Corneliu Burileanu

735 total citations
92 papers, 437 citations indexed

About

Corneliu Burileanu is a scholar working on Artificial Intelligence, Signal Processing and Electrical and Electronic Engineering. According to data from OpenAlex, Corneliu Burileanu has authored 92 papers receiving a total of 437 indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Artificial Intelligence, 38 papers in Signal Processing and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Corneliu Burileanu's work include Speech Recognition and Synthesis (40 papers), Speech and Audio Processing (33 papers) and Music and Audio Processing (18 papers). Corneliu Burileanu is often cited by papers focused on Speech Recognition and Synthesis (40 papers), Speech and Audio Processing (33 papers) and Music and Audio Processing (18 papers). Corneliu Burileanu collaborates with scholars based in Romania, France and Germany. Corneliu Burileanu's co-authors include Horia Cucu, Andi Buzo, Ana Neacşu, Dorel Homentcovschi, Laurent Besacier, Georg Pelz, Jean‐Christophe Pesquet, Luminița Mărmureanu, Jean Caelen and Bogdan Ionescu and has published in prestigious journals such as Proceedings of the IEEE, IEEE Access and IEEE Transactions on Electron Devices.

In The Last Decade

Corneliu Burileanu

84 papers receiving 399 citations

Peers

Corneliu Burileanu
Horia Cucu Romania
Nasir Saleem Pakistan
Kaustubh Kalgaonkar United States
Xiaobo Pi United States
Chanwoo Kim United States
A. Milton India
J.N. Gowdy United States
Horia Cucu Romania
Corneliu Burileanu
Citations per year, relative to Corneliu Burileanu Corneliu Burileanu (= 1×) peers Horia Cucu

Countries citing papers authored by Corneliu Burileanu

Since Specialization
Citations

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

Fields of papers citing papers by Corneliu Burileanu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Corneliu Burileanu

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

All Works

20 of 20 papers shown
1.
Vulpe, Alexandru, et al.. (2025). A Comparative Study of Intrusion Events in Different SIEM Systems. 65–70.
2.
Pesquet, Jean‐Christophe, et al.. (2024). ABBA Neural Networks: Coping with Positivity, Expressivity, and Robustness. SIAM Journal on Mathematics of Data Science. 6(3). 649–678.
3.
Neacşu, Ana, et al.. (2022). Automatic Gesture Recognition Framework Based on Forearm EMG Activity. 284–288. 2 indexed citations
4.
Buzo, Andi, et al.. (2021). Modeling the Dependency of Analog Circuit Performance Parameters on Manufacturing Process Variations With Applications in Sensitivity Analysis and Yield Prediction. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. 41(1). 129–142. 5 indexed citations
5.
Cucu, Horia, et al.. (2020). RSC: A Romanian Read Speech Corpus for Automatic Speech Recognition. Language Resources and Evaluation. 6606–6612. 12 indexed citations
6.
Neacşu, Ana, et al.. (2020). Signal Denoising Using a New Class of Robust Neural Networks. HAL (Le Centre pour la Communication Scientifique Directe). 1492–1496. 2 indexed citations
7.
Cucu, Horia, et al.. (2019). Progress on automatic annotation of speech corpora using complementary ASR systems. 571–574. 4 indexed citations
8.
Cucu, Horia, et al.. (2019). Automated Baby Cry Classification on a Hospital-acquired Baby Cry Database. 343–346. 8 indexed citations
11.
Cucu, Horia, et al.. (2017). SpeeD's DNN approach to Romanian speech recognition. 10 indexed citations
12.
Buzo, Andi, et al.. (2015). SpeeD @ MediaEval 2015: Multilingual Phone Recognition Approach to Query By Example STD. MediaEval. 4 indexed citations
13.
Buzo, Andi, Horia Cucu, & Corneliu Burileanu. (2014). SpeeD @ MediaEval 2014: Spoken Term Detection with Robust Multilingual Phone Recognition. MediaEval. 9 indexed citations
15.
Buzo, Andi, et al.. (2013). SpeeD @ MediaEval 2013: A Phone Recognition Approach to Spoken Term Detection. MediaEval. 5 indexed citations
16.
Buzo, Andi, et al.. (2013). Fast accurate time delay estimation based on enhanced accumulated Cross-power Spectrum Phase. European Signal Processing Conference. 1–5. 5 indexed citations
17.
Cucu, Horia, et al.. (2012). ASR for low-resourced languages: Building a phonetically balanced Romanian speech corpus. European Signal Processing Conference. 2060–2064. 4 indexed citations
18.
Buzo, Andi, et al.. (2012). Statistical phonetic analysis of the Romanian language for speech recognition and synthesis tasks. 219–222. 2 indexed citations
19.
Buzo, Andi, et al.. (2012). ARF @ MediaEval 2012: A Romanian ASR-based Approach to Spoken Term Detection.. MediaEval. 4 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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