Tatiana Likhomanenko

685 total citations
11 papers, 168 citations indexed

About

Tatiana Likhomanenko is a scholar working on Artificial Intelligence, Signal Processing and Nuclear and High Energy Physics. According to data from OpenAlex, Tatiana Likhomanenko has authored 11 papers receiving a total of 168 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 5 papers in Signal Processing and 3 papers in Nuclear and High Energy Physics. Recurrent topics in Tatiana Likhomanenko's work include Speech Recognition and Synthesis (8 papers), Speech and Audio Processing (5 papers) and Music and Audio Processing (4 papers). Tatiana Likhomanenko is often cited by papers focused on Speech Recognition and Synthesis (8 papers), Speech and Audio Processing (5 papers) and Music and Audio Processing (4 papers). Tatiana Likhomanenko collaborates with scholars based in United States, Israel and Russia. Tatiana Likhomanenko's co-authors include Ronan Collobert, Gabriel Synnaeve, Qiantong Xu, Awni Hannun, Jacob Kahn, Paden Tomasello, Michael Auli, Alexei Baevski, Alexis Conneau and Loren Lugosch and has published in prestigious journals such as Journal of Physics Conference Series and ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

In The Last Decade

Tatiana Likhomanenko

10 papers receiving 157 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Tatiana Likhomanenko United States	4	151	78	24	12	6	11	168
Paden Tomasello France	5	140 0.9×	49 0.6×	22 0.9×	11 0.9×	5 0.8×	10	153
Julián Salazar United States	5	158 1.0×	96 1.2×	25 1.0×	9 0.8×	4 0.7×	7	186
Yichong Leng China	5	120 0.8×	71 0.9×	26 1.1×	9 0.8×	4 0.7×	10	152
Lasse Borgholt Denmark	5	173 1.1×	94 1.2×	16 0.7×	21 1.8×	11 1.8×	7	228
Jakob D. Havtorn Denmark	5	170 1.1×	94 1.2×	18 0.8×	21 1.8×	11 1.8×	7	228
Srikanth Ronanki United States	7	115 0.8×	80 1.0×	11 0.5×	16 1.3×	5 0.8×	26	142
Shubham Toshniwal United States	7	216 1.4×	88 1.1×	13 0.5×	11 0.9×	6 1.0×	14	239
Alexander Gutkin United States	10	217 1.4×	130 1.7×	33 1.4×	21 1.8×	5 0.8×	31	249
Adrian Łańcucki Poland	8	215 1.4×	123 1.6×	27 1.1×	12 1.0×	3 0.5×	14	264
Julian Chan United States	8	204 1.4×	121 1.6×	15 0.6×	17 1.4×	3 0.5×	11	235

Countries citing papers authored by Tatiana Likhomanenko

Since Specialization

Citations

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

Fields of papers citing papers by Tatiana Likhomanenko

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tatiana Likhomanenko

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

All Works

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11 of 11 papers shown

Higuchi, Takuya, Jee-weon Jung, Tatiana Likhomanenko, et al.. (2024). Can you Remove the Downstream Model for Speaker Recognition with Self-Supervised Speech Features?. 4648–4652. 2 indexed citations

Collobert, Ronan, et al.. (2023). More Speaking or More Speakers?. 34. 1–5. 1 indexed citations

Likhomanenko, Tatiana, et al.. (2023). Importance of Smoothness Induced by Optimizers in Fl4Asr: Towards Understanding Federated Learning for End-To-End ASR. 1–8.

Gheini, Mozhdeh, Tatiana Likhomanenko, Matthias Sperber, & Hendra Setiawan. (2023). Joint Speech Transcription and Translation: Pseudo-Labeling with Out-of-Distribution Data. 7637–7650. 1 indexed citations

Pratap, Vineel, Qiantong Xu, Tatiana Likhomanenko, Gabriel Synnaeve, & Ronan Collobert. (2022). Word Order does not Matter for Speech Recognition. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7202–7206. 3 indexed citations

Lugosch, Loren, Tatiana Likhomanenko, Gabriel Synnaeve, & Ronan Collobert. (2022). Pseudo-Labeling for Massively Multilingual Speech Recognition. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7687–7691. 10 indexed citations

Xu, Qiantong, Alexei Baevski, Tatiana Likhomanenko, et al.. (2021). Self-Training and Pre-Training are Complementary for Speech Recognition. 3030–3034. 83 indexed citations

Xu, Qiantong, Tatiana Likhomanenko, Jacob Kahn, et al.. (2020). Iterative Pseudo-Labeling for Speech Recognition. 1006–1010. 63 indexed citations

Деркач, Д., M. Hushchyn, Tatiana Likhomanenko, et al.. (2018). Machine-Learning-based global particle-identification algorithms at the LHCb experiment. Journal of Physics Conference Series. 1085. 42038–42038. 3 indexed citations

10.

Likhomanenko, Tatiana, et al.. (2016). Inclusive Flavour Tagging Algorithm. Journal of Physics Conference Series. 762. 12045–12045. 1 indexed citations

11.

Likhomanenko, Tatiana, et al.. (2015). Reproducible Experiment Platform. Journal of Physics Conference Series. 664(5). 52022–52022. 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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