Dan Raviv

40 papers receiving 1.0k citations

Hit Papers

Active Printed Materials for Complex Self-Evolving Deformations 2014 · 434 citations
4340+4+8Years since publication100200300400

Peers

Dan Raviv
Comparison fields: 5 of 103
  • Acoustics and Ultrasonics 64
  • Computer Graphics and Computer-Aided Design 97
  • Instrumentation 83
  • Computer Vision and Pattern Recognition 399
  • Automotive Engineering 209
Replace Achuta Kadambi with:
Achuta Kadambi United States
Dewen Cheng China
Stephan Reichelt Germany
Peng He China
Javier Santamaría Spain
Ozan Cakmakci United States
Chunhui Wang China
Kaan Akşit United Kingdom
Fanghua Zhang China
Dan Raviv relative to Achuta Kadambi United States Achuta Kadambi's profile →
Citations per field
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Countries citing papers authored by Dan Raviv

Since Specialization
Citations

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

Fields of papers citing papers by Dan Raviv

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Active Printed Materials for Complex Self-Evolving Deformations
Hit paper breakdown →
2014434
2 201077
3 201666
4 202162
5 201057
6 200749
7 201533
8 201432
9 201327
10 201327
11 202126
12 202120
13 201120
14 201717
15 201415
16 201214
17 201712
18 202111
19 201310
20 20228

About Dan Raviv

Dan Raviv is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics, Geometry and Topology, Aerospace Engineering and Instrumentation, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include 3D Shape Modeling and Analysis (15 papers), Image Retrieval and Classification Techniques (8 papers), Morphological variations and asymmetry (7 papers), Image Processing and 3D Reconstruction (6 papers), Robotics and Sensor-Based Localization (6 papers), Medical Image Segmentation Techniques (6 papers), Human Pose and Action Recognition (6 papers) and Advanced Optical Sensing Technologies (5 papers). The work is most often cited by research in Acoustics and Ultrasonics (64 citations), Computer Graphics and Computer-Aided Design (97 citations), Instrumentation (83 citations), Computer Vision and Pattern Recognition (399 citations) and Automotive Engineering (209 citations). Dan Raviv has collaborated with scholars based in Israel, United States and Switzerland. Frequent co-authors include Ron Kimmel, Ramesh Raskar, Michael M. Bronstein, Alexander M. Bronstein, Skylar Tibbits, Achuta Kadambi, Carlos Olguin, Daniel Dikovsky, Wei Zhao and Athina Papadopoulou. Their work appears in journals such as International Journal of Computer Vision, Scientific Reports, SIAM Journal on Imaging Sciences, IEEE Transactions on Pattern Analysis and Machine Intelligence and International Journal on Document Analysis and Recognition (IJDAR).

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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