Lars Schwickert

955 total citations
8 papers, 143 citations indexed

About

Lars Schwickert is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Lars Schwickert has authored 8 papers receiving a total of 143 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Physical Therapy, Sports Therapy and Rehabilitation, 4 papers in Computer Vision and Pattern Recognition and 4 papers in Biomedical Engineering. Recurrent topics in Lars Schwickert's work include Balance, Gait, and Falls Prevention (7 papers), Context-Aware Activity Recognition Systems (3 papers) and Gait Recognition and Analysis (3 papers). Lars Schwickert is often cited by papers focused on Balance, Gait, and Falls Prevention (7 papers), Context-Aware Activity Recognition Systems (3 papers) and Gait Recognition and Analysis (3 papers). Lars Schwickert collaborates with scholars based in Germany, United Kingdom and Italy. Lars Schwickert's co-authors include Clemens Becker, Walter Maetzler, Jochen Klenk, Wiebren Zijlstra, Klaus Hauer, Lorenzo Chiari, Chris Todd, Sabato Mellone, Kamiar Aminian and Matthis Synofzik and has published in prestigious journals such as Sensors, Frontiers in Bioengineering and Biotechnology and Gerontology.

In The Last Decade

Lars Schwickert

8 papers receiving 139 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lars Schwickert Germany	6	79	75	72	17	15	8	143
Rafael Caldas Brazil	4	123 1.6×	38 0.5×	187 2.6×	11 0.6×	45 3.0×	8	275
Andrew P. Creagh United Kingdom	7	32 0.4×	28 0.4×	42 0.6×	21 1.2×	35 2.3×	13	198
Aliénor Vienne France	6	103 1.3×	22 0.3×	74 1.0×	21 1.2×	40 2.7×	8	182
Thomas Jöllenbeck Germany	7	63 0.8×	13 0.2×	77 1.1×	3 0.2×	15 1.0×	24	177
Minh H. Pham Germany	8	117 1.5×	22 0.3×	52 0.7×	61 3.6×	74 4.9×	10	277
Jessica Maurer Canada	9	104 1.3×	19 0.3×	200 2.8×	7 0.4×	47 3.1×	9	334
Stefano Bertuletti Italy	6	25 0.3×	17 0.2×	34 0.5×	5 0.3×	9 0.6×	11	89
Luke Sy Australia	9	41 0.5×	10 0.1×	84 1.2×	6 0.4×	14 0.9×	13	258
Aleksandar Ignjatović Serbia	11	23 0.3×	30 0.4×	34 0.5×	1 0.1×	6 0.4×	35	337
Joseph Leitschuh United States	9	13 0.2×	18 0.2×	39 0.5×	2 0.1×	9 0.6×	13	373

Countries citing papers authored by Lars Schwickert

Since Specialization

Citations

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

Fields of papers citing papers by Lars Schwickert

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lars Schwickert

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

All Works

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8 of 8 papers shown

Keogh, Alison, Lisa Alcock, Philip M. Brown, et al.. (2023). Acceptability of wearable devices for measuring mobility remotely: Observations from the Mobilise-D technical validation study. Digital Health. 9. 579794457–579794457. 26 indexed citations

Bonci, Tecla, Francesca Salis, Kirsty Scott, et al.. (2022). An Algorithm for Accurate Marker-Based Gait Event Detection in Healthy and Pathological Populations During Complex Motor Tasks. Frontiers in Bioengineering and Biotechnology. 10. 868928–868928. 5 indexed citations

Lindemann, Ulrich, et al.. (2021). Estimate of gait speed by using persons’ walk ratio or step-frequency in older adults. Aging Clinical and Experimental Research. 33(11). 2989–2994. 2 indexed citations

Scott, Kirsty, Tecla Bonci, Lisa Alcock, et al.. (2021). A Quality Control Check to Ensure Comparability of Stereophotogrammetric Data between Sessions and Systems. Sensors. 21(24). 8223–8223. 2 indexed citations

Srulijes, Karin, Jochen Klenk, Michael Schwenk, et al.. (2019). Fall Risk in Relation to Individual Physical Activity Exposure in Patients with Different Neurodegenerative Diseases: a Pilot Study. The Cerebellum. 18(3). 340–348. 15 indexed citations

Schwickert, Lars, Jochen Klenk, Wiebren Zijlstra, et al.. (2017). Reading from the Black Box: What Sensors Tell Us about Resting and Recovery after Real-World Falls. Gerontology. 64(1). 90–95. 9 indexed citations

Klenk, Jochen, Lars Schwickert, Luca Palmerini, et al.. (2016). The FARSEEING real-world fall repository: a large-scale collaborative database to collect and share sensor signals from real-world falls. European Review of Aging and Physical Activity. 13(1). 8–8. 66 indexed citations

Klenk, Jochen, Lorenzo Chiari, Jorunn L. Helbostad, et al.. (2013). Development of a standard fall data format for signals from body-worn sensors. Zeitschrift für Gerontologie und Geriatrie. 46(8). 720–726. 18 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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