Omry Sendik

438 total citations
13 papers, 288 citations indexed

About

Omry Sendik is a scholar working on Computer Vision and Pattern Recognition, Atmospheric Science and Signal Processing. According to data from OpenAlex, Omry Sendik has authored 13 papers receiving a total of 288 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Computer Vision and Pattern Recognition, 4 papers in Atmospheric Science and 3 papers in Signal Processing. Recurrent topics in Omry Sendik's work include Generative Adversarial Networks and Image Synthesis (5 papers), Precipitation Measurement and Analysis (4 papers) and Radio Wave Propagation Studies (3 papers). Omry Sendik is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (5 papers), Precipitation Measurement and Analysis (4 papers) and Radio Wave Propagation Studies (3 papers). Omry Sendik collaborates with scholars based in Israel, United States and Japan. Omry Sendik's co-authors include Hagit Messer, Daniel Cohen‐Or, Tomer Peleg, Pablo Székely, Noam David, Pinhas Alpert, Yosi Keller, E. Cohen, Shmuel Ravid and Ofir Degani and has published in prestigious journals such as ACM Transactions on Graphics, Bulletin of the American Meteorological Society and IEEE Transactions on Microwave Theory and Techniques.

In The Last Decade

Omry Sendik

13 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Omry Sendik Israel 9 136 97 66 54 53 13 288
Thibaud Ehret France 10 161 1.2× 31 0.3× 14 0.2× 19 0.4× 11 0.2× 40 257
Bowen Chen China 7 132 1.0× 76 0.8× 11 0.2× 39 0.7× 18 0.3× 13 329
Yan Ju United States 7 110 0.8× 26 0.3× 6 0.1× 40 0.7× 54 1.0× 8 291
Xianyu Jin China 5 217 1.6× 16 0.2× 10 0.2× 32 0.6× 19 0.4× 10 313
Nannan Qin China 9 31 0.2× 11 0.1× 99 1.5× 15 0.3× 7 0.1× 18 187
Erik Franz Germany 3 117 0.9× 18 0.2× 13 0.2× 18 0.3× 2 0.0× 3 213
Lilian Aveneau France 10 35 0.3× 4 0.0× 13 0.2× 44 0.8× 146 2.8× 32 216
Zhuoqian Yang China 8 228 1.7× 19 0.2× 13 0.2× 102 1.9× 5 0.1× 11 289
Sean I. Young United States 8 103 0.8× 11 0.1× 10 0.2× 6 0.1× 15 0.3× 21 188
Tilo Ochotta Germany 7 150 1.1× 36 0.4× 66 1.0× 31 0.6× 10 292

Countries citing papers authored by Omry Sendik

Since Specialization
Citations

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

Fields of papers citing papers by Omry Sendik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Omry Sendik

This figure shows the co-authorship network connecting the top 25 collaborators of Omry Sendik. A scholar is included among the top collaborators of Omry Sendik 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 Omry Sendik. Omry Sendik is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

13 of 13 papers shown
1.
Sendik, Omry, Dani Lischinski, & Daniel Cohen‐Or. (2020). Unsupervised K -modal styled content generation. ACM Transactions on Graphics. 39(4). 4 indexed citations
2.
Peleg, Tomer, et al.. (2019). IM-Net for High Resolution Video Frame Interpolation. 2393–2402. 50 indexed citations
3.
Sendik, Omry, Dani Lischinski, & Daniel Cohen‐Or. (2019). What's in a Face? Metric Learning for Face Characterization. Computer Graphics Forum. 38(2). 405–416. 2 indexed citations
4.
Sendik, Omry & Yosi Keller. (2019). DeepAge: Deep Learning of face-based age estimation. Signal Processing Image Communication. 78. 368–375. 17 indexed citations
5.
David, Noam, Omry Sendik, Hagit Messer, et al.. (2019). Analyzing the ability to reconstruct the moisture field using commercial microwave network data. Atmospheric Research. 219. 213–222. 11 indexed citations
6.
Sendik, Omry & Daniel Cohen‐Or. (2017). Deep correlations for texture synthesis. ACM Transactions on Graphics. 36(4). 1–1. 24 indexed citations
7.
Sendik, Omry & Daniel Cohen‐Or. (2017). Deep Correlations for Texture Synthesis. ACM Transactions on Graphics. 36(4). 1–1. 18 indexed citations
8.
Sendik, Omry & Daniel Cohen‐Or. (2017). Deep Correlations for Texture Synthesis. ACM Transactions on Graphics. 36(5). 1–15. 27 indexed citations
9.
Messer, Hagit & Omry Sendik. (2015). A New Approach to Precipitation Monitoring: A critical survey of existing technologies and challenges. IEEE Signal Processing Magazine. 32(3). 110–122. 65 indexed citations
10.
Sendik, Omry & Hagit Messer. (2014). On the achievable coverage of rain field mapping using measurements from a given set of microwave links. 11. 1–4. 1 indexed citations
11.
David, Noam, Omry Sendik, Hagit Messer, & Pinhas Alpert. (2014). Cellular Network Infrastructure: The Future of Fog Monitoring?. Bulletin of the American Meteorological Society. 96(10). 1687–1698. 32 indexed citations
12.
Sendik, Omry & Hagit Messer. (2012). On the reconstructability of images sampled by random line projections. 3. 1–5. 8 indexed citations
13.
Degani, Ofir, E. Cohen, V. E. Kravtsov, et al.. (2010). A 90-nm CMOS Power Amplifier for 802.16e (WiMAX) Applications. IEEE Transactions on Microwave Theory and Techniques. 58(5). 1431–1437. 29 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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