Noa Garnett

478 total citations
5 papers, 274 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 274 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 Indoor and Outdoor Localization Technologies (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 Indoor and Outdoor Localization Technologies (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, Omer Tsimhoni, Ariel Telpaz 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 259 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Noa Garnett Israel	4	223	158	56	42	38	5	274
Peide Cai Hong Kong	9	195 0.9×	148 0.9×	29 0.5×	24 0.6×	45 1.2×	12	326
Hunjae Yoo South Korea	6	326 1.5×	316 2.0×	97 1.7×	20 0.5×	35 0.9×	11	411
Patrick Y. Shinzato Brazil	9	185 0.8×	159 1.0×	61 1.1×	25 0.6×	66 1.7×	21	261
Yanhua Jiang China	6	238 1.1×	211 1.3×	57 1.0×	15 0.4×	35 0.9×	16	331
Huai Yuan China	13	312 1.4×	162 1.0×	37 0.7×	15 0.4×	20 0.5×	31	373
Manwen Liao Hong Kong	3	157 0.7×	105 0.7×	17 0.3×	18 0.4×	22 0.6×	5	238
Anselm Haselhoff Germany	9	161 0.7×	93 0.6×	22 0.4×	21 0.5×	30 0.8×	15	256
Yeongmin Ko South Korea	6	202 0.9×	175 1.1×	39 0.7×	15 0.4×	18 0.5×	11	267
C.R. Jung Brazil	9	336 1.5×	138 0.9×	65 1.2×	28 0.7×	34 0.9×	14	433
Gangqiang Zhao Singapore	12	254 1.1×	53 0.3×	66 1.2×	20 0.5×	66 1.7×	19	327

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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5 of 5 papers shown

1.

Liu, Ke, et al.. (2022). From Bottom-Up To Top-Down: Characterization Of Training Process In Gaze Modeling. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 4843–4847. 2 indexed citations

2.

Garnett, Noa, et al.. (2019). 3D-LaneNet: End-to-End 3D Multiple Lane Detection. 2921–2930. 127 indexed citations

3.

Bialer, Oded, Noa Garnett, & Dan Levi. (2018). A Deep Neural Network Approach for Time-Of- Arrival Estimation in Multipath Channels. 2936–2940. 5 indexed citations

4.

Garnett, Noa, et al.. (2017). Real-Time Category-Based and General Obstacle Detection for Autonomous Driving. 198–205. 45 indexed citations

5.

Levi, Dan, Noa Garnett, & Ethan Fetaya. (2015). StixelNet: A Deep Convolutional Network for Obstacle Detection and Road Segmentation. 109.1–109.12. 95 indexed citations

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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