M. Inés Torres

1.3k citations
95 papers · 659 indexed · h-index 13
Topics
Speech and dialogue systems (36 papers)Speech Recognition and Synthesis (26 papers)Natural Language Processing Techniques (22 papers)

In The Last Decade

M. Inés Torres

91 papers receiving 630 citations

Peers

M. Inés Torres
Comparison fields: 5 of 93
  • Artificial Intelligence 338
  • Atomic and Molecular Physics, and Optics 167
  • Spectroscopy 155
  • Experimental and Cognitive Psychology 81
  • Computer Vision and Pattern Recognition 59
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Citations per field
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Countries citing papers authored by M. Inés Torres

Since Specialization
Citations

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

Fields of papers citing papers by M. Inés Torres

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Inés Torres. 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 M. Inés Torres. The network helps show where M. Inés Torres may publish in the future.

Co-authorship network of co-authors of M. Inés Torres

This figure shows the co-authorship network connecting the top 25 collaborators of M. Inés Torres. A scholar is included among the top collaborators of M. Inés Torres 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 M. Inés Torres. M. Inés Torres 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
#WorkIndexed citations
1 1
2 5
3 11
4 2
5
Audio Embeddings Help to Learn Better Dialogue Policies
3
6 1
7 3
8 1
9 4
10
ASLP-MULAN: Audio speech and language processing for multimedia analytics
2
11
Basque Speecon-like and Basque SpeechDat MDB-600: speech databases for the development of ASR technology for Basque
4
12
Stochastic Bi-Languages to model Dialogs
4
13
Stochastic K-TSS Bi-Languages for Machine Translation
2
14
An Efficient Representation of k-TSS Language Models
1
15
A comparison of linguistically and statistically enhanced models for speech-to-speech machine translation.
1
16
Category-based language models in a Spanish spoken dialogue system
2
17
Evaluation of a Spoken Phonetic Database in Basque Language
1
18
Análisis de la melodía: oraciones simples vs. compuestas
3
19
Pattern recognition and applications
10
20 2

About M. Inés Torres

M. Inés Torres is a scholar working on Artificial Intelligence, Experimental and Cognitive Psychology and Neuropsychology and Physiological Psychology, having authored 95 papers that have together received 659 indexed citations. Recurring topics across this work include Speech and dialogue systems (36 papers), Speech Recognition and Synthesis (26 papers) and Natural Language Processing Techniques (22 papers). The work is most often cited by research in Artificial Intelligence (338 citations), Spectroscopy (155 citations) and Experimental and Cognitive Psychology (81 citations). M. Inés Torres has collaborated with scholars based in Spain, United Kingdom and United States. Frequent co-authors include Raquel Justo, Fernando Castaño, Roberto Martı́nez, Marı́a N. Sánchez Rayo, Marilyn Walker, Amparo Varona, M. Lezius, G. Hanel, T.D. Märk and T. Fiegele. Their work appears in journals such as The Journal of Chemical Physics, Chemical Physics Letters and IEEE Access.

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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