Vadim Ratner

616 total citations
40 papers, 362 citations indexed

About

Vadim Ratner is a scholar working on Molecular Biology, Genetics and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vadim Ratner has authored 40 papers receiving a total of 362 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Molecular Biology, 11 papers in Genetics and 10 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vadim Ratner's work include Image and Signal Denoising Methods (8 papers), Medical Image Segmentation Techniques (8 papers) and Evolution and Genetic Dynamics (8 papers). Vadim Ratner is often cited by papers focused on Image and Signal Denoising Methods (8 papers), Medical Image Segmentation Techniques (8 papers) and Evolution and Genetic Dynamics (8 papers). Vadim Ratner collaborates with scholars based in Russia, Israel and United States. Vadim Ratner's co-authors include Ekaterina Bubenshchikova, Allen Tannenbaum, Maiken Nedergaard, Helene Benveniste, Yi Gao, S. N. Rodin, Y.Y. Zeevi, Yehoshua Y. Zeevi, Rena Elkin and Hedok Lee and has published in prestigious journals such as Proceedings of the National Academy of Sciences, NeuroImage and Genetics.

In The Last Decade

Vadim Ratner

40 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vadim Ratner Russia 9 127 80 67 62 56 40 362
Hongyang Li United States 15 283 2.2× 65 0.8× 7 0.1× 41 0.7× 41 0.7× 36 569
E. A. van Spronsen Netherlands 10 324 2.6× 71 0.9× 49 0.7× 31 0.5× 7 0.1× 13 653
Enea Poletti Italy 12 104 0.8× 46 0.6× 9 0.1× 234 3.8× 71 1.3× 25 462
John W. Breneman United States 12 256 2.0× 137 1.7× 25 0.4× 27 0.4× 16 0.3× 18 460
Christian Widmer Germany 13 564 4.4× 302 3.8× 14 0.2× 13 0.2× 123 2.2× 19 997
Jianbo Wang China 11 485 3.8× 119 1.5× 13 0.2× 83 1.3× 74 1.3× 20 697
Rajmund L. Somorjai Canada 13 250 2.0× 7 0.1× 19 0.3× 79 1.3× 11 0.2× 20 518
Tai-Hsien Ou Yang United States 9 121 1.0× 16 0.2× 20 0.3× 15 0.2× 17 0.3× 12 313
Harshil Shah United States 5 295 2.3× 18 0.2× 19 0.3× 11 0.2× 17 0.3× 23 456

Countries citing papers authored by Vadim Ratner

Since Specialization
Citations

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

Fields of papers citing papers by Vadim Ratner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vadim Ratner

This figure shows the co-authorship network connecting the top 25 collaborators of Vadim Ratner. A scholar is included among the top collaborators of Vadim Ratner 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 Vadim Ratner. Vadim Ratner 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.
Shoshan, Yoel, Vadim Ratner, Ella Barkan, et al.. (2022). Artificial Intelligence for Reducing Workload in Breast Cancer Screening with Digital Breast Tomosynthesis. Radiology. 303(1). 69–77. 40 indexed citations
2.
Ratner, Vadim, Yi Gao, Hedok Lee, et al.. (2017). Cerebrospinal and interstitial fluid transport via the glymphatic pathway modeled by optimal mass transport. NeuroImage. 152. 530–537. 53 indexed citations
3.
Gao, Yi, Liangjia Zhu, Vadim Ratner, et al.. (2016). Multi-scale learning based segmentation of glands in digital colonrectal pathology images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9791. 97910M–97910M. 12 indexed citations
4.
Gao, Yi, Vadim Ratner, Liangjia Zhu, et al.. (2016). Hierarchical nucleus segmentation in digital pathology images. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9791. 979117–979117. 15 indexed citations
5.
Zhu, Liangjia, Ivan Kolesov, Vadim Ratner, Peter Karasev, & Allen Tannenbaum. (2015). Interactive image segmentation framework based on control theory. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9413. 941343–941343. 1 indexed citations
6.
Ratner, Vadim, Liangjia Zhu, Ivan Kolesov, et al.. (2015). Optimal-mass-transfer-based estimation of glymphatic transport in living brain. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 9413. 94131J–94131J. 20 indexed citations
7.
Ratner, Vadim & Y.Y. Zeevi. (2011). Denoising-Enhancing Images on Elastic Manifolds. IEEE Transactions on Image Processing. 20(8). 2099–2109. 13 indexed citations
8.
Ratner, Vadim & Yehoshua Y. Zeevi. (2011). Stable Image Enhancement by Adaptive Damped Wave Equation with Force Term. 284–290. 1 indexed citations
9.
Ratner, Vadim & Yehoshua Y. Zeevi. (2009). The dynamics of image denoising viewed as damped elastic deformation. 3989–3992. 1 indexed citations
10.
Ratner, Vadim & Y.Y. Zeevi. (2007). Image Enhancement Using Elastic Manifolds. 769–774. 7 indexed citations
11.
Ratner, Vadim & Yehoshua Y. Zeevi. (2007). Image Enhancement Using Elastic Manifolds. 769–774. 8 indexed citations
12.
Ratner, Vadim, et al.. (2003). Computer Simulation of the Joint Evolution of the Patterns of Polygenes, Transposable Elements, and Origin Identity Labels: Stabilizing Selection. Russian Journal of Genetics. 39(4). 450–460. 1 indexed citations
13.
Kel, Alexander, et al.. (2003). Simulation of the Dynamics of Gene Networks Regulating the Cell Cycle in Mammalian Cells. Russian Journal of Genetics. 39(9). 1085–1091. 1 indexed citations
14.
Bubenshchikova, Ekaterina, et al.. (2002). Induction of MGE 412 Transpositions in Spermatogenesis of Drosophila Males Separately by Heat and Cold Shock. Russian Journal of Genetics. 38(1). 36–43. 7 indexed citations
15.
Ratner, Vadim, et al.. (2001). Prolongation of MGE 412 Transposition Induction after γ-Irradiation in an Isogenic Line of Drosophila melanogaster. Russian Journal of Genetics. 37(4). 384–391. 7 indexed citations
16.
Kel, Alexander, et al.. (2000). Modeling of Gene Regulatory Network of Cell Cycle Control. Role of E2F Feedback Loops.. 107–114. 4 indexed citations
17.
Bubenshchikova, Ekaterina, et al.. (1999). Heavy heat shock induced retrotransposon transposition in Drosophila. Genetics Research. 74(2). 111–119. 34 indexed citations
18.
Ratner, Vadim & Н. А. Колчанов. (1992). Modelling and Computer Methods in Molecular Biology and Genetics: Reports of International Conference Novosibirsk, August 28-September, 1990. Medical Entomology and Zoology. 1 indexed citations
19.
Колчанов, Н. А., et al.. (1986). [Enhancer-like structures in moderately repetitive sequences of eukaryotic genomes].. PubMed. 22(3). 357–67. 5 indexed citations
20.
Rodin, S. N. & Vadim Ratner. (1983). Some theoretical aspects of protein coevolution in the ecosystem “phage-bacteria” II. The deterministic model of microevolution. Journal of Theoretical Biology. 100(2). 197–210. 8 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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