B. Denby

10.2k total citations
66 papers, 1.0k citations indexed

About

B. Denby is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, B. Denby has authored 66 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Signal Processing, 24 papers in Artificial Intelligence and 15 papers in Computer Vision and Pattern Recognition. Recurrent topics in B. Denby's work include Speech and Audio Processing (22 papers), Music and Audio Processing (11 papers) and Particle physics theoretical and experimental studies (10 papers). B. Denby is often cited by papers focused on Speech and Audio Processing (22 papers), Music and Audio Processing (11 papers) and Particle physics theoretical and experimental studies (10 papers). B. Denby collaborates with scholars based in France, United States and China. B. Denby's co-authors include Thomas Hueber, Tanja Schultz, Kiyoshi Honda, James M. Gilbert, Jonathan S. Brumberg, Pierre Roussel, Gérard Dreyfus, Yacine Oussar, Kele Xu and Sylvie Le Hégarat‐Mascle and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Journal of the Acoustical Society of America and IEEE Access.

In The Last Decade

B. Denby

62 papers receiving 934 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
B. Denby France 15 445 418 183 132 129 66 1.0k
Jie Zhu China 16 199 0.4× 366 0.9× 99 0.5× 18 0.1× 47 0.4× 117 930
Minghui Dong Singapore 17 326 0.7× 490 1.2× 84 0.5× 15 0.1× 50 0.4× 79 907
Philippe Hamel France 16 247 0.6× 130 0.3× 204 1.1× 108 0.8× 35 0.3× 37 783
L.M. Hively United States 17 181 0.4× 139 0.3× 62 0.3× 336 2.5× 401 3.1× 59 1.3k
Laurent Albera France 24 1.0k 2.3× 131 0.3× 155 0.8× 9 0.1× 716 5.6× 74 1.8k
Bo Peng China 16 27 0.1× 76 0.2× 62 0.3× 162 1.2× 55 0.4× 105 1.0k
K. R. Subramanian Singapore 18 46 0.1× 559 1.3× 160 0.9× 26 0.2× 139 1.1× 89 1.1k
P.S. Lewis United States 15 730 1.6× 190 0.5× 191 1.0× 38 0.3× 1.1k 8.4× 55 2.0k
Azarakhsh Jalalvand Belgium 14 66 0.1× 388 0.9× 327 1.8× 75 0.6× 65 0.5× 47 786

Countries citing papers authored by B. Denby

Since Specialization
Citations

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

Fields of papers citing papers by B. Denby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of B. Denby

This figure shows the co-authorship network connecting the top 25 collaborators of B. Denby. A scholar is included among the top collaborators of B. Denby 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 B. Denby. B. Denby 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.
Denby, B., et al.. (2022). Statistical Approach to Estimating Audience from MAC-Randomized WiFi Probe Requests. Sensors. 22(22). 8679–8679. 4 indexed citations
2.
3.
Xu, Kele, Pierre Roussel, Tamás Gábor Csapó, & B. Denby. (2017). Convolutional neural network-based automatic classification of midsagittal tongue gestural targets using B-mode ultrasound images. The Journal of the Acoustical Society of America. 141(6). EL531–EL537. 25 indexed citations
4.
Denby, B., Shicheng Chen, Yifeng Zheng, et al.. (2017). Recent results in silent speech interfaces. The Journal of the Acoustical Society of America. 141(5_Supplement). 3646–3646. 4 indexed citations
5.
6.
Roussel, Pierre, et al.. (2015). Correcting non-line-of-sight path length estimation for ultra-wideband indoor localization. 1–6. 9 indexed citations
7.
Crevier‐Buchman, Lise, Samer Al Kork, Martine Adda‐Decker, et al.. (2015). Acoustic Data Analysis from Multi-Sensor Capture in Rare Singing: Cantu in Paghjella Case Study. HAL (Le Centre pour la Communication Scientifique Directe). 4(1). 121–132. 2 indexed citations
8.
Tian, Ye, et al.. (2015). Robust indoor localization and tracking using GSM fingerprints. EURASIP Journal on Wireless Communications and Networking. 2015(1). 27 indexed citations
9.
Adda‐Decker, Martine, Nicolas Audibert, B. Denby, et al.. (2014). An educational platform to capture, visualize and analyze rare singing. HAL (Le Centre pour la Communication Scientifique Directe). 2128–2129. 5 indexed citations
10.
Romain, Olivier, et al.. (2013). A Practical FPGA-Based Architecture for Arbitrary-Ratio Sample Rate Conversion. Journal of Signal Processing Systems. 78(2). 147–154. 13 indexed citations
11.
Liu, Shen, Jianguo Wei, Bo Feng, et al.. (2012). An anisotropic diffusion filter for reducing speckle noise of ultrasound images based on separability. Asia-Pacific Signal and Information Processing Association Annual Summit and Conference. 1–4. 13 indexed citations
12.
Oussar, Yacine, et al.. (2010). Full-Band GSM Fingerprints for Indoor Localization Using a Machine Learning Approach. Hindawi Journal of Chemistry (Hindawi). 2010. 1–7. 11 indexed citations
13.
Prévotet, Jean-Christophe, B. Denby, Patrick Garda, Bertrand Granado, & C. Kiesling. (2003). Moving NN Triggers to Level-1 at LHC Rates. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 502(2-3). 511–512. 3 indexed citations
14.
Denby, B., et al.. (2002). Structured neural network approach for measuring raindrop sizes and velocities. 567–576. 1 indexed citations
15.
Denby, B. & Damian Schofield. (1999). Role of virtual reality in safety training of mine personnel. Mining Engineering. 51(10). 33–38. 17 indexed citations
16.
Denby, B.. (1998). High-energy physics. MIT Press eBooks. 464–468. 1 indexed citations
17.
Lindsey, Clark S., et al.. (1992). DRIFT CHAMBER TRACKING WITH A VLSI NEURAL NETWORK. International Journal of Neural Systems. 3(supp01). 285–295. 1 indexed citations
18.
Lindsey, Clark S., et al.. (1992). Real time track finding in a drift chamber with a VLSI neural network. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 317(1-2). 346–356. 14 indexed citations
19.
Denby, B., M. Campbell, F. Bedeschi, et al.. (1990). Neural networks for triggering. IEEE Transactions on Nuclear Science. 37(2). 248–254. 17 indexed citations
20.
Bharadwaj, V., D. O. Caldwell, B. Denby, et al.. (1985). A large area liquid scintillation multiphoton detector. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 228(2-3). 283–289. 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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