Daniel Nolte

559 total citations
15 papers, 407 citations indexed

About

Daniel Nolte is a scholar working on Surgery, Biomedical Engineering and Epidemiology. According to data from OpenAlex, Daniel Nolte has authored 15 papers receiving a total of 407 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Surgery, 7 papers in Biomedical Engineering and 5 papers in Epidemiology. Recurrent topics in Daniel Nolte's work include Shoulder Injury and Treatment (5 papers), Muscle activation and electromyography studies (3 papers) and Bone fractures and treatments (3 papers). Daniel Nolte is often cited by papers focused on Shoulder Injury and Treatment (5 papers), Muscle activation and electromyography studies (3 papers) and Bone fractures and treatments (3 papers). Daniel Nolte collaborates with scholars based in United Kingdom, Germany and Netherlands. Daniel Nolte's co-authors include Anthony M. J. Bull, Angela E. Kedgley, Ziyun Ding, Ulrich Simon, Frank Niemeyer, Christian Klemt, Tim Wehner, L. Claes, Peter Reilly and Michael Damsgaard and has published in prestigious journals such as Biochemical and Biophysical Research Communications, Journal of Biomechanics and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Daniel Nolte

15 papers receiving 404 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniel Nolte United Kingdom 12 249 173 139 49 34 15 407
Masayuki Kawada Japan 10 207 0.8× 65 0.4× 56 0.4× 42 0.9× 42 1.2× 33 408
Satoshi Oki Japan 13 448 1.8× 52 0.3× 317 2.3× 72 1.5× 25 0.7× 53 551
Kajeandra Ravichandiran Canada 13 409 1.6× 117 0.7× 229 1.6× 93 1.9× 24 0.7× 19 585
Konstantinos Markatos Greece 10 261 1.0× 92 0.5× 25 0.2× 50 1.0× 15 0.4× 53 414
Penny R. Atkins United States 14 368 1.5× 214 1.2× 30 0.2× 147 3.0× 9 0.3× 43 560
Christopher Wilson Australia 13 506 2.0× 109 0.6× 42 0.3× 20 0.4× 8 0.2× 24 620
W. J. Gaine United Kingdom 10 327 1.3× 212 1.2× 41 0.3× 26 0.5× 12 0.4× 13 542
Federico Fusini Italy 13 375 1.5× 50 0.3× 57 0.4× 166 3.4× 7 0.2× 65 527
Se‐Won Lee South Korea 10 220 0.9× 32 0.2× 53 0.4× 71 1.4× 10 0.3× 57 320
Dev K. Mishra United States 6 386 1.6× 142 0.8× 130 0.9× 202 4.1× 53 1.6× 8 523

Countries citing papers authored by Daniel Nolte

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Nolte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Nolte

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

All Works

15 of 15 papers shown
1.
Nolte, Daniel, et al.. (2023). 3D shape reconstruction of the femur from planar X-ray images using statistical shape and appearance models. BioMedical Engineering OnLine. 22(1). 30–30. 5 indexed citations
2.
Nolte, Daniel, et al.. (2020). Reconstruction of the lower limb bones from digitised anatomical landmarks using statistical shape modelling. Gait & Posture. 77. 269–275. 28 indexed citations
3.
Ding, Ziyun, et al.. (2019). Improving Musculoskeletal Model Scaling Using an Anatomical Atlas: The Importance of Gender and Anthropometric Similarity to Quantify Joint Reaction Forces. IEEE Transactions on Biomedical Engineering. 66(12). 3444–3456. 28 indexed citations
4.
Klemt, Christian, Daniel Nolte, Ziyun Ding, et al.. (2019). Anthropometric Scaling of Anatomical Datasets for Subject-Specific Musculoskeletal Modelling of the Shoulder. Annals of Biomedical Engineering. 47(4). 924–936. 19 indexed citations
5.
Klemt, Christian, et al.. (2019). The critical size of a defect in the glenoid causing anterior instability of the shoulder after a Bankart repair, under physiological joint loading. The Bone & Joint Journal. 101-B(1). 68–74. 23 indexed citations
6.
Nolte, Daniel & Anthony M. J. Bull. (2019). Femur finite element model instantiation from partial anatomies using statistical shape and appearance models. Medical Engineering & Physics. 67(1). 55–65. 13 indexed citations
7.
Klemt, Christian, et al.. (2018). Analysis of shoulder compressive and shear forces during functional activities of daily life. Clinical Biomechanics. 54. 34–41. 29 indexed citations
8.
Andersen, Michael Skipper, Mark de Zee, Michael Damsgaard, Daniel Nolte, & John Rasmussen. (2017). Introduction to Force-Dependent Kinematics: Theory and Application to Mandible Modeling. Journal of Biomechanical Engineering. 139(9). 55 indexed citations
9.
Klemt, Christian, et al.. (2017). The contribution of the glenoid labrum to glenohumeral stability under physiological joint loading using finite element analysis. Computer Methods in Biomechanics & Biomedical Engineering. 20(15). 1613–1622. 15 indexed citations
10.
Nolte, Daniel, et al.. (2016). Non-linear scaling of a musculoskeletal model of the lower limb using statistical shape models. Journal of Biomechanics. 49(14). 3576–3581. 32 indexed citations
11.
González, Gerardo, Daniel Nolte, Adam J. Lewandowski, et al.. (2015). Improving the stratification power of cardiac ventricular shape. Journal of Cardiovascular Magnetic Resonance. 17. O77–O77. 1 indexed citations
12.
Koulouzis, Spiros, Adam Belloum, Marian Bubak, et al.. (2015). Distributed Data Management Service for VPH Applications. IEEE Internet Computing. 20(2). 34–41. 7 indexed citations
13.
Ding, Ziyun, et al.. (2015). In Vivo Knee Contact Force Prediction Using Patient-Specific Musculoskeletal Geometry in a Segment-Based Computational Model. Journal of Biomechanical Engineering. 138(2). 21018–21018. 46 indexed citations
14.
Wehner, Tim, L. Claes, Frank Niemeyer, Daniel Nolte, & Ulrich Simon. (2010). Influence of the fixation stability on the healing time — A numerical study of a patient-specific fracture healing process. Clinical Biomechanics. 25(6). 606–612. 66 indexed citations
15.
Ruppert, Volker, Daniel Nolte, T. Aschenbrenner, et al.. (2004). Novel point mutations in the mitochondrial DNA detected in patients with dilated cardiomyopathy by screening the whole mitochondrial genome. Biochemical and Biophysical Research Communications. 318(2). 535–543. 40 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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