José A. Troyano

38 papers receiving 432 citations

Peers

José A. Troyano
Comparison fields: 5 of 62
  • Artificial Intelligence 343
  • Information Systems 134
  • Sociology and Political Science 99
  • Statistical and Nonlinear Physics 53
  • Computer Networks and Communications 37
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Countries citing papers authored by José A. Troyano

Since Specialization
Citations

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

Fields of papers citing papers by José A. Troyano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José A. Troyano. 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 José A. Troyano. The network helps show where José A. Troyano may publish in the future.

Co-authorship network of co-authors of José A. Troyano

This figure shows the co-authorship network connecting the top 25 collaborators of José A. Troyano. A scholar is included among the top collaborators of José A. Troyano 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 José A. Troyano. José A. Troyano 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 2
2 4
3 4
4 17
5 25
6 59
7
Enriching User Reviews Through An Opinion Extraction System
2
8
Explorando Twitter mediante la Integración de Información Estructurada y No Estructurada
1
9 25
10
ML-SentiCon: un lexicón multilingüe de polaridades semánticas a nivel de lemas
7
11 15
12
Generación adaptativa de consultas para la recuperación temática de tweets
1
13 1
14
Automatic Expansion of Feature-Level Opinion Lexicons
7
15 7
16
The Italica System at TAC 2008 Opinion Summarization Task
6
17
Clasificación de documentos basada en la opinión: experimentos con un corpus de críticas de cine en español
15
18
TextRank como motor de aprendizaje en tareas de etiquetado
0
19
Ampliación automática de corpus mediante la colaboración de varios etiquetadores
1
20
Aplicaciones de los Estándares Educativos a la Adaptación en Sistemas Virtuales de Formación Colaborativos que Integran a la Herramienta LAMS
1

About José A. Troyano

José A. Troyano is a scholar working on Artificial Intelligence, Communication and Computer Science Applications, having authored 41 papers that have together received 467 indexed citations. Recurring topics across this work include Topic Modeling (13 papers), Natural Language Processing Techniques (12 papers) and Sentiment Analysis and Opinion Mining (10 papers). The work is most often cited by research in Artificial Intelligence (343 citations), Information Systems (134 citations) and Statistical and Nonlinear Physics (53 citations). José A. Troyano has collaborated with scholars based in Spain, Chile and United Kingdom. Frequent co-authors include Fermín L. Cruz, Fernando Enríquez, F. Javier Ortega, Beatriz Pontes, Paolo Rosso, Marc Franco-Salvador, Rafael Estepa, Antonio Estepa, Alejandro Fernández-Montes and Iván Cantador. Their work appears in journals such as Scientific Reports, 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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