Ofer Hadar

1.7k citations
143 papers · 1.1k indexed · h-index 17

Ofer Hadar

130 papers receiving 1.0k citations

Peers

Ofer Hadar
Comparison fields: 5 of 83
  • Computer Vision and Pattern Recognition 732
  • Signal Processing 379
  • Media Technology 205
  • Acoustics and Ultrasonics 5
  • Computer Networks and Communications 116
Replace Zhao Wang with:
Zhao Wang China
David Tolliver United States
Khurram Shafique United States
Wei Pu China
Fan Zhou China
Hongyu Li China
Huaibo Huang China
H. Harlyn Baker United States
Rong Xie China
Ofer Hadar relative to Zhao Wang China Zhao Wang's profile →
Citations per field
00.5×7.1×
Zhao Wang · 1×
Citations per year

Countries citing papers authored by Ofer Hadar

Since Specialization
Citations

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

Fields of papers citing papers by Ofer Hadar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Ofer Hadar, 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 Ofer Hadar Line = papers co-authored together Ofer Hadar links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20250
2 20250
3 20241
4 20240
5 20234
6 20230
7 20236
8 20232
9 20215
10 20174
11 20174
12 20162
13 20151
14 20156
15 2013163
16 20103
17
A musical source separation system with lyrics alignment
20061
18 200199
19 20013
20 19922

About Ofer Hadar

Ofer Hadar is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Media Technology, Acoustics and Ultrasonics and Computer Networks and Communications, having authored 143 papers that have together received 1.1k indexed citations. Recurring topics across this work include Video Coding and Compression Technologies (43 papers), Image and Video Quality Assessment (39 papers), Advanced Data Compression Techniques (29 papers), Advanced Vision and Imaging (24 papers), Advanced Image Processing Techniques (21 papers), Image and Signal Denoising Methods (20 papers), Infrared Target Detection Methodologies (19 papers) and Network Traffic and Congestion Control (13 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (732 citations), Signal Processing (379 citations), Media Technology (205 citations), Acoustics and Ultrasonics (5 citations) and Computer Networks and Communications (116 citations). Ofer Hadar has collaborated with scholars based in Israel, United States and Czechia. Frequent co-authors include Dan Grois, Detlev Marpe, Amit Dvir, Stanley R. Rotman, Norman S. Kopeika, Adrian Stern, Howard T. Thaler, Bahram Javidi, Lucy E. Hann and Catherine S. Giess. Their work appears in journals such as Multimedia Tools and Applications, Optical Engineering, Signal Processing Image Communication, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing and Sensors.

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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