Antti Tolonen

993 total citations
24 papers, 559 citations indexed

About

Antti Tolonen is a scholar working on Psychiatry and Mental health, Neurology and Physiology. According to data from OpenAlex, Antti Tolonen has authored 24 papers receiving a total of 559 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Psychiatry and Mental health, 8 papers in Neurology and 7 papers in Physiology. Recurrent topics in Antti Tolonen's work include Dementia and Cognitive Impairment Research (10 papers), Neurological disorders and treatments (5 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Antti Tolonen is often cited by papers focused on Dementia and Cognitive Impairment Research (10 papers), Neurological disorders and treatments (5 papers) and Parkinson's Disease Mechanisms and Treatments (5 papers). Antti Tolonen collaborates with scholars based in Finland, Netherlands and United Kingdom. Antti Tolonen's co-authors include Mark van Gils, Esther J. Smits, Luc Cluitmans, Natasha M. Maurits, Jyrki Lötjönen, Wiesje M. van der Flier, Steen Gregers Hasselbalch, Klaus L. Leenders, Afina W. Lemstra and Jukka Turkka and has published in prestigious journals such as PLoS ONE, Cancers and Alzheimer s & Dementia.

In The Last Decade

Antti Tolonen

20 papers receiving 546 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Antti Tolonen Finland 11 168 167 145 78 75 24 559
Chun‐Hung Chen Taiwan 15 97 0.6× 124 0.7× 128 0.9× 162 2.1× 50 0.7× 39 673
Gina Dumkrieger United States 16 73 0.4× 180 1.1× 474 3.3× 108 1.4× 77 1.0× 46 638
Christine Reece United States 12 174 1.0× 206 1.2× 59 0.4× 143 1.8× 79 1.1× 18 827
Haibo Yu China 16 81 0.5× 117 0.7× 123 0.8× 78 1.0× 168 2.2× 68 836
Luigi Yuri Di Marco United Kingdom 13 156 0.9× 63 0.4× 89 0.6× 36 0.5× 97 1.3× 26 732
Pauline Mouchès Canada 12 72 0.4× 98 0.6× 143 1.0× 64 0.8× 135 1.8× 32 550
Bruce Gray Canada 14 320 1.9× 280 1.7× 133 0.9× 171 2.2× 112 1.5× 27 1.2k
Nicholas W. Sterling United States 17 74 0.4× 420 2.5× 46 0.3× 47 0.6× 74 1.0× 24 721
Fabrizio Ammirati Italy 25 90 0.5× 161 1.0× 293 2.0× 17 0.2× 61 0.8× 64 2.0k
Mariusz Siemiński Poland 15 87 0.5× 157 0.9× 50 0.3× 163 2.1× 214 2.9× 61 550

Countries citing papers authored by Antti Tolonen

Since Specialization
Citations

This map shows the geographic impact of Antti Tolonen'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 Antti Tolonen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antti Tolonen more than expected).

Fields of papers citing papers by Antti Tolonen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antti Tolonen. 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 Antti Tolonen. The network helps show where Antti Tolonen may publish in the future.

Co-authorship network of co-authors of Antti Tolonen

This figure shows the co-authorship network connecting the top 25 collaborators of Antti Tolonen. A scholar is included among the top collaborators of Antti Tolonen 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 Antti Tolonen. Antti Tolonen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Rhodius‐Meester, Hanneke, Ingrid S. van Maurik, Lyduine E. Collij, et al.. (2024). Computerized decision support is an effective approach to select memory clinic patients for amyloid-PET. PLoS ONE. 19(5). e0303111–e0303111.
2.
Rhodius‐Meester, Hanneke, Heleen M.A. Hendriksen, Niki S.M. Schoonenboom, et al.. (2024). Use of a digital tool to support the diagnostic process in memory clinics–a usability study. Alzheimer s Research & Therapy. 16(1). 75–75. 7 indexed citations
3.
4.
Tolonen, Antti, Argonde C. van Harten, Frederik Barkhof, et al.. (2024). Computerized decision support to optimally funnel patients through the diagnostic pathway for dementia. Alzheimer s Research & Therapy. 16(1). 256–256.
5.
6.
Beek, Marleen van de, Antti Tolonen, Mardou van Leeuwenstijn, et al.. (2022). Optimizing cCOG, a web‐based tool, to detect dementia with Lewy Bodies.. Alzheimer s & Dementia. 18(S7). 3 indexed citations
7.
Tolonen, Antti, et al.. (2021). Methodology, clinical applications, and future directions of body composition analysis using computed tomography (CT) images: A review. European Journal of Radiology. 145. 109943–109943. 85 indexed citations
8.
Rhodius‐Meester, Hanneke, Ingrid S. van Maurik, Juha Koikkalainen, et al.. (2020). Selection of memory clinic patients for CSF biomarker assessment can be restricted to a quarter of cases by using computerized decision support, without compromising diagnostic accuracy. PLoS ONE. 15(1). e0226784–e0226784. 12 indexed citations
9.
Puttonen, Sampsa, Mikko J. Sillanpää, Leila Hopsu, et al.. (2020). Personalized mental stress detection with self-organizing map: From laboratory to the field. Computers in Biology and Medicine. 124. 103935–103935. 29 indexed citations
10.
Bruun, Marie, Hanneke Rhodius‐Meester, Juha Koikkalainen, et al.. (2018). Evaluating combinations of diagnostic tests to discriminate different dementia types. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 10(1). 509–518. 22 indexed citations
11.
Hall, Anette, Juha Koikkalainen, Eino Solje, et al.. (2018). Automatic MRI Quantifying Methods in Behavioral-Variant Frontotemporal Dementia Diagnosis. Dementia and Geriatric Cognitive Disorders Extra. 8(1). 51–59. 18 indexed citations
12.
Tong, Tong, Christian Ledig, Ricardo Guerrero, et al.. (2017). Five-class differential diagnostics of neurodegenerative diseases using random undersampling boosting. NeuroImage Clinical. 15. 613–624. 32 indexed citations
13.
Tolonen, Antti, Mika Särkelä, Riikka Takala, et al.. (2017). Quantitative EEG Parameters for Prediction of Outcome in Severe Traumatic Brain Injury: Development Study. Clinical EEG and Neuroscience. 49(4). 248–257. 45 indexed citations
14.
Koikkalainen, Juha, Hanneke Rhodius‐Meester, Antti Tolonen, et al.. (2016). Differential diagnosis of neurodegenerative diseases using structural MRI data. NeuroImage Clinical. 11. 435–449. 123 indexed citations
15.
16.
Smits, Esther J., Antti Tolonen, Luc Cluitmans, et al.. (2015). Graphical Tasks to Measure Upper Limb Function in Patients With Parkinson's Disease: Validity and Response to Dopaminergic Medication. IEEE Journal of Biomedical and Health Informatics. 21(1). 283–289. 17 indexed citations
17.
Smits, Esther J., Antti Tolonen, Luc Cluitmans, et al.. (2014). Standardized Handwriting to Assess Bradykinesia, Micrographia and Tremor in Parkinson's Disease. PLoS ONE. 9(5). e97614–e97614. 85 indexed citations
18.
Tolonen, Antti. (2014). Dynamic Virtualized Network Functions on an OpenStack Cloud. Aaltodoc (Aalto University). 1 indexed citations
19.
Smits, Esther J., Antti Tolonen, Luc Cluitmans, et al.. (2012). Standardized handwriting provides quantitative measures to assess bradykinesia, tremor and micrographia in Parkinson's disease. University of Groningen research database (University of Groningen / Centre for Information Technology). 1 indexed citations
20.
Tolonen, Antti, et al.. (2007). Traumatic brain injury is under-diagnosed in patients with spinal cord injury. Acta Dermato Venereologica. 39(8). 622–626. 57 indexed citations

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.

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