Countries citing papers authored by Cristina Cachero
Since
Specialization
Citations
This map shows the geographic impact of Cristina Cachero'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 Cristina Cachero with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Cristina Cachero more than expected).
Fields of papers citing papers by Cristina Cachero
This network shows the impact of papers produced by Cristina Cachero. 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 Cristina Cachero. The network helps show where Cristina Cachero may publish in the future.
Co-authorship network of co-authors of Cristina Cachero
This figure shows the co-authorship network connecting the top 25 collaborators of Cristina Cachero.
A scholar is included among the top collaborators of Cristina Cachero 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 Cristina Cachero. Cristina Cachero is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Sepúlveda, Samuel, et al.. (2012). UMAM-Q: An instrument to assess the intention to use software development methodologies. Iberian Conference on Information Systems and Technologies. 1–6.3 indexed citations
10.
Sepúlveda, Samuel, Carlos Cares, & Cristina Cachero. (2012). Feature modeling languages: Denotations and semantic differences. Iberian Conference on Information Systems and Technologies. 1–6.4 indexed citations
11.
Sepúlveda, Samuel, Carlos Cares, & Cristina Cachero. (2012). Towards a unified feature metamodel: A systematic comparison of feature languages. Iberian Conference on Information Systems and Technologies. 1–7.11 indexed citations
12.
Abrahão, Silvia, Cristina Cachero, & Maristella Matera. (2008). Web usability and accessibility. Journal of Web Engineering. 7(4). 257–257.2 indexed citations
13.
Cachero, Cristina, Geert Poels, & Coral Calero. (2007). Towards a Quality-Aware Web Engineering Process. Ghent University Academic Bibliography (Ghent University). 7–16.3 indexed citations
14.
Vallecillo, Antonio, Nora Koch, Cristina Cachero, et al.. (2007). MDWEnet: A Practical Approach to Achieving Interoperability of Model-Driven Web Engineering Methods. RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante). 261. 1–10.16 indexed citations
15.
Cachero, Cristina, et al.. (2006). Introducción a la programación orientada a objetos. Dialnet (Universidad de la Rioja).1 indexed citations
16.
Koch, Nora, Andreas Kraus, Cristina Cachero, & Santiago Meliá. (2004). Integration of business processes in web application models. Journal of Web Engineering. 3(1). 22–49.51 indexed citations
17.
Garrigós, Irene, Jaime Gómez, & Cristina Cachero. (2003). Modelling adaptive web applications. RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante). 12(10). 813–816.1 indexed citations
18.
Cachero, Cristina & Jaime Gómez. (2002). Advanced Conceptual Modeling of Web Applications: Embedding Operation Interfaces in Navigation Design.. 235–248.13 indexed citations
19.
Cachero, Cristina, Irene Garrigós, & Jaime Gómez. (2002). Personalización de aplicaciones en OO-H. RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante).
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.