Pavel Golik

880 total citations
19 papers, 545 citations indexed

About

Pavel Golik is a scholar working on Artificial Intelligence, Signal Processing and Oceanography. According to data from OpenAlex, Pavel Golik has authored 19 papers receiving a total of 545 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 15 papers in Signal Processing and 1 paper in Oceanography. Recurrent topics in Pavel Golik's work include Speech Recognition and Synthesis (17 papers), Music and Audio Processing (12 papers) and Speech and Audio Processing (11 papers). Pavel Golik is often cited by papers focused on Speech Recognition and Synthesis (17 papers), Music and Audio Processing (12 papers) and Speech and Audio Processing (11 papers). Pavel Golik collaborates with scholars based in Germany, France and United States. Pavel Golik's co-authors include Hermann Ney, Ralf Schlüter, Zoltán Tüske, Patrick Doetsch, Simon Wiesler, Alexander Richard, Xiaodong Cui, Friedel Drepper, Abhinav Sethy and Brian Kingsbury and has published in prestigious journals such as Computer Speech & Language and Apollo (University of Cambridge).

In The Last Decade

Pavel Golik

19 papers receiving 491 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Pavel Golik Germany 11 399 296 81 25 24 19 545
Mengxiao Bi China 7 276 0.7× 255 0.9× 63 0.8× 28 1.1× 20 0.8× 13 397
Zoltán Tüske Germany 18 740 1.9× 524 1.8× 83 1.0× 22 0.9× 25 1.0× 47 871
Pravin Yannawar India 11 206 0.5× 324 1.1× 179 2.2× 19 0.8× 13 0.5× 35 575
Yedid Hoshen Israel 10 292 0.7× 160 0.5× 92 1.1× 12 0.5× 15 0.6× 25 429
Shuang Xu China 9 593 1.5× 385 1.3× 232 2.9× 30 1.2× 27 1.1× 16 893
Yuchen Fan China 9 574 1.4× 430 1.5× 106 1.3× 30 1.2× 10 0.4× 15 691
Weiping Tu China 10 199 0.5× 117 0.4× 138 1.7× 15 0.6× 32 1.3× 62 393
K. K. Chin Japan 10 423 1.1× 426 1.4× 34 0.4× 24 1.0× 35 1.5× 26 569
Ivan Magrin‐Chagnolleau France 12 639 1.6× 655 2.2× 132 1.6× 16 0.6× 17 0.7× 30 853
V. Kamakshi Prasad India 10 163 0.4× 111 0.4× 98 1.2× 30 1.2× 13 0.5× 56 315

Countries citing papers authored by Pavel Golik

Since Specialization
Citations

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

Fields of papers citing papers by Pavel Golik

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pavel Golik

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

All Works

19 of 19 papers shown
1.
Esch, Daan van, et al.. (2021). How Might We Create Better Benchmarks for Speech Recognition?. 8 indexed citations
2.
Irie, Kazuki, et al.. (2020). Domain Robust, Fast, and Compact Neural Language Models. 27. 7954–7958. 2 indexed citations
3.
4.
Golik, Pavel, Adrià Giménez, Patrick Doetsch, et al.. (2018). MLLP-UPV and RWTH Aachen Spanish ASR Systems for the IberSpeech-RTVE 2018 Speech-to-Text Transcription Challenge. 257–261. 5 indexed citations
5.
Irie, Kazuki, Pavel Golik, Ralf Schlüter, & Hermann Ney. (2017). Investigations on byte-level convolutional neural networks for language modeling in low resource speech recognition. 5740–5744. 4 indexed citations
6.
Menne, Tobias, Jahn Heymann, Anastasios Alexandridis, et al.. (2016). The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation. Computer Speech & Language. 21 indexed citations
7.
Heymann, Jahn, Reinhold Haeb‐Umbach, Pavel Golik, & Ralf Schlüter. (2015). Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions. 18. 5053–5057. 3 indexed citations
8.
Golik, Pavel, Zoltán Tüske, Ralf Schlüter, & Hermann Ney. (2015). Convolutional neural networks for acoustic modeling of raw time signal in LVCSR. 68 indexed citations
9.
Wiesler, Simon, Pavel Golik, Ralf Schlüter, & Hermann Ney. (2015). Investigations on sequence training of neural networks. 4565–4569. 5 indexed citations
10.
Golik, Pavel, Zoltán Tüske, Ralf Schlüter, & Hermann Ney. (2015). Multilingual features based keyword search for very low-resource languages. 1260–1264. 10 indexed citations
11.
Cui, Jia, Brian Kingsbury, Bhuvana Ramabhadran, et al.. (2015). Multilingual representations for low resource speech recognition and keyword search. Apollo (University of Cambridge). 58 indexed citations
12.
Tüske, Zoltán, Pavel Golik, Ralf Schlüter, & Hermann Ney. (2015). Speaker adaptive joint training of Gaussian mixture models and bottleneck features. 596–603. 15 indexed citations
13.
Tüske, Zoltán, Pavel Golik, Ralf Schlüter, & Hermann Ney. (2014). Acoustic modeling with deep neural networks using raw time signal for LVCSR. 103 indexed citations
14.
Wiesler, Simon, Alexander Richard, Pavel Golik, Ralf Schlüter, & Hermann Ney. (2014). RASR/NN: The RWTH neural network toolkit for speech recognition. 3281–3285. 29 indexed citations
15.
16.
Golik, Pavel, Patrick Doetsch, & Hermann Ney. (2013). Cross-entropy vs. squared error training: a theoretical and experimental comparison. 1756–1760. 153 indexed citations
17.
Golik, Pavel, Zoltán Tüske, Ralf Schlüter, & Hermann Ney. (2013). Development of the RWTH transcription system for slovenian. 3107–3111. 2 indexed citations
18.
Golik, Pavel, Boulos Harb, Ananya Misra, et al.. (2012). Mobile music modeling, analysis and recognition. 2445. 2353–2356. 4 indexed citations
19.
Tüske, Zoltán, Pavel Golik, Ralf Schlüter, & Friedel Drepper. (2011). Non-stationary feature extraction for automatic speech recognition. 88. 5204–5207. 11 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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