Alexey Pryakhin

921 total citations
23 papers, 385 citations indexed

About

Alexey Pryakhin is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Alexey Pryakhin has authored 23 papers receiving a total of 385 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Signal Processing, 8 papers in Computer Vision and Pattern Recognition and 5 papers in Artificial Intelligence. Recurrent topics in Alexey Pryakhin's work include Data Management and Algorithms (13 papers), Time Series Analysis and Forecasting (5 papers) and Machine Learning in Bioinformatics (4 papers). Alexey Pryakhin is often cited by papers focused on Data Management and Algorithms (13 papers), Time Series Analysis and Forecasting (5 papers) and Machine Learning in Bioinformatics (4 papers). Alexey Pryakhin collaborates with scholars based in Germany and Russia. Alexey Pryakhin's co-authors include Matthias Schubert, Christian Böhm, Peer Kröger, Peter Kunath, Hans‐Peter Kriegel, Matthias Renz, Elke Achtert, Arthur Zimek, Karsten Borgwardt and H.-P. Kriegel and has published in prestigious journals such as Data Mining and Knowledge Discovery, Journal of Bioinformatics and Computational Biology and Zenodo (CERN European Organization for Nuclear Research).

In The Last Decade

Alexey Pryakhin

22 papers receiving 356 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alexey Pryakhin Germany	10	225	137	102	97	82	23	385
M. Vazirgiannis Greece	10	266 1.2×	209 1.5×	147 1.4×	194 2.0×	149 1.8×	23	573
Shiyu Yang China	11	150 0.7×	171 1.2×	142 1.4×	122 1.3×	38 0.5×	38	369
Irene Ntoutsi Greece	9	234 1.0×	221 1.6×	77 0.8×	95 1.0×	77 0.9×	16	458
Tomáš Skopal Czechia	13	244 1.1×	146 1.1×	299 2.9×	88 0.9×	56 0.7×	64	501
Ilaria Bartolini Italy	14	405 1.8×	134 1.0×	395 3.9×	253 2.6×	143 1.7×	53	821
Jeffrey Jestes United States	9	238 1.1×	138 1.0×	136 1.3×	337 3.5×	142 1.7×	11	576
Nikos Giatrakos Greece	12	226 1.0×	183 1.3×	44 0.4×	299 3.1×	86 1.0×	34	445
Seung-won Hwang South Korea	14	272 1.2×	300 2.2×	98 1.0×	313 3.2×	342 4.2×	72	742
Jongwuk Lee South Korea	14	315 1.4×	213 1.6×	177 1.7×	231 2.4×	304 3.7×	65	676
Jae‐Woo Chang South Korea	12	107 0.5×	328 2.4×	90 0.9×	194 2.0×	114 1.4×	96	542

Countries citing papers authored by Alexey Pryakhin

Since Specialization

Citations

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

Fields of papers citing papers by Alexey Pryakhin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexey Pryakhin

This figure shows the co-authorship network connecting the top 25 collaborators of Alexey Pryakhin. A scholar is included among the top collaborators of Alexey Pryakhin 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 Alexey Pryakhin. Alexey Pryakhin 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

Чирков, Д. В., et al.. (2022). Experience of Using the Program “Universal Mechanism” for Calculating the Automation of Small Arms and Assessing the Prospects for Its Use. Vestnik IzhGTU imeni M T Kalashnikova. 25(1). 27–37. 1 indexed citations

Gong, Jing, et al.. (2010). Investigating a Correlation between Subcellular Localization and Fold of Proteins. Zenodo (CERN European Organization for Nuclear Research). 2 indexed citations

Gong, Jing, et al.. (2009). SUPERVISED ENSEMBLES OF PREDICTION METHODS FOR SUBCELLULAR LOCALIZATION. Journal of Bioinformatics and Computational Biology. 7(2). 269–285. 10 indexed citations

Kriegel, Hans‐Peter, Peter Kunath, Alexey Pryakhin, & Matthias Schubert. (2008). MUSE: Multi-Represented Similarity Estimation. 84. 1340–1342. 2 indexed citations

Kriegel, Hans‐Peter, et al.. (2008). T-Time: Threshold-Based Data Mining on Time Series. 1620–1623. 6 indexed citations

Böhm, Christian, Michael Gruber, Peter Kunath, Alexey Pryakhin, & Matthias Schubert. (2007). ProVeR: Probabilistic Video Retrieval using the Gauss-Tree. 1521–1522. 13 indexed citations

Gong, Jing, et al.. (2007). SUPERVISED ENSEMBLES OF PREDICTION METHODS FOR SUBCELLULAR LOCALIZATION. 29–38. 1 indexed citations

Achtert, Elke, Christian Böhm, Peer Kröger, et al.. (2007). Efficient reverse k-nearest neighbor estimation. 21(3-4). 179–195. 12 indexed citations

Achtert, Elke, et al.. (2006). Clustering Multi-Represented Objects Using Combination Trees.

10.

Achtert, Elke, Christian Böhm, Peer Kröger, et al.. (2006). Efficient reverse k-nearest neighbor search in arbitrary metric spaces. 515–526. 86 indexed citations

11.

Kriegel, Hans‐Peter, et al.. (2006). Hierarchical Genre Classification for Large Music Collections. 1385–1388. 15 indexed citations

12.

Böhm, Christian, Alexey Pryakhin, & Matthias Schubert. (2006). Probabilistic Ranking Queries on Gaussians. 169–178. 12 indexed citations

13.

Achtert, Elke, Christian Böhm, Peer Kröger, et al.. (2006). Approximate reverse k-nearest neighbor queries in general metric spaces. 788–788. 6 indexed citations

14.

Böhm, Christian, Alexey Pryakhin, & Matthias Schubert. (2006). The Gauss-Tree: Efficient Object Identification in Databases of Probabilistic Feature Vectors. 9–9. 72 indexed citations

15.

Kriegel, H.-P., et al.. (2006). Effective Similarity Search in Multimedia Databases using Multiple Representations. 389–392. 9 indexed citations

16.

Kriegel, H.-P., et al.. (2006). Time Series Analysis Using the Concept of Adaptable Threshold Similarity. 251–260. 3 indexed citations

17.

Kriegel, H.-P., Peer Kröger, Alexey Pryakhin, & Matthias Schubert. (2006). Effective and Efficient Distributed Model-Based Clustering. 258–265. 18 indexed citations

18.

Achtert, Elke, Hans‐Peter Kriegel, Alexey Pryakhin, & Matthias Schubert. (2005). Hierarchical Density-Based Clustering for Multi-Represented Objects. 5 indexed citations

19.

Kriegel, H.-P., et al.. (2005). SEMI-SUPERVISED THRESHOLD QUERIES ON PHARMACOGENOMICS TIME SEQUENCES. 307–316. 1 indexed citations

20.

Kriegel, Hans‐Peter, Peer Kröger, Alexey Pryakhin, & Matthias Schubert. (2004). Using Support Vector Machines for Classifying Large Sets of Multi-Represented Objects. 102–113. 14 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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