Aharon Bar-Hillel

3.8k citations
48 papers · 2.6k indexed · 1 hit paper · h-index 21
Topics
Advanced Image and Video Retrieval Techniques (10 papers)Smart Agriculture and AI (8 papers)Face and Expression Recognition (7 papers)

In The Last Decade

Aharon Bar-Hillel

47 papers receiving 2.4k citations

Hit Papers

Recent progress in road and lane detection: a survey20122026201620212012100200300400500

Peers

Aharon Bar-Hillel
Comparison fields: 5 of 127
  • Computer Vision and Pattern Recognition 1.7k
  • Artificial Intelligence 771
  • Automotive Engineering 492
  • Plant Science 256
  • Environmental Engineering 209
Replace Sridhar Lakshmanan with:
Sridhar Lakshmanan United States
Wenjie Luo China
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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 of co-authors of Aharon Bar-Hillel

This figure shows the co-authorship network connecting the top 25 collaborators of Aharon Bar-Hillel. A scholar is included among the top collaborators of Aharon Bar-Hillel 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 Aharon Bar-Hillel. Aharon Bar-Hillel 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
#WorkIndexed citations
1 0
2 6
3 1
4 1
5 22
6 9
7 16
8 10
9 88
10
Leaf counting: Multiple scale regression and detection using deep CNNs.
29
11
Learning a High-Precision Robotic Assembly Task Using Pose Estimation from Simulated Depth Images.
2
12 12
13 31
14 51
15
Learning a Mahalanobis Metric from Equivalence Constraints
361
16 20
17
Spike Sorting: Bayesian Clustering of Non-Stationary Data
5
18
Learning distance functions using equivalence relations
281
19
Computing Gaussian Mixture Models with EM Using Equivalence Constraints
173
20
Computing Gaussian Mixture Models with EM Using Side-Information
14

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) and Face and Expression Recognition (7 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 IEEE Transactions on Pattern Analysis and Machine Intelligence, Brain Research and Frontiers in Plant Science.

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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