Barbara Michiels
Impact in
-
- Antibiotic Use and Resistance
- Statistics and Probability top 5%
- Statistical Methods and Bayesian Inference
Papers in
-
- Antibiotic Use and Resistance 4
-
- Influenza Virus Research Studies 8
- Co-authors
- Samuel Coenen (21 shared papers)Paul Van Royen (11 shared papers)Joke Denekens (9 shared papers)Etienne Vermeire (2 shared papers)Geert Molenberghs (3 shared papers)Véronique Verhoeven (8 shared papers)Didier Renard (1 shared paper)Roy Remmen (4 shared papers)
In The Last Decade
Barbara Michiels
25 papers receiving 794 citations
Peers
Comparison fields: 5 of 49
- Applied Microbiology and Biotechnology 212
- Statistics and Probability 85
- Epidemiology 188
- Health 38
- Emergency Medicine 25
Countries citing papers authored by Barbara Michiels
This map shows the geographic impact of Barbara Michiels'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 Barbara Michiels with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Barbara Michiels more than expected).
Fields of papers citing papers by Barbara Michiels
This network shows the impact of papers produced by Barbara Michiels. 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 Barbara Michiels. The network helps show where Barbara Michiels may publish in the future.
Co-authors
The 25 scholars most cited alongside Barbara Michiels, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Antibiotic prescribing for acute cough: the effect of perceived patient demand. | 2006 | 156 |
| 2 | 2011 | 116 | |
| 3 | 2013 | 94 | |
| 4 | 2012 | 92 | |
| 5 | 1998 | 91 | |
| 6 | 2004 | 76 | |
| 7 | 2002 | 44 | |
| 8 | 2011 | 42 | |
| 9 | 2016 | 25 | |
| 10 | 2006 | 23 | |
| 11 | 2016 | 18 | |
| 12 | 2006 | 14 | |
| 13 | 2001 | 7 | |
| 14 | 2017 | 7 | |
| 15 | 2015 | 6 | |
| 16 | Analysis of incomplete public health data. | 1999 | 5 |
| 17 | 2014 | 5 | |
| 18 | 2000 | 4 | |
| 19 | 1999 | 3 | |
| 20 | 2001 | 3 |
About Barbara Michiels
Barbara Michiels is a scholar working on Applied Microbiology and Biotechnology, Epidemiology, Statistics and Probability, General Health Professions and Infectious Diseases, having authored 29 papers that have together received 837 indexed citations. Recurring topics across this work include Influenza Virus Research Studies (8 papers), Antibiotic Use and Resistance (4 papers), Primary Care and Health Outcomes (2 papers), Statistical Methods and Bayesian Inference (2 papers), Dermatology and Skin Diseases (1 paper), Antimicrobial Resistance in Staphylococcus (1 paper), Electronic Health Records Systems (1 paper) and Clinical practice guidelines implementation (1 paper). The work is most often cited by research in Applied Microbiology and Biotechnology (212 citations), Statistics and Probability (85 citations), Epidemiology (188 citations), Health (38 citations) and Emergency Medicine (25 citations). Barbara Michiels has collaborated with scholars based in Belgium, Germany and Vietnam. Frequent co-authors include Samuel Coenen, Paul Van Royen, Joke Denekens, Etienne Vermeire, Geert Molenberghs, Véronique Verhoeven, Didier Renard, Roy Remmen, Michael G. Kenward and Peter John Diggle. Their work appears in journals such as Vaccine, BMC Family Practice, PLoS ONE, The Lancet 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.