Juan A. Botía

10.8k total citations
94 papers, 1.5k citations indexed

About

Juan A. Botía is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Juan A. Botía has authored 94 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Artificial Intelligence, 25 papers in Computer Vision and Pattern Recognition and 20 papers in Computer Networks and Communications. Recurrent topics in Juan A. Botía's work include Context-Aware Activity Recognition Systems (23 papers), Multi-Agent Systems and Negotiation (15 papers) and Service-Oriented Architecture and Web Services (13 papers). Juan A. Botía is often cited by papers focused on Context-Aware Activity Recognition Systems (23 papers), Multi-Agent Systems and Negotiation (15 papers) and Service-Oriented Architecture and Web Services (13 papers). Juan A. Botía collaborates with scholars based in Spain, United Kingdom and United States. Juan A. Botía's co-authors include Emilio Serrano, Mina Ryten, John Hardy, Antonio Skármeta, Sebastian Guelfi, José Palma, Jana Vandrovcová, Michael E. Weale, Andrés Muñoz and Paola Forabosco and has published in prestigious journals such as Nucleic Acids Research, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Juan A. Botía

89 papers receiving 1.5k citations

Peers

Juan A. Botía

NEURO

CVPR

CNC

Pramod Kumar Mishra India

Md. Razaul Karim Bangladesh

Chen‐Chi Wu Taiwan

Xiaofen Wang China

Sudipta Roy India

Fei Zhu China

Ahmet Saçan United States

Yong Xie China

Ting Liu China

Kevin J. Lynch United States

Pramod Kumar Mishra India

Juan A. Botía

137 ×0.3

163 ×0.5

NEURO

206 ×0.8

CVPR

304 ×1.4

325 ×1.6

CNC

Citations per year, relative to Juan A. Botía Juan A. Botía (= 1×) peers Pramod Kumar Mishra

Countries citing papers authored by Juan A. Botía

Since Specialization

Citations

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

Fields of papers citing papers by Juan A. Botía

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan A. Botía. 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 Juan A. Botía. The network helps show where Juan A. Botía may publish in the future.

Co-authorship network of co-authors of Juan A. Botía

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

All Works

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20 of 20 papers shown

García-Ruiz, Sonia, David Zhang, Emil K. Gustavsson, et al.. (2025). Splicing accuracy varies across human introns, tissues, age and disease. Nature Communications. 16(1). 1068–1068. 1 indexed citations

Graham, Andrew, Eftychia Bellou, Janet Harwood, et al.. (2025). Human longevity and Alzheimer’s disease variants act via microglia and oligodendrocyte gene networks. Brain. 148(3). 969–984. 2 indexed citations

Beric, Aleksandra, Yi-Chen Sun, Santiago Sánchez-Vicente, et al.. (2024). Circulating blood circular RNA in Parkinson’s Disease; from involvement in pathology to diagnostic tools in at-risk individuals. npj Parkinson s Disease. 10(1). 222–222. 2 indexed citations

Bustos, Bernabé I., Sara Bandrés‐Ciga, Thiago Peixoto Leal, et al.. (2024). Genome-wide epistasis analysis reveals significant epistatic signals associated with Parkinson’s disease risk. Brain. 148(6). 2060–2074. 1 indexed citations

Beric, Aleksandra, Muhammad Ali, María Victoria Fernández, et al.. (2023). Cell-free RNA signatures predict Alzheimer’s disease. iScience. 26(12). 108534–108534. 3 indexed citations

Reynolds, Regina H., Benjamin O’Callaghan, Sonia García-Ruiz, et al.. (2023). The non-specific lethal complex regulates genes and pathways genetically linked to Parkinson’s disease. Brain. 146(12). 4974–4987. 2 indexed citations

González-Vidal, Aurora, Jordí Ortiz, Zhongbo Chen, et al.. (2022). PhenoExam: gene set analyses through integration of different phenotype databases. BMC Bioinformatics. 23(1). 567–567. 1 indexed citations

Sánchez, Juan A., Sonia García-Ruiz, Regina H. Reynolds, et al.. (2021). Modeling multifunctionality of genes with secondary gene co-expression networks in human brain provides novel disease insights. Bioinformatics. 37(18). 2905–2911. 3 indexed citations

Graham, Andrew, Thomas M. Piers, Maryam Shoai, et al.. (2021). A genetic link between risk for Alzheimer's disease and severe COVID-19 outcomes via the OAS1 gene. Brain. 144(12). 3727–3741. 75 indexed citations

10.

Liu, Wenfei, Rui Wang, Sevinç Bayram, et al.. (2020). Trem2 promotes anti-inflammatory responses in microglia and is suppressed under pro-inflammatory conditions. Human Molecular Genetics. 29(19). 3224–3248. 122 indexed citations

11.

Zhang, David, Sebastian Guelfi, Sonia García-Ruiz, et al.. (2020). Incomplete annotation has a disproportionate impact on our understanding of Mendelian and complex neurogenetic disorders. Science Advances. 6(24). 26 indexed citations

12.

Botía, Juan A., Jana Vandrovcová, Paola Forabosco, et al.. (2017). An additional k-means clustering step improves the biological features of WGCNA gene co-expression networks. BMC Systems Biology. 11(1). 47–47. 186 indexed citations

13.

Serrano, Emilio, Michael Rovatsos, & Juan A. Botía. (2012). A qualitative reputation system for multiagent systems with protocol-based communication. Adaptive Agents and Multi-Agents Systems. 307–314. 9 indexed citations

14.

Botía, Juan A., et al.. (2012). Hybrid multi-agent system simulations: Cognitive and social agents. Federated Conference on Computer Science and Information Systems. 1231–1238. 3 indexed citations

15.

Calero, José M. Alcaraz, Andrés Muñoz, Gregorio Martínez Pérez, Juan A. Botía, & Antonio Skármeta. (2012). A non-monotonic expressiveness extension on the semantic web rule language. Journal of Web Engineering. 11(2). 93–118. 8 indexed citations

16.

Serrano, José, Michael Rovatsos, & Juan A. Botía. (2011). Mining qualitative context models from multiagent interactions. Adaptive Agents and Multi-Agents Systems. 1215–1216. 3 indexed citations

17.

Botía, Juan A., et al.. (2006). Information and Hybrid Architecture Model of the OCP Contextual Information Management System. JUCS - Journal of Universal Computer Science. 12. 357–366. 22 indexed citations

18.

Botía, Juan A., et al.. (2005). Towards and approach for debugging multi-agent systems through the analysis of agent messages.. Computer Systems: Science & Engineering. 20. 3 indexed citations

19.

Botía, Juan A., et al.. (2004). METALA: a J2EE technology based framework for web mining. SHILAP Revista de lepidopterología. 3 indexed citations

20.

Botía, Juan A., et al.. (2004). ACLAnalyser: a tool for debugging multi-agent system. European Conference on Artificial Intelligence. 967–968. 9 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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