefèvre. (2015). Short local descriptors from 2D connected pattern spectra. University of Groningen research database (University of Groningen / Centre for Information Technology). 8. 1548–1552. 1 indexed citations
12.
Bosilj, Petra, Ewa Kijak, & Sébastien Lefèvre. (2015). Beyond MSER: Maximally Stable Regions using Tree of Shapes. 169.1–169.13. 4 indexed citations
13.
Guillemot, Christine, et al.. (2011). Image Compression Using Sparse Representations and the Iteration-Tuned and Aligned Dictionary. IEEE Journal of Selected Topics in Signal Processing. 5(5). 1061–1073. 57 indexed citations
14.
Do, Thanh-Toan, Ewa Kijak, Teddy Furon, & Laurent Amsaleg. (2010). Challenging the security of Content-Based Image Retrieval systems. HAL (Le Centre pour la Communication Scientifique Directe). 52–57. 5 indexed citations
15.
Do, Thanh-Toan, Ewa Kijak, Teddy Furon, & Laurent Amsaleg. (2010). Deluding image recognition in sift-based cbir systems. 7–12. 23 indexed citations
16.
Zepeda, Joaquin, Ewa Kijak, & Christine Guillemot. (2010). Approximate nearest neighbors using sparse representations. HAL (Le Centre pour la Communication Scientifique Directe). i. 2370–2373. 1 indexed citations
17.
Do, Thanh-Toan, Ewa Kijak, Teddy Furon, & Laurent Amsaleg. (2010). Understanding the security and robustness of SIFT. 1195–1198. 12 indexed citations
18.
Zepeda, Joaquin, Christine Guillemot, & Ewa Kijak. (2010). The Iteration-Tuned Dictionary for sparse representations. 93–98. 4 indexed citations
19.
Kijak, Ewa, et al.. (2004). Hierarchical structure analysis of sport videos using HMMS. 3. II–1025. 22 indexed citations
20.
Kijak, Ewa, et al.. (2003). Temporal structure analysis of broadcast tennis video using hidden Markov models. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5021. 289–289. 10 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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