Ilya Oparin

554 total citations
14 papers, 302 citations indexed

About

Ilya Oparin is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Ilya Oparin has authored 14 papers receiving a total of 302 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Artificial Intelligence, 3 papers in Signal Processing and 2 papers in Computer Vision and Pattern Recognition. Recurrent topics in Ilya Oparin's work include Speech Recognition and Synthesis (10 papers), Natural Language Processing Techniques (10 papers) and Topic Modeling (6 papers). Ilya Oparin is often cited by papers focused on Speech Recognition and Synthesis (10 papers), Natural Language Processing Techniques (10 papers) and Topic Modeling (6 papers). Ilya Oparin collaborates with scholars based in France, Czechia and Germany. Ilya Oparin's co-authors include François Yvon, Alexandre Allauzen, Hai-Son Le, Jean‐Luc Gauvain, J.-L. Gauvain, Martin Sundermeyer, Hermann Ney, Ralf Schlüter, Olivier Galibert and Juliette Kahn and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, Interspeech 2022 and SPIRE - Sciences Po Institutional REpository.

In The Last Decade

Ilya Oparin

14 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ilya Oparin France	8	263	56	51	12	6	14	302
Matthias Paulik United States	11	335 1.3×	51 0.9×	38 0.7×	7 0.6×	4 0.7×	30	348
Albert Sanchís Spain	11	293 1.1×	52 0.9×	67 1.3×	10 0.8×	6 1.0×	27	327
Jason Riesa United States	9	231 0.9×	44 0.8×	29 0.6×	11 0.9×	3 0.5×	14	250
Feilong Bao China	11	219 0.8×	56 1.0×	98 1.9×	10 0.8×	6 1.0×	50	274
Ziang Xie United States	4	175 0.7×	61 1.1×	44 0.9×	12 1.0×	4 0.7×	5	221
Tomoyosi Akiba Japan	8	230 0.9×	24 0.4×	67 1.3×	27 2.3×	6 1.0×	55	248
Zhenxin Fu China	6	284 1.1×	96 1.7×	17 0.3×	18 1.5×	3 0.5×	14	321
Sebastian Stüker Germany	8	235 0.9×	57 1.0×	49 1.0×	3 0.3×	5 0.8×	16	248
Xutai Ma United States	10	340 1.3×	46 0.8×	45 0.9×	8 0.7×	2 0.3×	16	364
Soroush Mehri United States	5	220 0.8×	62 1.1×	106 2.1×	6 0.5×	8 1.3×	5	245

Countries citing papers authored by Ilya Oparin

Since Specialization

Citations

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

Fields of papers citing papers by Ilya Oparin

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ilya Oparin

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

All Works

Sort: Min cites: Since: Top N: Style:

14 of 14 papers shown

1.

Gysel, C, et al.. (2022). Space-Efficient Representation of Entity-centric Query Language Models. Interspeech 2022. 4 indexed citations

2.

Galibert, Olivier, Juliette Kahn, & Ilya Oparin. (2014). The zonemap metric for page segmentation and area classification in scanned documents. 2594–2598. 7 indexed citations

3.

Oparin, Ilya, Juliette Kahn, & Olivier Galibert. (2014). First maurdor 2013 evaluation campaign in scanned document image processing. 5090–5094. 7 indexed citations

4.

Sundermeyer, Martin, et al.. (2013). Comparison of feedforward and recurrent neural network language models. 8430–8434. 80 indexed citations

5.

Roy, Anindya, et al.. (2013). Some issues affecting the transcription of Hungarian broadcast audio. SPIRE - Sciences Po Institutional REpository. 3102–3106. 2 indexed citations

6.

Le, Hai-Son, Ilya Oparin, Alexandre Allauzen, J.-L. Gauvain, & François Yvon. (2012). Structured Output Layer Neural Network Language Models for Speech Recognition. IEEE Transactions on Audio Speech and Language Processing. 21(1). 197–206. 51 indexed citations

7.

Oparin, Ilya, Martin Sundermeyer, Hermann Ney, & Jean‐Luc Gauvain. (2012). Performance analysis of Neural Networks in combination with n-gram language models. 5005–5008. 21 indexed citations

8.

Lamel, Lori, et al.. (2011). Improved models for Mandarin speech-to-text transcription. 4660–4663. 16 indexed citations

9.

Le, Hai-Son, Ilya Oparin, Alexandre Allauzen, Jean‐Luc Gauvain, & François Yvon. (2011). Structured Output Layer neural network language model. 5524–5527. 81 indexed citations

10.

Oparin, Ilya, Lori Lamel, & Jean‐Luc Gauvain. (2010). Improving Mandarin Chinese STT system with Random Forests language models. 242–245. 1 indexed citations

11.

Oparin, Ilya, Ondřej Glembek, Lukáš Burget, & Jaň Černocký. (2008). Morphological random forests for language modeling of inflectional languages. 189–192. 11 indexed citations

12.

Oparin, Ilya, et al.. (2008). Building Acoustic Models for a Large Vocabulary Continuous Speech Recognizer for Russian. 2 indexed citations

13.

Černocký, Jaň, Igor Szöke, Martin Karafiát, et al.. (2007). Search in Speech for Public Security and Defense. 1–7. 16 indexed citations

14.

Černocký, Jaň, Lukáš Burget, Petr Schwarz, et al.. (2007). Search in speech, language identification and speaker recognition in Speech@FIT. 1–6. 3 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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