Dan Raviv

1.7k total citations · 1 hit paper
45 papers, 1.1k citations indexed

About

Dan Raviv is a scholar working on Computer Vision and Pattern Recognition, Computational Mechanics and Geometry and Topology. According to data from OpenAlex, Dan Raviv has authored 45 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Computer Vision and Pattern Recognition, 15 papers in Computational Mechanics and 7 papers in Geometry and Topology. Recurrent topics in Dan Raviv's work include 3D Shape Modeling and Analysis (15 papers), Image Retrieval and Classification Techniques (8 papers) and Morphological variations and asymmetry (7 papers). Dan Raviv is often cited by papers focused on 3D Shape Modeling and Analysis (15 papers), Image Retrieval and Classification Techniques (8 papers) and Morphological variations and asymmetry (7 papers). Dan Raviv collaborates with scholars based in Israel, United States and Switzerland. Dan Raviv's co-authors include Ron Kimmel, Ramesh Raskar, Michael M. Bronstein, Alexander M. Bronstein, Skylar Tibbits, Daniel Dikovsky, Achuta Kadambi, Athina Papadopoulou, Carlos Olguin and Wei Zhao and has published in prestigious journals such as Nature Communications, IEEE Transactions on Pattern Analysis and Machine Intelligence and Scientific Reports.

In The Last Decade

Dan Raviv

40 papers receiving 1.0k citations

Hit Papers

Active Printed Materials for Complex Self-Evolving Deform... 2014 2026 2018 2022 2014 100 200 300 400
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Active Printed Materials for Complex Self-Evolving Deformations
    2014 434 citations Dan Raviv, Wei Zhao et al. Scientific Reports profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dan Raviv Israel 15 399 336 325 248 209 45 1.1k
Achuta Kadambi United States 16 557 1.4× 648 1.9× 322 1.0× 77 0.3× 198 0.9× 49 1.5k
Chenming Wu China 16 172 0.4× 141 0.4× 166 0.5× 80 0.3× 406 1.9× 58 994
George K. Knopf Canada 16 109 0.3× 308 0.9× 254 0.8× 247 1.0× 41 0.2× 126 913
Zheng Liu China 13 187 0.5× 337 1.0× 211 0.6× 142 0.6× 24 0.1× 81 1.3k
Dewen Cheng China 26 566 1.4× 912 2.7× 120 0.4× 101 0.4× 11 0.1× 159 2.2k
Tomokazu Takahashi Japan 17 255 0.6× 256 0.8× 109 0.3× 29 0.1× 49 0.2× 151 876
Chunhui Wang China 15 86 0.2× 88 0.3× 91 0.3× 29 0.1× 110 0.5× 80 727
Libin Liu China 20 621 1.6× 142 0.4× 307 0.9× 126 0.5× 28 0.1× 61 1.4k
M. Singaperumal India 18 124 0.3× 313 0.9× 576 1.8× 187 0.8× 80 0.4× 77 1.3k

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-authorship network of co-authors of Dan Raviv

This figure shows the co-authorship network connecting the top 25 collaborators of Dan Raviv. A scholar is included among the top collaborators of Dan Raviv 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 Dan Raviv. Dan Raviv 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
1.
2.
Raviv, Dan, et al.. (2022). Deep Confidence Guided Distance for 3D Partial Shape Registration. Proceedings of the AAAI Conference on Artificial Intelligence. 36(1). 706–714. 3 indexed citations
3.
Raviv, Dan, et al.. (2022). Unsupervised Scale-Invariant Multispectral Shape Matching. 129–136.
4.
Raviv, Dan, et al.. (2021). Occlusion Guided Scene Flow Estimation on 3D Point Clouds. 2799–2808. 26 indexed citations
5.
Raviv, Dan, et al.. (2020). Dual Geometric Graph Network (DG2N) -- Iterative network for deformable shape alignment. arXiv (Cornell University). 3 indexed citations
6.
Gupta, Otkrist, Dan Raviv, & Ramesh Raskar. (2017). Illumination invariants in deep video expression recognition. Pattern Recognition. 76. 25–35. 17 indexed citations
7.
Satat, Guy, Barmak Heshmat, Dan Raviv, & Ramesh Raskar. (2016). All Photons Imaging Through Volumetric Scattering. Scientific Reports. 6(1). 33946–33946. 66 indexed citations
8.
Satat, Guy, Barmak Heshmat, Christopher Barsi, et al.. (2015). Locating and classifying fluorescent tags behind turbid layers using time-resolved inversion. Nature Communications. 6(1). 6796–6796. 33 indexed citations
9.
Raviv, Dan, Wei Zhao, Athina Papadopoulou, et al.. (2014). Active Printed Materials for Complex Self-Evolving Deformations. Scientific Reports. 4(1). 7422–7422. 434 indexed citations breakdown →
10.
Satat, Guy, Christopher Barsi, Barmak Heshmat, Dan Raviv, & Ramesh Raskar. (2014). Locating fluorescence lifetimes behind turbid layers non-invasively using sparse, time-resolved inversion. 3. JTh2A.43–JTh2A.43. 2 indexed citations
11.
Raviv, Dan & Ron Kimmel. (2014). Affine Invariant Geometry for Non-rigid Shapes. International Journal of Computer Vision. 111(1). 1–11. 32 indexed citations
12.
Raviv, Dan, Alexander M. Bronstein, Michael M. Bronstein, et al.. (2013). Equi-affine Invariant Geometry for Shape Analysis. DSpace@MIT (Massachusetts Institute of Technology). 1 indexed citations
13.
Amirav, Israel, Anthony Luder, Dan Raviv, et al.. (2013). Design of Aerosol Face Masks for Children Using Computerized 3D Face Analysis. Journal of Aerosol Medicine and Pulmonary Drug Delivery. 27(4). 272–278. 27 indexed citations
14.
Raviv, Dan, Alexander M. Bronstein, Michael M. Bronstein, et al.. (2013). Equi-affine Invariant Geometry for Shape Analysis. Journal of Mathematical Imaging and Vision. 50(1-2). 144–163. 10 indexed citations
15.
Raviv, Dan, Ron Kimmel, & Alfred M. Bruckstein⋆. (2012). Graph Isomorphisms and Automorphisms via Spectral Signatures. IEEE Transactions on Pattern Analysis and Machine Intelligence. 35(8). 1985–1993. 7 indexed citations
16.
Kovnatsky, Artiom, Michael M. Bronstein, Alexander M. Bronstein, Dan Raviv, & Ron Kimmel. (2012). Affine-Invariant Photometric Heat Kernel Signatures. Eurographics. 39–46. 14 indexed citations
17.
Raviv, Dan, Michael M. Bronstein, Alexander M. Bronstein, & Ron Kimmel. (2010). Volumetric heat kernel signatures. 39–44. 57 indexed citations
18.
Raviv, Dan, et al.. (1990). The Journalist's Connections: How Israel Got Russia's Biggest Pre‐glasnost Secret. International Journal of Intelligence and CounterIntelligence. 4(2). 219–225. 1 indexed citations
19.
Raviv, Dan, et al.. (1989). Behind the Uprising. Praeger eBooks. 3 indexed citations
20.
Raviv, Dan, Y.-H. Pao, & Kenneth A. Loparo. (1987). 3D Surface Reconstruction From 2D Binary Images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 852. 154–154. 1 indexed citations

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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