Antonio Arbona
Impact in
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- Scientific Computing and Data Management
Papers in
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- Distributed and Parallel Computing Systems 4
- Distributed systems and fault tolerance 1
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- Scientific Computing and Data Management 4
- Co-authors
- Siegfried Benkner (5 shared papers)Gerhard Engelbrecht (4 shared papers)Martin Hofmann‐Apitius (4 shared papers)Guy Lonsdale (2 shared papers)Alejandro F. Frangi (4 shared papers)Kai Kumpf (2 shared papers)Jimison Iavindrasana (3 shared papers)Philippe Bijlenga (3 shared papers)
- Journals
- Computer Methods and Programs in Biomedicine (1 paper)IEEE Transactions on NanoBioscience (1 paper)PubMed (3 papers)Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) (1 paper)
In The Last Decade
Antonio Arbona
6 papers receiving 66 citations
Peers
Comparison fields: 5 of 29
- Information Systems and Management 20
- Health Informatics 3
- Neurology 21
- Health Information Management 6
- Hardware and Architecture 5
Countries citing papers authored by Antonio Arbona
This map shows the geographic impact of Antonio Arbona'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 Antonio Arbona with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Arbona more than expected).
Fields of papers citing papers by Antonio Arbona
This network shows the impact of papers produced by Antonio Arbona. 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 Antonio Arbona. The network helps show where Antonio Arbona may publish in the future.
Co-authors
The 25 scholars most cited alongside Antonio Arbona, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2007 | 20 | |
| 2 | 2008 | 17 | |
| 3 | @neurIST - chronic disease management through integration of heterogeneous data and computer-interpretable guideline services. | 2008 | 14 |
| 4 | The @neurIST project. | 2008 | 11 |
| 5 | 2013 | 7 | |
| 6 | Outlook for grid service technologies within the @neurIST eHealth environment. | 2006 | 5 |
About Antonio Arbona
Antonio Arbona is a scholar working on Computer Networks and Communications, Information Systems and Management, Molecular Biology, Health Information Management and Information Systems, having authored 6 papers that have together received 74 indexed citations. Recurring topics across this work include Scientific Computing and Data Management (4 papers), Distributed and Parallel Computing Systems (4 papers), Electronic Health Records Systems (1 paper), Medical Image Segmentation Techniques (1 paper), Biomedical Text Mining and Ontologies (1 paper), Distributed systems and fault tolerance (1 paper), Medical Imaging Techniques and Applications (1 paper) and Service-Oriented Architecture and Web Services (1 paper). The work is most often cited by research in Information Systems and Management (20 citations), Health Informatics (3 citations), Neurology (21 citations), Health Information Management (6 citations) and Hardware and Architecture (5 citations). Antonio Arbona has collaborated with scholars based in Spain, Austria and Germany. Frequent co-authors include Siegfried Benkner, Gerhard Engelbrecht, Martin Hofmann‐Apitius, Guy Lonsdale, Alejandro F. Frangi, Kai Kumpf, Jimison Iavindrasana, Philippe Bijlenga, Alessandro Chiarini and Luigi Lo Iacono. Their work appears in journals such as Computer Methods and Programs in Biomedicine, IEEE Transactions on NanoBioscience, PubMed and Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft).
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.