Dmitry V. Sorokin

657 total citations
43 papers, 298 citations indexed

About

Dmitry V. Sorokin is a scholar working on Computer Vision and Pattern Recognition, Biophysics and Molecular Biology. According to data from OpenAlex, Dmitry V. Sorokin has authored 43 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Computer Vision and Pattern Recognition, 16 papers in Biophysics and 15 papers in Molecular Biology. Recurrent topics in Dmitry V. Sorokin's work include Cell Image Analysis Techniques (15 papers), Medical Image Segmentation Techniques (8 papers) and Advanced Fluorescence Microscopy Techniques (6 papers). Dmitry V. Sorokin is often cited by papers focused on Cell Image Analysis Techniques (15 papers), Medical Image Segmentation Techniques (8 papers) and Advanced Fluorescence Microscopy Techniques (6 papers). Dmitry V. Sorokin collaborates with scholars based in Russia, Czechia and Germany. Dmitry V. Sorokin's co-authors include Pavel Matula, Martin Maška, Eva Bártová, Stanislav Kozubek, Carlos Ortíz-de-Solórzano, Igor Peterlík, Soňa Legartová, Michal Kozubek, Karl Rohr and Jana Suchánková and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Dmitry V. Sorokin

36 papers receiving 293 citations

Peers

Countries citing papers authored by Dmitry V. Sorokin

Since Specialization

Citations

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

Fields of papers citing papers by Dmitry V. Sorokin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Dmitry V. Sorokin. 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 Dmitry V. Sorokin. The network helps show where Dmitry V. Sorokin may publish in the future.

Co-authorship network of co-authors of Dmitry V. Sorokin

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	HISTOLOGICAL IMAGE CLASSIFICATION METHODS BASED ON CONVOLUTIONAL NEURAL NETWORKS WITH GABOR FILTERS 2024 ·(unknown), Dmitry V. Sorokin, A. S. Krylov	1
2	Global nuclear reorganization during heterochromatin replication in the giant‐genome plant Nigella damascena L. 2024 ·The Plant Journal ·(unknown), Dmitry V. Sorokin, (unknown), (unknown), (unknown), Daria M. Potashnikova, (unknown), Veit Schubert, Т. Д. Колесникова, Eugene V. Sheval	0
3	FPGA-Based Methods for High-Speed Processing of Video Images with Large Brightness Scatter 2023 ·Journal of Communications Technology and Electronics ·Dmitry V. Sorokin, (unknown), (unknown), (unknown), (unknown)	0
4	CNN-BASED UNSUPERVISED REGISTRATION OF TIME-LAPSE MICROSCOPY IMAGE SEQUENCES 2023 ·SHILAP Revista de lepidopterología ·(unknown), Dmitry V. Sorokin	2
5	Towards the synthesis of spectral imaging and machine learning-based approaches for non-invasive phenotyping of plants 2023 ·Biophysical Reviews ·Alexei Solovchenko, (unknown), (unknown), Dmitry V. Sorokin	2
6	Affine Registration of Histological Images Using Transformer-Based Feature Matching 2022 ·Pattern Recognition and Image Analysis ·(unknown), Dmitry V. Sorokin	2
7	Modulation of behavioral and neurochemical responses of adult zebrafish by fluoxetine, eicosapentaenoic acid and lipopolysaccharide in the prolonged chronic unpredictable stress model 2021 ·Scientific Reports ·Konstantin A. Demin, Tatiana O. Kolesnikova, David S. Galstyan, (unknown), (unknown), (unknown), (unknown), Tatyana Strekalova, Murilo S. de Abreu, Elena V. Petersen, (unknown), (unknown), (unknown), Dmitry V. Sorokin, Konstantin N. Zabegalov, (unknown), Evgeniya V. Efimova, Allan V. Kalueff	18
8	A Method for Automatic Tracking of Cell Nuclei With Weakly-Supervised Mitosis Detection in 2D Microscopy Image Sequences 2020 ·(unknown), Hideyuki Yaginuma, Yasushi Okada, A. S. Krylov, Dmitry V. Sorokin	2
9	FiloGen: A Model-Based Generator of Synthetic 3-D Time-Lapse Sequences of Single Motile Cells With Growing and Branching Filopodia 2018 ·IEEE Transactions on Medical Imaging ·Dmitry V. Sorokin, Igor Peterlík, Vladimír Ulman, David Svoboda, Tereza Nečasová, (unknown), Lívia Eiselleová, (unknown), Martin Maška	19
10	Heterochromatin restricts the mobility of nuclear bodies 2018 ·Chromosoma ·(unknown), Dmitry V. Sorokin, (unknown), (unknown), Yana R. Musinova, (unknown), S. A. Golyshev, S. S. Abramchuk, Yegor Vassetzky, Eugene V. Sheval	2
11	A Method for Automatic Tracking of Cell Nuclei in 2D Epifluorescence Microscopy Image Sequences 2018 ·(unknown), Hideyuki Yaginuma, Yasushi Okada, Dmitry V. Sorokin	2
12	Local Bayesian optimization of motor skills 2017 ·Lincoln Repository (University of Lincoln) ·Riad Akrour, Dmitry V. Sorokin, Jan Peters, Gerhard Neumann	4
13	Automatic detection of laser-induced structures in live cell fluorescent microscopy images using snakes with geometric constraints 2016 ·(unknown), Dmitry V. Sorokin	2
14	Advanced Image Acquisition and Analytical Techniques for Studies of Living Cells and Tissue Sections 2016 ·Microscopy and Microanalysis ·(unknown), (unknown), (unknown), Jana Krejčí, Soňa Legartová, Stanislav Kozubek, Josef Večeřa, Dmitry V. Sorokin, Eva Bártová	5
15	Cell Tracking Accuracy Measurement Based on Comparison of Acyclic Oriented Graphs 2015 ·PLoS ONE ·Pavel Matula, Martin Maška, Dmitry V. Sorokin, (unknown), (unknown), Carlos Ortíz-de-Solórzano, Michal Kozubek	51
16	Localized movement and morphology of UBF1-positive nucleolar regions are changed by γ-irradiation in G2 phase of the cell cycle 2015 ·Nucleus ·Dmitry V. Sorokin, Lenka Stixová, (unknown), Soňa Legartová, (unknown), Pavel Šimara, Stanislav Kozubek, Pavel Matula, Magdalena Skalnı́ková, Ivan Raška, Eva Bártová	9
17	HP1β-dependent recruitment of UBF1 to irradiated chromatin occurs simultaneously with CPDs 2014 ·Epigenetics & Chromatin ·Lenka Stixová, (unknown), Soňa Legartová, Jana Suchánková, (unknown), Stanislav Kozubek, Dmitry V. Sorokin, Pavel Matula, Ivan Raška, Aleš Kovařı́k, Jaroslav Fulneček, Eva Bártová	17
18	Coilin is rapidly recruited to UVA-induced DNA lesions and γ-radiation affects localized movement of Cajal bodies 2014 ·Nucleus ·Eva Bártová, (unknown), Soňa Legartová, (unknown), Dmitry V. Sorokin, Jana Suchánková, Stanislav Kozubek	22
19	Hybrid Detectors Improved Time-Lapse Confocal Microscopy of PML and 53BP1 Nuclear Body Colocalization in DNA Lesions 2013 ·Microscopy and Microanalysis ·(unknown), Pavel Matula, Dmitry V. Sorokin, Stanislav Kozubek, Eva Bártová	26
20	Laguerre projection method for finite Hankel transform of arbitrary order 2010 ·Moscow University Computational Mathematics and Cybernetics ·Dmitry V. Sorokin, A. S. Krylov	0

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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