Manuel Campos

1.7k total citations
59 papers, 866 citations indexed

About

Manuel Campos is a scholar working on Artificial Intelligence, Computer Networks and Communications and Health Information Management. According to data from OpenAlex, Manuel Campos has authored 59 papers receiving a total of 866 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 10 papers in Computer Networks and Communications and 9 papers in Health Information Management. Recurrent topics in Manuel Campos's work include Semantic Web and Ontologies (15 papers), AI-based Problem Solving and Planning (9 papers) and Circadian rhythm and melatonin (9 papers). Manuel Campos is often cited by papers focused on Semantic Web and Ontologies (15 papers), AI-based Problem Solving and Planning (9 papers) and Circadian rhythm and melatonin (9 papers). Manuel Campos collaborates with scholars based in Spain, United States and Italy. Manuel Campos's co-authors include Juan Antonio Madrid, María Ángeles Rol, José M. Juárez, Antonio Martínez-Nicolás, Elisabet Ortiz‐Tudela, Matthew P. Walker, Laura D. Straus, Sean P. A. Drummond, Erin Almklov and R. Marı́n and has published in prestigious journals such as Journal of Neurophysiology, Scientific Reports and Expert Systems with Applications.

In The Last Decade

Manuel Campos

52 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Campos Spain 16 305 279 264 121 118 59 866
Shiqiang Tao United States 10 230 0.8× 408 1.5× 88 0.3× 176 1.5× 296 2.5× 37 860
Catherine Jayapandian United States 8 92 0.3× 136 0.5× 53 0.2× 84 0.7× 118 1.0× 11 417
Matthew Kim United States 16 293 1.0× 419 1.5× 177 0.7× 58 0.5× 526 4.5× 47 1.4k
Remo Mueller United States 5 285 0.9× 410 1.5× 141 0.5× 77 0.6× 378 3.2× 8 823
Kerstin Ritter Germany 16 60 0.2× 271 1.0× 42 0.2× 197 1.6× 102 0.9× 41 943
Licong Cui United States 14 321 1.1× 547 2.0× 141 0.5× 560 4.6× 414 3.5× 102 1.6k
João Palotti Austria 12 159 0.5× 143 0.5× 33 0.1× 148 1.2× 120 1.0× 32 599
Faijan Akhtar China 20 217 0.7× 202 0.7× 16 0.1× 210 1.7× 71 0.6× 57 1.1k
Athina Tzovara Switzerland 21 173 0.6× 741 2.7× 17 0.1× 132 1.1× 36 0.3× 62 1.5k
Shahriar Gharibzadeh Iran 18 40 0.1× 317 1.1× 30 0.1× 128 1.1× 110 0.9× 145 1.1k

Countries citing papers authored by Manuel Campos

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Campos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Campos

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Campos. A scholar is included among the top collaborators of Manuel Campos 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 Manuel Campos. Manuel Campos 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.
Campos, Manuel, et al.. (2024). Surprising and novel multivariate sequential patterns using odds ratio for temporal evolution in healthcare. BMC Medical Informatics and Decision Making. 24(1). 165–165.
2.
Juárez, José M., et al.. (2024). Subgroups: A Python library for Subgroup Discovery. SoftwareX. 28. 101895–101895.
3.
Campos, Manuel, et al.. (2024). Spatiotemporal Data Modelling for Epidemiological Research in Hospitals. IEEE Journal of Biomedical and Health Informatics. 28(10). 6280–6291.
4.
5.
6.
Juárez, José M., et al.. (2023). VLSD—An Efficient Subgroup Discovery Algorithm Based on Equivalence Classes and Optimistic Estimate. Algorithms. 16(6). 274–274. 1 indexed citations
7.
Morales, Antonio, et al.. (2023). Meaningful time-related aspects of alerts in Clinical Decision Support Systems. A unified framework. Journal of Biomedical Informatics. 143. 104397–104397.
8.
Jimeno‐Almazán, Amaya, et al.. (2023). Spatial-temporal simulation for hospital infection spread and outbreaks of Clostridioides difficile. Scientific Reports. 13(1). 20022–20022. 2 indexed citations
9.
Torrente, María, Pedro Sousa, Virginia Calvo, et al.. (2022). An Artificial Intelligence-Based Tool for Data Analysis and Prognosis in Cancer Patients: Results from the Clarify Study. Cancers. 14(16). 4041–4041. 25 indexed citations
10.
Pagán, Pedro, María Torrente, Manuel Campos, et al.. (2022). Chronodisruption and Ambulatory Circadian Monitoring in Cancer Patients: Beyond the Body Clock. Current Oncology Reports. 24(2). 135–149. 9 indexed citations
11.
Bonmatí‐Carrión, María‐Ángeles, et al.. (2022). Living at the Wrong Time: Effects of Unmatching Official Time in Portugal and Western Spain. Biology. 11(8). 1130–1130. 3 indexed citations
12.
13.
Juárez, José M., et al.. (2021). A methodology based on Trace-based clustering for patient phenotyping. Knowledge-Based Systems. 232. 107469–107469. 5 indexed citations
14.
Campos, Manuel, Fernando Jiménez, Gracia Sánchez, et al.. (2019). A methodology based on multiple criteria decision analysis for combining antibiotics in empirical therapy. Artificial Intelligence in Medicine. 102. 101751–101751. 4 indexed citations
15.
Puertas, Francisco Javier, et al.. (2019). Validation of a Device for the Ambulatory Monitoring of Sleep Patterns: A Pilot Study on Parkinson's Disease. Frontiers in Neurology. 10. 356–356. 32 indexed citations
16.
Juárez, José M., et al.. (2015). Spatiotemporal data visualisation for homecare monitoring of elderly people. Artificial Intelligence in Medicine. 65(2). 97–111. 16 indexed citations
17.
Ortiz‐Tudela, Elisabet, et al.. (2014). Ambulatory Circadian Monitoring (ACM) based on Thermometry, motor Activity and body Position (TAP): A comparison with polysomnography. Physiology & Behavior. 126. 30–38. 49 indexed citations
18.
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
19.
Campos, Manuel, et al.. (2005). Supplementary Motor Area Encodes Reward Expectancy in Eye-Movement Tasks. Journal of Neurophysiology. 94(2). 1325–1335. 43 indexed citations
20.
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

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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