Nir Sochen

6.9k total citations · 1 hit paper
128 papers, 3.7k citations indexed

About

Nir Sochen is a scholar working on Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging and Computational Mechanics. According to data from OpenAlex, Nir Sochen has authored 128 papers receiving a total of 3.7k indexed citations (citations by other indexed papers that have themselves been cited), including 71 papers in Computer Vision and Pattern Recognition, 25 papers in Radiology, Nuclear Medicine and Imaging and 19 papers in Computational Mechanics. Recurrent topics in Nir Sochen's work include Image and Signal Denoising Methods (37 papers), Medical Image Segmentation Techniques (31 papers) and Advanced Image Processing Techniques (21 papers). Nir Sochen is often cited by papers focused on Image and Signal Denoising Methods (37 papers), Medical Image Segmentation Techniques (31 papers) and Advanced Image Processing Techniques (21 papers). Nir Sochen collaborates with scholars based in Israel, United States and Germany. Nir Sochen's co-authors include Y.Y. Zeevi, Ron Kimmel, Guy Gilboa, R. Malladi, Ofer Pasternak, Yaniv Gur, Yaniv Assaf, Nathan Intrator, Nahum Kiryati and Leah Bar and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Physical Review Letters and IEEE Transactions on Pattern Analysis and Machine Intelligence.

In The Last Decade

Nir Sochen

122 papers receiving 3.5k citations

Hit Papers

Free water elimination and mapping from diffusion MRI 2009 2026 2014 2020 2009 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
Nir Sochen Israel 25 2.2k 979 709 560 211 128 3.7k
Luis Álvarez Spain 24 2.8k 1.3× 387 0.4× 723 1.0× 601 1.1× 252 1.2× 120 4.3k
Chiu‐Yen Kao United States 24 1.8k 0.8× 771 0.8× 469 0.7× 339 0.6× 47 0.2× 63 3.9k
Xavier Bresson Switzerland 26 2.4k 1.1× 528 0.5× 573 0.8× 900 1.6× 87 0.4× 65 3.4k
Marc Niethammer United States 33 2.2k 1.0× 1.7k 1.7× 157 0.2× 320 0.6× 82 0.4× 179 5.1k
Kaleem Siddiqi Canada 37 3.8k 1.7× 922 0.9× 414 0.6× 1.0k 1.8× 577 2.7× 114 5.4k
Joachim Weickert Germany 18 2.8k 1.3× 573 0.6× 670 0.9× 652 1.2× 247 1.2× 39 3.9k
Christian Barillot France 34 2.1k 1.0× 1.7k 1.7× 542 0.8× 308 0.6× 151 0.7× 201 4.5k
Joachim Weickert Germany 35 4.5k 2.0× 615 0.6× 947 1.3× 697 1.2× 402 1.9× 118 5.8k
Laurent Younès United States 45 2.9k 1.3× 2.1k 2.1× 88 0.1× 1.0k 1.8× 149 0.7× 143 6.7k
Arvid Lundervold Norway 29 1.0k 0.5× 1.2k 1.2× 221 0.3× 265 0.5× 30 0.1× 116 3.4k

Countries citing papers authored by Nir Sochen

Since Specialization
Citations

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

Fields of papers citing papers by Nir Sochen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nir Sochen

This figure shows the co-authorship network connecting the top 25 collaborators of Nir Sochen. A scholar is included among the top collaborators of Nir Sochen 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 Nir Sochen. Nir Sochen 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.
Cohen, Yafit, Nurit Agam, Arnon Karnieli, et al.. (2017). Future approaches to facilitate large-scale adoption of thermal based images as key input in the production of dynamic irrigation management zones. Advances in Animal Biosciences. 8(2). 546–550. 4 indexed citations
2.
Morozov, Darya, Leah Bar, Nir Sochen, & Yoram Cohen. (2015). Pore sizes and directionality in microcapillaries from angular double-pulsed-field-gradient NMR. Microporous and Mesoporous Materials. 225. 105–115. 2 indexed citations
3.
Raviv, Dan, Alexander M. Bronstein, Michael M. Bronstein, et al.. (2013). Equi-affine Invariant Geometry for Shape Analysis. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
4.
Levie, Ron, et al.. (2013). Adjoint translation, adjoint observable and uncertainty principles. Advances in Computational Mathematics. 40(3). 609–627. 2 indexed citations
5.
Morozov, Darya, Leah Bar, Nir Sochen, & Yoram Cohen. (2012). Measuring small compartments with relatively weak gradients by angular double-pulsed-field-gradient NMR. Magnetic Resonance Imaging. 31(3). 401–407. 10 indexed citations
6.
Trattner, Sigal, Micha Feigin, Hayit Greenspan, & Nir Sochen. (2011). Validity criterion for the Born approximation convergence in microscopy imaging: reply to comment. Journal of the Optical Society of America A. 28(4). 665–665. 2 indexed citations
7.
Stark, Hans‐Georg & Nir Sochen. (2010). Square Integrable Group Representations and the Uncertainty Principle. Journal of Fourier Analysis and Applications. 17(5). 916–931. 3 indexed citations
8.
Sagiv, Chen, Nir Sochen, & Y.Y. Zeevi. (2006). Integrated active contours for texture segmentation. IEEE Transactions on Image Processing. 15(6). 1633–1646. 147 indexed citations
9.
Katzav, Eytan, et al.. (2006). Distribution of Anomalous Exponents of Natural Images. Physical Review Letters. 97(10). 103902–103902. 3 indexed citations
10.
Gilboa, Guy, Nir Sochen, & Y.Y. Zeevi. (2006). Estimation of optimal PDE-based denoising in the SNR sense. IEEE Transactions on Image Processing. 15(8). 2269–2280. 78 indexed citations
11.
Kimmel, Ron, et al.. (2005). Scale space and PDE methods in computer vision : 5th International Conference, Scale- Space 2005, Hofgeismar, Germany, April 7-9, 2005 : proceedings. Springer eBooks. 5 indexed citations
12.
Sochen, Nir, et al.. (2005). A variational inequality for discontinuous solutions of degenerate parabolic equations. Hispana. 99(2). 243–256. 2 indexed citations
13.
Pasternak, Ofer, Nathan Intrator, Nir Sochen, & Yaniv Assaf. (2005). Neuronal Fiber Delineation in Area of Edema from Diffusion Weighted MRI. Neural Information Processing Systems. 18. 1075–1080. 2 indexed citations
14.
Sochen, Nir, et al.. (2005). A Maximum Principle for Beltrami Color Flow. SIAM Journal on Applied Mathematics. 65(5). 1615–1632. 3 indexed citations
15.
Sagiv, Chen, Nir Sochen, & Yehoshua Y. Zeevi. (2004). Texture segmentation via a diffusion-segmentation scheme in the Gabor feature space. American Journal of Physical Medicine & Rehabilitation. 90(2). 119–27. 21 indexed citations
16.
Tankus, Ariel, Nir Sochen, & Yehezkel Yeshurun. (2003). A new perspective [on] shape-from-shading. 15 indexed citations
17.
Sochen, Nir & Y.Y. Zeevi. (2002). Super-resolution of grey-level images by inverse diffusion processes. 1. 91–95. 2 indexed citations
18.
Malladi, R., Ron Kimmel, & Nir Sochen. (2001). Images as embedded maps and minimal surfaces: Movies, color,texture, and medical images. International Journal of Computer Vision. 39(2). 12–27. 1 indexed citations
19.
Gilboa, Guy, Y.Y. Zeevi, & Nir Sochen. (2000). Signal And Image Enhancement By A Generalized Forward-And-Backward Adaptive Diffusion Process. INFM-OAR (INFN Catania). 1–4. 3 indexed citations
20.
Sochen, Nir, et al.. (1998). Representation of images by surfaces and higher dimensional manifolds in non-Euclidean space. 469–476. 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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