Valentin Malykh

1.1k total citations
39 papers, 249 citations indexed

About

Valentin Malykh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Information Systems. According to data from OpenAlex, Valentin Malykh has authored 39 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Artificial Intelligence, 10 papers in Computer Vision and Pattern Recognition and 4 papers in Information Systems. Recurrent topics in Valentin Malykh's work include Topic Modeling (24 papers), Natural Language Processing Techniques (20 papers) and Advanced Text Analysis Techniques (10 papers). Valentin Malykh is often cited by papers focused on Topic Modeling (24 papers), Natural Language Processing Techniques (20 papers) and Advanced Text Analysis Techniques (10 papers). Valentin Malykh collaborates with scholars based in Russia, Sweden and United States. Valentin Malykh's co-authors include Elena Tutubalina, Sergey Nikolenko, Zulfat Miftahutdinov, Taras Khakhulin, Varvara Logacheva, Ilseyar Alimova, Alexey Sorokin, Mikhail Burtsev, М. В. Архипов and Yuri Kuratov and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and Journal of Biomedical Informatics.

In The Last Decade

Valentin Malykh

29 papers receiving 222 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Valentin Malykh Russia 7 200 64 21 20 17 39 249
Michael Tanenblatt United States 8 252 1.3× 180 2.8× 22 1.0× 12 0.6× 15 0.9× 12 325
Braden Hancock United States 7 139 0.7× 31 0.5× 25 1.2× 36 1.8× 5 0.3× 9 191
Sunil Mohan United States 7 120 0.6× 73 1.1× 19 0.9× 35 1.8× 3 0.2× 9 183
Alexander R. Fabbri United States 11 314 1.6× 42 0.7× 30 1.4× 46 2.3× 8 0.5× 20 380
Artem Shelmanov Russia 9 189 0.9× 22 0.3× 33 1.6× 20 1.0× 14 0.8× 32 254
Matthew R. Gormley United States 10 318 1.6× 37 0.6× 40 1.9× 25 1.3× 5 0.3× 29 380
Xiangru Tang United States 7 234 1.2× 32 0.5× 31 1.5× 18 0.9× 5 0.3× 22 317
Suzan Üsküdarlı Türkiye 9 127 0.6× 27 0.4× 34 1.6× 32 1.6× 19 1.1× 33 173
Anne-Lyse Minard France 6 218 1.1× 59 0.9× 13 0.6× 22 1.1× 15 0.9× 13 240
Marco Basaldella Italy 6 187 0.9× 122 1.9× 10 0.5× 16 0.8× 8 0.5× 13 221

Countries citing papers authored by Valentin Malykh

Since Specialization
Citations

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

Fields of papers citing papers by Valentin Malykh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valentin Malykh

This figure shows the co-authorship network connecting the top 25 collaborators of Valentin Malykh. A scholar is included among the top collaborators of Valentin Malykh 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 Valentin Malykh. Valentin Malykh 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.
Golovatiuk, A., et al.. (2024). Segmentation of the Iris and Pupil of the Human Eye in Images from an Infrared Camera. Pattern Recognition and Image Analysis. 34(3). 855–862. 2 indexed citations
2.
Malykh, Valentin, et al.. (2024). Universal Filter-Based Lightweight Image Enhancement Model with Unpaired Learning Mode. SHILAP Revista de lepidopterología. 711–720.
3.
Malykh, Valentin, et al.. (2024). A Model Based on Universal Filters for Image Color Correction. Pattern Recognition and Image Analysis. 34(3). 844–854. 1 indexed citations
4.
Malykh, Valentin, Taras Khakhulin, & Varvara Logacheva. (2023). Robust Word Vectors: Context-Informed Embeddings for Noisy Texts. Journal of Mathematical Sciences. 273(4). 614–627.
5.
Nikolenko, Sergey, et al.. (2023). LAPCA: Language-Agnostic Pretraining with Cross-Lingual Alignment. 2098–2102.
6.
Malykh, Valentin, et al.. (2023). One-Stage Classifiers Based on U-Net and Autoencoder with Attention for Recognition of Neoplasms from Single-Channel Monochrome Computed Tomography Images. Pattern Recognition and Image Analysis. 33(2). 132–138. 3 indexed citations
7.
Malykh, Valentin, et al.. (2022). Template-based Approach to Zero-shot Intent Recognition. 15–28. 2 indexed citations
8.
Malykh, Valentin & Andrey Filchenkov. (2022). Artificial Intelligence and Natural Language. Communications in computer and information science. 1 indexed citations
9.
Malykh, Valentin, et al.. (2022). Ask Me Anything in Your Native Language. Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 5 indexed citations
10.
Tutubalina, Elena, et al.. (2021). RuSimpleSentEval-2021 Shared Task: Evaluating Sentence Simplification for Russian. 607–617. 7 indexed citations
11.
Malykh, Valentin, et al.. (2021). Russian SuperGLUE 1.1: Revising the Lessons not Learned by Russian NLP-models. 235–245. 1 indexed citations
12.
Malykh, Valentin, et al.. (2021). Multiple Teacher Distillation for Robust and Greener Models. 601–610. 4 indexed citations
13.
Ojha, Atul Kr., et al.. (2020). Findings of the LoResMT 2020 Shared Task on Zero-Shot for Low-Resource languages. ARAN (University of Galway Research Repository) (Ollscoil na Gaillimhe – University of Galway). 33–37. 9 indexed citations
14.
Malykh, Valentin, et al.. (2020). Humans Keep It One Hundred: an Overview of AI Journey. Language Resources and Evaluation. 2276–2284. 1 indexed citations
15.
Malykh, Valentin, et al.. (2020). SUMMARY CONSTRUCTION STRATEGIES FOR HEADLINE GENERATION IN THE RUSSIAN. 19. 570–578. 1 indexed citations
16.
Tutubalina, Elena, et al.. (2019). AspeRa: Aspect-Based Rating Prediction Based on User Reviews. Meeting of the Association for Computational Linguistics. 11–13. 1 indexed citations
17.
Tutubalina, Elena, Zulfat Miftahutdinov, Sergey Nikolenko, & Valentin Malykh. (2018). Medical concept normalization in social media posts with recurrent neural networks. Journal of Biomedical Informatics. 84. 93–102. 62 indexed citations
18.
Burtsev, Mikhail, А. В. Селиверстов, М. В. Архипов, et al.. (2018). DeepPavlov: Open-Source Library for Dialogue Systems. 122–127. 69 indexed citations
19.
Malykh, Valentin. (2017). Generalizable Architecture for Robust Word Vectors Tested by Noisy Paraphrases.. 111–121. 2 indexed citations
20.
Tutubalina, Elena, et al.. (2015). Sentiment classification of reviews and twitter posts based on dictionaries.. 18. 138–162. 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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