Martin Ullrich

911 total citations
23 papers, 299 citations indexed

About

Martin Ullrich is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Biomedical Engineering and Psychiatry and Mental health. According to data from OpenAlex, Martin Ullrich has authored 23 papers receiving a total of 299 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Physical Therapy, Sports Therapy and Rehabilitation, 10 papers in Biomedical Engineering and 9 papers in Psychiatry and Mental health. Recurrent topics in Martin Ullrich's work include Balance, Gait, and Falls Prevention (12 papers), Cerebral Palsy and Movement Disorders (9 papers) and Diabetic Foot Ulcer Assessment and Management (6 papers). Martin Ullrich is often cited by papers focused on Balance, Gait, and Falls Prevention (12 papers), Cerebral Palsy and Movement Disorders (9 papers) and Diabetic Foot Ulcer Assessment and Management (6 papers). Martin Ullrich collaborates with scholars based in Germany, Luxembourg and Canada. Martin Ullrich's co-authors include Bjoern M. Eskofier, Arne Küderle, Felix Kluge, Jochen Klucken, Franz Marxreiter, Nils Roth, Ulf Jensen, Stefan Gradl, Benno M. Nigg and M. Mohr and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Experimental Brain Research.

In The Last Decade

Martin Ullrich

22 papers receiving 292 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Martin Ullrich Germany 11 130 117 59 46 45 23 299
Karina Lebel Canada 11 135 1.0× 126 1.1× 33 0.6× 31 0.7× 48 1.1× 32 423
Eleni Grimpampi Italy 6 154 1.2× 184 1.6× 71 1.2× 64 1.4× 38 0.8× 9 308
Jennica L. Bellanca United States 7 139 1.1× 217 1.9× 112 1.9× 47 1.0× 47 1.0× 14 419
Stéphane Buffat France 9 136 1.0× 232 2.0× 82 1.4× 56 1.2× 60 1.3× 24 458
Nils Roth Germany 11 136 1.0× 138 1.2× 81 1.4× 68 1.5× 26 0.6× 21 324
John McCamley United States 11 210 1.6× 222 1.9× 54 0.9× 83 1.8× 69 1.5× 20 466
Flavien Quijoux France 8 106 0.8× 228 1.9× 77 1.3× 59 1.3× 79 1.8× 14 381
Robbin Romijnders Germany 11 126 1.0× 170 1.5× 91 1.5× 48 1.0× 17 0.4× 24 331
Julien Audiffren France 7 73 0.6× 164 1.4× 48 0.8× 42 0.9× 55 1.2× 27 308
A. M. S. Muniz Brazil 9 150 1.2× 78 0.7× 36 0.6× 39 0.8× 31 0.7× 10 332

Countries citing papers authored by Martin Ullrich

Since Specialization
Citations

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

Fields of papers citing papers by Martin Ullrich

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Martin Ullrich

This figure shows the co-authorship network connecting the top 25 collaborators of Martin Ullrich. A scholar is included among the top collaborators of Martin Ullrich 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 Martin Ullrich. Martin Ullrich 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.
Čigoja, Saša, et al.. (2025). Wearable-based estimation of continuous 3D knee moments during running using a convolutional neural network. Sports Biomechanics. 1–19. 2 indexed citations
2.
Küderle, Arne, Martin Ullrich, Nils Roth, et al.. (2024). Gaitmap—An Open Ecosystem for IMU-Based Human Gait Analysis and Algorithm Benchmarking. IEEE Open Journal of Engineering in Medicine and Biology. 5. 163–172. 5 indexed citations
3.
Ullrich, Martin, et al.. (2024). Clustering Runners’ Response to Different Midsole Stack Heights: A Field Study. Sensors. 24(14). 4694–4694. 3 indexed citations
4.
Ullrich, Martin, Felix Kluge, Martin Regensburger, et al.. (2023). Automated assessment of foot elevation in adults with hereditary spastic paraplegia using inertial measurements and machine learning. Orphanet Journal of Rare Diseases. 18(1). 249–249. 2 indexed citations
5.
Roth, Nils, Martin Ullrich, Arne Küderle, et al.. (2022). Real-World Stair Ambulation Characteristics Differ Between Prospective Fallers and Non-Fallers in Parkinson’s Disease. IEEE Journal of Biomedical and Health Informatics. 26(9). 4733–4742. 8 indexed citations
6.
Ullrich, Martin, Nils Roth, Arne Küderle, et al.. (2022). Fall Risk Prediction in Parkinson's Disease Using Real-World Inertial Sensor Gait Data. IEEE Journal of Biomedical and Health Informatics. 27(1). 319–328. 29 indexed citations
7.
Ullrich, Martin, Nils Roth, Felix Kluge, et al.. (2022). uTUG: An unsupervised Timed Up and Go test for Parkinson’s disease. Biomedical Signal Processing and Control. 81. 104394–104394. 7 indexed citations
8.
Kluge, Felix, Silvia Del Din, Andrea Cereatti, et al.. (2021). Consensus based framework for digital mobility monitoring. PLoS ONE. 16(8). e0256541–e0256541. 23 indexed citations
9.
Ullrich, Martin, Arne Küderle, Nils Roth, et al.. (2021). Detection of Unsupervised Standardized Gait Tests From Real-World Inertial Sensor Data in Parkinson’s Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 29. 2103–2111. 26 indexed citations
10.
Richer, Robert, Arne Küderle, Martin Ullrich, Nicolas Rohleder, & Bjoern M. Eskofier. (2021). BioPsyKit: A Python package for the analysis of biopsychological data. The Journal of Open Source Software. 6(66). 3702–3702. 13 indexed citations
11.
Roth, Nils, Arne Küderle, Martin Ullrich, et al.. (2021). Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson’s disease patients. Journal of NeuroEngineering and Rehabilitation. 18(1). 93–93. 29 indexed citations
12.
Ullrich, Martin, et al.. (2021). Machine learning-based distinction of left and right foot contacts in lower back inertial sensor gait data. 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). 2021. 5958–5961. 13 indexed citations
13.
Muaremi, Amir, Ieuan Clay, Felix Kluge, et al.. (2020). Robust Step Detection from Different Waist-Worn Sensor Positions: Implications for Clinical Studies. SHILAP Revista de lepidopterología. 4(Suppl. 1). 50–58. 6 indexed citations
14.
Ullrich, Martin, et al.. (2019). Unsupervised harmonic frequency-based gait sequence detection for Parkinson's disease. 7. 1–4. 4 indexed citations
15.
16.
Tscharner, Vinzenz von, et al.. (2018). Beta, gamma band, and high-frequency coherence of EMGs of vasti muscles caused by clustering of motor units. Experimental Brain Research. 236(11). 3065–3075. 15 indexed citations
17.
Tscharner, Vinzenz von, et al.. (2018). A wavelet based time frequency analysis of electromyograms to group steps of runners into clusters that contain similar muscle activation patterns. PLoS ONE. 13(4). e0195125–e0195125. 23 indexed citations
18.
Gradl, Stefan, et al.. (2018). Comparison of Different Algorithms for Calculating Velocity and Stride Length in Running Using Inertial Measurement Units. Sensors. 18(12). 4194–4194. 42 indexed citations
19.
Ullrich, Martin, et al.. (2002). Traffic estimation in Munich: practical problems and pragmatic solutions. 25b. 416–421. 4 indexed citations
20.
Rommel, Mathias, G. Zoth, Martin Ullrich, & H. Ryssel. (2001). Recombination Lifetimes of Iron-Contaminated Silicon Wafers: Characterization Using a Single Set of Capture Cross-Sections. Diffusion and defect data, solid state data. Part B, Solid state phenomena/Solid state phenomena. 82-84. 373–380. 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Karina Lebel Breakdown of academic impact, for papers by Eleni Grimpampi Breakdown of academic impact, for papers by Jennica L. Bellanca Breakdown of academic impact, for papers by Stéphane Buffat Breakdown of academic impact, for papers by Nils Roth Breakdown of academic impact, for papers by John McCamley Breakdown of academic impact, for papers by Flavien Quijoux Breakdown of academic impact, for papers by Robbin Romijnders Breakdown of academic impact, for papers by Julien Audiffren Breakdown of academic impact, for papers by A. M. S. Muniz
Rankless by CCL
2026