Tanja Bekhuis
- Health Informatics top 5%
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- Meta-analysis and systematic reviews 9
- General Health Professions top 5%
- Health Sciences Research and Education 3
- Issues, ethics and legal aspects top 10%
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- Obesity, Physical Activity, Diet 2
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- Biomedical Text Mining and Ontologies 8
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- Eating Disorders and Behaviors 2
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- School Choice and Performance 2
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- Data-Driven Disease Surveillance 2
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- Big Data and Business Intelligence 1
- Co-authors
- Wichor M. BramerLeslie HollandDean GiustiniDina Demner‐FushmanHeiko SpallekMei SongEugene TseytlinDeborah E. Polk
- Journals
- PLoS ONE (1 paper)Cochrane Database of Systematic Reviews (1 paper)Personality and Individual Differences (1 paper)
- Partner nations
- United StatesCanadaNetherlands
In The Last Decade
Tanja Bekhuis
26 papers receiving 1.9k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Health Informatics 28
- Statistics, Probability and Uncertainty 126
- General Health Professions 354
- Issues, ethics and legal aspects 17
- Public Health, Environmental and Occupational Health 355
Countries citing papers authored by Tanja Bekhuis
This map shows the geographic impact of Tanja Bekhuis'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 Tanja Bekhuis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanja Bekhuis more than expected).
Fields of papers citing papers by Tanja Bekhuis
This network shows the impact of papers produced by Tanja Bekhuis. 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 Tanja Bekhuis. The network helps show where Tanja Bekhuis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tanja Bekhuis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 52 | |
| 2 | 2016 | 8 | |
| 3 | De-duplication of database search results for systematic reviews in EndNotebreakdown → | 2016 | 1311 |
| 4 | 2016 | 35 | |
| 5 | 2015 | 1 | |
| 6 | 2015 | 8 | |
| 7 | 2014 | 37 | |
| 8 | 2013 | 11 | |
| 9 | 2013 | 16 | |
| 10 | 2012 | 56 | |
| 11 | 2011 | 21 | |
| 12 | 2010 | 37 | |
| 13 | 2010 | 88 | |
| 14 | 2009 | 2 | |
| 15 | 2006 | 45 | |
| 16 | 2002 | 45 | |
| 17 | 1995 | 9 | |
| 18 | Unsafe Public Schools and the Risk of Dropping Out: A Longitudinal Study of Adolescents. | 1995 | 3 |
| 19 | 1994 | 4 | |
| 20 | 1986 | 33 |
About Tanja Bekhuis
Tanja Bekhuis is a scholar working on Statistics, Probability and Uncertainty, Family Practice and Pharmacy, having authored 26 papers that have together received 1.9k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (9 papers), Biomedical Text Mining and Ontologies (8 papers), Health Sciences Research and Education (3 papers), Obesity, Physical Activity, Diet (2 papers), Eating Disorders and Behaviors (2 papers), School Choice and Performance (2 papers), Data-Driven Disease Surveillance (2 papers) and Big Data and Business Intelligence (1 paper). The work is most often cited by research in Health Informatics (28 citations), Statistics, Probability and Uncertainty (126 citations) and General Health Professions (354 citations). Tanja Bekhuis has collaborated with scholars based in United States, Canada and Netherlands. Frequent co-authors include Wichor M. Bramer, Leslie Holland, Dean Giustini, Dina Demner‐Fushman, Heiko Spallek, Mei Song, Eugene Tseytlin, Deborah E. Polk, Krishna Aravamudhan and Julie Frantsve‐Hawley. Their work appears in journals such as PLoS ONE, Cochrane Database of Systematic Reviews and Personality and Individual Differences.
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.