Peter Dabnichki

1.9k total citations
69 papers, 1.3k citations indexed

About

Peter Dabnichki is a scholar working on Orthopedics and Sports Medicine, Biomedical Engineering and Aerospace Engineering. According to data from OpenAlex, Peter Dabnichki has authored 69 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Orthopedics and Sports Medicine, 17 papers in Biomedical Engineering and 16 papers in Aerospace Engineering. Recurrent topics in Peter Dabnichki's work include Biomimetic flight and propulsion mechanisms (16 papers), Sports Performance and Training (12 papers) and Aerospace Engineering and Energy Systems (11 papers). Peter Dabnichki is often cited by papers focused on Biomimetic flight and propulsion mechanisms (16 papers), Sports Performance and Training (12 papers) and Aerospace Engineering and Energy Systems (11 papers). Peter Dabnichki collaborates with scholars based in Australia, United Kingdom and Austria. Peter Dabnichki's co-authors include Mahadi Hasan Masud, M. La Mantia, Siobhán Strike, Anan Ashrabi Ananno, Matthew Taylor, Arnold Baca, Mike Lauder, Philipp Kornfeind, Mario Heller and Eldad Avital and has published in prestigious journals such as Energy, Journal of Biomechanics and Journal of Environmental Management.

In The Last Decade

Peter Dabnichki

68 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Peter Dabnichki Australia 21 291 222 217 126 122 69 1.3k
Franz Konstantin Fuss Australia 27 1.0k 3.5× 54 0.2× 791 3.6× 44 0.3× 105 0.9× 196 2.7k
Anwar P. P. Abdul Majeed Malaysia 19 366 1.3× 20 0.1× 104 0.5× 43 0.3× 31 0.3× 135 1.8k
Gusztáv Fekete Hungary 27 613 2.1× 58 0.3× 478 2.2× 53 0.4× 80 0.7× 161 2.2k
Olga Troynikov Australia 19 322 1.1× 63 0.3× 75 0.3× 45 0.4× 21 0.2× 70 1.1k
Miguel Silva Portugal 24 576 2.0× 82 0.4× 164 0.8× 140 1.1× 117 1.0× 82 2.1k
Zahari Taha Malaysia 17 288 1.0× 40 0.2× 149 0.7× 20 0.2× 62 0.5× 105 913
Xiaoan Chen China 20 265 0.9× 39 0.2× 21 0.1× 37 0.3× 38 0.3× 106 1.3k
Yoshio INOUE Japan 21 885 3.0× 107 0.5× 69 0.3× 23 0.2× 290 2.4× 155 1.8k
Hiroshi Takemura Japan 16 399 1.4× 66 0.3× 37 0.2× 11 0.1× 66 0.5× 229 1.2k
Masaaki Mochimaru Japan 22 663 2.3× 62 0.3× 256 1.2× 210 1.7× 193 1.6× 177 1.9k

Countries citing papers authored by Peter Dabnichki

Since Specialization
Citations

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

Fields of papers citing papers by Peter Dabnichki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Peter Dabnichki

This figure shows the co-authorship network connecting the top 25 collaborators of Peter Dabnichki. A scholar is included among the top collaborators of Peter Dabnichki 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 Peter Dabnichki. Peter Dabnichki 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.
Masud, Mahadi Hasan, et al.. (2025). Performance Analysis of Little Penguin Wing for the Application in Microair Vehicles: A Numerical and Experimental Approach. International Journal of Aerospace Engineering. 2025(1).
2.
Exel, Juliana & Peter Dabnichki. (2024). Precision Sports Science: What Is Next for Data Analytics for Athlete Performance and Well-Being Optimization?. Applied Sciences. 14(8). 3361–3361. 12 indexed citations
3.
Masud, Mahadi Hasan, et al.. (2024). Energy, exergy, exergo-economic and exergo-environmental analysis of waste heat-based convective dryer. Energy. 312. 133632–133632. 4 indexed citations
4.
Langer, A., Clint Hansen, Dominik von Roth, et al.. (2024). Vertical locomotion improves horizontal locomotion: effects of climbing on gait and other mobility aspects in Parkinson’s disease. A secondary analysis from a randomized controlled trial. Journal of NeuroEngineering and Rehabilitation. 21(1). 63–63. 3 indexed citations
5.
Dabnichki, Peter & Toh Yen Pang. (2024). Wearable Sensors and Motion Analysis for Neurological Patient Support. Biosensors. 14(12). 628–628. 4 indexed citations
6.
Masud, Mahadi Hasan & Peter Dabnichki. (2024). Biomechanical analysis of little penguins’ underwater locomotion from the free-ranging dive data. Biology Open. 13(5). 3 indexed citations
7.
Langer, A., Dominik von Roth, Rochus Pokan, et al.. (2023). Climb up! Head up! Climbing improves posture in Parkinson's disease. A secondary analysis from a randomized controlled trial. Clinical Rehabilitation. 37(11). 1492–1500. 3 indexed citations
8.
Langer, A., Rochus Pokan, Peter Dabnichki, et al.. (2021). A randomised controlled trial on effectiveness and feasibility of sport climbing in Parkinson’s disease. npj Parkinson s Disease. 7(1). 49–49. 11 indexed citations
9.
Ananno, Anan Ashrabi, et al.. (2019). Design and numerical analysis of a hybrid geothermal PCM flat plate solar collector dryer for developing countries. Solar Energy. 196. 270–286. 87 indexed citations
10.
Kumar, Dinesh, et al.. (2017). Distinguishing Different Stages of Parkinson’s Disease Using Composite Index of Speed and Pen-Pressure of Sketching a Spiral. Frontiers in Neurology. 8. 435–435. 96 indexed citations
11.
Mantia, M. La & Peter Dabnichki. (2011). Effect of the wing shape on the thrust of flapping wing. Applied Mathematical Modelling. 35(10). 4979–4990. 22 indexed citations
12.
Baca, Arnold, Peter Dabnichki, Mario Heller, & Philipp Kornfeind. (2009). Ubiquitous computing in sports: A review and analysis. Journal of Sports Sciences. 27(12). 1335–1346. 85 indexed citations
13.
Mantia, M. La & Peter Dabnichki. (2008). Unsteady 3D Boundary Element Method for Oscillating Wing. Computer Modeling in Engineering & Sciences. 33(2). 131–154. 9 indexed citations
14.
Djumanov, Dilshat, et al.. (2008). Pervasive computing systems for medical monitoring. 168–171. 1 indexed citations
15.
Dabnichki, Peter, et al.. (2006). Application of Boundary Element Method to Modelling of Added Mass and Its Effect on Hydrodynamic Forces. Computer Modeling in Engineering & Sciences. 15(2). 87–98. 8 indexed citations
16.
Taylor, M. J., Siobhán Strike, & Peter Dabnichki. (2006). Turning bias and lateral dominance in a sample of able-bodied and amputee participants. Laterality Asymmetries of Body Brain and Cognition. 12(1). 50–63. 22 indexed citations
17.
Dabnichki, Peter, et al.. (2005). Analytical Approach to Cell Geometry Description. Cmc-computers Materials & Continua. 2(1). 97–104. 2 indexed citations
18.
Taylor, Matthew, Peter Dabnichki, & Siobhán Strike. (2005). A three-dimensional biomechanical comparison between turning strategies during the stance phase of walking. Human Movement Science. 24(4). 558–573. 146 indexed citations
19.
Dabnichki, Peter, et al.. (2005). On hydrodynamics of drag and lift of the human arm. Journal of Biomechanics. 39(15). 2767–2773. 38 indexed citations
20.
Dabnichki, Peter, et al.. (1997). Accuracy evaluation of an on-line kinematic system via dynamic tests. Journal of Medical Engineering & Technology. 21(2). 53–66. 15 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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