Matan Protter

5.6k citations
9 papers · 1.5k · 2 hit papers · h-index 7

Impact in

Papers in

Matan Protter

9 papers receiving 1.4k citations

Hit Papers

Asymmetric Loss For Multi-Label Classification 2021 · 323 citations
3230+6+12Years since publication100200300400500

Peers

Matan Protter
Comparison fields: 5 of 101
  • Media Technology 527
  • Computer Vision and Pattern Recognition 1.2k
  • Computational Mechanics 221
  • Signal Processing 88
  • Artificial Intelligence 220
Replace M.J. Black with:
M.J. Black United States
Yacov Hel-Or Israel
Daniel Zoran United States
Yaniv Romano Israel
Egon Pasztor United States
Christian J. Schuler Germany
Moon Gi Kang South Korea
Hongqing Zhu China
Daniel Gläsner United States
Daniel Pak-Kong Lun Hong Kong
Matan Protter relative to M.J. Black United States M.J. Black's profile →
Citations per field
00.5×3.1×
M.J. Black · 1×
Citations per year

Countries citing papers authored by Matan Protter

Since Specialization
Citations

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

Fields of papers citing papers by Matan Protter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Matan Protter, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Matan Protter Line = papers co-authored together Matan Protter links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1
Generalizing the Nonlocal-Means to Super-Resolution Reconstruction
Hit paper breakdown →
2008507
2
Asymmetric Loss For Multi-Label Classification
Hit paper breakdown →
2021323
3 2008246
4 2009215
5 201489
6 201057
7 200711
8
Attention Network Robustification for Person ReID
20194
9 20082

About Matan Protter

Matan Protter is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Media Technology, Biomedical Engineering and Civil and Structural Engineering, having authored 9 papers that have together received 1.5k indexed citations. Recurring topics across this work include Image and Signal Denoising Methods (6 papers), Advanced Image Processing Techniques (4 papers), Sparse and Compressive Sensing Techniques (4 papers), Image Processing Techniques and Applications (2 papers), Video Surveillance and Tracking Methods (1 paper), Face recognition and analysis (1 paper), Photoacoustic and Ultrasonic Imaging (1 paper) and Gait Recognition and Analysis (1 paper). The work is most often cited by research in Media Technology (527 citations), Computer Vision and Pattern Recognition (1.2k citations), Computational Mechanics (221 citations), Signal Processing (88 citations) and Artificial Intelligence (220 citations). Matan Protter has collaborated with scholars based in Israel, United States and Cayman Islands. Frequent co-authors include Michael Elad, Peyman Milanfar, Hiroyuki Takeda, Itamar Friedman, Lihi Zelnik‐Manor, Asaf Noy, Tal Ridnik, Emanuel Ben-Baruch, Yaniv Romano and Irad Yavneh. Their work appears in journals such as IEEE Transactions on Image Processing, IEEE Transactions on Signal Processing, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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