Денис Турдаков

948 total citations
58 papers, 587 citations indexed

About

Денис Турдаков is a scholar working on Artificial Intelligence, Statistical and Nonlinear Physics and Information Systems. According to data from OpenAlex, Денис Турдаков has authored 58 papers receiving a total of 587 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 18 papers in Statistical and Nonlinear Physics and 17 papers in Information Systems. Recurrent topics in Денис Турдаков's work include Complex Network Analysis Techniques (17 papers), Web Data Mining and Analysis (12 papers) and Advanced Text Analysis Techniques (11 papers). Денис Турдаков is often cited by papers focused on Complex Network Analysis Techniques (17 papers), Web Data Mining and Analysis (12 papers) and Advanced Text Analysis Techniques (11 papers). Денис Турдаков collaborates with scholars based in Russia, United States and Switzerland. Денис Турдаков's co-authors include Pavel Velikhov, Dmitry Lizorkin, Maxim Grinev, Denis A. Fedorenko, A. Avetisyan, Arutyun Avetisyan, K. Antipin, Sergey Nikolenko, Dmitriy Vatolin and Mikhail Krivonosov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and ACM Computing Surveys.

In The Last Decade

Денис Турдаков

44 papers receiving 523 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Денис Турдаков Russia 14 377 178 152 82 82 58 587
Robert Jäschke Germany 14 374 1.0× 152 0.9× 507 3.3× 122 1.5× 138 1.7× 47 750
Tanveer A. Faruquie India 15 340 0.9× 97 0.5× 183 1.2× 84 1.0× 93 1.1× 47 585
Shourya Roy India 16 581 1.5× 72 0.4× 269 1.8× 112 1.4× 53 0.6× 57 789
Engin Demir Türkiye 6 394 1.0× 116 0.7× 228 1.5× 34 0.4× 63 0.8× 13 568
Hung‐Hsuan Chen Taiwan 14 237 0.6× 133 0.7× 219 1.4× 46 0.6× 61 0.7× 40 496
Stephen Dill United States 9 384 1.0× 90 0.5× 383 2.5× 38 0.5× 154 1.9× 15 623
Huawei Shen China 14 337 0.9× 174 1.0× 149 1.0× 63 0.8× 44 0.5× 44 526
Ron Papka United States 8 752 2.0× 215 1.2× 454 3.0× 139 1.7× 76 0.9× 10 925
Richard McCreadie United Kingdom 18 515 1.4× 154 0.9× 415 2.7× 105 1.3× 119 1.5× 66 885
Amin Mantrach Spain 11 285 0.8× 134 0.8× 239 1.6× 98 1.2× 41 0.5× 19 545

Countries citing papers authored by Денис Турдаков

Since Specialization
Citations

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

Fields of papers citing papers by Денис Турдаков

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Денис Турдаков

This figure shows the co-authorship network connecting the top 25 collaborators of Денис Турдаков. A scholar is included among the top collaborators of Денис Турдаков 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 Денис Турдаков. Денис Турдаков 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.
Турдаков, Денис, et al.. (2024). Applying explainable artificial intelligence methods to models for diagnosing personal traits and cognitive abilities by social network data. Scientific Reports. 14(1). 5369–5369. 5 indexed citations
2.
Турдаков, Денис, et al.. (2024). Extrapolation of the Bayesian classifier with an unknown support of the two-class mixture distribution. Russian Mathematical Surveys. 79(6). 991–1015.
3.
Vatolin, Dmitriy, et al.. (2024). Increasing the Robustness of Image Quality Assessment Models Through Adversarial Training. SHILAP Revista de lepidopterología. 12(11). 220–220.
4.
Турдаков, Денис, et al.. (2022). Detecting Influential Users in Social Networks Based on Bipartite Comments Graph. Proceedings of the Institute for System Programming of RAS. 34(5). 127–142.
5.
Турдаков, Денис, et al.. (2022). Detecting Influential Users in Social Networks Based on Bipartite Comments Graph. Proceedings of the Institute for System Programming of RAS. 34(5). 127–142. 1 indexed citations
6.
Турдаков, Денис, et al.. (2022). Methods for determining the elements of the PQRST-complex of the electrocardiogram. Proceedings of the Institute for System Programming of RAS. 34(4). 229–240. 1 indexed citations
7.
Avetisyan, A., et al.. (2021). Assessment of the impact of non-architectural changes in the predictive model on the quality of ECG classification. Proceedings of the Institute for System Programming of RAS. 33(4). 87–98.
8.
Турдаков, Денис, et al.. (2020). Diagnosis of left atrial and left ventricular hypertrophies using a deep neural network. Proceedings of the Institute for System Programming of RAS. 32(4). 141–154. 2 indexed citations
9.
Avetisyan, A., et al.. (2018). Methods for Information Spread Analysis. SHILAP Revista de lepidopterología. 30(6). 199–220. 5 indexed citations
10.
Турдаков, Денис, et al.. (2018). Make Social Networks Clean Again: Graph Embedding and Stacking Classifiers for Bot Detection.. 5 indexed citations
11.
Турдаков, Денис, et al.. (2018). Active learning and crowdsourcing: a survey of annotation optimization methods. SHILAP Revista de lepidopterología. 30(2). 215–250. 3 indexed citations
12.
Турдаков, Денис, et al.. (2016). Parallel modularity computation for directed weighted graphs with overlapping communities. SHILAP Revista de lepidopterología. 28(6). 153–170. 2 indexed citations
13.
Турдаков, Денис, et al.. (2015). Implementing Apache Spark jobs execution and Apache Spark cluster creation for Openstack Sahara. SHILAP Revista de lepidopterología. 27(5). 35–48. 6 indexed citations
14.
Турдаков, Денис, et al.. (2014). Texterra: A Framework for Text Analysis. SHILAP Revista de lepidopterología. 26(1). 421–438. 5 indexed citations
15.
Турдаков, Денис, et al.. (2014). Developing scalable software infrastructure for data storage and processing for computational biology problems. SHILAP Revista de lepidopterología. 26(4). 45–54. 1 indexed citations
16.
Турдаков, Денис, et al.. (2013). Semi-automatic Data Extraction from Tables. 14–20. 5 indexed citations
17.
Турдаков, Денис, et al.. (2011). WikifyMe: Creating Testbed for Wikifers. 21. 38–42. 1 indexed citations
18.
Турдаков, Денис & Dmitry Lizorkin. (2009). HMM Expanded to Multiple Interleaved Chains as a Model for Word Sense Disambiguation. Pacific Asia Conference on Language, Information, and Computation. 549–558. 3 indexed citations
19.
Турдаков, Денис & Pavel Velikhov. (2008). Semantic relatedness metric for wikipedia concepts based on link analysis and its application to word sense disambiguation. 35 indexed citations
20.
Турдаков, Денис. (2007). Recommender System Based on User-generated Content. 2 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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