Bram Cornelis

713 total citations
28 papers, 499 citations indexed

About

Bram Cornelis is a scholar working on Signal Processing, Computational Mechanics and Civil and Structural Engineering. According to data from OpenAlex, Bram Cornelis has authored 28 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Signal Processing, 12 papers in Computational Mechanics and 9 papers in Civil and Structural Engineering. Recurrent topics in Bram Cornelis's work include Speech and Audio Processing (12 papers), Advanced Adaptive Filtering Techniques (12 papers) and Structural Health Monitoring Techniques (9 papers). Bram Cornelis is often cited by papers focused on Speech and Audio Processing (12 papers), Advanced Adaptive Filtering Techniques (12 papers) and Structural Health Monitoring Techniques (9 papers). Bram Cornelis collaborates with scholars based in Belgium, Italy and United States. Bram Cornelis's co-authors include Jan Wouters, Marc Moonen, Marco Troncossi, Simon Doclo, Wim Desmet, Tommaso Tamarozzi, Bart Peeters, Konstantinos Gryllias, Karl Janssens and Herman Van der Auweraer and has published in prestigious journals such as The Journal of the Acoustical Society of America, Mechanical Systems and Signal Processing and Signal Processing.

In The Last Decade

Bram Cornelis

25 papers receiving 468 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bram Cornelis Belgium 11 246 194 142 128 93 28 499
Dick Petersen Australia 9 129 0.5× 185 1.0× 65 0.5× 111 0.9× 687 7.4× 19 977
Jacek Piskorowski Poland 14 158 0.6× 154 0.8× 30 0.2× 17 0.1× 158 1.7× 60 507
Youn-sik Park South Korea 13 78 0.3× 32 0.2× 38 0.3× 271 2.1× 160 1.7× 66 650
Timothy Langlois United States 10 77 0.3× 182 0.9× 38 0.3× 22 0.2× 46 0.5× 17 450
Leopoldo Pisanelli Rodrigues de Oliveira Brazil 15 59 0.2× 152 0.8× 28 0.2× 134 1.0× 108 1.2× 63 550
Józef Kotus Poland 11 234 1.0× 25 0.1× 53 0.4× 52 0.4× 33 0.4× 63 487
Stephen So Australia 12 254 1.0× 137 0.7× 44 0.3× 99 0.8× 31 0.3× 46 430
Jinwei Sun China 15 274 1.1× 303 1.6× 41 0.3× 31 0.2× 14 0.2× 54 544
S.J. Elliot United Kingdom 8 209 0.8× 326 1.7× 54 0.4× 57 0.4× 16 0.2× 9 452
Xincheng Cao China 11 34 0.1× 21 0.1× 111 0.8× 53 0.4× 265 2.8× 11 599

Countries citing papers authored by Bram Cornelis

Since Specialization
Citations

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

Fields of papers citing papers by Bram Cornelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bram Cornelis

This figure shows the co-authorship network connecting the top 25 collaborators of Bram Cornelis. A scholar is included among the top collaborators of Bram Cornelis 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 Bram Cornelis. Bram Cornelis 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.
Lorenzo, Emilio Di, et al.. (2024). Machine Learning approaches to damage detection in composite structures combining experimental and simulation domains. Mechanical Systems and Signal Processing. 215. 111412–111412. 16 indexed citations
2.
3.
Cornelis, Bram, et al.. (2023). Variable Projection Support Vector Machines and Some Applications Using Adaptive Hermite Expansions. International Journal of Neural Systems. 34(1). 2450004–2450004. 7 indexed citations
4.
Tamarozzi, Tommaso, et al.. (2022). Executable Digital Twin - Prevent the Early Failure of a Truck Anchorage Using Smart Virtual Sensors. SAE International Journal of Advances and Current Practices in Mobility. 4(4). 1309–1317. 3 indexed citations
5.
Meert, Wannes, et al.. (2020). Similarity-based anomaly score for fleet-based condition monitoring. Annual Conference of the PHM Society. 12(1). 9–9. 4 indexed citations
6.
Tamarozzi, Tommaso, et al.. (2019). Multibody model based estimation of multiple loads and strain field on a vehicle suspension system. Mechanical Systems and Signal Processing. 123. 1–25. 56 indexed citations
7.
Cornelis, Bram, et al.. (2019). On the Use of Kurtosis Control Methods in Shaker Testing for Fatigue Damage. Journal of Testing and Evaluation. 48(1). 538–556. 8 indexed citations
8.
Chiariotti, Paolo, Bram Cornelis, Mahmoud El‐Kafafy, et al.. (2018). Experimental acoustic modal analysis of an automotive cabin: challenges and solutions. Journal of Physics Conference Series. 1075. 12026–12026. 1 indexed citations
9.
Cornelis, Bram, et al.. (2017). Smart Localization of Microphones inside an Automotive Cabin. International Journal of Automotive Engineering. 8(2). 63–70. 1 indexed citations
10.
Cornelis, Bram, et al.. (2017). Synthesis of Sine-on-Random vibration profiles for accelerated life tests based on fatigue damage spectrum equivalence. Mechanical Systems and Signal Processing. 103. 340–351. 41 indexed citations
11.
Cornelis, Bram, et al.. (2016). Fatigue Damage Spectrum calculation in a Mission Synthesis procedure for Sine-on-Random excitations. Journal of Physics Conference Series. 744. 12089–12089. 9 indexed citations
12.
Cornelis, Bram, Marc Moonen, & Jan Wouters. (2013). Reduced-bandwidth Multi-channel Wiener Filter based binaural noise reduction and localization cue preservation in binaural hearing aids. Signal Processing. 99. 1–16. 11 indexed citations
13.
Bertrand, Alexander, et al.. (2012). MULTI-CHANNEL NOISE REDUCTION IN HEARING AIDS WITH WIRELESS ACCESS TO AN EXTERNAL REFERENCE SIGNAL. Lirias (KU Leuven). 1–4. 4 indexed citations
14.
Cornelis, Bram, Marc Moonen, & Jan Wouters. (2012). Speech intelligibility improvements with hearing aids using bilateral and binaural adaptive multichannel Wiener filtering based noise reduction. The Journal of the Acoustical Society of America. 131(6). 4743–4755. 28 indexed citations
15.
Cornelis, Bram, Marc Moonen, & Jan Wouters. (2011). A VAD-robust Multichannel Wiener Filter algorithm for noise reduction in hearing aids. 281–284. 7 indexed citations
16.
Cornelis, Bram, Marc Moonen, & Jan Wouters. (2010). Binaural cue preservation in binaural hearing aids with reduced-bandwidth multichannel Wiener filter based noise reduction. 2 indexed citations
17.
Cornelis, Bram, Marc Moonen, & Jan Wouters. (2010). Performance Analysis of Multichannel Wiener Filter-Based Noise Reduction in Hearing Aids Under Second Order Statistics Estimation Errors. IEEE Transactions on Audio Speech and Language Processing. 19(5). 1368–1381. 73 indexed citations
18.
Cornelis, Bram & Jan Wouters. (2010). A Qrd-Rls Based Frequency Domain Multichannel Wiener Filter Algorithm For Noise Reduction In Hearing Aids. INFM-OAR (INFN Catania). 6 indexed citations
19.
Cornelis, Bram, Marc Moonen, & Jan Wouters. (2009). Comparison of frequency domain noise reduction strategies based on multichannel Wiener filtering and spatial prediction. 129–132. 17 indexed citations
20.
Peeters, Bart, Bram Cornelis, Karl Janssens, & Herman Van der Auweraer. (2007). REMOVING DISTURBING HARMONICS IN OPERATIONAL MODAL ANALYSIS. 26 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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