Dan Levi

2.6k citations
24 papers · 1.9k · 1 hit paper · h-index 14

Impact in

Papers in

Dan Levi

23 papers receiving 1.9k citations

Dan Levi's Hit Papers

Recent progress in road and lane detection: a survey 2012 · 627 citations
6270+4+9Years since publication200400600

Peers

Dan Levi
Comparison fields: 5 of 89
  • Automotive Engineering 841
  • Computer Vision and Pattern Recognition 1.4k
  • Human-Computer Interaction 172
  • Environmental Engineering 261
  • Media Technology 94
Replace J.C. McCall with:
J.C. McCall United States
Cristiano Premebida Portugal
Ho Gi Jung South Korea
Eam Khwang Teoh Singapore
Xinyu Zhang China
Radu Gabriel Danescu Romania
Sayanan Sivaraman United States
Hangen He China
Hongkai Yu United States
Xinshuo Weng United States
Dan Levi relative to J.C. McCall United States J.C. McCall's profile →
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Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Recent progress in road and lane detection: a survey
Hit paper breakdown →
2012627
2 2015277
3 2012224
4 2019162
5 2014142
6 2015112
7 202295
8 201079
9 201750
10 201335
11 201428
12 201517
13 200816
14 201215
15 200813
16 202113
17 201112
18 20129
19 20167
20 20185

About Dan Levi

Dan Levi is a scholar working on Computer Vision and Pattern Recognition, Automotive Engineering, Artificial Intelligence, Aerospace Engineering and Human-Computer Interaction, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include Video Surveillance and Tracking Methods (10 papers), Advanced Neural Network Applications (10 papers), Advanced Vision and Imaging (6 papers), Autonomous Vehicle Technology and Safety (5 papers), Robotics and Sensor-Based Localization (5 papers), Machine Learning and Data Classification (4 papers), Advanced Image and Video Retrieval Techniques (4 papers) and Domain Adaptation and Few-Shot Learning (3 papers). The work is most often cited by research in Automotive Engineering (841 citations), Computer Vision and Pattern Recognition (1.4k citations), Human-Computer Interaction (172 citations), Environmental Engineering (261 citations) and Media Technology (94 citations). Dan Levi has collaborated with scholars based in Israel, United States and India. Frequent co-authors include Aharon Bar-Hillel, Shaul Oron, Shai Avidan, Noa Garnett, Ethan Fetaya, Wende Zhang, Fernando De la Torre, Francisco Vicente, Zehua Huang and Xuehan Xiong. Their work appears in journals such as Image and Vision Computing, Machine Vision and Applications, IEEE Transactions on Intelligent Transportation Systems, Sensors and International Journal of Computer Vision.

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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