Emilio Sanchís

38 papers receiving 242 citations

Peers

Emilio Sanchís
Comparison fields: 5 of 31
  • Artificial Intelligence 243
  • Computer Vision and Pattern Recognition 21
  • Information Systems 20
  • Signal Processing 15
  • Social Psychology 13
Replace José Ángel González with:
José Ángel González Spain
Saloni Potdar United States
Yassine Benajiba United States
Jinjie Ni Singapore
Kilian Evang Netherlands
Alok Ranjan Pal India
Sudipta Kar United States
Junji Tomita Japan
Filip Jurčíček United Kingdom
Kaichun Yao China
Emilio Sanchís relative to José Ángel González Spain José Ángel González's profile →
Citations per field
00.5×3.2×
José Ángel González · 1×
Citations per year

Countries citing papers authored by Emilio Sanchís

Since Specialization
Citations

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

Fields of papers citing papers by Emilio Sanchís

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emilio Sanchís

This figure shows the co-authorship network connecting the top 25 collaborators of Emilio Sanchís. A scholar is included among the top collaborators of Emilio Sanchís 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 Emilio Sanchís. Emilio Sanchís 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
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Exploiting multiple hypotheses for Multilingual Spoken Language Understanding
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Predicting Success in the Computer Science Degree Using ROC Analysis.
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13
Acquisition and Evaluation of a Dialog Corpus through WOz and Dialog Simulation Techniques.
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14
INCORPORATING SEMANTIC KNOWLEDGE TO THE LANGUAGE MODEL IN A SPEECH UNDERSTANDING SYSTEM
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15
TPIRS: A System for Document Indexing Reduction on WebCLEF.
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16
Dos aproximaciones basadas en reglas para la gestión del diálogo
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17
3LB-SAT : una herramienta de anotación semántica
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Modelos específicos de comprensión en un sistema de diálogo
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19
A Labelling Proposal to Annotate Dialogues.
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About Emilio Sanchís

Emilio Sanchís is a scholar working on Artificial Intelligence, Signal Processing and Computer Science Applications, having authored 44 papers that have together received 261 indexed citations. Recurring topics across this work include Speech and dialogue systems (27 papers), Natural Language Processing Techniques (27 papers) and Topic Modeling (16 papers). The work is most often cited by research in Artificial Intelligence (243 citations), Signal Processing (15 citations) and Computer Science Applications (7 citations). Emilio Sanchís has collaborated with scholars based in Spain, Italy and Switzerland. Frequent co-authors include Encarna Segarra, David Griol, Lluís-F. Hurtado, Davide Buscaldi, Paolo Rosso, José M. Gómez, Francisco Torres, Giuseppe Riccardi, José Ángel González and Paolo Rosso. Their work appears in journals such as Applied Sciences, Speech Communication and Language Resources and Evaluation.

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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