Kyle Nelson

554 total citations
22 papers, 412 citations indexed

About

Kyle Nelson is a scholar working on Aerospace Engineering, Automotive Engineering and Control and Systems Engineering. According to data from OpenAlex, Kyle Nelson has authored 22 papers receiving a total of 412 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Aerospace Engineering, 8 papers in Automotive Engineering and 8 papers in Control and Systems Engineering. Recurrent topics in Kyle Nelson's work include Vehicle Dynamics and Control Systems (7 papers), Real-time simulation and control systems (7 papers) and Aerospace and Aviation Technology (7 papers). Kyle Nelson is often cited by papers focused on Vehicle Dynamics and Control Systems (7 papers), Real-time simulation and control systems (7 papers) and Aerospace and Aviation Technology (7 papers). Kyle Nelson collaborates with scholars based in Australia, United Kingdom and Slovenia. Kyle Nelson's co-authors include Saeid Nahavandi, Shady Mohamed, Houshyar Asadi, Arash Mohammadi, Navid Mohajer, Hamid Abdi, Asim Bhatti, Jinwei Shen, C. Alejandro Párraga and Mohammed Hossny and has published in prestigious journals such as Expert Systems with Applications, Journal of Sound and Vibration and IEEE Transactions on Cybernetics.

In The Last Decade

Kyle Nelson

19 papers receiving 401 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kyle Nelson Australia 11 178 174 170 76 56 22 412
Mattia Bruschetta Italy 11 224 1.3× 169 1.0× 142 0.8× 36 0.5× 36 0.6× 44 364
Michael Jump United Kingdom 13 134 0.8× 55 0.3× 408 2.4× 149 2.0× 47 0.8× 80 585
Iakovos Papadimitriou United States 10 208 1.2× 174 1.0× 42 0.2× 10 0.1× 117 2.1× 18 366
Paweł Rzucidło Poland 11 138 0.8× 65 0.4× 233 1.4× 24 0.3× 51 0.9× 65 333
Sisir Karumanchi United States 10 159 0.9× 139 0.8× 103 0.6× 48 0.6× 164 2.9× 22 418
Sterling J. Anderson United States 6 197 1.1× 264 1.5× 40 0.2× 41 0.5× 144 2.6× 11 370
Sebastian Klemm Germany 9 153 0.9× 107 0.6× 131 0.8× 14 0.2× 237 4.2× 14 364
Jay Gowdy United States 9 71 0.4× 126 0.7× 89 0.5× 20 0.3× 147 2.6× 17 367
Kun Qian China 9 46 0.3× 79 0.5× 32 0.2× 5 0.1× 26 0.5× 36 335
P. Setlur United States 13 304 1.7× 211 1.2× 78 0.5× 9 0.1× 66 1.2× 14 534

Countries citing papers authored by Kyle Nelson

Since Specialization
Citations

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

Fields of papers citing papers by Kyle Nelson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kyle Nelson

This figure shows the co-authorship network connecting the top 25 collaborators of Kyle Nelson. A scholar is included among the top collaborators of Kyle Nelson 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 Kyle Nelson. Kyle Nelson 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.
Nelson, Kyle, et al.. (2025). Finite element modelling and experimental validation of two-roller vertical forward flow forming process of EN36B steel. Advances in Engineering Software. 212. 104063–104063.
2.
3.
Nelson, Kyle, et al.. (2025). Sustainable manufacturing of maraging steel seamless tube via flow forming: structure–property relations. Archives of Civil and Mechanical Engineering. 25(3). 1 indexed citations
4.
Nelson, Kyle & Jinwei Shen. (2023). Multi-Propeller Whirl Flutter Stability Study Using Component Mode Synthesis Element. AIAA SCITECH 2023 Forum. 1 indexed citations
5.
Nelson, Kyle & Jinwei Shen. (2022). Propeller Whirl Flutter Study using Multibody Dynamics Analysis with Component Mode Synthesis Element. AIAA SCITECH 2022 Forum. 1 indexed citations
6.
Nelson, Kyle & Jinwei Shen. (2021). Whirl Flutter Stability of A Foldable Propeller on Flexible Nacelle using Multibody Dynamics Analysis. AIAA Scitech 2021 Forum. 2 indexed citations
7.
Mohammadi, Arash, Houshyar Asadi, Shady Mohamed, Kyle Nelson, & Saeid Nahavandi. (2018). Multiobjective and Interactive Genetic Algorithms for Weight Tuning of a Model Predictive Control-Based Motion Cueing Algorithm. IEEE Transactions on Cybernetics. 49(9). 3471–3481. 83 indexed citations
8.
Mohammadi, Arash, Houshyar Asadi, Shady Mohamed, Kyle Nelson, & Saeid Nahavandi. (2017). OpenGA, a C++ Genetic Algorithm Library. 2051–2056. 42 indexed citations
9.
Mohajer, Navid, Hamid Abdi, Saeid Nahavandi, & Kyle Nelson. (2017). Directional and sectional ride comfort estimation using an integrated human biomechanical-seat foam model. Journal of Sound and Vibration. 403. 38–58. 28 indexed citations
10.
Mohammadi, Arash, Houshyar Asadi, Shady Mohamed, Kyle Nelson, & Saeid Nahavandi. (2017). Optimizing Model Predictive Control horizons using Genetic Algorithm for Motion Cueing Algorithm. Expert Systems with Applications. 92. 73–81. 44 indexed citations
11.
Mohajer, Navid, Hamid Abdi, Kyle Nelson, & Saeid Nahavandi. (2017). On the simulation-based objective estimation of road vehicle ride comfort. 159–165. 12 indexed citations
12.
Mohammadi, Arash, Houshyar Asadi, Shady Mohamed, Kyle Nelson, & Saeid Nahavandi. (2016). Future reference prediction in model predictive control based driving simulators. Deakin Research Online (Deakin University). 30 indexed citations
13.
Tipa, Gail, et al.. (2016). Policy responses to the identification by Maori of flows necessary to maintain their cultural values. 552. 2 indexed citations
14.
Mohammadi, Arash, Houshyar Asadi, Shady Mohamed, Kyle Nelson, & Saeid Nahavandi. (2016). MPC-based motion cueing algorithm with short prediction horizon using exponential weighting. 521–526. 38 indexed citations
15.
Mohajer, Navid, Hamid Abdi, Kyle Nelson, & Saeid Nahavandi. (2015). Vehicle motion simulators, a key step towards road vehicle dynamics improvement. Vehicle System Dynamics. 53(8). 1204–1226. 40 indexed citations
16.
Asadi, Houshyar, et al.. (2015). An optimal washout filter based on genetic algorithm compensators for improving simulator driver perception. Own your potential (DEAKIN). 1–10. 33 indexed citations
17.
Asadi, Houshyar, Shady Mohamed, Kyle Nelson, & Saeid Nahavandi. (2014). A linear quadratic optimal motion cueing algorithm based on human perception. Deakin Research Online (Deakin University). 1–9. 28 indexed citations
18.
Nelson, Kyle, Asim Bhatti, & Saeid Nahavandi. (2012). Performance Evaluation of Multi-Frame Super-Resolution Algorithms. 1–8. 18 indexed citations
19.
Nelson, Kyle, et al.. (2010). A simulation-based control interface layer for a high-fidelity anthropomorphic training simulator. Deakin Research Online (Deakin University). 2 indexed citations
20.
Troscianko, T., et al.. (1996). Spatio-Chromatic Information Content of Natural Scenes. Perception. 25(1_suppl). 162–162. 3 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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