Ioan Tăbuş

1.2k total citations
101 papers, 822 citations indexed

About

Ioan Tăbuş is a scholar working on Computer Vision and Pattern Recognition, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Ioan Tăbuş has authored 101 papers receiving a total of 822 indexed citations (citations by other indexed papers that have themselves been cited), including 56 papers in Computer Vision and Pattern Recognition, 27 papers in Molecular Biology and 26 papers in Artificial Intelligence. Recurrent topics in Ioan Tăbuş's work include Advanced Vision and Imaging (26 papers), Advanced Data Compression Techniques (25 papers) and Gene expression and cancer classification (16 papers). Ioan Tăbuş is often cited by papers focused on Advanced Vision and Imaging (26 papers), Advanced Data Compression Techniques (25 papers) and Gene expression and cancer classification (16 papers). Ioan Tăbuş collaborates with scholars based in Finland, United States and Italy. Ioan Tăbuş's co-authors include Jaakko Astola, Ionut Schiopu, David Cogdell, Bhaskar D. Rao, John J. Dougherty, Ilya Shmulevich, Peter Schelkens, Yu Jia, Moncef Gabbouj and Eduardo A. B. da Silva and has published in prestigious journals such as IEEE Transactions on Image Processing, IEEE Access and Molecular & Cellular Proteomics.

In The Last Decade

Ioan Tăbuş

91 papers receiving 776 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ioan Tăbuş Finland 17 344 307 177 174 41 101 822
Paul Salama United States 16 468 1.4× 261 0.9× 219 1.2× 273 1.6× 44 1.1× 115 1.1k
George Teodoro Brazil 16 278 0.8× 185 0.6× 65 0.4× 330 1.9× 45 1.1× 93 1.0k
Minsu Cho South Korea 14 703 2.0× 176 0.6× 152 0.9× 226 1.3× 44 1.1× 42 1.0k
Qi Song China 14 200 0.6× 229 0.7× 161 0.9× 237 1.4× 23 0.6× 56 805
Nicola Pezzotti Netherlands 13 286 0.8× 237 0.8× 54 0.3× 201 1.2× 57 1.4× 20 904
Weifeng Zhang China 16 191 0.6× 174 0.6× 40 0.2× 189 1.1× 42 1.0× 93 814
Yuhang Liu China 13 245 0.7× 91 0.3× 131 0.7× 199 1.1× 18 0.4× 53 629
Tony Pan United States 17 286 0.8× 201 0.7× 31 0.2× 347 2.0× 75 1.8× 72 940
Hui Cui China 18 248 0.7× 255 0.8× 49 0.3× 356 2.0× 75 1.8× 97 1.1k
Andri Mirzal Malaysia 7 178 0.5× 235 0.8× 45 0.3× 243 1.4× 13 0.3× 23 653

Countries citing papers authored by Ioan Tăbuş

Since Specialization
Citations

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

Fields of papers citing papers by Ioan Tăbuş

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ioan Tăbuş

This figure shows the co-authorship network connecting the top 25 collaborators of Ioan Tăbuş. A scholar is included among the top collaborators of Ioan Tăbuş 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 Ioan Tăbuş. Ioan Tăbuş 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.
Guillemot, Christine, et al.. (2023). Compression of PlenOctree Model Attributes Enabling Fast Communication and Rendering of Neural Radiance Fields. Trepo - Institutional Repository of Tampere University. 590–594.
2.
Battisti, Federica, et al.. (2020). Subjective Quality Evaluation of Light Field Data Under Coding Distortions. Trepo - Institutional Repository of Tampere University. 526–530. 3 indexed citations
3.
Tăbuş, Ioan, et al.. (2016). On the linear programming bound for linear Lee codes. SpringerPlus. 5(1). 246–246. 1 indexed citations
4.
Schiopu, Ionut & Ioan Tăbuş. (2015). Lossy-to-lossless progressive coding of depth-maps. 1–4. 2 indexed citations
5.
Moltchanov, Dmitri, et al.. (2015). Energy efficient wireless sensor networks using linear-programming optimization of the communication schedule. Journal of Communications and Networks. 17(2). 184–197. 14 indexed citations
6.
Yang, Jilong, James A. Eddy, Yuan Pan, et al.. (2010). Integrated Proteomics and Genomics Analysis Reveals a Novel Mesenchymal to Epithelial Reverting Transition in Leiomyosarcoma through Regulation of Slug. Molecular & Cellular Proteomics. 9(11). 2405–2413. 49 indexed citations
7.
Dougherty, John J., Ioan Tăbuş, & Jaakko Astola. (2008). Inference of Gene Regulatory Networks Based on a Universal Minimum Description Length. PubMed. 2008. 1–11. 30 indexed citations
8.
Tăbuş, Ioan, et al.. (2008). On improving the PPM algorithm. 1450–1453. 2 indexed citations
9.
Tăbuş, Ioan, et al.. (2007). Adaptive Design of the Preprocessing Stage for Stereo Lossless Audio Compression. Journal of the Audio Engineering Society. 3 indexed citations
10.
Tăbuş, Ioan, J. Rissanen, & Jaakko Astola. (2007). Normalized maximum likelihood models for genomics. 3. 1–6. 1 indexed citations
11.
Jiang, Rongcai, Ilya Shmulevich, David Cogdell, et al.. (2006). Pathway alterations during glioma progression revealed by reverse phase protein lysate arrays. PROTEOMICS. 6(10). 2964–2971. 55 indexed citations
12.
Tăbuş, Ioan, et al.. (2004). Protein Is Compressible. 192–195. 15 indexed citations
13.
Astola, Jaakko, Edward R. Dougherty, Ilya Shmulevich, & Ioan Tăbuş. (2003). Genomic signal processing. Signal Processing. 83(4). 691–694. 4 indexed citations
14.
Tăbuş, Ioan, et al.. (2002). Using contexts and R–R interval estimation in lossless ECG compression. Computer Methods and Programs in Biomedicine. 67(3). 177–186. 23 indexed citations
15.
Tăbuş, Ioan, et al.. (1999). Integer wavelet transforms based lossless audio compression.. 378–382. 8 indexed citations
16.
Tăbuş, Ioan & Bogdan Dumitrescu. (1999). A new fast method for training stack filters.. 21(7). 511–515. 4 indexed citations
17.
Gabbouj, Moncef, Doina Petrescu, & Ioan Tăbuş. (1995). Edge Detection Based on Optimal Stack Filtering under Given Noise Distribution. 2 indexed citations
18.
Gabbouj, Moncef, Ioan Tăbuş, & Doina Petrescu. (1994). Optimal Stack Filter Design with Symmetry Constraints. European Signal Processing Conference. 1 indexed citations
19.
Gabbouj, Moncef, Doina Petrescu, & Ioan Tăbuş. (1994). Adaptive Skeletonization Using Multistage Boolean and Stack Filtering. European Signal Processing Conference. 3 indexed citations
20.
Tăbuş, Ioan & Moncef Gabbouj. (1994). <title>Stacking-matrix-based fast procedure for optimal stack filter design</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2300. 69–78. 2 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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