Joël Jung

890 total citations
42 papers, 551 citations indexed

About

Joël Jung is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Computer Graphics and Computer-Aided Design. According to data from OpenAlex, Joël Jung has authored 42 papers receiving a total of 551 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Computer Vision and Pattern Recognition, 30 papers in Signal Processing and 3 papers in Computer Graphics and Computer-Aided Design. Recurrent topics in Joël Jung's work include Video Coding and Compression Technologies (29 papers), Advanced Vision and Imaging (24 papers) and Advanced Data Compression Techniques (17 papers). Joël Jung is often cited by papers focused on Video Coding and Compression Technologies (29 papers), Advanced Vision and Imaging (24 papers) and Advanced Data Compression Techniques (17 papers). Joël Jung collaborates with scholars based in France, United States and Finland. Joël Jung's co-authors include Béatrice Pesquet‐Popescu, Marco Cagnazzo, Philipp Helle, Benjamin Bross, Gordon Clare, Thomas Wiegand, Kemal Uǧur, Detlev Marpe, Basel Salahieh and Adrian Dziembowski and has published in prestigious journals such as Proceedings of the IEEE, IEEE Transactions on Image Processing and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

Joël Jung

39 papers receiving 534 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Joël Jung France 11 511 412 51 40 19 42 551
Gerhard Tech Germany 11 890 1.7× 735 1.8× 71 1.4× 36 0.9× 6 0.3× 25 916
Sriram Sethuraman United States 13 388 0.8× 180 0.4× 45 0.9× 35 0.9× 6 0.3× 36 414
Sehoon Yea United States 13 649 1.3× 390 0.9× 91 1.8× 82 2.0× 15 0.8× 40 685
Olgierd Stankiewicz Poland 11 426 0.8× 297 0.7× 28 0.5× 48 1.2× 9 0.5× 67 461
Erwin B. Bellers United States 9 353 0.7× 240 0.6× 51 1.0× 17 0.4× 7 0.4× 32 415
Adrian Dziembowski Poland 10 373 0.7× 264 0.6× 26 0.5× 70 1.8× 5 0.3× 62 403
N. Atzpadin Germany 7 419 0.8× 240 0.6× 99 1.9× 54 1.4× 14 0.7× 12 448
Kwan‐Jung Oh South Korea 12 576 1.1× 380 0.9× 117 2.3× 75 1.9× 7 0.4× 46 614
Joe Yuchieh Lin United States 8 522 1.0× 147 0.4× 79 1.5× 7 0.2× 16 0.8× 10 561
Evgeniy Upenik Switzerland 8 289 0.6× 54 0.1× 61 1.2× 45 1.1× 25 1.3× 18 344

Countries citing papers authored by Joël Jung

Since Specialization
Citations

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

Fields of papers citing papers by Joël Jung

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joël Jung

This figure shows the co-authorship network connecting the top 25 collaborators of Joël Jung. A scholar is included among the top collaborators of Joël Jung 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 Joël Jung. Joël Jung 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.
Wien, M & Joël Jung. (2024). Remote expert viewing, laboratory tests or objective metrics: which one(s) to trust?. EURASIP Journal on Image and Video Processing. 2024(1). 1 indexed citations
2.
Yang, Qi, et al.. (2024). TDMD: A Database for Dynamic Color Mesh Quality Assessment Study. IEEE Transactions on Visualization and Computer Graphics. 31(9). 5421–5434.
3.
Yang, Qi, Joël Jung, Xiaozhong Xu, & Shan Liu. (2024). GeodesicPSIM: Predicting the Quality of Static Mesh With Texture Map via Geodesic Patch Similarity. IEEE Transactions on Image Processing. 34. 44–59. 2 indexed citations
4.
Mieloch, Dawid, et al.. (2022). Overview and Efficiency of Decoder-Side Depth Estimation in MPEG Immersive Video. IEEE Transactions on Circuits and Systems for Video Technology. 32(9). 6360–6374. 15 indexed citations
5.
Henry, Félix, et al.. (2021). Immersive Video Coding: Should Geometry Information Be Transmitted as Depth Maps?. IEEE Transactions on Circuits and Systems for Video Technology. 32(5). 3250–3264. 14 indexed citations
6.
Boyce, Jill M., Adrian Dziembowski, Julien Fleureau, et al.. (2021). MPEG Immersive Video Coding Standard. Proceedings of the IEEE. 109(9). 1521–1536. 88 indexed citations
7.
Jung, Joël, et al.. (2017). A BLOCK LEVEL ADAPTIVE MV RESOLUTION FOR VIDEO CODING. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations
8.
Jung, Joël, et al.. (2016). Improved integral images compression based on multi-view extraction. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9971. 99710L–99710L. 3 indexed citations
9.
Lafruit, Gauthier, Marek Domański, Krzysztof Wegner, et al.. (2016). New visual coding exploration in MPEG: Super-MultiView and Free Navigation in Free viewpoint TV. Electronic Imaging. 28(5). 1–9. 24 indexed citations
10.
Jung, Joël, et al.. (2015). Integral images compression scheme based on view extraction. SPIRE - Sciences Po Institutional REpository. 1 indexed citations
11.
Jung, Joël, et al.. (2015). Subjective evaluation of Super Multi-View compressed contents on high-end light-field 3D displays. Signal Processing Image Communication. 39. 369–385. 37 indexed citations
12.
Helle, Philipp, Benjamin Bross, Detlev Marpe, et al.. (2012). Block Merging for Quadtree-Based Partitioning in HEVC. IEEE Transactions on Circuits and Systems for Video Technology. 22(12). 1720–1731. 121 indexed citations
13.
Jung, Joël, et al.. (2010). Intra Coding With Prediction Mode Information Inference. IEEE Transactions on Circuits and Systems for Video Technology. 20(12). 1786–1796. 2 indexed citations
14.
Jung, Joël, et al.. (2008). RD Optimized Coding for Motion Vector Predictor Selection. IEEE Transactions on Circuits and Systems for Video Technology. 18(12). 1681–1691. 48 indexed citations
15.
Jung, Joël, et al.. (2006). A spatio-temporal competing scheme for the rate-distortion optimized selection and coding of motion vectors. 1–5. 7 indexed citations
16.
Jung, Joël, et al.. (2004). Power-scalable video encoder for mobile devices based on collocated motion estimation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5308. 45–45. 1 indexed citations
17.
Jung, Joël, et al.. (2004). Low-power H.264 video decoder with graceful degradation. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5308. 372–372. 3 indexed citations
18.
Jung, Joël, et al.. (2002). Novel approach for temporal filtering of MPEG distortions. IEEE International Conference on Acoustics Speech and Signal Processing. 55. IV–3720.
19.
Jung, Joël, Marc Antonini, & Michel Barlaud. (2000). <title>Removing blocking effects and dropouts in DCT-based video sequences</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 3974. 405–414. 1 indexed citations
20.
Jung, Joël, Marc Antonini, & Michel Barlaud. (1999). Decodage optimal oriente objet pour la suppression des effets de bloc dans les sequences dv et mpeg-2. 1 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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