Dan Levi

2.5k total citations · 1 hit paper
20 papers, 1.6k citations indexed

About

Dan Levi is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Dan Levi has authored 20 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 5 papers in Automotive Engineering and 4 papers in Artificial Intelligence. Recurrent topics in Dan Levi's work include Video Surveillance and Tracking Methods (8 papers), Advanced Neural Network Applications (7 papers) and Advanced Vision and Imaging (5 papers). Dan Levi is often cited by papers focused on Video Surveillance and Tracking Methods (8 papers), Advanced Neural Network Applications (7 papers) and Advanced Vision and Imaging (5 papers). Dan Levi collaborates with scholars based in Israel and United States. Dan Levi's co-authors include Aharon Bar-Hillel, Ronen Lerner, Shaul Oron, Shai Avidan, Noa Garnett, Ethan Fetaya, Wende Zhang, Zehua Huang, Xuehan Xiong and Francisco Vicente and has published in prestigious journals such as Sensors, International Journal of Computer Vision and IEEE Transactions on Intelligent Transportation Systems.

In The Last Decade

Dan Levi

19 papers receiving 1.5k citations

Hit Papers

Recent progress in road and lane detection: a survey 2012 2026 2016 2021 2012 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dan Levi Israel 13 1.1k 716 237 192 166 20 1.6k
Ho Gi Jung South Korea 22 1.1k 1.0× 595 0.8× 147 0.6× 416 2.2× 124 0.7× 92 1.8k
Seiichi Mita Japan 21 1.1k 0.9× 668 0.9× 188 0.8× 416 2.2× 180 1.1× 124 1.7k
Cristiano Premebida Portugal 21 1.0k 0.9× 487 0.7× 339 1.4× 424 2.2× 226 1.4× 62 1.6k
Pietro Cerri Italy 21 881 0.8× 703 1.0× 148 0.6× 297 1.5× 166 1.0× 32 1.4k
Patsorn Sangkloy United States 5 1.2k 1.0× 578 0.8× 84 0.4× 164 0.9× 311 1.9× 7 1.7k
J.C. McCall United States 13 825 0.7× 1.3k 1.8× 208 0.9× 75 0.4× 208 1.3× 18 1.7k
T. Graf Germany 21 1.4k 1.3× 723 1.0× 162 0.7× 335 1.7× 189 1.1× 45 1.9k
Sayanan Sivaraman United States 16 1.2k 1.1× 940 1.3× 110 0.5× 163 0.8× 247 1.5× 19 1.7k
Xinyu Zhang China 25 1.0k 0.9× 370 0.5× 145 0.6× 431 2.2× 243 1.5× 120 1.9k
Hangen He China 17 951 0.9× 463 0.6× 105 0.4× 194 1.0× 82 0.5× 70 1.3k

Countries citing papers authored by Dan Levi

Since Specialization
Citations

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

Fields of papers citing papers by Dan Levi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dan Levi

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

All Works

20 of 20 papers shown
1.
2.
Levi, Dan, et al.. (2022). Evaluating and Calibrating Uncertainty Prediction in Regression Tasks. Sensors. 22(15). 5540–5540. 71 indexed citations
3.
Garnett, Noa, et al.. (2019). 3D-LaneNet: End-to-End 3D Multiple Lane Detection. 2921–2930. 127 indexed citations
4.
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
5.
Garnett, Noa, et al.. (2017). Real-Time Category-Based and General Obstacle Detection for Autonomous Driving. 198–205. 45 indexed citations
6.
Shimshoni, Ilan, et al.. (2016). Lane-level positioning with sparse visual cues. 23. 889–895. 7 indexed citations
7.
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
8.
Yu, Zhiding, Wende Zhang, B. V. K. Vijaya Kumar, & Dan Levi. (2015). Structured Hough Voting for Vision-Based Highway Border Detection. 246–253. 2 indexed citations
9.
Levi, Dan, et al.. (2015). Tracking and Motion Cues for Rear-View Pedestrian Detection. 664–671. 13 indexed citations
10.
Vicente, Francisco, Zehua Huang, Xuehan Xiong, et al.. (2015). Driver Gaze Tracking and Eyes Off the Road Detection System. IEEE Transactions on Intelligent Transportation Systems. 16(4). 2014–2027. 239 indexed citations
11.
Levi, Dan, et al.. (2014). Vision-based pedestrian detection for rear-view cameras. 853–860. 24 indexed citations
12.
Oron, Shaul, Aharon Bar-Hillel, Dan Levi, & Shai Avidan. (2014). Locally Orderless Tracking. International Journal of Computer Vision. 111(2). 213–228. 133 indexed citations
13.
Levi, Dan, et al.. (2013). Fast Multiple-Part Based Object Detection Using KD-Ferns. 947–954. 35 indexed citations
14.
Bar-Hillel, Aharon, et al.. (2012). Recent progress in road and lane detection: a survey. Machine Vision and Applications. 25(3). 727–745. 544 indexed citations breakdown →
15.
Cheng, Shinko Y., et al.. (2012). Parts-based object recognition seeded by frequency-tuned saliency for child detection in active safety. 51. 1155–1160. 7 indexed citations
16.
Oron, Shaul, Aharon Bar-Hillel, Dan Levi, & Shai Avidan. (2012). Locally Orderless Tracking. 1940–1947. 205 indexed citations
17.
Bar-Hillel, Aharon, et al.. (2011). Fusing visual and range imaging for object class recognition. 65–72. 12 indexed citations
18.
Levi, Dan & Shimon Ullman. (2009). Learning Model Complexity in an Online Environment. 260–267. 4 indexed citations
19.
Levi, Dan & Shimon Ullman. (2008). Learning to classify by ongoing feature selection. Image and Vision Computing. 28(4). 715–723. 15 indexed citations
20.
Levi, Dan & Shimon Ullman. (2006). Learning to classify by ongoing feature selection. 5. 1–1. 4 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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