William W. Stead

252 papers receiving 7.1k citations

William W. Stead's Hit Papers

Toward a science of learning systems: a research agenda for the high-functioning Learning Health System 2014 · 338 citations
3380+4+8Years since publication100200300

Peers

William W. Stead
Comparison fields: 5 of 192
  • Health Information Management 1.1k
  • Infectious Diseases 2.6k
  • Health Informatics 118
  • Epidemiology 1.8k
  • Medical Terminology 13
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Neill K. J. Adhikari Canada
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Citations per year

Countries citing papers authored by William W. Stead

Since Specialization
Citations

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

Fields of papers citing papers by William W. Stead

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William W. Stead. 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 William W. Stead. The network helps show where William W. Stead may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 265 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1990352
2
Toward a science of learning systems: a research agenda for the high-functioning Learning Health System
Hit paper breakdown →
2014338
3 2011296
4 1981278
5 1985273
6 2015260
7 1994229
8 1989211
9 2018199
10 1954178
11 1967178
12 1981177
13 1997149
14 1978141
15 1968131
16 1990127
17 1992118
18 1987113
19 1993109
20 2000103

About William W. Stead

William W. Stead is a scholar working on Health Information Management, Infectious Diseases, General Health Professions, Epidemiology and Surgery, having authored 265 papers that have together received 8.2k indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (68 papers), Electronic Health Records Systems (58 papers), Diagnosis and treatment of tuberculosis (22 papers), Health Sciences Research and Education (17 papers), Mycobacterium research and diagnosis (17 papers), Infectious Diseases and Tuberculosis (11 papers), Biomedical Text Mining and Ontologies (11 papers) and Pneumonia and Respiratory Infections (7 papers). The work is most often cited by research in Health Information Management (1.1k citations), Infectious Diseases (2.6k citations), Health Informatics (118 citations), Epidemiology (1.8k citations) and Medical Terminology (13 citations). William W. Stead has collaborated with scholars based in United States, Australia and Italy. Frequent co-authors include John P. Lofgren, Asim K. Dutt, Nancy E. Adler, A. K. Dutt, Dean F. Sittig, Joseph H. Bates, Dory Moers, Donald L. Fry, Richard V. Ebert and Roscoe R. Robinson. Their work appears in journals such as Journal of the American Medical Informatics Association, Annals of Internal Medicine, CHEST Journal, JAMA and New England Journal of Medicine.

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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