José Palma

1.3k total citations
58 papers, 649 citations indexed

About

José Palma is a scholar working on Artificial Intelligence, Computer Networks and Communications and Information Systems. According to data from OpenAlex, José Palma has authored 58 papers receiving a total of 649 indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Artificial Intelligence, 15 papers in Computer Networks and Communications and 10 papers in Information Systems. Recurrent topics in José Palma's work include Semantic Web and Ontologies (16 papers), AI-based Problem Solving and Planning (14 papers) and Constraint Satisfaction and Optimization (11 papers). José Palma is often cited by papers focused on Semantic Web and Ontologies (16 papers), AI-based Problem Solving and Planning (14 papers) and Constraint Satisfaction and Optimization (11 papers). José Palma collaborates with scholars based in Spain, Italy and Mexico. José Palma's co-authors include Fernando Jiménez, José M. Juárez, R. Marı́n, Juan A. Botía, Guido Sciavicco, Gracia Sánchez, Manuel Campos, Joanna Kamińska, David Hervás and Fátima Pérez de Heredia and has published in prestigious journals such as Scientific Reports, Expert Systems with Applications and IEEE Access.

In The Last Decade

José Palma

52 papers receiving 611 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
José Palma Spain 15 275 114 104 75 62 58 649
Silvia Chiusano Italy 17 262 1.0× 45 0.4× 237 2.3× 112 1.5× 50 0.8× 89 872
Adamu Abubakar Malaysia 14 246 0.9× 95 0.8× 183 1.8× 154 2.1× 38 0.6× 99 792
Ala Abdulsalam Alarood Saudi Arabia 15 155 0.6× 100 0.9× 88 0.8× 69 0.9× 25 0.4× 43 595
Juan Boubeta‐Puig Spain 18 190 0.7× 115 1.0× 281 2.7× 449 6.0× 57 0.9× 52 810
M. Dolores Ruiz Spain 14 277 1.0× 36 0.3× 234 2.3× 44 0.6× 55 0.9× 45 726
John MacIntyre United Kingdom 13 267 1.0× 55 0.5× 39 0.4× 33 0.4× 29 0.5× 57 556
B. Santhosh Kumar India 14 440 1.6× 61 0.5× 105 1.0× 65 0.9× 17 0.3× 62 943
Ramzan Talib Pakistan 8 286 1.0× 116 1.0× 141 1.4× 77 1.0× 15 0.2× 26 667
Ildar Batyrshin Mexico 16 377 1.4× 46 0.4× 108 1.0× 36 0.5× 18 0.3× 123 854
Guadalupe Ortiz Spain 17 261 0.9× 119 1.0× 334 3.2× 419 5.6× 51 0.8× 68 802

Countries citing papers authored by José Palma

Since Specialization
Citations

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

Fields of papers citing papers by José Palma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of José Palma

This figure shows the co-authorship network connecting the top 25 collaborators of José Palma. A scholar is included among the top collaborators of José Palma 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 José Palma. José Palma 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.
Reina, Gabriel, et al.. (2025). Identifying risk factors and predicting long COVID in a Spanish cohort. Scientific Reports. 15(1). 10758–10758.
2.
Sánchez, Gracia, et al.. (2025). Multi-objective evolutionary feature selection for ensemble learning with random forests in time series forecasting. Swarm and Evolutionary Computation. 99. 102211–102211.
3.
Jiménez, Fernando, et al.. (2024). Surrogate-assisted multi-objective evolutionary feature selection of generation-based fixed evolution control for time series forecasting with LSTM networks. Swarm and Evolutionary Computation. 88. 101587–101587. 6 indexed citations
4.
Pérez, Enrique, Fernando Jiménez, Gabriel Reina, et al.. (2022). A predictive model for hospitalization and survival to COVID-19 in a retrospective population-based study. Scientific Reports. 12(1). 18126–18126. 15 indexed citations
5.
Palma, José, et al.. (2021). A time series forecasting based multi-criteria methodology for air quality prediction. Applied Soft Computing. 113. 107850–107850. 56 indexed citations
6.
Jiménez, Fernando, Gracia Sánchez, José Palma, & Guido Sciavicco. (2021). Three-objective constrained evolutionary instance selection for classification: Wrapper and filter approaches. Engineering Applications of Artificial Intelligence. 107. 104531–104531. 7 indexed citations
7.
Jiménez, Fernando, et al.. (2020). Feature selection based multivariate time series forecasting: An application to antibiotic resistance outbreaks prediction. Artificial Intelligence in Medicine. 104. 101818–101818. 39 indexed citations
8.
Jiménez, Fernando, et al.. (2019). Multiobjective Evolutionary Feature Selection for Fuzzy Classification. IEEE Transactions on Fuzzy Systems. 27(5). 1085–1099. 55 indexed citations
9.
Nalepa, Grzegorz J., José Palma, & María Trinidad Herrero. (2018). Affective computing in ambient intelligence systems. Future Generation Computer Systems. 92. 454–457. 4 indexed citations
10.
Cano, Isabel María Del Águila, et al.. (2016). Development of a web tool for action threshold evaluation in table grape pest management. Precision Agriculture. 18(6). 974–996. 4 indexed citations
11.
Juárez, José M., et al.. (2011). Case Selection Evaluation Methodology.. 17–29. 1 indexed citations
12.
Uhomoibhi, James, José Palma, Y. Epelboin, et al.. (2010). E-learning development tendencies in higher education and future directions. Biblioteca Digital do IPB (Instituto Politecnico De Braganca). 1 indexed citations
13.
Juárez, José M., et al.. (2007). Case representation ontology for case retrieval systems in medical domains. 168–173. 6 indexed citations
14.
Cano, Isabel María Del Águila, et al.. (2006). Towards a Methodology for Hybrid Systems Software Development.. Software Engineering and Knowledge Engineering. 188–193. 2 indexed citations
15.
Palma, José, et al.. (2006). ORGANIZATIONAL KNOWLEDGE MODEL: A KNOWLEDGE MANAGEMENT WITH SEMANTIC WEB APPROACH. 1 indexed citations
16.
Palma, José, José M. Juárez, Manuel Campos, & R. Marı́n. (2006). Fuzzy theory approach for temporal model-based diagnosis: An application to medical domains. Artificial Intelligence in Medicine. 38(2). 197–218. 28 indexed citations
17.
Palma, José, et al.. (2006). KNOWLEDGE AUDIT METHODOLOGY WITH EMPHASIS ON CORE PROCESSES. Journal of Paediatrics and Child Health. 49(3). E232–4. 22 indexed citations
18.
Palma, José, José M. Juárez, Manuel Campos, & R. Marı́n. (2004). A fuzzy approach to temporal model-based diagnosis for Intensive Care Units. European Conference on Artificial Intelligence. 868–872. 4 indexed citations
19.
Pérez‐Llamas, Francisca, Marta Garaulet, Francisco Sanz, et al.. (2004). Una aplicación informática multivalente para estudios del estado nutricional de grupos de población: Valoración de la ingesta alimentaria. Nutrición Hospitalaria. 19(3). 160–166. 28 indexed citations
20.
Palma, José & R. Marı́n. (2002). Modelling contextual meta-knowledge in temporal model based diagnosis. European Conference on Artificial Intelligence. 407–411. 4 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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