Oded Maron

2.3k citations
7 papers · 1.3k indexed · 1 hit paper · h-index 7
Topics
Advanced Image and Video Retrieval Techniques (3 papers)Image Retrieval and Classification Techniques (3 papers)Machine Learning and Algorithms (3 papers)
Journals
Machine LearningNeural Information Processing SystemsInternational Conference on Machine Learning
Partner nations
United States

In The Last Decade

Oded Maron

7 papers receiving 1.2k citations

Hit Papers

A Framework for Multiple-Instance Learning19972026200620161997250500750

Peers

Oded Maron
Comparison fields: 5 of 82
  • Computer Vision and Pattern Recognition 1.0k
  • Artificial Intelligence 547
  • Media Technology 152
  • Signal Processing 99
  • Computational Theory and Mathematics 83
Replace Simon Tong with:
Simon Tong United States
Petr Somol Czechia
Sung Ju Hwang South Korea
Kh. Manglem Singh India
Wojciech Siedlecki United States
Kaspar Riesen Switzerland
Eric Chen-Kuo Tsao United States
Liang Du China
Simone Marinai Italy
Oded Maron relative to Simon Tong United States Simon Tong's profile →
Citations per field
00.5×3.3×
Simon Tong · 1×
Citations per year

Countries citing papers authored by Oded Maron

Since Specialization
Citations

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

Fields of papers citing papers by Oded Maron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Oded Maron

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 34
2 29
3
Multiple-Instance Learning for Natural Scene Classification
392
4
A Framework for Multiple-Instance Learningbreakdown →
787
5
Visible Decomposition: Real-Time Path Planning in Large Planar Environments
7
6 34
7 18

About Oded Maron

Oded Maron is a scholar working on Computer Graphics and Computer-Aided Design, Computer Vision and Pattern Recognition and Computational Theory and Mathematics, having authored 7 papers that have together received 1.3k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (3 papers), Image Retrieval and Classification Techniques (3 papers) and Machine Learning and Algorithms (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (1.0k citations), Media Technology (152 citations) and Artificial Intelligence (547 citations). Oded Maron has collaborated with scholars based in United States. Frequent co-authors include Tomás Lozano‐Pérez, Aparna Lakshmi Ratan, Andrew Moore, Dana Angluin, Leslie Pack Kaelbling, Thomas Dean, Sean P. Engelson and W. Eric L. Grimson. Their work appears in journals such as Machine Learning, Neural Information Processing Systems and International Conference on Machine Learning.

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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