Dominique Genoud

1.0k total citations
50 papers, 616 citations indexed

About

Dominique Genoud is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Signal Processing. According to data from OpenAlex, Dominique Genoud has authored 50 papers receiving a total of 616 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Artificial Intelligence, 12 papers in Electrical and Electronic Engineering and 11 papers in Signal Processing. Recurrent topics in Dominique Genoud's work include Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (8 papers) and Speech and dialogue systems (7 papers). Dominique Genoud is often cited by papers focused on Speech Recognition and Synthesis (16 papers), Speech and Audio Processing (8 papers) and Speech and dialogue systems (7 papers). Dominique Genoud collaborates with scholars based in Switzerland, France and Sweden. Dominique Genoud's co-authors include Antonio J. Jara, Yann Bocchi, Jean Hennebert, Pierre Jourlin, Juergen Luettin, Frédéric Bimbot, Jean-Jacques Bézian, M. Victoria Moreno, Antonio Skármeta and Gérard Chollet and has published in prestigious journals such as Food Chemistry, Sensors and Phytochemistry.

In The Last Decade

Dominique Genoud

46 papers receiving 537 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dominique Genoud Switzerland 15 206 199 137 106 80 50 616
Mercedes Valdés-Vela Spain 11 64 0.3× 83 0.4× 85 0.6× 119 1.1× 101 1.3× 26 460
Ankit Vidyarthi India 14 75 0.4× 244 1.2× 199 1.5× 167 1.6× 55 0.7× 98 683
Senthil Murugan Nagarajan India 17 114 0.6× 244 1.2× 66 0.5× 294 2.8× 73 0.9× 29 720
Ravindra C. Thool India 14 158 0.8× 222 1.1× 137 1.0× 330 3.1× 97 1.2× 57 769
M. Hemalatha India 13 119 0.6× 209 1.1× 56 0.4× 242 2.3× 46 0.6× 99 766
Muhammad Umar Aftab Pakistan 17 67 0.3× 329 1.7× 202 1.5× 234 2.2× 144 1.8× 55 941
Eman H. Alkhammash Saudi Arabia 18 79 0.4× 243 1.2× 117 0.9× 201 1.9× 169 2.1× 52 756
Preeti Gulia India 13 71 0.3× 187 0.9× 67 0.5× 174 1.6× 61 0.8× 95 571

Countries citing papers authored by Dominique Genoud

Since Specialization
Citations

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

Fields of papers citing papers by Dominique Genoud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dominique Genoud

This figure shows the co-authorship network connecting the top 25 collaborators of Dominique Genoud. A scholar is included among the top collaborators of Dominique Genoud 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 Dominique Genoud. Dominique Genoud 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.
Genoud, Dominique, et al.. (2022). An Evaluation of the Generalization Capabilities of Machine Learning Models for Vine Line Detection. ArODES (HES-SO (https://www.hes-so.ch/)). 25. 1–6.
2.
Ingold, Rolf, et al.. (2021). Improved and Generalized Vine Line Detection on Aerial Images Using Asymmetrical Neural Networks and ML Subclassifiers. ArODES (HES-SO (https://www.hes-so.ch/)). 189–194. 1 indexed citations
3.
Genoud, Dominique, et al.. (2018). Improving wind power prediction with retraining machine learning algorithms. 43–48. 18 indexed citations
4.
Genoud, Dominique, et al.. (2018). Decision Tree Ensemble Vs. N.N. Deep Learning: Efficiency Comparison For A Small Image Dataset. ArODES (HES-SO (https://www.hes-so.ch/)). 25–30. 11 indexed citations
5.
Genoud, Dominique, et al.. (2018). Improved Machine Learning Methodology for High Precision Agriculture. ArODES (HES-SO (https://www.hes-so.ch/)). 1–6. 39 indexed citations
6.
Jara, Antonio J., et al.. (2016). I-BAT. International Journal of Data Warehousing and Mining. 12(2). 39–61. 3 indexed citations
7.
Évéquoz, Florian, et al.. (2016). Mining and Visualizing Social Data to Inform Marketing Decisions. ArODES (HES-SO (https://www.hes-so.ch/)). 14. 66–73. 6 indexed citations
8.
Genoud, Dominique, et al.. (2015). A non-intrusive model to predict the exible energy in a residential building. ArODES (HES-SO (https://www.hes-so.ch/)). 21. 69–74. 7 indexed citations
9.
Gisler, Christophe, et al.. (2014). Towards glaucoma detection using intraocular pressure monitoring. ArODES (HES-SO (https://www.hes-so.ch/)). 255–260. 4 indexed citations
10.
Jara, Antonio J., Dominique Genoud, & Yann Bocchi. (2014). Big Data in Smart Cities: From Poisson to Human Dynamics. ArODES (HES-SO (https://www.hes-so.ch/)). 785–790. 23 indexed citations
11.
Genoud, Dominique, et al.. (2005). . Phytochemistry. 66(3). 267–276. 5 indexed citations
12.
Lindberg, Johan, et al.. (2002). A comparison of a priori threshold setting procedures for speaker verification in the CAVE project. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1. 125–128. 10 indexed citations
13.
Maeder, Thomas & Dominique Genoud. (2001). Solder assembly of cantilever bar force or displacement sensors. Sensors. 1 indexed citations
14.
Heck, Larry & Dominique Genoud. (2001). Integrating speaker and speech recognizers: Automatic identity claim capture for speaker verification.. 249–254. 3 indexed citations
15.
Bimbot, Frédéric, Mats Blomberg, Lou Boves, et al.. (2000). An overview of the CAVE project research activities in speaker verification. Speech Communication. 31(2-3). 155–180. 17 indexed citations
16.
Hennebert, Jean, et al.. (2000). POLYCOST: A telephone-speech database for speaker recognition. Speech Communication. 31(2-3). 265–270. 58 indexed citations
17.
Genoud, Dominique. (1999). Reconnaissance et transformation de locuteurs. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 5 indexed citations
18.
Genoud, Dominique & Gérard Chollet. (1998). Speech pre-processing against intentional imposture in speaker recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). paper 0734–0. 7 indexed citations
19.
Petrovska‐Delacrétaz, Dijana, et al.. (1998). Polycost : a telephone-speech database for speaker recognition. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 211–214. 10 indexed citations
20.
Genoud, Dominique, et al.. (1997). 1997 NIST Evaluation: Text independent speaker detection (verification). Infoscience (Ecole Polytechnique Fédérale de Lausanne). 1 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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