Noa Garnett

13 total papers · 475 total citations
5 papers, 259 citations indexed

About

Noa Garnett is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Signal Processing. According to data from OpenAlex, Noa Garnett has authored 5 papers receiving a total of 259 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Computer Vision and Pattern Recognition, 3 papers in Automotive Engineering and 1 paper in Signal Processing. Recurrent topics in Noa Garnett's work include Autonomous Vehicle Technology and Safety (3 papers), Advanced Neural Network Applications (3 papers) and Gaze Tracking and Assistive Technology (1 paper). Noa Garnett is often cited by papers focused on Autonomous Vehicle Technology and Safety (3 papers), Advanced Neural Network Applications (3 papers) and Gaze Tracking and Assistive Technology (1 paper). Noa Garnett collaborates with scholars based in Israel. Noa Garnett's co-authors include Dan Levi, Ethan Fetaya, Rafi Cohen, Shaul Oron, Oded Bialer, Ariel Telpaz, Omer Tsimhoni and Ke Liu and has published in prestigious journals such as ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

In The Last Decade

Noa Garnett

5 papers receiving 244 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Noa Garnett 208 144 57 41 38 5 259
Peide Cai 192 0.9× 143 1.0× 29 0.5× 23 0.6× 44 1.2× 12 316
Manwen Liao 157 0.8× 105 0.7× 17 0.3× 18 0.4× 22 0.6× 5 233
Yeongmin Ko 194 0.9× 167 1.2× 39 0.7× 15 0.4× 18 0.5× 11 258
Hanting Yang 85 0.4× 78 0.5× 46 0.8× 16 0.4× 55 1.4× 9 264
Stefano Cattani 209 1.0× 129 0.9× 41 0.7× 8 0.2× 96 2.5× 14 302
G. Piccioli 259 1.2× 73 0.5× 26 0.5× 17 0.4× 38 1.0× 8 295
Rafi Cohen 239 1.1× 107 0.7× 34 0.6× 19 0.5× 21 0.6× 13 268
Yuxiao Zhang 78 0.4× 79 0.5× 44 0.8× 15 0.4× 54 1.4× 9 245
Zhenglun Sun 242 1.2× 145 1.0× 11 0.2× 19 0.5× 25 0.7× 3 320
Thomas Kalinke 281 1.4× 134 0.9× 10 0.2× 17 0.4× 27 0.7× 7 326

Countries citing papers authored by Noa Garnett

Since Specialization
Citations

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

Fields of papers citing papers by Noa Garnett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Noa Garnett

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

All Works

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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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