Rosa Ayala

559 total citations
26 papers, 384 citations indexed

About

Rosa Ayala is a scholar working on Ecology, Computer Networks and Communications and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Rosa Ayala has authored 26 papers receiving a total of 384 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Ecology, 8 papers in Computer Networks and Communications and 7 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Rosa Ayala's work include Avian ecology and behavior (7 papers), Animal Behavior and Reproduction (6 papers) and Service-Oriented Architecture and Web Services (5 papers). Rosa Ayala is often cited by papers focused on Avian ecology and behavior (7 papers), Animal Behavior and Reproduction (6 papers) and Service-Oriented Architecture and Web Services (5 papers). Rosa Ayala collaborates with scholars based in Spain, Italy and United States. Rosa Ayala's co-authors include Nicola Saino, Roberta Martinelli, José A. Piedra-Fernández, Luís Iribarne, Cecilia Anselmi, Anders Pape Møller, Giuseppe Boncoraglio, María de las Mercedes Capobianco-Uriarte, Javier Criado and James Z. Wang and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Oecologia and Energy Conversion and Management.

In The Last Decade

Rosa Ayala

26 papers receiving 372 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rosa Ayala Spain 11 180 172 49 47 46 26 384
William Conner United States 9 38 0.2× 80 0.5× 13 0.3× 73 1.6× 55 1.2× 14 323
Tony Fountain United States 11 80 0.4× 223 1.3× 4 0.1× 44 0.9× 60 1.3× 28 563
László Czúni Hungary 11 44 0.2× 50 0.3× 9 0.2× 31 0.7× 52 1.1× 52 363
Mohd Amrallah Mustafa Malaysia 6 74 0.4× 105 0.6× 4 0.1× 41 0.9× 20 0.4× 22 396
Kim Bjerge Denmark 12 240 1.3× 195 1.1× 4 0.1× 38 0.8× 30 0.7× 25 850
Cheng‐Ming Huang Taiwan 10 82 0.5× 106 0.6× 2 0.0× 33 0.7× 42 0.9× 63 482
Jérôme Legrand France 16 74 0.4× 387 2.3× 27 0.6× 60 1.3× 81 1.8× 23 744
Christopher Town United Kingdom 12 83 0.5× 90 0.5× 14 0.3× 15 0.3× 86 1.9× 25 512
César L. Alonso Spain 13 94 0.5× 287 1.7× 10 0.2× 63 1.3× 45 1.0× 27 493
Nicolas Huin France 16 183 1.0× 529 3.1× 32 0.7× 202 4.3× 28 0.6× 35 975

Countries citing papers authored by Rosa Ayala

Since Specialization
Citations

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

Fields of papers citing papers by Rosa Ayala

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rosa Ayala

This figure shows the co-authorship network connecting the top 25 collaborators of Rosa Ayala. A scholar is included among the top collaborators of Rosa Ayala 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 Rosa Ayala. Rosa Ayala 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.
Piedra-Fernández, José A., et al.. (2025). Modeling Temperature in the Ecuadorian Paramo Through Deep Learning. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 18. 6060–6069. 1 indexed citations
2.
Criado, Javier, et al.. (2023). A deep learning model for natural language querying in Cyber–Physical Systems. Internet of Things. 24. 100922–100922. 2 indexed citations
3.
Criado, Javier, et al.. (2023). SI4IoT: A methodology based on models and services for the integration of IoT systems. Future Generation Computer Systems. 143. 132–151. 7 indexed citations
4.
Capobianco-Uriarte, María de las Mercedes, et al.. (2023). Review of artificial intelligence techniques in green/smart buildings. Sustainable Computing Informatics and Systems. 38. 100861–100861. 31 indexed citations
5.
Criado, Javier, et al.. (2022). Si4iot: A Methodology Based on Models and Services for the Integration of Iot Systems. SSRN Electronic Journal. 2 indexed citations
6.
Capobianco-Uriarte, María de las Mercedes, et al.. (2022). A Survey on Intelligent Gesture Recognition Techniques. IEEE Access. 10. 87135–87156. 18 indexed citations
7.
Piedra-Fernández, José A., et al.. (2022). Deep learning for land use and land cover classification from the Ecuadorian Paramo.. International Journal of Digital Earth. 15(1). 1001–1017. 24 indexed citations
8.
Criado, Javier, et al.. (2020). A model-driven engineering approach for the service integration of IoT systems. Cluster Computing. 23(3). 1937–1954. 10 indexed citations
9.
Piedra-Fernández, José A., et al.. (2019). Microservices and Machine Learning Algorithms for Adaptive Green Buildings. Sustainability. 11(16). 4320–4320. 5 indexed citations
10.
Piedra-Fernández, José A., et al.. (2016). Simulating rainfall, water evaporation and groundwater flow in three-dimensional satellite images with cellular automata. Simulation Modelling Practice and Theory. 67. 89–99. 5 indexed citations
11.
Iribarne, Luís, et al.. (2014). OntoTrader: An Ontological Web Trading Agent Approach for Environmental Information Retrieval. The Scientific World JOURNAL. 2014. 1–25. 2 indexed citations
12.
Cuervo, José Javier & Rosa Ayala. (2014). Effects of experimental tail shortening on the phenotypic condition of barn swallows Hirundo rustica : implications for tail‐length evolution. Journal of Avian Biology. 45(4). 345–353. 6 indexed citations
13.
Slagsvold, Tore, et al.. (2013). Postfledging movements in birds: Do tit families track environmental phenology?. The Auk. 130(1). 36–45. 10 indexed citations
15.
Iribarne, Luís, et al.. (2010). A Model Transformation Approach for Automatic Composition of COTS User Interfaces in Web-Based Information Systems. Information Systems Management. 27(3). 207–216. 8 indexed citations
16.
Saino, Nicola, Rosa Ayala, Roberta Martinelli, & Giuseppe Boncoraglio. (2008). Male-biased brood sex ratio depresses average phenotypic quality of barn swallow nestlings under experimentally harsh conditions. Oecologia. 156(2). 441–453. 22 indexed citations
17.
Saino, Nicola, Rosa Ayala, Giuseppe Boncoraglio, & Roberta Martinelli. (2007). Sex difference in mouth coloration and begging calls of barn swallow nestlings. Animal Behaviour. 75(4). 1375–1382. 23 indexed citations
18.
Ayala, Rosa, Roberta Martinelli, & Nicola Saino. (2006). Vitamin E supplementation enhances growth and condition of nestling barn swallows (Hirundo rustica). Behavioral Ecology and Sociobiology. 60(5). 619–630. 75 indexed citations
19.
Ayala, Rosa & Massimo Menenti. (2003). Evaluation methodology for classification process of digital images. 6. 3363–3365. 1 indexed citations
20.
Ayala, Rosa, et al.. (1999). Expansión del rango de la Paloma Coroniblanca Columba leucocephala al territorio continental de Colombia. Caldasia. 21(1). 112–113. 1 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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