J. Bormans

1.7k total citations · 1 hit paper
39 papers, 1.1k citations indexed

About

J. Bormans is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Hardware and Architecture. According to data from OpenAlex, J. Bormans has authored 39 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Computer Vision and Pattern Recognition, 24 papers in Signal Processing and 5 papers in Hardware and Architecture. Recurrent topics in J. Bormans's work include Advanced Data Compression Techniques (25 papers), Video Coding and Compression Technologies (20 papers) and Image and Signal Denoising Methods (9 papers). J. Bormans is often cited by papers focused on Advanced Data Compression Techniques (25 papers), Video Coding and Compression Technologies (20 papers) and Image and Signal Denoising Methods (9 papers). J. Bormans collaborates with scholars based in Belgium, Netherlands and United States. J. Bormans's co-authors include Fernando Pereira, Thomas Wedi, Thomas Stockhammer, Peter List, Jörn Östermann, Detlev Marpe, Matthias Narroschke, Gauthier Lafruit, Lode Nachtergaele and Rik Van de Walle and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Signal Processing Magazine and IEEE Transactions on Circuits and Systems for Video Technology.

In The Last Decade

J. Bormans

36 papers receiving 1.0k citations

Hit Papers

Video coding with H.264/AVC: tools, performance, and comp... 2004 2026 2011 2018 2004 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Bormans Belgium 11 882 802 171 162 114 39 1.1k
Uwe Horn Germany 12 293 0.3× 260 0.3× 116 0.7× 458 2.8× 351 3.1× 19 747
Leonardo Chiariglione Italy 8 246 0.3× 164 0.2× 47 0.3× 86 0.5× 38 0.3× 46 372
Mengbai Xiao United States 11 328 0.4× 195 0.2× 57 0.3× 214 1.3× 84 0.7× 45 463
Abdelhak Bentaleb Singapore 16 918 1.0× 566 0.7× 222 1.3× 532 3.3× 114 1.0× 59 1.1k
Stuart Sechrest United States 15 167 0.2× 141 0.2× 48 0.3× 557 3.4× 165 1.4× 34 767
Anthony Joch Canada 5 3.1k 3.5× 2.9k 3.7× 284 1.7× 244 1.5× 306 2.7× 5 3.4k
O. Verscheure United States 11 225 0.3× 246 0.3× 52 0.3× 309 1.9× 133 1.2× 32 528
Lode Nachtergaele Belgium 13 207 0.2× 191 0.2× 24 0.1× 371 2.3× 243 2.1× 40 873
S. Viswanathan United States 5 197 0.2× 213 0.3× 226 1.3× 1.1k 6.9× 173 1.5× 7 1.2k
James D. Salehi United States 9 332 0.4× 265 0.3× 136 0.8× 624 3.9× 185 1.6× 13 776

Countries citing papers authored by J. Bormans

Since Specialization
Citations

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

Fields of papers citing papers by J. Bormans

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Bormans

This figure shows the co-authorship network connecting the top 25 collaborators of J. Bormans. A scholar is included among the top collaborators of J. Bormans 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 J. Bormans. J. Bormans 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
2.
Saponara, Sergio, et al.. (2004). Performance and Complexity Co-evaluation of the Advanced Video Coding Standard for Cost-Effective Multimedia Communications. SHILAP Revista de lepidopterología. 44 indexed citations
3.
Östermann, Jörn, J. Bormans, Peter List, et al.. (2004). Video coding with H.264/AVC: tools, performance, and complexity. IEEE Circuits and Systems Magazine. 4(1). 7–28. 606 indexed citations breakdown →
4.
Lafruit, Gauthier, et al.. (2004). View-Dependent, Scalable Texture Streaming in 3-D QoS With MPEG-4 Visual Texture Coding. IEEE Transactions on Circuits and Systems for Video Technology. 14(7). 1021–1031. 5 indexed citations
5.
Bormans, J., Nam Pham Ngoc, Geert Deconinck, & Gauthier Lafruit. (2003). Terminal QoS: advanced resource management for cost-effective multimedia applications. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 2 indexed citations
6.
Lafruit, Gauthier, et al.. (2003). Terminal QoS for real-time 3-D visualization using scalable mpeg-4 coding. IEEE Transactions on Circuits and Systems for Video Technology. 13(11). 1136–1143.
7.
Bormans, J., et al.. (2003). MPEG-21: The 21st century multimedia framework. IEEE Signal Processing Magazine. 20(2). 53–62. 69 indexed citations
8.
Lafruit, Gauthier, et al.. (2002). Complexity Assessment of the AVC Codec with ATOMIUM. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles).
10.
Bormans, J., et al.. (2002). A fractal-based region-oriented color image compression scheme for VLSI implementation. 135. 482–490. 1 indexed citations
11.
Lafruit, Gauthier, Lode Nachtergaele, Kristof Denolf, & J. Bormans. (2002). 3D computational graceful degradation. 3. 547–550. 16 indexed citations
12.
Saponara, Sergio, et al.. (2002). Data transfer and storage complexity analysis of the AVC/JVT Codec on a tool-by-tool basis. CINECA IRIS Institutial research information system (University of Pisa). 1–24. 3 indexed citations
13.
Nachtergaele, Lode, et al.. (2001). Power and Speed-Efficient Code Transformation of Video Compression Algorithms for RISC Processors. The Journal of VLSI Signal Processing Systems for Signal Image and Video Technology. 27(1-2). 161–169. 2 indexed citations
14.
Nachtergaele, Lode, Gauthier Lafruit, J. Bormans, & I. Bolsens. (2000). Fast software implementation of the MPEG-4 reversible integer wavelet transform on Pentium MMX, Sharc ADSP and Trimedia TM1000. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 2 indexed citations
15.
Lafruit, Gauthier, et al.. (1999). A Scalable Architecture for MPEG-4 Wavelet Quantization. International Journal of Circuits Systems and Signal Processing. 23(1). 93–107. 1 indexed citations
16.
Nachtergaele, Lode, et al.. (1999). Implementation of a scalable MPEG-4 wavelet-based visual texture compression system. 333–336. 10 indexed citations
17.
Nachtergaele, Lode, et al.. (1999). Study of the VM5.2 Memory Complexity for Cost Efficient Implementation. VUBIR (Vrije Universiteit Brussel). 3 indexed citations
18.
Brockmeyer, Erik, Lode Nachtergaele, Francky Catthoor, J. Bormans, & H.J. De Man. (1999). Low power memory storage and transfer organization for the MPEG-4 full pel motion estimation on a multimedia processor. IEEE Transactions on Multimedia. 1(2). 202–216. 30 indexed citations
19.
Lafruit, Gauthier, et al.. (1998). Design of an Arithmetic coder for a Hardware Wavelet compression engine. Dépôt institutionnel de l'Université libre de Bruxelles (Université Libre de Bruxelles). 7 indexed citations
20.
Christopoulos, C., J. Bormans, Athanassios Skodras, & Jan Cornelis. (1994). <title>Efficient computation of the two-dimensional fast cosine transform</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2238. 229–237. 4 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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