Joan Borràs

779 total citations · 1 hit paper
7 papers, 504 citations indexed

About

Joan Borràs is a scholar working on Information Systems, Sociology and Political Science and Artificial Intelligence. According to data from OpenAlex, Joan Borràs has authored 7 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Information Systems, 4 papers in Sociology and Political Science and 2 papers in Artificial Intelligence. Recurrent topics in Joan Borràs's work include Recommender Systems and Techniques (5 papers), Digital Marketing and Social Media (4 papers) and Diverse Aspects of Tourism Research (3 papers). Joan Borràs is often cited by papers focused on Recommender Systems and Techniques (5 papers), Digital Marketing and Social Media (4 papers) and Diverse Aspects of Tourism Research (3 papers). Joan Borràs collaborates with scholars based in Spain and Poland. Joan Borràs's co-authors include Aı̈da Valls, Antonio Moreno, David Isern, Piotr Zielniewicz, Salvador Antón Clavé and Assumpció Huertas and has published in prestigious journals such as Expert Systems with Applications, Applied Sciences and Engineering Applications of Artificial Intelligence.

In The Last Decade

Joan Borràs

7 papers receiving 484 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Intelligent tourism recommender systems: A survey

2014 325 citations Joan Borràs, Antonio Moreno et al. Expert Systems with Applications profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Joan Borràs Spain	5	270	223	121	100	85	7	504
Laura Sebastiá Spain	11	292 1.1×	171 0.8×	196 1.6×	74 0.7×	81 1.0×	36	566
Konstantinos Mastakas Greece	8	211 0.8×	235 1.1×	78 0.6×	210 2.1×	88 1.0×	9	673
Il Young Choi South Korea	7	391 1.4×	155 0.7×	182 1.5×	36 0.4×	135 1.6×	27	602
Michael Kenteris Greece	8	190 0.7×	207 0.9×	52 0.4×	108 1.1×	122 1.4×	14	494
Birgit Pröll Austria	13	192 0.7×	204 0.9×	111 0.9×	35 0.3×	53 0.6×	49	488
Sujoy Bag India	7	211 0.8×	79 0.4×	173 1.4×	23 0.2×	88 1.0×	9	436
Maryam Khanian Najafabadi Malaysia	7	298 1.1×	70 0.3×	164 1.4×	33 0.3×	64 0.8×	23	507
Zubair Shafiq United States	16	189 0.7×	231 1.0×	311 2.6×	119 1.2×	132 1.6×	67	782
Javier Parra‐Arnau Spain	14	158 0.6×	215 1.0×	288 2.4×	28 0.3×	36 0.4×	42	491
Ko Fujimura Japan	11	315 1.2×	122 0.5×	176 1.5×	279 2.8×	121 1.4×	18	637

Countries citing papers authored by Joan Borràs

Since Specialization

Citations

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

Fields of papers citing papers by Joan Borràs

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Joan Borràs

This figure shows the co-authorship network connecting the top 25 collaborators of Joan Borràs. A scholar is included among the top collaborators of Joan Borràs 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 Joan Borràs. Joan Borràs is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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7 of 7 papers shown

1.

Huertas, Assumpció, et al.. (2022). Identification of Mobility Patterns of Clusters of City Visitors: An Application of Artificial Intelligence Techniques to Social Media Data. Applied Sciences. 12(12). 5834–5834. 7 indexed citations

2.

Borràs, Joan, et al.. (2021). Combining Cluster-Based Profiling Based on Social Media Features and Association Rule Mining for Personalised Recommendations of Touristic Activities. Applied Sciences. 11(14). 6512–6512. 6 indexed citations

3.

Borràs, Joan, Antonio Moreno, & Aı̈da Valls. (2016). Diversification of recommendations through semantic clustering. Multimedia Tools and Applications. 76(22). 24165–24201. 4 indexed citations

4.

Borràs, Joan. (2015). Semantic recommender systems Provision of personalised information about tourist activities.. TDX (Tesis Doctorals en Xarxa). 3 indexed citations

5.

Valls, Aı̈da, et al.. (2015). A hierarchical multi-criteria sorting approach for recommender systems. Journal of Intelligent Information Systems. 46(2). 313–346. 21 indexed citations

6.

Borràs, Joan, Antonio Moreno, & Aı̈da Valls. (2014). Intelligent tourism recommender systems: A survey. Expert Systems with Applications. 41(16). 7370–7389. 325 indexed citations breakdown →

7.

Moreno, Antonio, et al.. (2012). SigTur/E-Destination: Ontology-based personalized recommendation of Tourism and Leisure Activities. Engineering Applications of Artificial Intelligence. 26(1). 633–651. 138 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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