Bruno Gas

563 total citations
30 papers, 212 citations indexed

About

Bruno Gas is a scholar working on Artificial Intelligence, Signal Processing and Cognitive Neuroscience. According to data from OpenAlex, Bruno Gas has authored 30 papers receiving a total of 212 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 13 papers in Signal Processing and 9 papers in Cognitive Neuroscience. Recurrent topics in Bruno Gas's work include Speech and Audio Processing (11 papers), Speech Recognition and Synthesis (10 papers) and Neural Networks and Applications (8 papers). Bruno Gas is often cited by papers focused on Speech and Audio Processing (11 papers), Speech Recognition and Synthesis (10 papers) and Neural Networks and Applications (8 papers). Bruno Gas collaborates with scholars based in France, Australia and Portugal. Bruno Gas's co-authors include Mohamed Chétouani, Sio-Hoï Ieng, Frédéric Plumet, Marcos Faúndez-Zanuy, Sylvain Argentieri, J. Kevin Ο’Regan, Alexander V. Terekhov, Alain Dabas, Gurvan Le Clec’H and Arnaud Revel and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Pattern Recognition and Neurocomputing.

In The Last Decade

Bruno Gas

26 papers receiving 185 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bruno Gas France	7	105	85	42	41	30	30	212
Maroš Jakubec Slovakia	5	63 0.6×	109 1.3×	42 1.0×	9 0.2×	14 0.5×	20	214
Saurabh Bhardwaj India	9	209 2.0×	84 1.0×	37 0.9×	5 0.1×	12 0.4×	31	315
Zhongzhe Xiao China	8	50 0.5×	114 1.3×	39 0.9×	34 0.8×	13 0.4×	27	209
Thomas Pellegrini France	11	240 2.3×	159 1.9×	54 1.3×	4 0.1×	14 0.5×	49	370
Xiaoyu Bie France	5	102 1.0×	68 0.8×	61 1.5×	4 0.1×	12 0.4×	6	222
Phani Kumar Polasi India	11	63 0.6×	27 0.3×	37 0.9×	53 1.3×	25 0.8×	33	252
Peng Dai Singapore	8	127 1.2×	56 0.7×	80 1.9×	11 0.3×	12 0.4×	26	223
Ruben Villegas United States	6	98 0.9×	43 0.5×	212 5.0×	7 0.2×	12 0.4×	6	301
Thomas Manzini United States	5	282 2.7×	80 0.9×	114 2.7×	8 0.2×	8 0.3×	14	364
Timothy J. Draelos United States	6	213 2.0×	11 0.1×	25 0.6×	17 0.4×	31 1.0×	16	296

Countries citing papers authored by Bruno Gas

Since Specialization

Citations

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

Fields of papers citing papers by Bruno Gas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Gas

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Argentieri, Sylvain, et al.. (2020). A Formal Account of Structuring Motor Actions With Sensory Prediction for a Naive Agent. Frontiers in Robotics and AI. 7. 561660–561660. 1 indexed citations

Argentieri, Sylvain, et al.. (2019). Where Do I Move My Sensors? Emergence of a Topological Representation of Sensors Poses From the Sensorimotor Flow. IEEE Transactions on Cognitive and Developmental Systems. 13(2). 312–325. 3 indexed citations

Argentieri, Sylvain, et al.. (2018). The Head Turning Modulation System: An Active Multimodal Paradigm for Intrinsically Motivated Exploration of Unknown Environments. Frontiers in Neurorobotics. 12. 60–60. 3 indexed citations

Gas, Bruno. (2017). Naturkatastrophen und Versicherungsdeckung. Zeitschrift für die gesamte Versicherungswissenschaft. 106(1). 3–20. 1 indexed citations

Argentieri, Sylvain, et al.. (2016). Building a Sensorimotor Representation of a Naive Agent’s Tactile Space. IEEE Transactions on Cognitive and Developmental Systems. 9(2). 141–152. 6 indexed citations

Clec’H, Gurvan Le, Bruno Gas, & J. Kevin Ο’Regan. (2016). Acquisition of a space representation by a naive agent from sensorimotor invariance and proprioceptive compensation. International Journal of Advanced Robotic Systems. 13(6). 2 indexed citations

Ο’Regan, J. Kevin, et al.. (2015). Learning agent’s spatial configuration from sensorimotor invariants. Robotics and Autonomous Systems. 71. 49–59. 12 indexed citations

Terekhov, Alexander V., et al.. (2013). Learning an internal representation of the end-effector configuration space. 290. 1230–1235. 4 indexed citations

Gas, Bruno. (2010). Self-Organizing MultiLayer Perceptron. IEEE Transactions on Neural Networks. 21(11). 1766–1779. 14 indexed citations

10.

Gas, Bruno, et al.. (2009). Underwater transient and non transient signals classification using predictive neural networks. 422. 2283–2288. 2 indexed citations

11.

Gas, Bruno, et al.. (2009). Extracting space dimension information from the auditory modality sensori-motor flow using a bio-inspired model of the cochlea. 9. 2742–2747.

12.

Chétouani, Mohamed, et al.. (2008). Investigation on LP-residual representations for speaker identification. Pattern Recognition. 42(3). 487–494. 28 indexed citations

13.

Chétouani, Mohamed, et al.. (2004). Learning Vector Quantization And Neural Predictive Coding For Nonlinear Speech Feature Extraction. Zenodo (CERN European Organization for Nuclear Research). 2059–2062. 2 indexed citations

14.

Chétouani, Mohamed, et al.. (2003). Maximization of the modelisation error ratio for neural predictive coding. 12. 3 indexed citations

15.

Gas, Bruno, et al.. (2003). Discriminant neural predictive coding applied to phoneme recognition. Neurocomputing. 56. 141–166. 11 indexed citations

16.

Gas, Bruno, et al.. (2003). Wer trägt das Terrorrisiko?. Zeitschrift für die gesamte Versicherungswissenschaft. 92(4). 697–723. 5 indexed citations

17.

Chétouani, Mohamed, et al.. (2002). Neural Predictive Coding for Speech Discriminant Feature Extraction : The DFE-NPC. The European Symposium on Artificial Neural Networks. 31(9). 275–280. 18 indexed citations

18.

Gas, Bruno, et al.. (2000). A New Approach To Speech Coding: the Neural Predictive Coding. Journal of Advanced Computational Intelligence and Intelligent Informatics. 4(1). 120–127. 5 indexed citations

19.

Dabas, Alain, et al.. (1999). Adaptive parametric algorithms for processing coherent Doppler-lidar signal. IEEE Transactions on Geoscience and Remote Sensing. 37(6). 2678–2691. 3 indexed citations

20.

Gas, Bruno, et al.. (1992). A model of formal neural network for non supervised learning and recognition of temporal sequences. 292–301.

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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