Mark van Gils
- Anesthesiology and Pain Medicine top 0.5%
- Anesthesia and Sedative Agents 18
- Developmental Neuroscience top 5%
- Neurology top 2%
- Traumatic Brain Injury and Neurovascular Disturbances 15
- Psychiatry and Mental health top 5%
- Dementia and Cognitive Impairment Research 20
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- Traumatic Brain Injury Research 12
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- EEG and Brain-Computer Interfaces 12
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- Non-Invasive Vital Sign Monitoring 11
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- Healthcare Technology and Patient Monitoring 9
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- S100 Proteins and Annexins 9
Mark van Gils
127 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 156
- Anesthesiology and Pain Medicine 486
- Developmental Neuroscience 151
- Neurology 491
- Cardiology and Cardiovascular Medicine 583
- Psychiatry and Mental health 388
Countries citing papers authored by Mark van Gils
This map shows the geographic impact of Mark van Gils'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 Mark van Gils with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark van Gils more than expected).
Fields of papers citing papers by Mark van Gils
This network shows the impact of papers produced by Mark van Gils. 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 Mark van Gils. The network helps show where Mark van Gils may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Mark van Gils, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 1 | |
| 4 | 2024 | 1 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 2 | |
| 7 | 2022 | 12 | |
| 8 | 2022 | 7 | |
| 9 | 2019 | 44 | |
| 10 | 2018 | 22 | |
| 11 | 2016 | 65 | |
| 12 | 2014 | 96 | |
| 13 | 2014 | 46 | |
| 14 | 2013 | 7 | |
| 15 | Standardized handwriting provides quantitative measures to assess bradykinesia, tremor and micrographia in Parkinson's disease | 2012 | 1 |
| 16 | Multichannel bed pressure sensor for sleep monitoring | 2012 | 44 |
| 17 | Feature selection and time regression software: Application on predicting Alzheimer's disease progress | 2010 | 2 |
| 18 | 2010 | 10 | |
| 19 | 2007 | 6 | |
| 20 | The Adaptive Resonance Theory network : (clustering-)behaviour in relation with Brainstem Auditory Evoked Potential patterns | 1992 | 1 |
About Mark van Gils
Mark van Gils is a scholar working on Anesthesiology and Pain Medicine, Health Informatics, Psychiatry and Mental health, Neurology and Critical Care and Intensive Care Medicine, having authored 135 papers that have together received 3.0k indexed citations. Recurring topics across this work include Dementia and Cognitive Impairment Research (20 papers), Anesthesia and Sedative Agents (18 papers), Traumatic Brain Injury and Neurovascular Disturbances (15 papers), Traumatic Brain Injury Research (12 papers), EEG and Brain-Computer Interfaces (12 papers), Non-Invasive Vital Sign Monitoring (11 papers), Healthcare Technology and Patient Monitoring (9 papers) and S100 Proteins and Annexins (9 papers). The work is most often cited by research in Anesthesiology and Pain Medicine (486 citations), Developmental Neuroscience (151 citations), Neurology (491 citations), Cardiology and Cardiovascular Medicine (583 citations) and Psychiatry and Mental health (388 citations). Mark van Gils has collaborated with scholars based in Finland, United Kingdom and Netherlands. Frequent co-authors include Ilkka Korhonen, Juha Pärkkä, Arvi Yli‐Hankala, Jyrki Lötjönen, M. Huiku, Jussi Tohka, Hilkka Soininen, Jussi Mattila, Juha Koikkalainen and M. Rantanen. Their work appears in journals such as Anesthesiology, Journal of Alzheimer s Disease, British Journal of Anaesthesia, Journal of Neurotrauma and Computer Methods and Programs in Biomedicine.
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.