Daniel Capurro
- Health Informatics top 2%
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- Business Process Modeling and Analysis 13
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- Electronic Health Records Systems 9
- Medical Coding and Health Information 6
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- Data Quality and Management 6
- Health top 10%
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- Machine Learning in Healthcare 11
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- Telemedicine and Telehealth Implementation 8
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- Mobile Health and mHealth Applications 7
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- Biomedical Text Mining and Ontologies 5
- Co-authors
- Marcos SepúlvedaEric RojasJorge Muñoz-GamaAnne M. TurnerGabriel RadaJonathan JoeKatrin KirchhoffLuz María Letelier S
- Journals
- Journal of Biomedical Informatics (7 papers)Journal of Medical Internet Research (5 papers)International Journal of Environmental Research and Public Health (3 papers)
- Partner nations
- AustraliaChileUnited States
In The Last Decade
Daniel Capurro
67 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 145
- Health Informatics 68
- Management Information Systems 438
- Health Information Management 178
- Management Science and Operations Research 194
- Health 106
Countries citing papers authored by Daniel Capurro
This map shows the geographic impact of Daniel Capurro'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 Daniel Capurro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Capurro more than expected).
Fields of papers citing papers by Daniel Capurro
This network shows the impact of papers produced by Daniel Capurro. 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 Daniel Capurro. The network helps show where Daniel Capurro may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniel Capurro, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 1 | |
| 7 | 2023 | 8 | |
| 8 | 2022 | 46 | |
| 9 | 2022 | 7 | |
| 10 | 2020 | 29 | |
| 11 | 2020 | 2 | |
| 12 | 2020 | 47 | |
| 13 | 2018 | 13 | |
| 14 | 2018 | 35 | |
| 15 | PALIA-ER: Bringing Question-Driven Process Mining Closer to the Emergency Room. | 2017 | 5 |
| 16 | Process mining in healthcare: A literature reviewbreakdown → | 2016 | 348 |
| 17 | Statistical Section Segmentation in Free-Text Clinical Records | 2012 | 30 |
| 18 | 2007 | 26 | |
| 19 | 2007 | 7 | |
| 20 | 2004 | 16 |
About Daniel Capurro
Daniel Capurro is a scholar working on Health Information Management, Health Informatics, Medical Laboratory Technology, Management Information Systems and General Health Professions, having authored 79 papers that have together received 1.7k indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (13 papers), Machine Learning in Healthcare (11 papers), Electronic Health Records Systems (9 papers), Telemedicine and Telehealth Implementation (8 papers), Mobile Health and mHealth Applications (7 papers), Data Quality and Management (6 papers), Medical Coding and Health Information (6 papers) and Biomedical Text Mining and Ontologies (5 papers). The work is most often cited by research in Health Informatics (68 citations), Management Information Systems (438 citations), Health Information Management (178 citations), Management Science and Operations Research (194 citations) and Health (106 citations). Daniel Capurro has collaborated with scholars based in Australia, Chile and United States. Frequent co-authors include Marcos Sepúlveda, Eric Rojas, Jorge Muñoz-Gama, Anne M. Turner, Gabriel Rada, Jonathan Joe, Katrin Kirchhoff, Luz María Letelier S, Karin Verspoor and Anthony Nguyen. Their work appears in journals such as Journal of Biomedical Informatics, Journal of Medical Internet Research, International Journal of Environmental Research and Public Health, JMIR mhealth and uhealth and Journal of the American Medical Informatics Association.
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.