Fidel Cacheda

1.7k total citations
58 papers, 991 citations indexed

About

Fidel Cacheda is a scholar working on Information Systems, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Fidel Cacheda has authored 58 papers receiving a total of 991 indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Information Systems, 27 papers in Computer Networks and Communications and 18 papers in Artificial Intelligence. Recurrent topics in Fidel Cacheda's work include Web Data Mining and Analysis (26 papers), Recommender Systems and Techniques (16 papers) and Caching and Content Delivery (14 papers). Fidel Cacheda is often cited by papers focused on Web Data Mining and Analysis (26 papers), Recommender Systems and Techniques (16 papers) and Caching and Content Delivery (14 papers). Fidel Cacheda collaborates with scholars based in Spain, United Kingdom and Italy. Fidel Cacheda's co-authors include Víctor Carneiro, Diego Fernández, Vreixo Formoso, Francisco J. Nóvoa, Manuel Álvarez, Iadh Ounis, Víctor M. Prieto, Vassilis Plachouras, Sérgio Matos and José Luís Oliveira and has published in prestigious journals such as PLoS ONE, IEEE Access and Sensors.

In The Last Decade

Fidel Cacheda

53 papers receiving 925 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Fidel Cacheda Spain 15 611 383 224 162 143 58 991
Víctor Carneiro Spain 11 435 0.7× 290 0.8× 167 0.7× 117 0.7× 123 0.9× 38 702
Nazli Goharian United States 17 315 0.5× 833 2.2× 78 0.3× 127 0.8× 80 0.6× 90 1.1k
Valentin Tablan United Kingdom 18 389 0.6× 1.0k 2.6× 71 0.3× 73 0.5× 74 0.5× 37 1.4k
Acar Tamersoy United States 16 194 0.3× 285 0.7× 142 0.6× 45 0.3× 124 0.9× 26 705
Huahai Yang United States 16 146 0.2× 397 1.0× 84 0.4× 117 0.7× 103 0.7× 31 757
Javier Parapar Spain 15 402 0.7× 385 1.0× 51 0.2× 75 0.5× 99 0.7× 67 632
Jonathan Gemmell United States 10 373 0.6× 274 0.7× 88 0.4× 57 0.4× 124 0.9× 27 581
Kasturi Dewi Varathan Malaysia 16 275 0.5× 665 1.7× 144 0.6× 208 1.3× 34 0.2× 34 1.3k
Georg Groh Germany 16 240 0.4× 369 1.0× 84 0.4× 70 0.4× 83 0.6× 96 850
David E. Losada Spain 17 261 0.4× 528 1.4× 38 0.2× 144 0.9× 55 0.4× 77 789

Countries citing papers authored by Fidel Cacheda

Since Specialization
Citations

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

Fields of papers citing papers by Fidel Cacheda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fidel Cacheda

This figure shows the co-authorship network connecting the top 25 collaborators of Fidel Cacheda. A scholar is included among the top collaborators of Fidel Cacheda 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 Fidel Cacheda. Fidel Cacheda 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.
Nóvoa, Francisco J., et al.. (2023). Site Agnostic Approach to Early Detection of Cyberbullying on Social Media Networks. Sensors. 23(10). 4788–4788. 3 indexed citations
2.
Cacheda, Fidel, Diego Fernández, Francisco J. Nóvoa, & Víctor Carneiro. (2019). Early Detection of Depression: Social Network Analysis and Random Forest Techniques. Journal of Medical Internet Research. 21(6). e12554–e12554. 128 indexed citations
3.
Fernández, Diego, Vreixo Formoso, Fidel Cacheda, & Víctor Carneiro. (2019). High Order Profile Expansion to tackle the new user problem on recommender systems. PLoS ONE. 14(11). e0224555–e0224555. 2 indexed citations
4.
Fernández, Diego, et al.. (2016). Using Collaborative Filtering in a new domain. Acceda (Universidad de Las Palmas de Gran Canaria). 1–8. 1 indexed citations
5.
Prieto, Víctor M., Manuel Álvarez, & Fidel Cacheda. (2014). Soft-404 Pages, A Crawling Problem. Journal of Digital Information Management. 12(2). 73–92. 1 indexed citations
6.
Prieto, Víctor M., Sérgio Matos, Manuel Álvarez, Fidel Cacheda, & José Luís Oliveira. (2014). Twitter: A Good Place to Detect Health Conditions. PLoS ONE. 9(1). e86191–e86191. 107 indexed citations
7.
Prieto, Víctor M., Manuel Álvarez, & Fidel Cacheda. (2013). SAAD, a content based Web Spam Analyzer and Detector. Journal of Systems and Software. 86(11). 2906–2918. 13 indexed citations
8.
Cacheda, Fidel, et al.. (2013). Detecting Linkedin Spammers and its Spam Nets. International Journal of Advanced Computer Science and Applications. 4(9). 3 indexed citations
9.
Cacheda, Fidel, et al.. (2011). Recuperación de información: un enfoque práctico y multidisciplinar. Dialnet (Universidad de la Rioja). 1 indexed citations
10.
Cacheda, Fidel, Víctor Carneiro, Diego Fernández, & Vreixo Formoso. (2010). Performance evaluation of large-scale Information Retrieval systems scaling down. International ACM SIGIR Conference on Research and Development in Information Retrieval. 36–39. 2 indexed citations
11.
Baraglia, Ranieri, Fidel Cacheda, Víctor Carneiro, et al.. (2009). Search shortcuts. ISTI Open Portal. 77–84. 17 indexed citations
12.
Cacheda, Fidel, et al.. (2008). Experiences on a Practical Course of Web Information Retrieval: Developing a Search Engine. Electronic workshops in computing. 4 indexed citations
13.
Cacheda, Fidel, et al.. (2006). Hybrid Architecture for Web Search Systems Based on Hierarchical Taxonomies. Journal of information science and engineering. 22(4). 863–887. 1 indexed citations
14.
Álvarez, Manuel, Juan Raposo, Fidel Cacheda, & Alberto Pan. (2006). A Task-specific Approach for Crawling the Deep Web.. Engineering letters. 13(4). 204–215. 8 indexed citations
15.
Cacheda, Fidel, Víctor Carneiro, Vassilis Plachouras, & Iadh Ounis. (2006). Performance analysis of distributed information retrieval architectures using an improved network simulation model. Information Processing & Management. 43(1). 204–224. 26 indexed citations
16.
Cacheda, Fidel, et al.. (2004). A new performance evaluation technique for web information retrieval systems. 20(22). 167–174. 1 indexed citations
17.
Plachouras, Vassilis, Iadh Ounis, & Fidel Cacheda. (2004). Selective combination of evidence for topic distillation using document and aggregate-level information. 610–622. 4 indexed citations
18.
Álvarez, Manuel, et al.. (2004). FINDER: a mediator system for structured and semi-structured data integration. 847–851. 3 indexed citations
19.
Plachouras, Vassilis, Iadh Ounis, Cornelis J. van Rijsbergen, & Fidel Cacheda. (2003). University of Glasgow at the Web Track: Dynamic Application of Hyperlink Analysis using the Query Scope.. Text REtrieval Conference. 646–652. 17 indexed citations
20.
Cacheda, Fidel, et al.. (2001). Understanding how people use search engines: a statistical analysis for e-Business. 6 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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