Juan Martínez-Romo

50 papers receiving 513 citations

Peers

Juan Martínez-Romo
Comparison fields: 5 of 68
  • Artificial Intelligence 349
  • Information Systems 240
  • Computer Networks and Communications 108
  • Molecular Biology 81
  • Sociology and Political Science 76
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Citations per year

Countries citing papers authored by Juan Martínez-Romo

Since Specialization
Citations

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

Fields of papers citing papers by Juan Martínez-Romo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Martínez-Romo. 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 Juan Martínez-Romo. The network helps show where Juan Martínez-Romo may publish in the future.

Co-authorship network of co-authors of Juan Martínez-Romo

This figure shows the co-authorship network connecting the top 25 collaborators of Juan Martínez-Romo. A scholar is included among the top collaborators of Juan Martínez-Romo 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 Juan Martínez-Romo. Juan Martínez-Romo 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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4 17
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LSI_UNED at CLEF eHealth2021: Exploring the effects of transfer learning in negation detection and entity recognition in clinical texts.
1
7
NLP&IR@UNED at CheckThat! 2021: Check-worthiness estimation and fake news detection using transformer models
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8
NLP-UNED at eRisk 2021: self-harm early risk detection with TF-IDF and linguistic features.
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NLP&IR@UNED at CheckThat! 2020: A Preliminary Approach for Check-Worthiness and Claim Retrieval Tasks using Neural Networks and Graphs.
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NLP-UNED at eRisk 2020: Self-harm Early Risk Detection with Sentiment Analysis and Linguistic Features.
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11
De-Identification through Named Entity Recognition for Medical Document Anonymization.
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12 6
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Extending a Deep Learning Approach for Negation Cues Detection in Spanish.
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NLP_UNED at eHealth-KD Challenge 2019: Deep Learning for Named Entity Recognition and Attentive Relation Extraction.
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15 15
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A Tagged Corpus for Automatic Labeling of Disabilities in Medical Scientific Papers
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17 7
18 38
19 14
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Sistema de Recomendación para la Recuperación Automática de Enlaces Web Rotos
0

About Juan Martínez-Romo

Juan Martínez-Romo is a scholar working on Artificial Intelligence, Information Systems and Computer Science Applications, having authored 55 papers that have together received 553 indexed citations. Recurring topics across this work include Topic Modeling (21 papers), Natural Language Processing Techniques (21 papers) and Biomedical Text Mining and Ontologies (11 papers). The work is most often cited by research in Artificial Intelligence (349 citations), Information Systems (240 citations) and Computer Networks and Communications (108 citations). Juan Martínez-Romo has collaborated with scholars based in Spain, Myanmar and France. Frequent co-authors include Lourdes Araujo, M. C. Rodriguez‐Sanchez, Juan A. Hernández‐Tamames, Susana Borromeo, Mark Stevenson, Javier Borge‐Holthoefer, José A. Cuesta, José A. Capitán, Àlex Arenas and Laura Plaza. Their work appears in journals such as PLoS ONE, Expert Systems with Applications 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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