Roee Litman

1.4k citations
15 papers · 610 · h-index 11

Impact in

Papers in

Roee Litman

15 papers receiving 598 citations

Peers

Roee Litman
Comparison fields: 5 of 60
  • Computer Graphics and Computer-Aided Design 103
  • Computer Vision and Pattern Recognition 473
  • Computational Mechanics 363
  • Geology 75
  • Media Technology 31
Replace Ding‐Yun Chen with:
Ding‐Yun Chen Taiwan
Julien Philip United States
Edgar Tretschk Germany
Guandao Yang United States
Jordi Salvador Spain
Y. SHEN Taiwan
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Diego Valsesia Italy
Emil Dumić Croatia
Roee Litman relative to Ding‐Yun Chen Taiwan Ding‐Yun Chen's profile →
Citations per field
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Citations per year

Countries citing papers authored by Roee Litman

Since Specialization
Citations

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

Fields of papers citing papers by Roee Litman

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 22 scholars most cited alongside Roee Litman, 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 Roee Litman Line = papers co-authored together Roee Litman links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 2013115
2 2012102
3 202087
4 201474
5 201756
6 201140
7 201525
8 201424
9
Supervised Sparse Analysis and Synthesis Operators
201322
10 201822
11 201214
12 20139
13
Latent RANSAC
20188
14
Efficient supervised sparse analysis and synthesis operators
20136
15 20156

About Roee Litman

Roee Litman is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Aerospace Engineering, Signal Processing and Geology, having authored 15 papers that have together received 610 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (6 papers), Image Processing and 3D Reconstruction (5 papers), Robotics and Sensor-Based Localization (5 papers), Image Retrieval and Classification Techniques (5 papers), 3D Shape Modeling and Analysis (4 papers), 3D Surveying and Cultural Heritage (3 papers), Music and Audio Processing (3 papers) and Speech and Audio Processing (2 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (103 citations), Computer Vision and Pattern Recognition (473 citations), Computational Mechanics (363 citations), Geology (75 citations) and Media Technology (31 citations). Roee Litman has collaborated with scholars based in Israel, Switzerland and United States. Frequent co-authors include Alex Bronstein, Michael M. Bronstein, Simon Korman, A. M. Bronstein, Iasonas Kokkinos, Alexander M. Bronstein, Umberto Castellani, Ron Litman, Oron Anschel and R. Manmatha. Their work appears in journals such as Computer Graphics Forum, Computers & Graphics, IEEE Transactions on Pattern Analysis and Machine Intelligence, SPIRE - Sciences Po Institutional REpository and IRIS Research product catalog (Sapienza University of Rome).

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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