L. V. Savchenko

451 total citations · 1 hit paper
23 papers, 235 citations indexed

About

L. V. Savchenko is a scholar working on Computer Vision and Pattern Recognition, Global and Planetary Change and Signal Processing. According to data from OpenAlex, L. V. Savchenko has authored 23 papers receiving a total of 235 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Computer Vision and Pattern Recognition, 8 papers in Global and Planetary Change and 7 papers in Signal Processing. Recurrent topics in L. V. Savchenko's work include Diverse Scientific Research in Ukraine (8 papers), Speech and Audio Processing (7 papers) and Advanced Scientific Research Methods (5 papers). L. V. Savchenko is often cited by papers focused on Diverse Scientific Research in Ukraine (8 papers), Speech and Audio Processing (7 papers) and Advanced Scientific Research Methods (5 papers). L. V. Savchenko collaborates with scholars based in Russia. L. V. Savchenko's co-authors include A. Savchenko, Ilya Makarov and В. В. Савченко and has published in prestigious journals such as IEEE Access, Information Sciences and IEEE Transactions on Affective Computing.

In The Last Decade

L. V. Savchenko

21 papers receiving 225 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.

Classifying Emotions and Engagement in Online Learning Based on a Single Facial Expression Recognition Neural Network

2022 163 citations A. Savchenko, L. V. Savchenko et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L. V. Savchenko Russia	6	100	89	42	32	26	23	235
Nathaniel Blanchard United States	9	36 0.4×	21 0.2×	52 1.2×	4 0.1×	21 0.8×	21	183
Selvarajah Thuseethan Australia	10	85 0.8×	72 0.8×	64 1.5×		13 0.5×	30	278
L. B. Krithika India	7	51 0.5×	71 0.8×	47 1.1×	2 0.1×	5 0.2×	22	216
Zhiqi Shen Singapore	9	173 1.7×	28 0.3×	117 2.8×	3 0.1×	4 0.2×	25	302
Chris Rooney United Kingdom	9	123 1.2×	13 0.1×	40 1.0×	2 0.1×	18 0.7×	24	192
Mariusz Szwoch Poland	8	61 0.6×	122 1.4×	47 1.1×		24 0.9×	13	212
Mathias Sablé-Meyer France	9	20 0.2×	27 0.3×	114 2.7×	6 0.2×	9 0.3×	16	283
Swadha Gupta India	7	51 0.5×	81 0.9×	59 1.4×	1 0.0×	9 0.3×	17	226
Fang-Fei Kuo Taiwan	9	141 1.4×	28 0.3×	57 1.4×	2 0.1×	138 5.3×	12	271
Yangzhou Du China	10	169 1.7×	15 0.2×	33 0.8×	2 0.1×	41 1.6×	27	225

Countries citing papers authored by L. V. Savchenko

Since Specialization

Citations

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

Fields of papers citing papers by L. V. Savchenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L. V. Savchenko. 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 L. V. Savchenko. The network helps show where L. V. Savchenko may publish in the future.

Co-authorship network of co-authors of L. V. Savchenko

This figure shows the co-authorship network connecting the top 25 collaborators of L. V. Savchenko. A scholar is included among the top collaborators of L. V. Savchenko 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 L. V. Savchenko. L. V. Savchenko 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

Savchenko, L. V., et al.. (2025). Leveraging Lightweight Facial Models and Textual Modality in Audio-Visual Emotional Understanding in-the-Wild. 5778–5788. 1 indexed citations

Савченко, В. В. & L. V. Savchenko. (2025). Method of a voice source acoustic analysis in real time. Izmeritel`naya Tekhnika. 74(4). 64–73.

Савченко, В. В. & L. V. Savchenko. (2024). Linear prediction coefficients correction method for digital speech processing systems with data compression based on the autoregressive model of a voice signal. Радиотехника и электроника. 69(4). 339–347. 1 indexed citations

Савченко, В. В. & L. V. Savchenko. (2024). Method for testing the stability of an autoregressive model of the vocal tract and adjusting its parameters. Izmeritel`naya Tekhnika. 54–63. 1 indexed citations

Савченко, В. В. & L. V. Savchenko. (2024). Method for asynchronous analysis of a glottal source based on a two-level autoregressive model of the speech signal. Izmeritel`naya Tekhnika. 55–62. 2 indexed citations

Савченко, В. В. & L. V. Savchenko. (2024). Two-stage algorithm of spectral analysis for the automatic speech recognition systems. Measurement Techniques. 67(7). 553–563. 2 indexed citations

Савченко, В. В. & L. V. Savchenko. (2024). A method for the asynchronous analysis of a voice source based on a two-Level autoregressive model of speech signal. Measurement Techniques. 67(2). 151–161. 2 indexed citations

Савченко, В. В. & L. V. Savchenko. (2023). Suboptimal Algorithm for Measuring Pitch Frequency Using Discrete Fourier Transform of a Speech Signal. Journal of Communications Technology and Electronics. 68(7). 757–764. 4 indexed citations

Savchenko, A., L. V. Savchenko, & Ilya Makarov. (2023). Fast Search of Face Recognition Model for a Mobile Device Based on Neural Architecture Comparator. IEEE Access. 11. 65977–65990. 6 indexed citations

10.

Savchenko, A. & L. V. Savchenko. (2023). Three-way classification for sequences of observations. Information Sciences. 648. 119540–119540. 1 indexed citations

11.

Savchenko, A. & L. V. Savchenko. (2022). Audio-Visual Continuous Recognition of Emotional State in a Multi-User System Based on Personalized Representation of Facial Expressions and Voice. Pattern Recognition and Image Analysis. 32(3). 665–671. 2 indexed citations

12.

Савченко, В. В. & L. V. Savchenko. (2021). Speech Signal Autoregression Modeling Based on the Discrete Fourier Transform and Scale-Invariant Measure of Information Discrimination. Journal of Communications Technology and Electronics. 66(11). 1266–1273. 5 indexed citations

13.

Savchenko, L. V. & A. Savchenko. (2021). The method of real-time acoustic measurement of dynamical changes in the speaker’s emotional state. Izmeritel`naya Tekhnika. 49–57.

14.

Savchenko, L. V. & A. Savchenko. (2021). A Method of Real-Time Dynamic Measurement of a Speaker’s Emotional State from a Speech Waveform. Measurement Techniques. 64(4). 319–327. 4 indexed citations

15.

Savchenko, A., В. В. Савченко, & L. V. Savchenko. (2021). Gain-optimized spectral distortions for pronunciation training. Optimization Letters. 16(7). 2095–2113. 6 indexed citations

16.

Savchenko, L. V.. (2020). Isolated Words Recognition Based on Weighted Voting of Speaker-Dependent Neural Network Acoustic Models. INFORMACIONNYE TEHNOLOGII. 26(5). 290–296. 6 indexed citations

17.

Savchenko, A., et al.. (2020). Neural Attention Mechanism and Linear Squeezing of Descriptors in Image Classification for Visual Recommender Systems. Optical Memory and Neural Networks. 29(4). 297–304. 2 indexed citations

18.

Савченко, В. В. & L. V. Savchenko. (2019). Measurements method of the speech signal intelligibility in the Kullback–Leibler information metric. Izmeritel`naya Tekhnika. 59–64. 5 indexed citations

19.

Savchenko, L. V. & A. Savchenko. (2019). Fuzzy Phonetic Encoding of Speech Signals in Voice Processing Systems. Journal of Communications Technology and Electronics. 64(3). 238–244. 3 indexed citations

20.

Savchenko, A., et al.. (2018). Fuzzy Analysis and Deep Convolution Neural Networks in Still-to-video Recognition. Optical Memory and Neural Networks. 27(1). 23–31. 9 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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