Jacqueline Kirby

24.1k citations
8 papers · 13.7k indexed · 1 hit paper · h-index 6

Jacqueline Kirby

8 papers receiving 13.5k citations

Hit Papers

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

Peers

Jacqueline Kirby
Comparison fields: 5 of 201
  • Public Health, Environmental and Occupational Health 2.5k
  • General Health Professions 2.1k
  • Surgery 2.0k
  • Epidemiology 1.9k
  • Clinical Psychology 1.7k
Replace Stephany N. Duda with:
Stephany N. Duda United States
Laura McLeod United Kingdom
Francesco Delacqua United States
Michelle Fernández Brazil
Koji Wada Japan
Guoqin Wang China
John B. Wong United States
Ruiqin Ma China
Yoshiharu Aizawa Japan
Irene Petersen United Kingdom
Jacqueline Kirby relative to Stephany N. Duda United States Stephany N. Duda's profile →
Citations per field
00.5×2.7×
Stephany N. Duda · 1×
Citations per year

Countries citing papers authored by Jacqueline Kirby

Since Specialization
Citations

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

Fields of papers citing papers by Jacqueline Kirby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacqueline Kirby

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

All Works

8 of 8 papers shown
#WorkIndexed citations
1
The REDCap consortium: Building an international community of software platform partnersbreakdown →
13132
2 5
3 12
4 12
5 238
6 3
7 201
8 55

About Jacqueline Kirby

Jacqueline Kirby is a scholar working on Information Systems and Management, Health Information Management and Management Science and Operations Research, having authored 8 papers that have together received 13.7k indexed citations. Recurring topics across this work include Scientific Computing and Data Management (3 papers), Chronic Disease Management Strategies (2 papers) and Machine Learning in Healthcare (2 papers). 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). Jacqueline Kirby has collaborated with scholars based in United States and Ireland. Frequent co-authors include Paul A. Harris, Laura McLeod, Robert J. Taylor, Stephany N. Duda, Francesco Delacqua, Michelle Fernández, Melissa Basford, James D. Cowan, Jana K. Shirey-Rice and Ioana Danciu. Their work appears in journals such as Academic Medicine, Journal of the American Medical Informatics Association and BMC Infectious Diseases.

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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