N. Peterfreund
Impact in
-
- Advanced Vision and Imaging
- Video Surveillance and Tracking Methods
- Medical Image Segmentation Techniques
- Image and Object Detection Techniques
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
Papers in
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- Advanced Vision and Imaging 7
- Medical Image Segmentation Techniques 4
- Image and Signal Denoising Methods 3
- Advanced Image Processing Techniques 2
- Co-authors
- Y.Y. ZeeviYoram BaramMoshe PoratNir N. BruellerE. ShlomotNahum ShimkinHaitao YangDror Irony
- Journals
- IEEE Transactions on Image Processing (2 papers)International Journal of Computer Vision (1 paper)IEEE Transactions on Automatic Control (1 paper)Neural Processing Letters (1 paper)Computer Vision and Image Understanding (1 paper)
- Partner nations
- United StatesIsraelUnited Kingdom
In The Last Decade
N. Peterfreund
15 papers receiving 243 citations
Peers
Comparison fields: 5 of 48
- Computer Vision and Pattern Recognition 234
- Computer Graphics and Computer-Aided Design 10
- Media Technology 21
- Aerospace Engineering 46
- Human-Computer Interaction 9
Countries citing papers authored by N. Peterfreund
This map shows the geographic impact of N. Peterfreund'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 N. Peterfreund with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Peterfreund more than expected).
Fields of papers citing papers by N. Peterfreund
This network shows the impact of papers produced by N. Peterfreund. 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 N. Peterfreund. The network helps show where N. Peterfreund may publish in the future.
Co-authorship network
The 11 scholars most cited alongside N. Peterfreund, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 1 | |
| 2 | Asynchronous SGD without gradient delay for efficient distributed training | 2018 | 1 |
| 3 | 2017 | 2 | |
| 4 | 2003 | 4 | |
| 5 | 2002 | 7 | |
| 6 | 2002 | 2 | |
| 7 | 2002 | 2 | |
| 8 | 2002 | 9 | |
| 9 | 1999 | 2 | |
| 10 | 1999 | 181 | |
| 11 | 1999 | 31 | |
| 12 | 1998 | 7 | |
| 13 | 1998 | 0 | |
| 14 | 1997 | 0 | |
| 15 | 1995 | 10 | |
| 16 | 1994 | 6 | |
| 17 | 1988 | 8 |
About N. Peterfreund
N. Peterfreund is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Computer Networks and Communications, Biophysics and Statistical and Nonlinear Physics, having authored 17 papers that have together received 273 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (7 papers), Medical Image Segmentation Techniques (4 papers), Neural Networks Stability and Synchronization (4 papers), Image and Signal Denoising Methods (3 papers), Neural Networks and Applications (3 papers), Sparse and Compressive Sensing Techniques (2 papers), Robotics and Sensor-Based Localization (2 papers) and Advanced Image Processing Techniques (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (234 citations), Computer Graphics and Computer-Aided Design (10 citations), Media Technology (21 citations), Aerospace Engineering (46 citations) and Human-Computer Interaction (9 citations). N. Peterfreund has collaborated with scholars based in United States, Israel and United Kingdom. Frequent co-authors include Y.Y. Zeevi, Yoram Baram, Moshe Porat, Nir N. Brueller, E. Shlomot, Nahum Shimkin, Haitao Yang, Dror Irony, A. Guez and Itsik Dvir. Their work appears in journals such as IEEE Transactions on Image Processing, International Journal of Computer Vision, IEEE Transactions on Automatic Control, Neural Processing Letters and Computer Vision and Image Understanding.
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.