Yoli Shavit

717 total citations
14 papers, 398 citations indexed

About

Yoli Shavit is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition and Aerospace Engineering. According to data from OpenAlex, Yoli Shavit has authored 14 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Aerospace Engineering. Recurrent topics in Yoli Shavit's work include Genomics and Chromatin Dynamics (4 papers), Advanced Vision and Imaging (3 papers) and Optical measurement and interference techniques (3 papers). Yoli Shavit is often cited by papers focused on Genomics and Chromatin Dynamics (4 papers), Advanced Vision and Imaging (3 papers) and Optical measurement and interference techniques (3 papers). Yoli Shavit collaborates with scholars based in Israel, United Kingdom and China. Yoli Shavit's co-authors include Yosi Keller, Píetro Lió, Itzik Klein, Ruth Nussinov, Haim J. Wolfson, Dina Schneidman‐Duhovny, Kai Zhang, Tai‐Jiang Mu, Yan Shi and Fiona Hamey and has published in prestigious journals such as Bioinformatics, IEEE Transactions on Pattern Analysis and Machine Intelligence and IEEE Access.

In The Last Decade

Yoli Shavit

12 papers receiving 388 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yoli Shavit Israel 9 181 147 109 37 30 14 398
Rongjie Wang China 8 111 0.6× 91 0.6× 19 0.2× 27 0.7× 15 0.5× 25 277
Concettina Guerra United States 13 96 0.5× 258 1.8× 35 0.3× 64 1.7× 6 0.2× 38 454
Jian Peng China 9 90 0.5× 119 0.8× 19 0.2× 65 1.8× 12 0.4× 34 347
Slawomir K. Grzechnik United States 4 56 0.3× 179 1.2× 104 1.0× 14 0.4× 4 0.1× 5 374
Michael A. Facello United States 8 125 0.7× 203 1.4× 27 0.2× 8 0.2× 6 0.2× 10 574
Runtao Yang China 14 50 0.3× 286 1.9× 27 0.2× 62 1.7× 13 0.4× 38 486
Klaus Kriegel Germany 11 128 0.7× 119 0.8× 42 0.4× 28 0.8× 4 0.1× 32 392
Shailendra Kumar Singh India 9 79 0.4× 45 0.3× 10 0.1× 67 1.8× 11 0.4× 29 286
Keith Paton United Kingdom 10 60 0.3× 42 0.3× 14 0.1× 36 1.0× 11 0.4× 16 292
Biyuan Li China 13 258 1.4× 107 0.7× 6 0.1× 29 0.8× 115 3.8× 48 505

Countries citing papers authored by Yoli Shavit

Since Specialization
Citations

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

Fields of papers citing papers by Yoli Shavit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoli Shavit

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

All Works

14 of 14 papers shown
1.
Shavit, Yoli, et al.. (2026). Beyond familiar landscapes: Exploring the limits of relative pose regressors in new environments. Computer Vision and Image Understanding. 264. 104629–104629.
2.
Shavit, Yoli, et al.. (2024). Learning single and multi-scene camera pose regression with transformer encoders. Computer Vision and Image Understanding. 243. 103982–103982. 5 indexed citations
3.
Shavit, Yoli, et al.. (2023). Coarse-to-Fine Multi-Scene Pose Regression With Transformers. IEEE Transactions on Pattern Analysis and Machine Intelligence. 45(12). 14222–14233. 12 indexed citations
4.
Zhang, Kai, et al.. (2022). Adversarial Learning of Hard Positives for Place Recognition. 2022 International Joint Conference on Neural Networks (IJCNN). 1–7.
5.
Shi, Yan, et al.. (2022). ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 12507–12516. 61 indexed citations
6.
Shavit, Yoli & Itzik Klein. (2021). Boosting Inertial-Based Human Activity Recognition With Transformers. IEEE Access. 9. 53540–53547. 60 indexed citations
7.
Shavit, Yoli, et al.. (2021). Learning Multi-Scene Absolute Pose Regression with Transformers. 2021 IEEE/CVF International Conference on Computer Vision (ICCV). 2713–2722. 80 indexed citations
8.
Shavit, Yoli, Boyan Yordanov, Sara-Jane Dunn, et al.. (2016). Automated Synthesis and Analysis of Switching Gene Regulatory Networks. Biosystems. 146. 26–34. 4 indexed citations
9.
Shavit, Yoli, et al.. (2015). Hierarchical block matrices as efficient representations of chromosome topologies and their application for 3C data integration. Bioinformatics. 32(8). 1121–1129. 3 indexed citations
10.
Shavit, Yoli, Ivan Merelli, Luciano Milanesi, & Píetro Lió. (2015). How computer science can help in understanding the 3D genome architecture. Briefings in Bioinformatics. 17(5). 733–744. 10 indexed citations
11.
Shavit, Yoli & Píetro Lió. (2014). Combining a wavelet change point and the Bayes factor for analysing chromosomal interaction data. Molecular BioSystems. 10(6). 1576–1585. 26 indexed citations
12.
Shavit, Yoli, Fiona Hamey, & Píetro Lió. (2014). FisHiCal: an R package for iterative FISH-based calibration of Hi-C data. Bioinformatics. 30(21). 3120–3122. 24 indexed citations
13.
Shavit, Yoli & Píetro Lió. (2013). CytoHiC: a cytoscape plugin for visual comparison of Hi-C networks. Bioinformatics. 29(9). 1206–1207. 13 indexed citations
14.
Schneidman‐Duhovny, Dina, et al.. (2010). An integrated suite of fast docking algorithms. Proteins Structure Function and Bioinformatics. 78(15). 3197–3204. 100 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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