Daniel Capurro

68 papers receiving 1.7k citations

Daniel Capurro's Hit Papers

Process mining in healthcare: A literature review 2016 · 356 citations
3560+3+6Years since publication100200300

Peers

Daniel Capurro
Comparison fields: 5 of 137
  • Management Information Systems 430
  • Health Informatics 53
  • Health Information Management 119
  • Management Science and Operations Research 168
  • Artificial Intelligence 310
Replace Carlos Fernández-Llatas with:
Carlos Fernández-Llatas Spain
Amar K. Das United States
Bernd Blobel Germany
Ricardo Cruz‐Correia Portugal
Sooyoung Yoo South Korea
Hyeoneui Kim United States
Hans‐Ulrich Prokosch Germany
Joseph Tan Canada
Carlo Combi Italy
Mohammad S. Jalali United States
Daniel Capurro relative to Carlos Fernández-Llatas Spain Carlos Fernández-Llatas's profile →
Citations per field
00.5×2.8×
Carlos Fernández-Llatas · 1×
Citations per year

Countries citing papers authored by Daniel Capurro

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with Daniel Capurro Line = papers co-authored together Daniel Capurro links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Process mining in healthcare: A literature review
Hit paper breakdown →
2016356
2 2014173
3 2010110
4 201470
5 201759
6 201454
7
Use of antioxidant vitamins for the prevention of cardiovascular disease: meta-analysis of randomized trials
200451
8 202049
9 202246
10 202045
11 201245
12 201344
13 201741
14 201337
15 201835
16 202135
17 201931
18 202231
19 201230
20 202029

About Daniel Capurro

Daniel Capurro is a scholar working on Management Information Systems, Artificial Intelligence, Health Information Management, General Health Professions and Public Health, Environmental and Occupational Health, having authored 79 papers that have together received 1.8k indexed citations. Recurring topics across this work include Business Process Modeling and Analysis (13 papers), Electronic Health Records Systems (8 papers), Machine Learning in Healthcare (8 papers), Medical Coding and Health Information (5 papers), Service-Oriented Architecture and Web Services (4 papers), Data Quality and Management (4 papers), Telemedicine and Telehealth Implementation (4 papers) and Natural Language Processing Techniques (3 papers). The work is most often cited by research in Management Information Systems (430 citations), Health Informatics (53 citations), Health Information Management (119 citations), Management Science and Operations Research (168 citations) and Artificial Intelligence (310 citations). Daniel Capurro has collaborated with scholars based in Chile, Australia 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, Journal of the American Medical Informatics Association and JMIR mhealth and uhealth.

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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