Carlos Fernández-Llatas
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- Business Process Modeling and Analysis 32
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- Artificial Intelligence in Healthcare 5
- Health Informatics top 10%
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- Data Quality and Management 7
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- Semantic Web and Ontologies 16
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- Service-Oriented Architecture and Web Services 14
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- Mobile Health and mHealth Applications 7
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- Clinical practice guidelines implementation 6
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- Context-Aware Activity Recognition Systems 6
Carlos Fernández-Llatas
82 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 165
- Management Information Systems 426
- Health Information Management 75
- Health Informatics 20
- Management Science and Operations Research 179
- Management of Technology and Innovation 86
Countries citing papers authored by Carlos Fernández-Llatas
This map shows the geographic impact of Carlos Fernández-Llatas'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 Carlos Fernández-Llatas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Carlos Fernández-Llatas more than expected).
Fields of papers citing papers by Carlos Fernández-Llatas
This network shows the impact of papers produced by Carlos Fernández-Llatas. 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 Carlos Fernández-Llatas. The network helps show where Carlos Fernández-Llatas may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Carlos Fernández-Llatas, 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 | 2025 | 2 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 16 | |
| 4 | 2023 | 11 | |
| 5 | 2023 | 3 | |
| 6 | 2020 | 7 | |
| 7 | Process-Centric Customer Analytics: Understanding Visit Purposes of Predicted Age Groups with Discovered Paths. | 2020 | 1 |
| 8 | 2020 | 2 | |
| 9 | 2020 | 36 | |
| 10 | 2018 | 37 | |
| 11 | 2018 | 35 | |
| 12 | 2018 | 35 | |
| 13 | PALIA-ER: Bringing Question-Driven Process Mining Closer to the Emergency Room. | 2017 | 5 |
| 14 | 2014 | 2 | |
| 15 | 2014 | 30 | |
| 16 | 2011 | 7 | |
| 17 | Semantic Process Choreography for Distributed Sensor Management. | 2010 | 5 |
| 18 | Care-Paths: Searching the way to implement pathways | 2006 | 7 |
| 19 | Performance assessment of morphological dynamic link architecture under optimal and real operating conditions. | 1999 | 1 |
| 20 | A new modified version of the training system for diagnosing | 1999 | 1 |
About Carlos Fernández-Llatas
Carlos Fernández-Llatas is a scholar working on Management Information Systems, Health Information Management and Information Systems, having authored 90 papers that have together received 1.5k indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (32 papers), Semantic Web and Ontologies (16 papers), Service-Oriented Architecture and Web Services (14 papers), Mobile Health and mHealth Applications (7 papers), Data Quality and Management (7 papers), Clinical practice guidelines implementation (6 papers), Context-Aware Activity Recognition Systems (6 papers) and Artificial Intelligence in Healthcare (5 papers). The work is most often cited by research in Management Information Systems (426 citations), Health Information Management (75 citations) and Health Informatics (20 citations). Carlos Fernández-Llatas has collaborated with scholars based in Spain, Italy and Sweden. Frequent co-authors include Vicente Traver, Antonio Martínez-Millana, José-Miguel Benedí, Randi Karlsen, Juan M. García‐Gómez, Jorge Muñoz-Gama, L. Nelsen, R. T. Mahoney, A. Krattiger and A. B. Bennett. Their work appears in journals such as PLoS ONE, Scientific Reports and European Heart Journal.
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.