Jussi Mattila

781 total citations
30 papers, 531 citations indexed

About

Jussi Mattila is a scholar working on Psychiatry and Mental health, Artificial Intelligence and Physiology. According to data from OpenAlex, Jussi Mattila has authored 30 papers receiving a total of 531 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Psychiatry and Mental health, 7 papers in Artificial Intelligence and 7 papers in Physiology. Recurrent topics in Jussi Mattila's work include Dementia and Cognitive Impairment Research (20 papers), Machine Learning in Healthcare (6 papers) and Alzheimer's disease research and treatments (6 papers). Jussi Mattila is often cited by papers focused on Dementia and Cognitive Impairment Research (20 papers), Machine Learning in Healthcare (6 papers) and Alzheimer's disease research and treatments (6 papers). Jussi Mattila collaborates with scholars based in Finland, United Kingdom and Denmark. Jussi Mattila's co-authors include Jyrki Lötjönen, Hilkka Soininen, Juha Koikkalainen, Mark van Gils, Gunhild Waldemar, Arho Virkki, Anja Hviid Simonsen, Anette Hall, Sanna‐Kaisa Herukka and Antti Väätänen and has published in prestigious journals such as PLoS ONE, IEEE Transactions on Biomedical Engineering and Journal of Alzheimer s Disease.

In The Last Decade

Jussi Mattila

30 papers receiving 521 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jussi Mattila Finland	15	309	160	83	75	67	30	531
Hanneke Rhodius‐Meester Netherlands	12	317 1.0×	162 1.0×	38 0.5×	65 0.9×	107 1.6×	55	566
Farshad Falahati Sweden	12	226 0.7×	194 1.2×	41 0.5×	99 1.3×	116 1.7×	23	516
Joylee Wu United States	1	444 1.4×	252 1.6×	45 0.5×	113 1.5×	60 0.9×	2	609
Anette Hall Finland	14	230 0.7×	199 1.2×	38 0.5×	50 0.7×	65 1.0×	29	455
Ting Fang Alvin Ang United States	14	290 0.9×	292 1.8×	105 1.3×	74 1.0×	167 2.5×	58	922
Jong Bin Bae South Korea	15	250 0.8×	89 0.6×	59 0.7×	82 1.1×	129 1.9×	41	614
Daniela De Fazio Australia	2	368 1.2×	263 1.6×	85 1.0×	145 1.9×	113 1.7×	2	628
for the Alzheimer’s Disease Neuroimaging Initiative United States	7	205 0.7×	151 0.9×	56 0.7×	74 1.0×	118 1.8×	9	395
Pai‐Yi Chiu Taiwan	14	266 0.9×	200 1.3×	34 0.4×	51 0.7×	105 1.6×	55	594
Leslie M. Shaw United States	2	299 1.0×	165 1.0×	69 0.8×	150 2.0×	120 1.8×	2	517

Countries citing papers authored by Jussi Mattila

Since Specialization

Citations

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

Fields of papers citing papers by Jussi Mattila

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jussi Mattila

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Bian, Li, Senlin Luo, Wenhua Wang, et al.. (2025). PROPERMAB: an integrative framework for in silico prediction of antibody developability using machine learning. mAbs. 17(1). 2474521–2474521. 2 indexed citations

Rhodius‐Meester, Hanneke, Juha Pärkkä, Mark van Gils, et al.. (2020). Gait Disturbances are Associated with Increased Cognitive Impairment and Cerebrospinal Fluid Tau Levels in a Memory Clinic Cohort. Journal of Alzheimer s Disease. 76(3). 1061–1070. 20 indexed citations

Hall, Anette, Tuomo Polvikoski, Mark van Gils, et al.. (2019). Prediction models for dementia and neuropathology in the oldest old: the Vantaa 85+ cohort study. Työväentutkimus Vuosikirja. 2 indexed citations

Hall, Anette, Tuomo Polvikoski, Mark van Gils, et al.. (2019). Prediction models for dementia and neuropathology in the oldest old: the Vantaa 85+ cohort study. Alzheimer s Research & Therapy. 11(1). 11–11. 37 indexed citations

Hall, Anette, Jyrki Lötjönen, Jussi Mattila, et al.. (2016). Development of a Late-Life Dementia Prediction Index with Supervised Machine Learning in the Population-Based CAIDE Study. Journal of Alzheimer s Disease. 55(3). 1055–1067. 29 indexed citations

Liedes, Hilkka, Jussi Mattila, Hester F. Lingsma, et al.. (2016). Prediction of Outcome after Traumatic Brain Injury: Comparison of Disease State Index and IMPACT Calculator. Studies in health technology and informatics. 224. 175–80. 2 indexed citations

Hall, Anette, Ossi Nerg, Anne M. Koivisto, et al.. (2016). Multimodal analysis to predict shunt surgery outcome of 284 patients with suspected idiopathic normal pressure hydrocephalus. Acta Neurochirurgica. 158(12). 2311–2319. 15 indexed citations

Hall, Anette, Jussi Mattila, Juha Koikkalainen, et al.. (2016). Using the Disease State Fingerprint Tool for Differential Diagnosis of Frontotemporal Dementia and Alzheimer's Disease. Dementia and Geriatric Cognitive Disorders Extra. 6(2). 313–329. 7 indexed citations

Hall, Anette, Jussi Mattila, Juha Koikkalainen, et al.. (2015). Predicting Progression from Cognitive Impairment to Alzheimer’s Disease with the Disease State Index. Current Alzheimer Research. 12(1). 69–79. 19 indexed citations

10.

Hall, Anette, Jussi Mattila, Juha Koikkalainen, et al.. (2015). Generalizability of the Disease State Index Prediction Model for Identifying Patients Progressing from Mild Cognitive Impairment to Alzheimer's Disease. Journal of Alzheimer s Disease. 44(1). 79–92. 26 indexed citations

11.

Simonsen, Anja Hviid, Jussi Mattila, Anne‐Mette Hejl, et al.. (2013). Application of the PredictAD Decision Support Tool to a Danish Cohort of Patients with Alzheimer's Disease and Other Dementias. Dementia and Geriatric Cognitive Disorders. 37(3-4). 207–213. 7 indexed citations

12.

Antila, Kari, Jyrki Lötjönen, Lennart Thurfjell, et al.. (2013). The PredictAD project: development of novel biomarkers and analysis software for early diagnosis of the Alzheimer's disease. Interface Focus. 3(2). 20120072–20120072. 27 indexed citations

13.

Hall, Anette, Jussi Mattila, Juha Koikkalainen, et al.. (2013). Comparing Predictors of Conversion to Alzheimer's Disease Using the Disease State Index. Neurodegenerative Diseases. 13(2-3). 200–202. 8 indexed citations

14.

Simonsen, Anja Hviid, Jussi Mattila, Kristian Steen Frederiksen, et al.. (2012). Application of the PredictAD Software Tool to Predict Progression in Patients with Mild Cognitive Impairment. Dementia and Geriatric Cognitive Disorders. 34(5-6). 344–350. 10 indexed citations

15.

Soininen, Hilkka, Jussi Mattila, Juha Koikkalainen, et al.. (2011). Software Tool for Improved Prediction of Alzheimer’s Disease. Neurodegenerative Diseases. 10(1-4). 149–152. 12 indexed citations

16.

Mattila, Jussi, Juha Koikkalainen, Arho Virkki, Mark van Gils, & Jyrki Lötjönen. (2011). Design and Application of a Generic Clinical Decision Support System for Multiscale Data. IEEE Transactions on Biomedical Engineering. 59(1). 234–240. 28 indexed citations

17.

Mattila, Jussi, Juha Koikkalainen, Arho Virkki, et al.. (2011). A Disease State Fingerprint for Evaluation of Alzheimer's Disease. Journal of Alzheimer s Disease. 27(1). 163–176. 63 indexed citations

18.

Gils, Mark van, Juha Koikkalainen, Jussi Mattila, et al.. (2010). Discovery and use of efficient biomarkers for objective disease state assessment in Alzheimer's disease. PubMed. 27. 2886–2889. 10 indexed citations

19.

Mattila, Jussi, Hang Ding, Elina Mattila, & Antti Särelä. (2009). Mobile tools for home-based cardiac rehabilitation based on heart rate and movement activity analysis. PubMed. 2009. 6448–6452. 14 indexed citations

20.

Lötjönen, Jyrki, Vesa Järvinen, Benjamin Cheong, et al.. (2008). Evaluation of cardiac biventricular segmentation from multiaxis MRI data: A multicenter study. Journal of Magnetic Resonance Imaging. 28(3). 626–636. 25 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.

Explore authors with similar magnitude of impact