Sebastian Mansow‐Model

637 total citations
18 papers, 450 citations indexed

About

Sebastian Mansow‐Model is a scholar working on Psychiatry and Mental health, Pathology and Forensic Medicine and Cognitive Neuroscience. According to data from OpenAlex, Sebastian Mansow‐Model has authored 18 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Psychiatry and Mental health, 5 papers in Pathology and Forensic Medicine and 5 papers in Cognitive Neuroscience. Recurrent topics in Sebastian Mansow‐Model's work include Cerebral Palsy and Movement Disorders (6 papers), Multiple Sclerosis Research Studies (5 papers) and Balance, Gait, and Falls Prevention (4 papers). Sebastian Mansow‐Model is often cited by papers focused on Cerebral Palsy and Movement Disorders (6 papers), Multiple Sclerosis Research Studies (5 papers) and Balance, Gait, and Falls Prevention (4 papers). Sebastian Mansow‐Model collaborates with scholars based in Germany, United States and Netherlands. Sebastian Mansow‐Model's co-authors include Karen Otte, Friedemann Paul, Alexander U. Brandt, Tanja Schmitz‐Hübsch, Julius Verrel, Janina Behrens, Ursula Müller‐Werdan, Anika Steinert, Judith Bellmann–Strobl and Max Wuehr and has published in prestigious journals such as PLoS ONE, Neurology and Scientific Reports.

In The Last Decade

Sebastian Mansow‐Model

16 papers receiving 443 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Sebastian Mansow‐Model Germany 10 137 109 106 100 80 18 450
Karen Otte Germany 12 172 1.3× 132 1.2× 122 1.2× 109 1.1× 95 1.2× 23 528
A. Peruzzi Italy 7 123 0.9× 96 0.9× 102 1.0× 71 0.7× 80 1.0× 14 338
Sungjae Hwang South Korea 14 182 1.3× 127 1.2× 224 2.1× 64 0.6× 55 0.7× 42 580
Daphne J. Geerse Netherlands 11 222 1.6× 141 1.3× 95 0.9× 91 0.9× 15 0.2× 18 351
Bert Coolen Netherlands 8 224 1.6× 124 1.1× 154 1.5× 77 0.8× 16 0.2× 14 388
Kendra M. Cherry‐Allen United States 10 86 0.6× 137 1.3× 123 1.2× 258 2.6× 48 0.6× 19 528
Tiziana Lencioni Italy 14 154 1.1× 128 1.2× 246 2.3× 146 1.5× 57 0.7× 42 536
Micaela Schmid Italy 12 291 2.1× 98 0.9× 202 1.9× 38 0.4× 52 0.7× 21 589
Micaela Porta Italy 15 191 1.4× 195 1.8× 149 1.4× 66 0.7× 168 2.1× 67 603
Dadirayi Mhiripiri United Kingdom 4 219 1.6× 196 1.8× 139 1.3× 157 1.6× 19 0.2× 5 680

Countries citing papers authored by Sebastian Mansow‐Model

Since Specialization
Citations

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

Fields of papers citing papers by Sebastian Mansow‐Model

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sebastian Mansow‐Model. 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 Sebastian Mansow‐Model. The network helps show where Sebastian Mansow‐Model may publish in the future.

Co-authorship network of co-authors of Sebastian Mansow‐Model

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

All Works

18 of 18 papers shown
1.
Mansow‐Model, Sebastian, et al.. (2023). Accuracy and repeatability of the Microsoft Azure Kinect for clinical measurement of motor function. PLoS ONE. 18(1). e0279697–e0279697. 26 indexed citations
2.
Otte, Karen, et al.. (2022). Motor signature of autism spectrum disorder in adults without intellectual impairment. Scientific Reports. 12(1). 7670–7670. 17 indexed citations
3.
Otte, Karen, Nienke M. de Vries, Bastiaan R. Bloem, et al.. (2021). Camera-based objective measures of Parkinson’s disease gait features. BMC Research Notes. 14(1). 329–329. 11 indexed citations
4.
Otte, Karen, Graham Cooper, Sebastian Mansow‐Model, et al.. (2021). Cultural bias in motor function patterns: Potential relevance for predictive, preventive, and personalized medicine. The EPMA Journal. 12(1). 91–101. 3 indexed citations
5.
Otte, Karen, Daniel Kroneberg, Ludwig Rasche, et al.. (2020). Instrumental Assessment of Stepping in Place Captures Clinically Relevant Motor Symptoms of Parkinson’s Disease. Sensors. 20(19). 5465–5465. 8 indexed citations
7.
Otte, Karen, et al.. (2020). Motor signature of autism spectrum disorder in adults without intellectual impairment. Psychoneuroendocrinology. 119. 104937–104937. 1 indexed citations
8.
Steinert, Anika, et al.. (2019). Using New Camera-Based Technologies for Gait Analysis in Older Adults in Comparison to the Established GAITRite System. Sensors. 20(1). 125–125. 48 indexed citations
9.
Veauthier, Christian, Sebastian Mansow‐Model, Karen Otte, et al.. (2019). Contactless recording of sleep apnea and periodic leg movements by nocturnal 3-D-video and subsequent visual perceptive computing. Scientific Reports. 9(1). 16812–16812. 15 indexed citations
10.
Behrens, Janina, Karen Otte, Sebastian Mansow‐Model, et al.. (2017). Maximum walking speed in multiple sclerosis assessed with visual perceptive computing. PLoS ONE. 12(12). e0189281–e0189281. 30 indexed citations
11.
Behrens, Janina, Karen Otte, Sebastian Mansow‐Model, et al.. (2017). Subjective and objective assessment of physical activity in multiple sclerosis and their relation to health-related quality of life. BMC Neurology. 17(1). 10–10. 21 indexed citations
12.
Otte, Karen, Sebastian Mansow‐Model, Julius Verrel, et al.. (2016). Accuracy and Reliability of the Kinect Version 2 for Clinical Measurement of Motor Function. PLoS ONE. 11(11). e0166532–e0166532. 181 indexed citations
13.
Behrens, Janina, Karen Otte, Sebastian Mansow‐Model, et al.. (2016). Validity of visual perceptive computing for static posturography in patients with multiple sclerosis. Multiple Sclerosis Journal. 22(12). 1596–1606. 36 indexed citations
14.
Behrens, Janina, Karen Otte, Sebastian Mansow‐Model, et al.. (2016). Predicting Falls in Multiple Sclerosis: Utility of Visual Perceptive Computing (P2.131). Neurology. 86(16_supplement).
15.
Behrens, Janina, Karen Otte, Sebastian Mansow‐Model, Alexander U. Brandt, & Friedemann Paul. (2014). Kinect-Based Gait Analysis In Patients With Multiple Sclerosis (P3.135). Neurology. 82(10_supplement). 2 indexed citations
16.
Behrens, Janina, et al.. (2014). Using perceptive computing in multiple sclerosis - the Short Maximum Speed Walk test. Journal of NeuroEngineering and Rehabilitation. 11(1). 89–89. 47 indexed citations
17.
Pfueller, Caspar F., Karen Otte, Sebastian Mansow‐Model, Friedemann Paul, & Alexander U. Brandt. (2013). Kinect-Based Analysis of Posture, Gait and Coordination in Multiple Sclerosis Patients (P04.097). Neurology. 80(7_supplement).
18.
Otte, Karen, et al.. (2012). KINECT AND SHIMMER SENSORS IN MOTION ANALYSIS IN HEALTH APPLICATIONS. 226–231. 1 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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