Gil Raz

1.3k citations
25 papers · 905 · h-index 11

Impact in

    • Sparse and Compressive Sensing Techniques
    • Advanced Adaptive Filtering Techniques
    • Blind Source Separation Techniques
    • Speech and Audio Processing

Papers in

Gil Raz

23 papers receiving 848 citations

Peers

Gil Raz
Comparison fields: 5 of 66
  • Computational Mechanics 646
  • Signal Processing 312
  • Acoustics and Ultrasonics 12
  • Computational Mathematics 5
  • Biomedical Engineering 300
Replace Patrick Kuppinger with:
Patrick Kuppinger Switzerland
Rayan Saab United States
Karin Schnass Switzerland
Zvika Ben‐Haim Israel
Badri Narayan Bhaskar United States
Jeffrey D. Blanchard United States
Michael Davies United Kingdom
Wenjun Zeng Hong Kong
Kiryung Lee United States
Gil Raz relative to Patrick Kuppinger Switzerland Patrick Kuppinger's profile →
Citations per field
00.5×1.5×
Patrick Kuppinger · 1×
Citations per year

Countries citing papers authored by Gil Raz

Since Specialization
Citations

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

Fields of papers citing papers by Gil Raz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Gil Raz, 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 Gil Raz Line = papers co-authored together Gil Raz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2010276
2 2007221
3 2008154
4 199881
5 200934
6 200829
7 200028
8 201716
9 201215
10 201710
11 201710
12 20028
13 20183
14 20193
15 20073
16 20183
17 20102
18 20022
19 20152
20 20171

About Gil Raz

Gil Raz is a scholar working on Computational Mechanics, Electrical and Electronic Engineering, Biomedical Engineering, Signal Processing and Sociology and Political Science, having authored 25 papers that have together received 905 indexed citations. Recurring topics across this work include Sparse and Compressive Sensing Techniques (6 papers), Advanced Adaptive Filtering Techniques (4 papers), Blind Source Separation Techniques (3 papers), Spectroscopy and Chemometric Analyses (3 papers), Spectroscopy and Laser Applications (3 papers), Chinese history and philosophy (3 papers), Microwave Imaging and Scattering Analysis (2 papers) and Control Systems and Identification (2 papers). The work is most often cited by research in Computational Mechanics (646 citations), Signal Processing (312 citations), Acoustics and Ultrasonics (12 citations), Computational Mathematics (5 citations) and Biomedical Engineering (300 citations). Gil Raz has collaborated with scholars based in United States. Frequent co-authors include Robert D. Nowak, Jarvis Haupt, Waheed U. Bajwa, B.D. Van Veen, Stephen J. Wright, Benjamin A. Miller, Rui Castro, Anish K. Goyal, D. B. Kelley and D. Wood. Their work appears in journals such as IEEE Transactions on Network Science and Engineering, IEEE Transactions on Signal Processing, IEEE Transactions on Information Theory, Review of Scientific Instruments and Philosophy East and West.

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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