J. A. Rubio

2.2k total citations
2 papers, 7 citations indexed

About

J. A. Rubio is a scholar working on Health Informatics, Artificial Intelligence and Rheumatology. According to data from OpenAlex, J. A. Rubio has authored 2 papers receiving a total of 7 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Health Informatics, 1 paper in Artificial Intelligence and 1 paper in Rheumatology. Recurrent topics in J. A. Rubio's work include Rheumatoid Arthritis Research and Therapies (1 paper), COVID-19 diagnosis using AI (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). J. A. Rubio is often cited by papers focused on Rheumatoid Arthritis Research and Therapies (1 paper), COVID-19 diagnosis using AI (1 paper) and Artificial Intelligence in Healthcare and Education (1 paper). J. A. Rubio collaborates with scholars based in Finland, Spain and France. J. A. Rubio's co-authors include Miia Jansson, Ricard Gavaldà, Jordi Rello, Adriana Rojas‐Villarraga and P. Santos-Moreno and has published in prestigious journals such as JCR Journal of Clinical Rheumatology and Anaesthesia Critical Care & Pain Medicine.

In The Last Decade

J. A. Rubio

1 paper receiving 6 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
J. A. Rubio Finland	1	3	3	2	2	2	2	7
Malarkodi Jebathilagam Samayamuthu United States	2	2 0.7×	2 0.7×	1 0.5×	3 1.5×	2 1.0×	3	9
Khalid A Kheirallah Jordan	3	4 1.3×	4 1.3×		2 1.0×	4 2.0×	7	12
Xie Rachel Kulikoff United States	2	2 0.7×	4 1.3×			2 1.0×	2	7
Peter-Paul M. Willemse Netherlands	1	2 0.7×			2 1.0×	2 1.0×	2	2
Dominic LaBella United States	2		2 0.7×	2 1.0×		2 1.0×	6	5
Gulammehdi Haji United Kingdom	2		2 0.7×	2 1.0×		2 1.0×	3	4
Korosh Saber Iran	2		2 0.7×	2 1.0×		2 1.0×	5	7
Lisa Graf Germany	1		2 0.7×	2 1.0×			2	8
Dominic Vincent Ligot Philippines	2	3 1.0×			1 0.5×	2 1.0×	10	9
Kaile Neuschatz United States	2		3 1.0×	2 1.0×			2	3

Countries citing papers authored by J. A. Rubio

Since Specialization

Citations

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

Fields of papers citing papers by J. A. Rubio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. A. Rubio

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

All Works

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2 of 2 papers shown

1.

Rubio, J. A., et al.. (2021). Evaluation of a non-face to face multidisciplinary health care model in a population with rheumatoid arthritis vulnerable to covid-19 in a health emergency situation. JCR Journal of Clinical Rheumatology. 27.

2.

Jansson, Miia, J. A. Rubio, Ricard Gavaldà, & Jordi Rello. (2020). Artificial Intelligence for clinical decision support in Critical Care, required and accelerated by COVID-19. Anaesthesia Critical Care & Pain Medicine. 39(6). 691–693. 7 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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