D. S. Lavrova

453 total citations
43 papers, 308 citations indexed

About

D. S. Lavrova is a scholar working on Control and Systems Engineering, Computer Networks and Communications and Management of Technology and Innovation. According to data from OpenAlex, D. S. Lavrova has authored 43 papers receiving a total of 308 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 19 papers in Computer Networks and Communications and 15 papers in Management of Technology and Innovation. Recurrent topics in D. S. Lavrova's work include Economic and Technological Systems Analysis (15 papers), Advanced Data Processing Techniques (12 papers) and Cybersecurity and Information Systems (11 papers). D. S. Lavrova is often cited by papers focused on Economic and Technological Systems Analysis (15 papers), Advanced Data Processing Techniques (12 papers) and Cybersecurity and Information Systems (11 papers). D. S. Lavrova collaborates with scholars based in Russia. D. S. Lavrova's co-authors include D. P. Zegzhda, Maxim Kalinin, E. Yu. Pavlenko, P. D. Zegzhda, E. Popova and Vasiliy Krundyshev and has published in prestigious journals such as SHILAP Revista de lepidopterología, Symmetry and Journal of Computer and Systems Sciences International.

In The Last Decade

D. S. Lavrova

38 papers receiving 296 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. S. Lavrova Russia 10 165 133 116 81 62 43 308
E. Yu. Pavlenko Russia 10 116 0.7× 88 0.7× 88 0.8× 98 1.2× 68 1.1× 41 270
Renzhong Wang United States 9 39 0.2× 103 0.8× 11 0.1× 41 0.5× 53 0.9× 26 300
David Carney United States 8 17 0.1× 16 0.1× 45 0.4× 160 2.0× 121 2.0× 25 244
Alexandra Mazak Austria 10 22 0.1× 56 0.4× 40 0.3× 64 0.8× 65 1.0× 36 328
Evgenia Novikova Russia 10 12 0.1× 59 0.4× 163 1.4× 103 1.3× 204 3.3× 50 354
Lucio Levi Germany 10 11 0.1× 14 0.1× 61 0.5× 113 1.4× 125 2.0× 35 331
Nikolai Chilov Russia 7 30 0.2× 13 0.1× 35 0.3× 70 0.9× 92 1.5× 25 185
Lee W. Wagenhals United States 11 21 0.1× 162 1.2× 57 0.5× 90 1.1× 113 1.8× 22 326
Markus Buschle Sweden 12 11 0.1× 27 0.2× 153 1.3× 221 2.7× 48 0.8× 17 346
Tim Grance United States 7 8 0.0× 67 0.5× 124 1.1× 164 2.0× 66 1.1× 10 271

Countries citing papers authored by D. S. Lavrova

Since Specialization
Citations

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

Fields of papers citing papers by D. S. Lavrova

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. S. Lavrova. 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 D. S. Lavrova. The network helps show where D. S. Lavrova may publish in the future.

Co-authorship network of co-authors of D. S. Lavrova

This figure shows the co-authorship network connecting the top 25 collaborators of D. S. Lavrova. A scholar is included among the top collaborators of D. S. Lavrova 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 D. S. Lavrova. D. S. Lavrova 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.
Lavrova, D. S., et al.. (2024). Detecting Synthesized Audio Files Using Graph Neural Networks. Automatic Control and Computer Sciences. 58(8). 1212–1217. 1 indexed citations
2.
Lavrova, D. S., et al.. (2023). Early Detection of Network Attacks Based on Weight-Insensitive Neural Networks. Automatic Control and Computer Sciences. 57(8). 1047–1054. 1 indexed citations
3.
Lavrova, D. S., et al.. (2023). Probabilistic Approach to Estimate the Cyber Resistance of Mobile Networks Based on Their Connectivity. Automatic Control and Computer Sciences. 57(8). 1103–1115. 2 indexed citations
4.
Lavrova, D. S., et al.. (2022). Bank Fraud Detection with Graph Neural Networks. Automatic Control and Computer Sciences. 56(8). 865–873. 3 indexed citations
5.
Pavlenko, E. Yu., et al.. (2022). RECOGNITION OF CYBER THREATS ON THE ADAPTIVE NETWORK TOPOLOGY OF LARGE-SCALE SYSTEMS BASED ON A RECURRENT NEURAL NETWORK. Voprosy kiberbezopasnosti. 93–99. 1 indexed citations
6.
Lavrova, D. S., et al.. (2021). Multifractal Security Analysis of Cyberphysical Systems. Digital Library of the Belarusian State University (Belarusian State University).
7.
Kalinin, Maxim, et al.. (2021). Application of Bioinformatics Algorithms for 3RO\PRUSKLF Cyberattacks Detection. SHILAP Revista de lepidopterología. 20(4). 820–844. 2 indexed citations
8.
Pavlenko, E. Yu., et al.. (2021). Detecting Network Attacks on Software Configured Networks Using the Isolating Forest Algorithm. Automatic Control and Computer Sciences. 55(8). 1039–1050. 2 indexed citations
9.
Lavrova, D. S., et al.. (2021). Detecting Anomalies in Cyber-Physical Systems Using Graph Neural Networks. Automatic Control and Computer Sciences. 55(8). 1051–1060. 1 indexed citations
10.
Lavrova, D. S., et al.. (2020). The Analysis of Artificial Neural Network Structure Recovery Possibilities Based on the Theory of Graphs. Automatic Control and Computer Sciences. 54(8). 977–982. 2 indexed citations
11.
Lavrova, D. S., et al.. (2019). Simulation of Complex Objects Network Infrastructure to Solve The Problem of Counteraction to Cyber Attacks. Voprosy kiberbezopasnosti. 13–20. 6 indexed citations
12.
Lavrova, D. S., et al.. (2019). Using GRU neural network for cyber-attack detection in automated process control systems. 1–3. 23 indexed citations
13.
Lavrova, D. S., et al.. (2018). Detection of cyber threats to network infrastructure of digital production based on the methods of Big Data and multifractal analysis of traffic. SHILAP Revista de lepidopterología. 44. 51–51. 6 indexed citations
14.
Zegzhda, P. D., et al.. (2018). A Use Case Analysis of Heterogeneous Semistructured Objects in Information Security Problems. Automatic Control and Computer Sciences. 52(8). 918–930. 6 indexed citations
15.
Lavrova, D. S., et al.. (2018). Security analysis of cyber-physical systems network infrastructure. 818–823. 18 indexed citations
16.
Lavrova, D. S., et al.. (2017). Approach to Internet of Things detection of security incidents using SIEM technology.
17.
Lavrova, D. S., et al.. (2016). AN APPROACH TO DATA NORMALIZATION IN THE INTERNET OF THINGS FOR SECURITY ANALYSIS. Международный журнал Программные продукты и системы. 3 indexed citations
18.
Zegzhda, P. D., et al.. (2016). Safe Integration of SIEM Systems with Internet of Things. 81–87. 19 indexed citations
19.
Lavrova, D. S., et al.. (2015). Applying correlation analysis methods to control flow violation detection in the internet of things. Automatic Control and Computer Sciences. 49(8). 735–740. 31 indexed citations
20.
Lavrova, D. S., et al.. (2015). Applying Correlation and Regression Analysis to Detect Security Incidents in the Internet of Things. 12 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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