Vitaliy Liptchinsky

1.6k citations
5 papers · 380 indexed · 1 hit paper · h-index 5
Topics
Natural Language Processing Techniques (3 papers)Speech Recognition and Synthesis (2 papers)Topic Modeling (1 paper)
Partner nations
AustriaIsraelFrance

In The Last Decade

Vitaliy Liptchinsky

5 papers receiving 359 citations

Hit Papers

Libri-Light: A Benchmark for ASR with Limited or No Super...2020202620222024202050100150200250

Peers

Vitaliy Liptchinsky
Comparison fields: 5 of 39
  • Artificial Intelligence 347
  • Signal Processing 191
  • Computer Vision and Pattern Recognition 34
  • Experimental and Cognitive Psychology 19
  • Information Systems 12
Replace Jacob Kahn with:
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Siddharth Dalmia United States
Xu Xiang China
Aaron Lawson United States
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Vitaliy Liptchinsky relative to Jacob Kahn Israel Jacob Kahn's profile →
Citations per field
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Citations per year

Countries citing papers authored by Vitaliy Liptchinsky

Since Specialization
Citations

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

Fields of papers citing papers by Vitaliy Liptchinsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vitaliy Liptchinsky

This figure shows the co-authorship network connecting the top 25 collaborators of Vitaliy Liptchinsky. A scholar is included among the top collaborators of Vitaliy Liptchinsky 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 Vitaliy Liptchinsky. Vitaliy Liptchinsky is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1
Beyond English-Centric Multilingual Machine Translation
11
2
Libri-Light: A Benchmark for ASR with Limited or No Supervisionbreakdown →
278
3 78
4 9
5 4

About Vitaliy Liptchinsky

Vitaliy Liptchinsky is a scholar working on Signal Processing, Artificial Intelligence and Management Information Systems, having authored 5 papers that have together received 380 indexed citations. Recurring topics across this work include Natural Language Processing Techniques (3 papers), Speech Recognition and Synthesis (2 papers) and Topic Modeling (1 paper). The work is most often cited by research in Signal Processing (191 citations), Artificial Intelligence (347 citations) and Computer Vision and Pattern Recognition (34 citations). Vitaliy Liptchinsky has collaborated with scholars based in Austria, Israel and France. Frequent co-authors include Gabriel Synnaeve, Jacob Kahn, Ronan Collobert, Emmanuel Dupoux, Pierre-Emmanuel Mazaré, Qinmei Xu, Christian Fuegen, Eugene Kharitonov, T. Likhomanenko and Wenlong Zheng. Their work appears in journals such as Journal of Machine Learning Research, Information Systems and arXiv (Cornell University).

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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