Stephen E. Brossette

17 papers receiving 669 citations

Peers

Stephen E. Brossette
Comparison fields: 5 of 95
  • Applied Microbiology and Biotechnology 82
  • Molecular Medicine 89
  • Critical Care and Intensive Care Medicine 63
  • Health Information Management 53
  • Clinical Biochemistry 66
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Citations per year

Countries citing papers authored by Stephen E. Brossette

Since Specialization
Citations

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

Fields of papers citing papers by Stephen E. Brossette

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen E. Brossette. 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 Stephen E. Brossette. The network helps show where Stephen E. Brossette may publish in the future.

Co-authors

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

All Works

17 of 17 papers shown
#Work
1 1998150
2
A laboratory-based, hospital-wide, electronic marker for nosocomial infection: the future of infection control surveillance?
200675
3 200674
4 200661
5 200060
6 200856
7 200851
8 200244
9 200834
10 202227
11 199925
12
Pathology information systems: data mining leads to knowledge discovery.
199821
13 200810
14 19949
15 20059
16 20013
17
Data mining and epidemiologic surveillance
19982

About Stephen E. Brossette

Stephen E. Brossette is a scholar working on Critical Care and Intensive Care Medicine, Information Systems, Epidemiology, Clinical Biochemistry and Artificial Intelligence, having authored 17 papers that have together received 711 indexed citations. Recurring topics across this work include Data Mining Algorithms and Applications (4 papers), Bacterial Identification and Susceptibility Testing (4 papers), Nosocomial Infections in ICU (4 papers), Data Stream Mining Techniques (2 papers), Urinary Tract Infections Management (2 papers), Time Series Analysis and Forecasting (2 papers), Artificial Intelligence in Healthcare (1 paper) and Surgical site infection prevention (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (82 citations), Molecular Medicine (89 citations), Critical Care and Intensive Care Medicine (63 citations), Health Information Management (53 citations) and Clinical Biochemistry (66 citations). Stephen E. Brossette has collaborated with scholars based in United States and Canada. Frequent co-authors include Stephen A. Moser, Lance R. Peterson, Alan Sprague, Whitney Jones, Meredith L. Kilgore, Patrick J. Gavin, J. Michael Hardin, K B Waites, Adrienne Fisher and Donna M. Hacek. Their work appears in journals such as American Journal of Clinical Pathology, Journal of the American Medical Informatics Association, Journal of Clinical Microbiology, Methods of Information in Medicine and Medical Care.

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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