Kim Sweers
- Psychiatry and Mental health top 0.5%
- Physiology top 5%
- Endocrinology, Diabetes and Metabolism top 2%
- Clinical Psychology top 5%
- Cardiology and Cardiovascular Medicine top 10%
- Co-authors
- Marc D. BinderDavy VancampfortRuud van WinkelAlex J. MitchellWeiping YuMichel ProbstJan KnapenKatrien Maurissen
- Topics
- Schizophrenia research and treatment (18 papers)Physical Activity and Health (6 papers)Balance, Gait, and Falls Prevention (5 papers)
- Partner nations
- BelgiumNetherlandsUnited Kingdom
In The Last Decade
Kim Sweers
25 papers receiving 2.2k citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Psychiatry and Mental health 1.4k
- Physiology 640
- Endocrinology, Diabetes and Metabolism 469
- Clinical Psychology 285
- Cardiology and Cardiovascular Medicine 219
Countries citing papers authored by Kim Sweers
This map shows the geographic impact of Kim Sweers'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 Kim Sweers with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim Sweers more than expected).
Fields of papers citing papers by Kim Sweers
This network shows the impact of papers produced by Kim Sweers. 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 Kim Sweers. The network helps show where Kim Sweers may publish in the future.
Co-authorship network of co-authors of Kim Sweers
This figure shows the co-authorship network connecting the top 25 collaborators of Kim Sweers. A scholar is included among the top collaborators of Kim Sweers based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kim Sweers. Kim Sweers is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 67 | |
| 3 | 16 | |
| 4 | 35 | |
| 5 | 23 | |
| 6 | 119 | |
| 7 | 128 | |
| 8 | 83 | |
| 9 | 52 | |
| 10 | 153 | |
| 11 | 20 | |
| 12 | 91 | |
| 13 | Prevalence of Metabolic Syndrome and Metabolic Abnormalities in Schizophrenia and Related Disorders—A Systematic Review and Meta-Analysisbreakdown → | 777 |
| 14 | 10 | |
| 15 | 27 | |
| 16 | 106 | |
| 17 | 60 | |
| 18 | 1 | |
| 19 | 55 | |
| 20 | 198 |
About Kim Sweers
Kim Sweers is a scholar working on Psychiatry and Mental health, Physical Therapy, Sports Therapy and Rehabilitation and Gastroenterology, having authored 25 papers that have together received 2.2k indexed citations. Recurring topics across this work include Schizophrenia research and treatment (18 papers), Physical Activity and Health (6 papers) and Balance, Gait, and Falls Prevention (5 papers). The work is most often cited by research in Psychiatry and Mental health (1.4k citations), Biological Psychiatry (199 citations) and Endocrinology, Diabetes and Metabolism (469 citations). Kim Sweers has collaborated with scholars based in Belgium, Netherlands and United Kingdom. Frequent co-authors include Marc D. Binder, Davy Vancampfort, Ruud van Winkel, Alex J. Mitchell, Weiping Yu, Michel Probst, Jan Knapen, Katrien Maurissen, Martien Wampers and Christoph U. Correll. Their work appears in journals such as PLoS ONE, The British Journal of Psychiatry and Schizophrenia Bulletin.
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.