Eva Dorschky

614 total citations
19 papers, 367 citations indexed

About

Eva Dorschky is a scholar working on Biomedical Engineering, Physical Therapy, Sports Therapy and Rehabilitation and Orthopedics and Sports Medicine. According to data from OpenAlex, Eva Dorschky has authored 19 papers receiving a total of 367 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Biomedical Engineering, 9 papers in Physical Therapy, Sports Therapy and Rehabilitation and 3 papers in Orthopedics and Sports Medicine. Recurrent topics in Eva Dorschky's work include Balance, Gait, and Falls Prevention (9 papers), Non-Invasive Vital Sign Monitoring (4 papers) and Sports Performance and Training (3 papers). Eva Dorschky is often cited by papers focused on Balance, Gait, and Falls Prevention (9 papers), Non-Invasive Vital Sign Monitoring (4 papers) and Sports Performance and Training (3 papers). Eva Dorschky collaborates with scholars based in Germany, United States and Austria. Eva Dorschky's co-authors include Bjoern M. Eskofier, Antonie J. van den Bogert, Marlies Nitschke, Anne D. Koelewijn, Christine F. Martindale, Peter de Blank, Benjamin H. Groh, Valentina Camomilla, Peter Federolf and Sandro Wartzack and has published in prestigious journals such as Scientific Reports, Journal of Biomechanics and Joule.

In The Last Decade

Eva Dorschky

17 papers receiving 363 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva Dorschky Germany 10 240 105 82 50 36 19 367
Anne D. Koelewijn Germany 10 268 1.1× 115 1.1× 78 1.0× 19 0.4× 42 1.2× 31 366
Matteo Giuberti Italy 9 255 1.1× 132 1.3× 94 1.1× 31 0.6× 15 0.4× 18 425
Rachel V. Vitali United States 12 193 0.8× 141 1.3× 118 1.4× 29 0.6× 14 0.4× 26 413
Marlies Nitschke Germany 6 189 0.8× 89 0.8× 64 0.8× 28 0.6× 20 0.6× 13 258
Stéphane Buffat France 9 136 0.6× 232 2.2× 60 0.7× 56 1.1× 31 0.9× 24 458
Flavien Quijoux France 8 106 0.4× 228 2.2× 79 1.0× 59 1.2× 24 0.7× 14 381
Ian Sheret United Kingdom 4 152 0.6× 75 0.7× 47 0.6× 35 0.7× 15 0.4× 8 295
Laurie Needham United Kingdom 9 227 0.9× 109 1.0× 148 1.8× 75 1.5× 22 0.6× 24 431
Angelos Karatsidis Netherlands 4 282 1.2× 120 1.1× 99 1.2× 48 1.0× 14 0.4× 7 412
Myeounggon Lee South Korea 13 131 0.5× 176 1.7× 57 0.7× 34 0.7× 13 0.4× 40 413

Countries citing papers authored by Eva Dorschky

Since Specialization
Citations

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

Fields of papers citing papers by Eva Dorschky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Eva Dorschky

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

All Works

19 of 19 papers shown
1.
Koelewijn, Anne D., et al.. (2025). BioMAC-Sim-Toolbox: A MATLAB toolbox for biomechanical motion analysis and creation through simulation. The Journal of Open Source Software. 10(115). 7945–7945.
2.
Mueller, Jonas, Eréndira Rendón, Eva Dorschky, et al.. (2025). Advanced Millimeter Wave Radar-Based Human Pose Estimation Enabled by a Deep Learning Neural Network Trained With Optical Motion Capture Ground Truth Data. IEEE Journal of Microwaves. 5(2). 373–387.
3.
Dorschky, Eva, Marlies Nitschke, Matthias Mayer, et al.. (2025). Comparing sparse inertial sensor setups for sagittal-plane walking and running reconstructions. Frontiers in Bioengineering and Biotechnology. 13. 1507162–1507162. 3 indexed citations
4.
Ullrich, Martin, et al.. (2024). Clustering Runners’ Response to Different Midsole Stack Heights: A Field Study. Sensors. 24(14). 4694–4694. 3 indexed citations
5.
Küderle, Arne, et al.. (2024). Step Length and Gait Speed Estimation Using a Hearing Aid Integrated Accelerometer: A Comparison of Different Algorithms. IEEE Journal of Biomedical and Health Informatics. 28(11). 6619–6628. 5 indexed citations
6.
Nitschke, Marlies, Eva Dorschky, Sigrid Leyendecker, Bjoern M. Eskofier, & Anne D. Koelewijn. (2024). Estimating 3D kinematics and kinetics from virtual inertial sensor data through musculoskeletal movement simulations. Frontiers in Bioengineering and Biotechnology. 12. 1285845–1285845. 5 indexed citations
7.
Lüer, Larry, Ian Marius Peters, Ana‐Sunčana Smith, et al.. (2024). A digital twin to overcome long-time challenges in photovoltaics. Joule. 8(2). 295–311. 13 indexed citations
8.
Dorschky, Eva, et al.. (2023). EarGait: Estimation of Temporal Gait Parameters from Hearing Aid Integrated Inertial Sensors. Sensors. 23(14). 6565–6565. 13 indexed citations
9.
Dorschky, Eva, et al.. (2023). Plug-and-Play Sparse Inertial Motion Tracking With Sim-to-Real Transfer. IEEE Sensors Letters. 7(10). 1–4. 2 indexed citations
10.
Dorschky, Eva, Valentina Camomilla, Jesse Davis, et al.. (2022). Perspective on “in the wild” movement analysis using machine learning. Human Movement Science. 87. 103042–103042. 15 indexed citations
11.
Dorschky, Eva, Marlies Nitschke, Christine F. Martindale, et al.. (2020). CNN-Based Estimation of Sagittal Plane Walking and Running Biomechanics From Measured and Simulated Inertial Sensor Data. Frontiers in Bioengineering and Biotechnology. 8. 604–604. 90 indexed citations
12.
Nitschke, Marlies, Eva Dorschky, D. Heinrich, et al.. (2020). Efficient trajectory optimization for curved running using a 3D musculoskeletal model with implicit dynamics. Scientific Reports. 10(1). 17655–17655. 24 indexed citations
13.
Dorschky, Eva, et al.. (2019). Estimation of gait kinematics and kinetics from inertial sensor data using optimal control of musculoskeletal models. Journal of Biomechanics. 95. 109278–109278. 102 indexed citations
14.
Dorschky, Eva, et al.. (2019). Optimal control simulation predicts effects of midsole materials on energy cost of running. Computer Methods in Biomechanics & Biomedical Engineering. 22(8). 869–879. 20 indexed citations
15.
Koelewijn, Anne D., Eva Dorschky, & Antonie J. van den Bogert. (2018). A metabolic energy expenditure model with a continuous first derivative and its application to predictive simulations of gait. Computer Methods in Biomechanics & Biomedical Engineering. 21(8). 521–531. 25 indexed citations
16.
Blank, Peter de, Benjamin H. Groh, Christine F. Martindale, et al.. (2016). Blind path obstacle detector using smartphone camera and line laser emitter. 1–7. 10 indexed citations
17.
Richer, Robert, Benjamin H. Groh, Peter de Blank, et al.. (2016). Unobtrusive real-time heart rate variability analysis for the detection of orthostatic dysregulation. 189–193. 3 indexed citations
18.
Dorschky, Eva, et al.. (2016). Blood glucose level prediction based on support vector regression using mobile platforms. PubMed. 2016. 2990–2993. 26 indexed citations
19.
Dorschky, Eva, et al.. (2015). A framework for early event detection for wearable systems. 109–112. 8 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

Rankless by CCL
2026