Iris Dekker
Impact in
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- Multiple Sclerosis Research Studies
- Neurology top 10%
- Neurological disorders and treatments
- Parkinson's Disease Mechanisms and Treatments
Papers in
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- Multiple Sclerosis Research Studies 19
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- Functional Brain Connectivity Studies 4
- Co-authors
- Bernard M.J. Uitdehaag (17 shared papers)Frederik Barkhof (14 shared papers)Jeroen J.G. Geurts (11 shared papers)Menno Michiel Schoonheim (10 shared papers)Anand J. C. Eijlers (9 shared papers)Mike Peter Wattjes (10 shared papers)Hanneke E. Hulst (6 shared papers)Martijn D. Steenwijk (3 shared papers)
- Journals
- Multiple Sclerosis Journal (6 papers)Neurology (4 papers)NeuroImage Clinical (3 papers)Brain Communications (2 papers)The Lancet Neurology (1 paper)
- Partner nations
- NetherlandsUnited KingdomGermany
In The Last Decade
Iris Dekker
22 papers receiving 784 citations
Peers
Comparison fields: 5 of 40
- Pathology and Forensic Medicine 621
- Neurology 94
- Cognitive Neuroscience 63
- Radiology, Nuclear Medicine and Imaging 28
- Health Informatics 3
Countries citing papers authored by Iris Dekker
This map shows the geographic impact of Iris Dekker'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 Iris Dekker with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Iris Dekker more than expected).
Fields of papers citing papers by Iris Dekker
This network shows the impact of papers produced by Iris Dekker. 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 Iris Dekker. The network helps show where Iris Dekker may publish in the future.
Co-authors
The 25 scholars most cited alongside Iris Dekker, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 180 | |
| 2 | 2017 | 108 | |
| 3 | 2015 | 78 | |
| 4 | 2019 | 68 | |
| 5 | 2019 | 50 | |
| 6 | 2019 | 36 | |
| 7 | 2017 | 30 | |
| 8 | 2019 | 30 | |
| 9 | 2021 | 30 | |
| 10 | 2019 | 29 | |
| 11 | 2020 | 28 | |
| 12 | 2017 | 24 | |
| 13 | 2021 | 19 | |
| 14 | 2020 | 18 | |
| 15 | 2019 | 16 | |
| 16 | 2022 | 15 | |
| 17 | 2017 | 14 | |
| 18 | 2017 | 14 | |
| 19 | 2022 | 7 | |
| 20 | 2023 | 3 |
About Iris Dekker
Iris Dekker is a scholar working on Pathology and Forensic Medicine, Cognitive Neuroscience, Human-Computer Interaction, Neurology and Psychiatry and Mental health, having authored 23 papers that have together received 800 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (19 papers), Functional Brain Connectivity Studies (4 papers), Patient Satisfaction in Healthcare (1 paper), Neurological disorders and treatments (1 paper), Empathy and Medical Education (1 paper), Virtual Reality Applications and Impacts (1 paper) and Medical Image Segmentation Techniques (1 paper). The work is most often cited by research in Pathology and Forensic Medicine (621 citations), Neurology (94 citations), Cognitive Neuroscience (63 citations), Radiology, Nuclear Medicine and Imaging (28 citations) and Health Informatics (3 citations). Iris Dekker has collaborated with scholars based in Netherlands, United Kingdom and Germany. Frequent co-authors include Bernard M.J. Uitdehaag, Frederik Barkhof, Jeroen J.G. Geurts, Menno Michiel Schoonheim, Anand J. C. Eijlers, Mike Peter Wattjes, Hanneke E. Hulst, Martijn D. Steenwijk, Kim A. Meijer and Joep Killestein. Their work appears in journals such as Multiple Sclerosis Journal, Neurology, NeuroImage Clinical, Brain Communications and The Lancet Neurology.
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.