Francesco Delacqua

23.0k citations
7 papers · 13.2k indexed · 1 hit paper · h-index 4
Topics
Electronic Health Records Systems (4 papers)Scientific Computing and Data Management (2 papers)Data Quality and Management (1 paper)
Partner nations
United States

In The Last Decade

Francesco Delacqua

4 papers receiving 13.1k citations

Hit Papers

The REDCap consortium: Building an international communit...201920262021202320194.0k8.0k12.0k

Peers

Francesco Delacqua
Comparison fields: 5 of 200
  • Public Health, Environmental and Occupational Health 2.5k
  • General Health Professions 2.1k
  • Surgery 1.9k
  • Epidemiology 1.9k
  • Clinical Psychology 1.7k
Replace Michelle Fernández with:
Michelle Fernández Brazil
Stephany N. Duda United States
Laura McLeod United Kingdom
Jacqueline Kirby United States
Ruiqin Ma China
Guoqin Wang China
Koji Wada Japan
Lisa Hartling Canada
John B. Wong United States
Guangyong Zou Canada
Francesco Delacqua relative to Michelle Fernández Brazil Michelle Fernández's profile →
Citations per field
00.5×1.5×
Michelle Fernández · 1×
Citations per year

Countries citing papers authored by Francesco Delacqua

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Delacqua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Francesco Delacqua. 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 Francesco Delacqua. The network helps show where Francesco Delacqua may publish in the future.

Co-authorship network of co-authors of Francesco Delacqua

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

All Works

7 of 7 papers shown
#WorkIndexed citations
1 0
2 0
3 0
4 10
5 38
6 9
7
The REDCap consortium: Building an international community of software platform partnersbreakdown →
13132

About Francesco Delacqua

Francesco Delacqua is a scholar working on Health Information Management, Health Informatics and Information Systems and Management, having authored 7 papers that have together received 13.2k indexed citations. Recurring topics across this work include Electronic Health Records Systems (4 papers), Scientific Computing and Data Management (2 papers) and Data Quality and Management (1 paper). The work is most often cited by research in Public Health, Environmental and Occupational Health (2.5k citations), General Health Professions (2.1k citations) and Clinical Psychology (1.7k citations). Francesco Delacqua has collaborated with scholars based in United States. Frequent co-authors include Paul A. Harris, Robert J. Taylor, Stephany N. Duda, Michelle Fernández, Laura McLeod, Jacqueline Kirby, Kevin B. Johnson, Alex Cheng, Nan Kennedy and Beverly Woodward. Their work appears in journals such as Medical Care, Journal of Biomedical Informatics and JAMIA Open.

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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