Elena Ryumina

459 total citations
31 papers, 262 citations indexed

About

Elena Ryumina is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Signal Processing. According to data from OpenAlex, Elena Ryumina has authored 31 papers receiving a total of 262 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Experimental and Cognitive Psychology, 9 papers in Artificial Intelligence and 8 papers in Signal Processing. Recurrent topics in Elena Ryumina's work include Emotion and Mood Recognition (12 papers), Speech and Audio Processing (6 papers) and Face recognition and analysis (5 papers). Elena Ryumina is often cited by papers focused on Emotion and Mood Recognition (12 papers), Speech and Audio Processing (6 papers) and Face recognition and analysis (5 papers). Elena Ryumina collaborates with scholars based in Russia, Netherlands and Germany. Elena Ryumina's co-authors include Alexey Karpov, Dmitry Ryumin, Denis Ivanko, Heysem Kaya, Alexey Kashevnik, Wolfgang Minker, Andrey N. Kuskov, Mikhail I. Shtilman, Н. И. Ларионова and Victor I. Tsetlin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Sensors.

In The Last Decade

Elena Ryumina

27 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Elena Ryumina Russia 9 81 79 71 54 48 31 262
Kalin Stefanov Australia 10 49 0.6× 104 1.3× 62 0.9× 34 0.6× 96 2.0× 31 248
Stuart Cunningham United Kingdom 8 50 0.6× 66 0.8× 78 1.1× 23 0.4× 29 0.6× 50 276
Yuxuan Lan United Kingdom 12 27 0.3× 140 1.8× 237 3.3× 25 0.5× 65 1.4× 19 411
Renaud Séguier France 9 134 1.7× 159 2.0× 55 0.8× 30 0.6× 45 0.9× 37 277
Chaoran Liu Japan 11 82 1.0× 81 1.0× 61 0.9× 63 1.2× 131 2.7× 39 320
Fangbing Qu China 7 159 2.0× 150 1.9× 28 0.4× 30 0.6× 45 0.9× 16 265
Ylva Ferstl Ireland 12 54 0.7× 180 2.3× 42 0.6× 164 3.0× 109 2.3× 18 401
Niki Aifanti Greece 6 106 1.3× 246 3.1× 52 0.7× 61 1.1× 20 0.4× 9 286
Hrishikesh Rao United States 6 33 0.4× 75 0.9× 14 0.2× 50 0.9× 23 0.5× 13 235
Silvan Mertes Germany 8 26 0.3× 45 0.6× 29 0.4× 27 0.5× 77 1.6× 26 183

Countries citing papers authored by Elena Ryumina

Since Specialization
Citations

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

Fields of papers citing papers by Elena Ryumina

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Elena Ryumina

This figure shows the co-authorship network connecting the top 25 collaborators of Elena Ryumina. A scholar is included among the top collaborators of Elena Ryumina 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 Elena Ryumina. Elena Ryumina 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.
Ryumina, Elena, et al.. (2025). Cross-Lingual Bimodal Emotion Recognition with LLM-Based Label Smoothing. Big Data and Cognitive Computing. 9(11). 285–285.
2.
Ryumina, Elena, et al.. (2025). Multi-corpus emotion recognition method based on cross-modal gated attention fusion. Pattern Recognition Letters. 190. 192–200. 3 indexed citations
3.
Ryumina, Elena, et al.. (2025). A method for generating digital avatar animation with speech and non-verbal synchronization based on bimodal data. Scientific and technical journal of information technologies mechanics and optics. 25(4). 651–662.
4.
Ryumin, Dmitry, et al.. (2024). Audio–visual speech recognition based on regulated transformer and spatio–temporal fusion strategy for driver assistive systems. Expert Systems with Applications. 252. 124159–124159. 15 indexed citations
5.
Ryumina, Elena, et al.. (2024). Zero-Shot Audio-Visual Compound Expression Recognition Method based on Emotion Probability Fusion. 4752–4760. 7 indexed citations
6.
Ryumina, Elena, et al.. (2024). Gated Siamese Fusion Network based on multimodal deep and hand-crafted features for personality traits assessment. Pattern Recognition Letters. 185. 45–51. 2 indexed citations
7.
Ryumina, Elena, et al.. (2023). Neural network-based method for visual recognition of driver's voice commands using attention mechanism. SHILAP Revista de lepidopterología. 23(4). 767–775. 1 indexed citations
8.
Ryumina, Elena & Alexey Karpov. (2023). IMPACT OF VISUAL MODALITIES IN MULTIMODAL PERSONALITY AND AFFECTIVE COMPUTING. SHILAP Revista de lepidopterología. XLVIII-2/W3-2023. 217–224. 3 indexed citations
9.
Ryumina, Elena, et al.. (2023). Multi-Corpus Learning for Audio–Visual Emotions and Sentiment Recognition. Mathematics. 11(16). 3519–3519. 3 indexed citations
10.
Ryumina, Elena, et al.. (2023). OCEAN-AI framework with EmoFormer cross-hemiface attention approach for personality traits assessment. Expert Systems with Applications. 239. 122441–122441. 9 indexed citations
11.
Ivanko, Denis, Elena Ryumina, & Dmitry Ryumin. (2023). IMPROVED AUTOMATIC LIP-READING BASED ON THE EVALUATION OF INTENSITY LEVEL OF SPEAKER’S EMOTION. SHILAP Revista de lepidopterología. XLVIII-2/W3-2023. 89–94. 2 indexed citations
12.
Ryumina, Elena, et al.. (2022). End-to-End Modeling and Transfer Learning for Audiovisual Emotion Recognition in-the-Wild. Multimodal Technologies and Interaction. 6(2). 11–11. 18 indexed citations
13.
Ryumina, Elena, et al.. (2022). Analysis of infoware and software for human affective states recognition. SHILAP Revista de lepidopterología. 21(6). 1097–1144. 2 indexed citations
14.
Ryumina, Elena, et al.. (2022). In search of a robust facial expressions recognition model: A large-scale visual cross-corpus study. Neurocomputing. 514. 435–450. 39 indexed citations
15.
Ryumina, Elena, et al.. (2021). Analytical Review of Audiovisual Systems for Determining Personal Protective Equipment on a Person's Face. SHILAP Revista de lepidopterología. 20(5). 1116–1152. 4 indexed citations
16.
Ryumina, Elena & Alexey Karpov. (2020). Facial Expression Recognition using Distance Importance Scores Between Facial Landmarks. paper32–1. 10 indexed citations
17.
Ryumina, Elena & Alexey Karpov. (2020). Comparative analysis of methods for imbalance elimination of emotion classes in video data of facial expressions. SHILAP Revista de lepidopterología. 20(5). 683–691. 6 indexed citations
18.
Osipov, Alexey V., Dmitry Y. Mordvintsev, Vladislav G. Starkov, et al.. (2005). Naja melanoleuca cobra venom contains two forms of complement-depleting factor (CVF). Toxicon. 46(4). 394–403. 13 indexed citations
19.
Kuskov, Andrey N., et al.. (2004). Interaction of Polymer Aggregates Based on Stearoyl-poly-N-vinylpyrrolidone with Blood Components. Biochemistry (Moscow). 69(6). 621–628. 20 indexed citations
20.
Ryumina, Elena, et al.. (2000). HUMAN COMPLEMENT SYSTEM STATE AFTER WOBENZYME INTAKE. 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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