C. Ris

636 citations
7 papers · 386 indexed · h-index 5
Topics
Speech and Audio Processing (6 papers)Speech Recognition and Synthesis (5 papers)Neural Networks and Applications (2 papers)
Journals
Speech CommunicationInfoscience (Ecole Polytechnique Fédérale de Lausanne)PORTO Publications Open Repository TOrino (Politecnico di Torino)
Partner nations
Belgium

In The Last Decade

C. Ris

7 papers receiving 354 citations

Peers

C. Ris
Comparison fields: 5 of 71
  • Artificial Intelligence 291
  • Signal Processing 215
  • Experimental and Cognitive Psychology 93
  • Computer Vision and Pattern Recognition 37
  • Cognitive Neuroscience 30
Replace Lorenzo Fissore with:
Lorenzo Fissore
Olivier Deroo Belgium
Bela Usabaev Germany
Volker Strom United Kingdom
Mohamed Faouzi BenZeghiba France
Kåre Sjölander Sweden
Mats Blomberg Sweden
Éva Székely Sweden
Stephen E. Levinson United States
Norbert Braunschweiler United Kingdom
C. Ris relative to Lorenzo Fissore Lorenzo Fissore's profile →
Citations per field
00.5×1.5×
Lorenzo Fissore · 1×
Citations per year

Countries citing papers authored by C. Ris

Since Specialization
Citations

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

Fields of papers citing papers by C. Ris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of C. Ris

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 312
2
Impact of variabilities on speech recognition
7
3 19
4 41
5 4
6 2
7
Order estimation and nonlinear prediction with radial basis functions
1

About C. Ris

C. Ris is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 7 papers that have together received 386 indexed citations. Recurring topics across this work include Speech and Audio Processing (6 papers), Speech Recognition and Synthesis (5 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Signal Processing (215 citations), Artificial Intelligence (291 citations) and Experimental and Cognitive Psychology (93 citations). C. Ris has collaborated with scholars based in Belgium. Frequent co-authors include Olivier Deroo, Stéphane Dupont, Denis Jouvet, Renato De Mori, Richard C. Rose, C. Wellekens, Lorenzo Fissore, Alfred Mertins, Vivek Tyagi and Pietro Laface. Their work appears in journals such as Speech Communication, Infoscience (Ecole Polytechnique Fédérale de Lausanne) and PORTO Publications Open Repository TOrino (Politecnico di Torino).

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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