O. V. Sen’ko

1.3k total citations · 1 hit paper
83 papers, 875 citations indexed

About

O. V. Sen’ko is a scholar working on Artificial Intelligence, Materials Chemistry and Molecular Biology. According to data from OpenAlex, O. V. Sen’ko has authored 83 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Artificial Intelligence, 12 papers in Materials Chemistry and 8 papers in Molecular Biology. Recurrent topics in O. V. Sen’ko's work include Statistical and Computational Modeling (14 papers), Crystal Structures and Properties (5 papers) and Statistical and numerical algorithms (4 papers). O. V. Sen’ko is often cited by papers focused on Statistical and Computational Modeling (14 papers), Crystal Structures and Properties (5 papers) and Statistical and numerical algorithms (4 papers). O. V. Sen’ko collaborates with scholars based in Russia, United Kingdom and United States. O. V. Sen’ko's co-authors include Anna V. Ivshina, Vladimir A. Kuznetsov, Lance D. Miller, Thomas Choudary Putti, Joshy George, John E.L. Wong, Jonas Bergh, Per Hall, Johanna Smeds and Hans Nordgren and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and The Journal of Urology.

In The Last Decade

O. V. Sen’ko

65 papers receiving 832 citations

Hit Papers

align trajectories

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.

Genetic Reclassification of Histologic Grade Delineates New Clinical Subtypes of Breast Cancer

2006 543 citations Anna V. Ivshina, Joshy George et al. Cancer Research profile →

Peers

Countries citing papers authored by O. V. Sen’ko

Since Specialization

Citations

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

Fields of papers citing papers by O. V. Sen’ko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by O. V. Sen’ko. 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 O. V. Sen’ko. The network helps show where O. V. Sen’ko may publish in the future.

Co-authorship network of co-authors of O. V. Sen’ko

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Evaluation of the age-specific relationship between PTH and vitamin D metabolites 2024 ·Bone Reports ·(unknown), (unknown), (unknown), (unknown), O. V. Sen’ko, А. В. Кузнецова, (unknown), (unknown), Ekaterina Pigarova, Liudmila Rozhinskaya, Natalia Mokrysheva	1
2	Diagnostics and Assessment of the Severity of Alzheimer’s Disease: Machine Learning Algorithms Based on Markers of Inflammation 2024 ·Psikhiatriya ·(unknown), (unknown), O. V. Sen’ko, (unknown), А. В. Кузнецова, T. P. Klyushnik	0
3	Prediction of the Melting Points of Double Halides 2023 ·Russian Journal of Inorganic Chemistry ·(unknown), (unknown), (unknown), (unknown), O. V. Sen’ko, (unknown)	0
4	Methods of intellectual data analysis in COVID-19 research 2022 ·SHILAP Revista de lepidopterología ·O. V. Sen’ko, А. В. Кузнецова, (unknown), (unknown), (unknown), (unknown), В. Г. Акимкин	1
5	Method for Improving Gradient Boosting Learning Efficiency Based on Modified Loss Functions 2022 ·Automation and Remote Control ·(unknown), O. V. Sen’ko	1
6	Two-Level Regression Method Using Ensembles of Trees with Optimal Divergence 2021 ·Doklady Mathematics ·Yu. I. Zhuravlev, O. V. Sen’ko, (unknown), (unknown), (unknown)	3
7	Determining Subgroups of Significant Correlation in Analyzing Relation between NR2 Antibodies and Factor VIII in Acute Neurological Diseases 2021 ·Mathematical Biology and Bioinformatics ·(unknown), O. V. Sen’ko, Brusov Os, (unknown), (unknown), А. В. Кузнецова, (unknown)	1
8	Comparison of Arctic zone RF companies with different Polar Index ratings by economic criteria with the help of machine learning tools 2020 ·Computer Research and Modeling ·(unknown), А. В. Кузнецова, (unknown), O. V. Sen’ko	1
9	RISK FACTORS OF HOSPITAL MORTALITY IN PATIENTS WITH TB/HIV CO-INFECTION CONFINED IN THE PENITENTIARY SYSTEM 2019 ·Tuberculosis and lung diseases ·(unknown), (unknown), А. В. Кузнецова, O. V. Sen’ko	0
10	On Possibility of Machine Learning Application for Diagnosing Dementia by Eeg Signals 2019 ·Mathematical Biology and Bioinformatics ·(unknown), O. V. Sen’ko, (unknown), (unknown), А. В. Кузнецова	2
11	Gender peculiarities of interrelations between cardiovascular risk factors and development of prehypertension 2018 ·(unknown), M. A. Gruden, O. V. Sen’ko, (unknown), А. В. Кузнецова, (unknown)	0
12	Optimal Partitioning Method for Evaluating of Effect of Hemoglobin Oxygenation Levels of Vessel Endothelial Growth Factor 2018 ·Mathematical Biology and Bioinformatics ·O. V. Sen’ko, (unknown), А. В. Кузнецова, (unknown), (unknown), (unknown), (unknown)	2
13	Non-Invasive Arterial Pressure Estimating With the Cardiac Monitor CardioQvark 2017 ·Mathematical Biology and Bioinformatics ·O. V. Sen’ko	2
14	Climate and institutional matrices: Cross-country analysis 2015 ·Sotsiologicheskie issledovaniya ·Svetlana Kirdina, А. В. Кузнецова, O. V. Sen’ko	3
15	THE ROLE OF SELENIUM IN THE MULTIVARIATE ETIOPATHOGENESIS OF ISCHEMIC STROKE 2015 ·(unknown), (unknown), (unknown), (unknown), O. V. Sen’ko, (unknown), (unknown), (unknown)	1
16	A Method for Evaluating Validity of Piecewise-linear Models 2014 ·O. V. Sen’ko, (unknown), Ekaterina Pigarova, Liudmila Rozhinskaya, А. В. Кузнецова	4
17	Optimal convex correcting procedures in problems of high dimension 2011 ·Computational Mathematics and Mathematical Physics ·(unknown), O. V. Sen’ko	4
18	Genetic Reclassification of Histologic Grade Delineates New Clinical Subtypes of Breast Cancer breakdown → 2006 ·Cancer Research ·Anna V. Ivshina, Joshy George, O. V. Sen’ko, Benjamin Mow, Thomas Choudary Putti, Johanna Smeds, Thomas Lindahl, Yudi Pawitan, Per Hall, Hans Nordgren, John E.L. Wong, Edison T. Liu, Jonas Bergh, Vladimir A. Kuznetsov, Lance D. Miller	543
19	RECOGNITION: A UNIVERSAL SOFTWARE SYSTEM FOR RECOGNITION, DATA MINING, AND FORECASTING 2005 ·Pattern Recognition and Image Analysis ·Yu. I. Zhuravlev, (unknown), O. V. Sen’ko, (unknown), Dmitry Vetrov, (unknown), (unknown), (unknown), Anton Obukhov, (unknown), (unknown), (unknown), (unknown)	2
20	The use of a weighted voting procedure on a system of basis sets in prediction problems 1995 ·Computational Mathematics and Mathematical Physics ·O. V. Sen’ko	1

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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