Jorge Duque

434 total citations
38 papers, 263 citations indexed

About

Jorge Duque is a scholar working on Information Systems, Sociology and Political Science and Computer Networks and Communications. According to data from OpenAlex, Jorge Duque has authored 38 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Information Systems, 11 papers in Sociology and Political Science and 10 papers in Computer Networks and Communications. Recurrent topics in Jorge Duque's work include Multimedia Communication and Technology (11 papers), Video Analysis and Summarization (8 papers) and Recommender Systems and Techniques (7 papers). Jorge Duque is often cited by papers focused on Multimedia Communication and Technology (11 papers), Video Analysis and Summarization (8 papers) and Recommender Systems and Techniques (7 papers). Jorge Duque collaborates with scholars based in Spain, Portugal and Ecuador. Jorge Duque's co-authors include José J. Pazos‐Arias, Ana Fernández Vilas, Rebeca P. Dı́az Redondo, Martín López‐Nores, Ana Belén Barragáns Martínez, Alberto Gil‐Solla, Manuel Ramos‐Cabrer, Vítor Filipe, Yolanda Blanco‐Fernández and Jo�ão Varaj�ão and has published in prestigious journals such as Information Sciences, Journal of Systems and Software and Information and Software Technology.

In The Last Decade

Jorge Duque

35 papers receiving 242 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jorge Duque Spain 8 156 95 67 66 62 38 263
Youry Khmelevsky Canada 10 206 1.3× 32 0.3× 130 1.9× 60 0.9× 23 0.4× 54 393
Jan Newmarch Australia 8 86 0.6× 28 0.3× 96 1.4× 87 1.3× 41 0.7× 36 234
Ron Ruhl Canada 12 286 1.8× 33 0.3× 155 2.3× 114 1.7× 31 0.5× 52 392
Bart De Decker Belgium 9 149 1.0× 44 0.5× 71 1.1× 134 2.0× 44 0.7× 64 252
Xianghang Mi United States 9 170 1.1× 39 0.4× 120 1.8× 141 2.1× 45 0.7× 18 334
Mariano Cilia Germany 11 180 1.2× 42 0.4× 314 4.7× 108 1.6× 48 0.8× 27 418
Wael Etaiwi Jordan 11 137 0.9× 28 0.3× 37 0.6× 237 3.6× 28 0.5× 32 383
Mala Dutta India 5 135 0.9× 44 0.5× 43 0.6× 98 1.5× 34 0.5× 18 280
Kara Nance United States 12 388 2.5× 87 0.9× 167 2.5× 219 3.3× 25 0.4× 42 529
Antonio Maña Spain 12 249 1.6× 23 0.2× 165 2.5× 209 3.2× 104 1.7× 70 430

Countries citing papers authored by Jorge Duque

Since Specialization
Citations

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

Fields of papers citing papers by Jorge Duque

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jorge Duque

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge Duque. A scholar is included among the top collaborators of Jorge Duque 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 Jorge Duque. Jorge Duque 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
1.
Duque, Jorge. (2024). Data Mining for Knowledge Management. Procedia Computer Science. 239. 257–264.
2.
Duque, Jorge, et al.. (2024). Data Science with Data Mining and Machine Learning A design science research approach. Procedia Computer Science. 237. 245–252. 2 indexed citations
3.
Duque, Jorge, et al.. (2023). Data Mining applied to Knowledge Management. Procedia Computer Science. 219. 455–461. 4 indexed citations
4.
Duque, Jorge. (2023). The IoT to Smart Cities - A design science research approach. Procedia Computer Science. 219. 279–285. 6 indexed citations
5.
Duque, Jorge, Jo�ão Varaj�ão, & Vítor Filipe. (2018). From CRM to CzRM — Fundamental concepts. RepositóriUM (Universidade do Minho). 1–6. 2 indexed citations
6.
Robles-Bykbaev, Vladimir, et al.. (2017). Un sistema híbrido basado en asistentes robóticos y aplicaciones móviles para brindar soporte en la terapia de lenguaje de niños con discapacidad y trastornos de la comunicación. 6(1). 77–87. 1 indexed citations
7.
Esparragoza, Iván, et al.. (2016). Engineering Students Motivation on Multinational Projects: A Comparison Based on Interest, Value, and Gender. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 3 indexed citations
8.
Esparragoza, Iván, et al.. (2015). Assessment of interaction in multinational projects: A comparison based on geographical location. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 8. 347–354. 3 indexed citations
9.
Duque, Jorge, Jo�ão Varaj�ão, Vítor Filipe, & Caroline Domínguez. (2013). Implementation of CRM systems in Portuguese Municipalities. Local Government Studies. 39(6). 878–894. 10 indexed citations
10.
Redondo, Rebeca P. Dı́az, Ana Fernández Vilas, José J. Pazos‐Arias, et al.. (2011). Bringing Content Awareness to Web-Based IDTV Advertising. IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews). 42(3). 324–333. 4 indexed citations
11.
Vilas, Ana Fernández, et al.. (2008). MYTV 2.0: Semantic reasoning and Web 2.0 for mobile TV. 1–4. 1 indexed citations
12.
Redondo, Rebeca P. Dı́az, Ana Fernández Vilas, Manuel Ramos‐Cabrer, et al.. (2008). Enhancing Residential Gateways: A Semantic OSGi Platform. IEEE Intelligent Systems. 23(1). 32–40. 25 indexed citations
13.
Blanco‐Fernández, Yolanda, José J. Pazos‐Arias, Alberto Gil‐Solla, et al.. (2007). AVATAR: ENHANCING THE PERSONALIZED TELEVISION BY SEMANTIC INFERENCE. International Journal of Pattern Recognition and Artificial Intelligence. 21(2). 397–421. 14 indexed citations
15.
Vilas, Ana Fernández, Rebeca P. Dı́az Redondo, José J. Pazos‐Arias, Alberto Gil‐Solla, & Jorge Duque. (2007). Providing Web Services over DVB-H: Mobile Virtual Web Services. IEEE Transactions on Consumer Electronics. 53(2). 644–652. 1 indexed citations
16.
Martínez, Ana Belén Barragáns, José J. Pazos‐Arias, Ana Fernández Vilas, et al.. (2007). On the interplay between inconsistency and incompleteness in multi-perspective requirements specifications. Information and Software Technology. 50(4). 296–321. 11 indexed citations
17.
Vilas, Ana Fernández, Rebeca P. Dı́az Redondo, Manuel Ramos‐Cabrer, et al.. (2006). MHP‐OSGi convergence: a new model for open residential gateways. Software Practice and Experience. 36(13). 1421–1442.
18.
Redondo, Rebeca P. Dı́az, et al.. (2005). An Improved Repository System for Effective and Efficient Reuse of Formal Verification Efforts. 66. 38–45. 2 indexed citations
19.
Panayotou, Theodore, et al.. (2003). Competitividad y contaminación industrial en la región andina. RePEc: Research Papers in Economics. 1 indexed citations
20.
Pazos‐Arias, José J. & Jorge Duque. (2001). SCTL-MUS: A Formal Methodology for Software Development of Distributed Systems. A Case Study. Formal Aspects of Computing. 13(1). 50–91. 23 indexed citations

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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