Vladimir Nikulin

1.5k total citations
30 papers, 114 citations indexed

About

Vladimir Nikulin is a scholar working on Artificial Intelligence, Molecular Biology and Computer Vision and Pattern Recognition. According to data from OpenAlex, Vladimir Nikulin has authored 30 papers receiving a total of 114 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 7 papers in Molecular Biology and 7 papers in Computer Vision and Pattern Recognition. Recurrent topics in Vladimir Nikulin's work include Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (5 papers) and Data Mining Algorithms and Applications (4 papers). Vladimir Nikulin is often cited by papers focused on Gene expression and cancer classification (7 papers), Bioinformatics and Genomic Networks (5 papers) and Data Mining Algorithms and Applications (4 papers). Vladimir Nikulin collaborates with scholars based in Australia, Russia and Taiwan. Vladimir Nikulin's co-authors include Geoffrey J. McLachlan, M. B. Trzhaskovskaya, Shu‐Kay Ng, Suren I. Rathnayake, Alex Smola, George Bebis, Liang-Bi Chen and Victor A. Skormin and has published in prestigious journals such as Statistics & Probability Letters, International Journal of Data Warehousing and Mining and Journal of Artificial Intelligence and Soft Computing Research.

In The Last Decade

Vladimir Nikulin

28 papers receiving 108 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vladimir Nikulin Australia 7 50 20 17 16 13 30 114
Jiaxin Huang China 7 132 2.6× 12 0.6× 7 0.4× 22 1.4× 8 0.6× 10 197
Yuhou Xia United States 5 163 3.3× 34 1.7× 10 0.6× 24 1.5× 6 0.5× 5 202
Christoph Raab Germany 7 141 2.8× 12 0.6× 12 0.7× 14 0.9× 53 4.1× 23 210
Rafael Misoczki United States 5 99 2.0× 48 2.4× 7 0.4× 37 2.3× 8 0.6× 13 144
Joël Falcou France 8 35 0.7× 14 0.7× 14 0.8× 14 0.9× 4 0.3× 22 165
Chris Leary United States 4 38 0.8× 25 1.3× 6 0.4× 15 0.9× 6 0.5× 5 145
Tzachy Reinman Israel 3 81 1.6× 20 1.0× 7 0.4× 70 4.4× 6 0.5× 3 137
André Schrottenloher France 5 116 2.3× 11 0.6× 4 0.2× 54 3.4× 7 0.5× 13 133

Countries citing papers authored by Vladimir Nikulin

Since Specialization
Citations

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

Fields of papers citing papers by Vladimir Nikulin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vladimir Nikulin

This figure shows the co-authorship network connecting the top 25 collaborators of Vladimir Nikulin. A scholar is included among the top collaborators of Vladimir Nikulin 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 Vladimir Nikulin. Vladimir Nikulin 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.
Nikulin, Vladimir, et al.. (2022). Adding silicon dioxide in compound feed. 11–13.
2.
Nikulin, Vladimir, et al.. (2022). Application of machine learning techniques for automated classification and routing in ITIL library. 2022(1). 42–52. 1 indexed citations
3.
Nikulin, Vladimir, et al.. (2021). ESTIMATING STABILITY OF STRUCTURAL AND BRIGHTNESS PROPERTIES IN IMAGE DIGITAL PROCESSING. 2021(2). 39–46. 2 indexed citations
4.
Nikulin, Vladimir & Victor A. Skormin. (2020). Engineering Laboratory Accessible Via The Internet. 6.437.1–6.437.9.
5.
Nikulin, Vladimir. (2016). Prediction of the Shoppers Loyalty with Aggregated Data Streams. Journal of Artificial Intelligence and Soft Computing Research. 6(2). 69–79. 8 indexed citations
6.
Nikulin, Vladimir, et al.. (2015). Mining Shoppers Data Streams to Predict Customers Loyalty. 15. 26–33. 2 indexed citations
7.
Nikulin, Vladimir. (2014). On a solution for the high-dimensionality-small-sample-size regression problem with several different microarrays. International Journal of Data Mining and Bioinformatics. 9(3). 221–221. 2 indexed citations
8.
Nikulin, Vladimir, et al.. (2011). Unsupervised dimensionality reduction via gradient-based matrix factorization with two adaptive learning rates. International Conference on Machine Learning. 181–194. 6 indexed citations
9.
Nikulin, Vladimir. (2011). OpenStudy: recommendations of the following ten lectures after viewing a set of three given lectures. Queensland's institutional digital repository (The University of Queensland). 770. 59–69. 2 indexed citations
10.
Nikulin, Vladimir, et al.. (2011). A very fast algorithm for matrix factorization. Statistics & Probability Letters. 81(7). 773–782. 14 indexed citations
11.
Nikulin, Vladimir, et al.. (2010). Strong Consistency of Prototype Based Clustering in Probabilistic Space. arXiv (Cornell University). 16(1). 775–785. 5 indexed citations
12.
Nikulin, Vladimir, et al.. (2010). A comparative study of two matrix factorization methods applied to the classification of gene expression data. 401. 618–621. 1 indexed citations
13.
Nikulin, Vladimir & Geoffrey J. McLachlan. (2010). Identifying fiber bundles with regularised к-means clustering applied to the grid-based data. 4584. 1–8. 1 indexed citations
14.
Nikulin, Vladimir & Geoffrey J. McLachlan. (2009). Regularised k-means clustering for dimension reduction applied to supervised classification. Queensland's institutional digital repository (The University of Queensland). 3. 1–10. 3 indexed citations
15.
Nikulin, Vladimir & Geoffrey J. McLachlan. (2009). Classification of imbalanced marketing data with balanced random sets. Queensland's institutional digital repository (The University of Queensland). 5. 89–100. 9 indexed citations
16.
Nikulin, Vladimir & Geoffrey J. McLachlan. (2009). On a general method for matrix factorisation applied to supervised classification. 7. 44–49. 2 indexed citations
17.
Nikulin, Vladimir. (2008). Random sets approach and its applications. Queensland's institutional digital repository (The University of Queensland). 3. 65–76. 3 indexed citations
18.
Nikulin, Vladimir. (2005). Threshold-based clustering with merging and regularization in application to network intrusion detection. RePEc: Research Papers in Economics. 1 indexed citations
19.
Nikulin, Vladimir & Alex Smola. (2005). Parametric model-based clustering. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5812. 190–190. 3 indexed citations
20.
Nikulin, Vladimir & George Bebis. (2003). <title>Multiresolution image retrieval through fusion</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5307. 377–387. 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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