Valentin Malykh
Impact in
- Artificial Intelligence top 10%
- Topic Modeling
- Natural Language Processing Techniques
- Advanced Text Analysis Techniques
- Sentiment Analysis and Opinion Mining
- Text Readability and Simplification
- Speech and dialogue systems
Papers in
-
- Topic Modeling 24
- Natural Language Processing Techniques 20
- Advanced Text Analysis Techniques 10
- Sentiment Analysis and Opinion Mining 4
- Speech and dialogue systems 3
- Text Readability and Simplification 3
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- Multimodal Machine Learning Applications 4
- Co-authors
- Elena Tutubalina (7 shared papers)Sergey Nikolenko (6 shared papers)Zulfat Miftahutdinov (2 shared papers)Taras Khakhulin (4 shared papers)Varvara Logacheva (3 shared papers)Ilseyar Alimova (2 shared papers)Mikhail Burtsev (1 shared paper)Yuri Kuratov (1 shared paper)
- Journals
- Natural Language Engineering (1 paper)Bioinformatics (1 paper)Language Resources and Evaluation (1 paper)Journal of Intelligent & Fuzzy Systems (1 paper)Journal of Biomedical Informatics (1 paper)
- Partner nations
- RussiaSwedenUnited States
In The Last Decade
Valentin Malykh
29 papers receiving 222 citations
Peers
Comparison fields: 5 of 62
- Artificial Intelligence 200
- Health Informatics 4
- General Social Sciences 7
- Toxicology 6
- Health Information Management 5
Countries citing papers authored by Valentin Malykh
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
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-authors
The 21 scholars most cited alongside Valentin Malykh, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 69 | |
| 2 | 2018 | 62 | |
| 3 | 2020 | 26 | |
| 4 | 2020 | 9 | |
| 5 | 2021 | 7 | |
| 6 | 2018 | 7 | |
| 7 | 2022 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 2022 | 5 | |
| 10 | 2020 | 5 | |
| 11 | 2019 | 5 | |
| 12 | 2018 | 5 | |
| 13 | 2021 | 4 | |
| 14 | 2022 | 4 | |
| 15 | Reproducing Russian NER Baseline Quality without Additional Data. | 2016 | 4 |
| 16 | 2023 | 3 | |
| 17 | 2020 | 3 | |
| 18 | Generalizable Architecture for Robust Word Vectors Tested by Noisy Paraphrases. | 2017 | 2 |
| 19 | 2022 | 2 | |
| 20 | 2024 | 2 |
About Valentin Malykh
Valentin Malykh is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems, Radiology, Nuclear Medicine and Imaging and Media Technology, having authored 39 papers that have together received 249 indexed citations. Recurring topics across this work include Topic Modeling (24 papers), Natural Language Processing Techniques (20 papers), Advanced Text Analysis Techniques (10 papers), Multimodal Machine Learning Applications (4 papers), Sentiment Analysis and Opinion Mining (4 papers), Speech and dialogue systems (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers) and Text Readability and Simplification (3 papers). The work is most often cited by research in Artificial Intelligence (200 citations), Health Informatics (4 citations), General Social Sciences (7 citations), Toxicology (6 citations) and Health Information Management (5 citations). Valentin Malykh has collaborated with scholars based in Russia, Sweden and United States. Frequent co-authors include Elena Tutubalina, Sergey Nikolenko, Zulfat Miftahutdinov, Taras Khakhulin, Varvara Logacheva, Ilseyar Alimova, Mikhail Burtsev, Yuri Kuratov, Alexey Sorokin and А. В. Селиверстов. Their work appears in journals such as Natural Language Engineering, Bioinformatics, Language Resources and Evaluation, Journal of Intelligent & Fuzzy Systems and Journal of Biomedical Informatics.
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.