Rod Self

1.0k total citations · 1 hit paper
42 papers, 772 citations indexed

About

Rod Self is a scholar working on Aerospace Engineering, Computational Mechanics and Biomedical Engineering. According to data from OpenAlex, Rod Self has authored 42 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Aerospace Engineering, 21 papers in Computational Mechanics and 17 papers in Biomedical Engineering. Recurrent topics in Rod Self's work include Aerodynamics and Acoustics in Jet Flows (31 papers), Fluid Dynamics and Turbulent Flows (18 papers) and Acoustic Wave Phenomena Research (16 papers). Rod Self is often cited by papers focused on Aerodynamics and Acoustics in Jet Flows (31 papers), Fluid Dynamics and Turbulent Flows (18 papers) and Acoustic Wave Phenomena Research (16 papers). Rod Self collaborates with scholars based in United Kingdom, Brazil and United States. Rod Self's co-authors include Antonio J. Torija, Athanasios P. Synodinos, Jack Lawrence, Steven R. H. Barrett, Khan Doyme, Lynnette Dray, Aïdan O'Sullivan, Andreas Schäfer, Albert R. Gnadt and Mahdi Azarpeyvand and has published in prestigious journals such as The Journal of the Acoustical Society of America, Nature Energy and AIAA Journal.

In The Last Decade

Rod Self

41 papers receiving 742 citations

Hit Papers

Technological, economic and environmental prospects of al... 2018 2026 2020 2023 2018 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Technological, economic and environmental prospects of all-electric aircraft
    2018 331 citations Andreas Schäfer, Steven R. H. Barrett et al. Nature Energy profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rod Self United Kingdom 13 419 238 184 179 168 42 772
Albert R. Gnadt United States 4 150 0.4× 228 1.0× 278 1.5× 21 0.1× 10 0.1× 4 529
Frederico Afonso Portugal 11 363 0.9× 105 0.4× 171 0.9× 28 0.2× 157 0.9× 40 620
Savita Verma United States 11 329 0.8× 119 0.5× 15 0.1× 27 0.2× 11 0.1× 41 568
Utku Kale Hungary 13 115 0.3× 56 0.2× 79 0.4× 45 0.3× 24 0.1× 67 389
Dong Wu China 16 193 0.5× 28 0.1× 42 0.2× 24 0.1× 26 0.2× 51 625
Xin Shan China 16 104 0.2× 40 0.2× 15 0.1× 55 0.3× 13 0.1× 53 765
Álvaro Rodríguez–Sanz Spain 12 257 0.6× 31 0.1× 17 0.1× 184 1.0× 70 0.4× 45 558
Jianjun Wang China 16 265 0.6× 51 0.2× 10 0.1× 112 0.6× 122 0.7× 108 781
Ralph T. Muehleisen United States 12 77 0.2× 33 0.1× 12 0.1× 102 0.6× 21 0.1× 69 527
Mario L. Ferrari Italy 25 263 0.6× 72 0.3× 80 0.4× 160 0.9× 131 0.8× 105 1.7k

Countries citing papers authored by Rod Self

Since Specialization
Citations

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

Fields of papers citing papers by Rod Self

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rod Self

This figure shows the co-authorship network connecting the top 25 collaborators of Rod Self. A scholar is included among the top collaborators of Rod Self 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 Rod Self. Rod Self 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.
Torija, Antonio J., Zhengguang Li, & Rod Self. (2020). Effects of a hovering Unmanned Aerial Vehicle on urban soundscapes perception. University of Salford Institutional Repository (University of Salford). 79 indexed citations
2.
Wang, Zhong-Nan, et al.. (2020). Large-Eddy-Simulation Prediction of an Installed Jet Flow and Noise with Experimental Validation. AIAA Journal. 58(6). 2494–2503. 16 indexed citations
3.
Lawrence, Jack, et al.. (2019). Experimental Investigation into the Turbulence Flow Field of In-Flight Jets. ePrints Soton (University of Southampton). 1 indexed citations
4.
Synodinos, Athanasios P., Rod Self, & Antonio J. Torija. (2018). Preliminary Noise Assessment of Aircraft with Distributed Electric Propulsion. University of Salford Institutional Repository (University of Salford). 11 indexed citations
5.
Schäfer, Andreas, Steven R. H. Barrett, Khan Doyme, et al.. (2018). Technological, economic and environmental prospects of all-electric aircraft. Nature Energy. 4(2). 160–166. 331 indexed citations breakdown →
6.
Torija, Antonio J. & Rod Self. (2018). Aircraft classification for efficient modelling of environmental noise impact of aviation. Journal of Air Transport Management. 67. 157–168. 25 indexed citations
7.
Lawrence, Jack, et al.. (2017). A Survey of the Turbulence Statistics of a Model-Scale Installed Jet at Low and Moderate Mach Numbers. ePrints Soton (University of Southampton). 5 indexed citations
8.
Torija, Antonio J., Rod Self, & Ian H. Flindell. (2017). Simplified airport noise models for integrated environmental impact assessment of aviation. The Journal of the Acoustical Society of America. 141(5_Supplement). 3881–3881. 1 indexed citations
9.
10.
Lawrence, Jack, et al.. (2015). Experimental study on the aerodynamics of a high subsonic jet interacting with a flat plate. Proceedings of the ... International Congress of Mechanical Engineering. 2 indexed citations
11.
Self, Rod, et al.. (2014). A Complex Ray-Tracing Tool for High-Frequency Mean-Field Flow Interaction Effects in Jets. ePrints Soton (University of Southampton). 4 indexed citations
12.
Azarpeyvand, Mahdi, Mohammad Amin Alibakhshi, & Rod Self. (2012). Effects of multi-scattering on the performance of a single-beam acoustic manipulation device. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 59(8). 1741–1749. 8 indexed citations
13.
14.
Lawrence, Jack, Mahdi Azarpeyvand, & Rod Self. (2011). Interaction between a Flat Plate and a Circular Subsonic Jet. ePrints Soton (University of Southampton). 56 indexed citations
15.
Meneghini, Júlio Romano, et al.. (2011). Aeroacoustics investigation of the noise from an asymmetric nozzle. Explore Bristol Research. 341–348. 1 indexed citations
16.
Self, Rod & Mahdi Azarpeyvand. (2009). Jet noise prediction using different turbulent scales. Acoustical Physics. 55(3). 433–440. 4 indexed citations
17.
Self, Rod & Mahdi Azarpeyvand. (2008). Utilization of Turbulent Energy Transfer Rate Time-Scale in Aeroacoustics with Application to Heated Jets. International Journal of Aeroacoustics. 7(2). 83–102. 6 indexed citations
18.
19.
Self, Rod & Mahdi Azarpeyvand. (2007). Noise Prediction of a Coaxial Jet Using Energy Transfer Rate Time-Scale. 1 indexed citations
20.
Page, Gary, et al.. (2003). A CFD Coupled Acoustics Approach for Coaxial Jet Noise. 12 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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