Natalia Tomashenko
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Physiology
- Computer Vision and Pattern Recognition
- Experimental and Cognitive Psychology
- Co-authors
- Yannick EstèveJunichi YamagishiXin WangJean-François BonastreYuri KhokhlovMarc TommasiAndreas NautschEmmanuel Vincent
- Topics
- Speech Recognition and Synthesis (28 papers)Speech and Audio Processing (18 papers)Natural Language Processing Techniques (12 papers)
- Journals
- SHILAP Revista de lepidopterologíaComputer Speech & LanguageIEEE/ACM Transactions on Audio Speech and Language Processing
In The Last Decade
Natalia Tomashenko
32 papers receiving 305 citations
Peers
Comparison fields: 5 of 30
- Artificial Intelligence 283
- Signal Processing 176
- Physiology 24
- Computer Vision and Pattern Recognition 17
- Experimental and Cognitive Psychology 15
Countries citing papers authored by Natalia Tomashenko
This map shows the geographic impact of Natalia Tomashenko'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 Natalia Tomashenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Natalia Tomashenko more than expected).
Fields of papers citing papers by Natalia Tomashenko
This network shows the impact of papers produced by Natalia Tomashenko. 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 Natalia Tomashenko. The network helps show where Natalia Tomashenko may publish in the future.
Co-authorship network of co-authors of Natalia Tomashenko
This figure shows the co-authorship network connecting the top 25 collaborators of Natalia Tomashenko. A scholar is included among the top collaborators of Natalia Tomashenko 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 Natalia Tomashenko. Natalia Tomashenko is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 10 | |
| 6 | 18 | |
| 7 | 6 | |
| 8 | 8 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | 34 | |
| 12 | 15 | |
| 13 | 1 | |
| 14 | 22 | |
| 15 | 7 | |
| 16 | 18 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 5 |
About Natalia Tomashenko
Natalia Tomashenko is a scholar working on Signal Processing, Artificial Intelligence and Ocean Engineering, having authored 34 papers that have together received 324 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (28 papers), Speech and Audio Processing (18 papers) and Natural Language Processing Techniques (12 papers). The work is most often cited by research in Signal Processing (176 citations), Artificial Intelligence (283 citations) and Experimental and Cognitive Psychology (15 citations). Natalia Tomashenko has collaborated with scholars based in France, Japan and Singapore. Frequent co-authors include Yannick Estève, Junichi Yamagishi, Xin Wang, Jean-François Bonastre, Yuri Khokhlov, Marc Tommasi, Andreas Nautsch, Emmanuel Vincent, Erica Cooper and Brij Mohan Lal Srivastava. Their work appears in journals such as SHILAP Revista de lepidopterología, Computer Speech & Language and IEEE/ACM Transactions on Audio Speech and Language Processing.
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.