Aharon Bar-Hillel

3.8k citations
48 papers · 2.6k indexed · 1 hit paper · h-index 21

Aharon Bar-Hillel

47 papers receiving 2.4k citations

Hit Papers

Recent progress in road and lane detection: a survey5442012202620162021100200300400500

Peers

Aharon Bar-Hillel
Comparison fields: 5 of 127
  • Computer Vision and Pattern Recognition 1.7k
  • Automotive Engineering 492
  • Artificial Intelligence 771
  • Media Technology 164
  • Signal Processing 188
Replace Sridhar Lakshmanan with:
Sridhar Lakshmanan United States
Wenjie Luo China
Yassine Ruichek France
Eam Khwang Teoh Singapore
Xizhou Zhu China
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Tai‐Jiang Mu China
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Hironobu Fujiyoshi Japan
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Aharon Bar-Hillel relative to Sridhar Lakshmanan United States Sridhar Lakshmanan's profile →
Citations per field
00.5×4.9×
Sridhar Lakshmanan · 1×
Citations per year

Countries citing papers authored by Aharon Bar-Hillel

Since Specialization
Citations

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

Fields of papers citing papers by Aharon Bar-Hillel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Aharon Bar-Hillel. 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 Aharon Bar-Hillel. The network helps show where Aharon Bar-Hillel may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20240
2 20236
3 20231
4 20231
5 202122
6 20219
7 202016
8 202010
9 201988
10
Leaf counting: Multiple scale regression and detection using deep CNNs.
201829
11
Learning a High-Precision Robotic Assembly Task Using Pose Estimation from Simulated Depth Images.
20182
12 201112
13 200831
14 200651
15
Learning a Mahalanobis Metric from Equivalence Constraints
2005361
16 200520
17
Spike Sorting: Bayesian Clustering of Non-Stationary Data
20045
18
Learning distance functions using equivalence relations
2003281
19
Computing Gaussian Mixture Models with EM Using Equivalence Constraints
2003173
20
Computing Gaussian Mixture Models with EM Using Side-Information
200314

About Aharon Bar-Hillel

Aharon Bar-Hillel is a scholar working on Computer Vision and Pattern Recognition, Human-Computer Interaction and Artificial Intelligence, having authored 48 papers that have together received 2.6k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (10 papers), Smart Agriculture and AI (8 papers), Face and Expression Recognition (7 papers), Video Surveillance and Tracking Methods (7 papers), Leaf Properties and Growth Measurement (5 papers), Advanced Neural Network Applications (5 papers), Neural Networks and Applications (5 papers) and Bayesian Methods and Mixture Models (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.7k citations), Automotive Engineering (492 citations) and Artificial Intelligence (771 citations). Aharon Bar-Hillel has collaborated with scholars based in Israel, United States and Austria. Frequent co-authors include Daphna Weinshall, Tomer Hertz, Dan Levi, Noam Shental, Ronen Lerner, Shaul Oron, Shai Avidan, V. Alchanatis, Adam Spiro and Eran Stark. Their work appears in journals such as Computers and Electronics in Agriculture, Machine Vision and Applications, International Journal of Computer Vision, Ultrasonics and Artificial Intelligence in Medicine.

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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