Moshe Porat

2.4k total citations
86 papers, 1.6k citations indexed

About

Moshe Porat is a scholar working on Computer Vision and Pattern Recognition, Signal Processing and Media Technology. According to data from OpenAlex, Moshe Porat has authored 86 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 67 papers in Computer Vision and Pattern Recognition, 18 papers in Signal Processing and 12 papers in Media Technology. Recurrent topics in Moshe Porat's work include Image and Signal Denoising Methods (51 papers), Advanced Data Compression Techniques (18 papers) and Advanced Image Processing Techniques (12 papers). Moshe Porat is often cited by papers focused on Image and Signal Denoising Methods (51 papers), Advanced Data Compression Techniques (18 papers) and Advanced Image Processing Techniques (12 papers). Moshe Porat collaborates with scholars based in Israel, United States and Switzerland. Moshe Porat's co-authors include Y.Y. Zeevi, Michael Lindenbaum, Gabriel Marshak, Dov Ophir, Hagai Kirshner, Joachim A. Behar, Yehoshua Y. Zeevi, Alfred M. Bruckstein⋆, Nir Cohen and Yonina C. Eldar and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing and IEEE Transactions on Signal Processing.

In The Last Decade

Moshe Porat

76 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Moshe Porat Israel 16 985 271 226 184 125 86 1.6k
Roni Yagel United States 27 1.4k 1.4× 964 3.6× 46 0.2× 77 0.4× 1.4k 11.0× 91 2.4k
Kazufumi Kaneda Japan 20 678 0.7× 281 1.0× 85 0.4× 21 0.1× 514 4.1× 143 1.7k
Wesley E. Snyder United States 19 640 0.6× 85 0.3× 171 0.8× 54 0.3× 35 0.3× 69 1.1k
Mikaël Rousson United States 16 1.4k 1.4× 141 0.5× 183 0.8× 31 0.2× 37 0.3× 23 1.8k
Frank P. Ferrie Canada 18 934 0.9× 162 0.6× 70 0.3× 25 0.1× 85 0.7× 79 1.4k
Davi Geiger United States 22 1.5k 1.5× 213 0.8× 201 0.9× 114 0.6× 105 0.8× 72 2.0k
Paul Bao Hong Kong 17 1.4k 1.4× 93 0.3× 428 1.9× 156 0.8× 68 0.5× 76 1.8k
Vladimir Golkov Germany 6 2.2k 2.3× 99 0.4× 388 1.7× 93 0.5× 60 0.5× 12 3.0k
Michel Gangnet France 11 2.6k 2.7× 423 1.6× 327 1.4× 213 1.2× 824 6.6× 18 3.1k
D. R. K. Brownrigg United Kingdom 6 949 1.0× 130 0.5× 383 1.7× 188 1.0× 19 0.2× 8 1.5k

Countries citing papers authored by Moshe Porat

Since Specialization
Citations

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

Fields of papers citing papers by Moshe Porat

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Moshe Porat

This figure shows the co-authorship network connecting the top 25 collaborators of Moshe Porat. A scholar is included among the top collaborators of Moshe Porat 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 Moshe Porat. Moshe Porat 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.
Friedman, Zvi, et al.. (2020). Simultaneous compression and speckle reduction of clinical breast and fetal ultrasound images using rate-fidelity optimized coding. Ultrasonics. 110. 106229–106229. 1 indexed citations
2.
Agmon, Yoram, et al.. (2017). Assessment of mitral regurgitation by 3-dimensional proximal flow convergence using magnetic resonance imaging: comparison with echo-Doppler. International journal of cardiac imaging. 34(5). 793–802. 7 indexed citations
3.
Kirshner, Hagai, Moshe Porat, & Michaël Unser. (2010). A stochastic minimum-norm approach to image and texture interpolation. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1004–1008. 1 indexed citations
4.
Porat, Moshe, et al.. (2009). On Efficient Quantization For Image Recompression. Zenodo (CERN European Organization for Nuclear Research). 2263–2267.
5.
Porat, Moshe, et al.. (2009). Toward optimal real-time transcoding using requantization in the DCT domain. 3677–3680. 2 indexed citations
6.
Porat, Moshe, et al.. (2008). Optimal Color Image Compression Using Localized Color Components Transforms. Zenodo (CERN European Organization for Nuclear Research). 1–5. 2 indexed citations
7.
Porat, Moshe, et al.. (2007). Correlation Vs. Decorrelation Of Color Components In Image Compression - Which Is Preferred?. INFM-OAR (INFN Catania). 985–989. 4 indexed citations
8.
Porat, Moshe, et al.. (2006). On color transforms and bit allocation for optimal subband image compression. Signal Processing Image Communication. 22(1). 1–18. 23 indexed citations
9.
Kirshner, Hagai, et al.. (2006). Approximating Representation Coefficients From Non Ideal Samples. 3. III–832.
10.
Porat, Moshe, et al.. (2005). Image interpolation using consistent neighborhood correlations. International Conference on Systems. 300–305. 1 indexed citations
11.
Porat, Moshe, et al.. (2005). Does decorrelation really improve color image compression. International Conference on Systems. 306–309. 7 indexed citations
12.
Porat, Moshe. (2002). Localized compression of video conferencing. 784–786. 2 indexed citations
13.
Porat, Moshe, et al.. (2002). A dual transducer approach to ultrasound imaging and spatial deformations. 1. 768–771. 1 indexed citations
14.
Brueller, Nir N., N. Peterfreund, & Moshe Porat. (2002). On non uniform sampling of signals. 1. 249–252. 2 indexed citations
15.
16.
Lindenbaum, Michael, et al.. (1997). The farthest point strategy for progressive image sampling. IEEE Transactions on Image Processing. 6(9). 1305–1315. 403 indexed citations
17.
Zeevi, Yehoshua Y., et al.. (1988). THE MOST SIGNIFICANT EDGES: AN EFFICIENT IMAGE DESCRIPTION FOR MACHINE VISION APPLICATIONS. Machine Vision and Applications. 340–342. 1 indexed citations
18.
Ophir, Dov, Moshe Porat, & Gabriel Marshak. (1987). Myringoplasty in the Pediatric Population. Archives of Otolaryngology - Head and Neck Surgery. 113(12). 1288–1290. 85 indexed citations
19.
Zeevi, Y.Y. & Moshe Porat. (1986). Phasogram: image representation by localized phase. Annual Meeting Optical Society of America. FQ4–FQ4. 1 indexed citations
20.
Zeevi, Yehoshua Y. & Moshe Porat. (1984). Combined frequency-position scheme of image representation in vision (A). 1. 1248. 13 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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