Christopher Pearce

1.9k citations
83 papers · 1.1k · h-index 19

Impact in

Papers in

Christopher Pearce

75 papers receiving 1.1k citations

Peers

Christopher Pearce
Comparison fields: 5 of 105
  • Health Information Management 200
  • General Health Professions 290
  • Health Informatics 13
  • Medical Terminology 2
  • Applied Microbiology and Biotechnology 14
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Pearce

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Pearce

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Christopher Pearce, 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 Christopher Pearce Line = papers co-authored together Christopher Pearce links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201177
2 201477
3 200964
4 201045
5 200843
6 201140
7 200639
8 201233
9 200832
10 202028
11 201926
12 201226
13 202326
14 200824
15 201423
16 201722
17 202021
18 200721
19 200619
20 201418

About Christopher Pearce

Christopher Pearce is a scholar working on General Health Professions, Public Health, Environmental and Occupational Health, Health Information Management, Organizational Behavior and Human Resource Management and Epidemiology, having authored 83 papers that have together received 1.1k indexed citations. Recurring topics across this work include Primary Care and Health Outcomes (12 papers), Electronic Health Records Systems (7 papers), Healthcare Systems and Technology (7 papers), Nursing Roles and Practices (5 papers), Clinical practice guidelines implementation (5 papers), Chronic Disease Management Strategies (5 papers), Global Health Workforce Issues (4 papers) and Healthcare Policy and Management (4 papers). The work is most often cited by research in Health Information Management (200 citations), General Health Professions (290 citations), Health Informatics (13 citations), Medical Terminology (2 citations) and Applied Microbiology and Biotechnology (14 citations). Christopher Pearce has collaborated with scholars based in Australia, United Kingdom and United States. Frequent co-authors include Christine Phillips, Kathryn Dwan, Michael Bainbridge, Matthew Arnold, Sally Hall Dykgraaf, Marjan Kljakovic, Simon de Lusignan, Stephen Trumble, Danielle Mazza and Bonnie Sibbald. Their work appears in journals such as Journal of Innovation in Health Informatics, The Medical Journal of Australia, Journal of the American Medical Informatics Association, BMJ Open and Yearbook of Medical Informatics.

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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