Leonard V. Lopes

511 total citations
38 papers, 374 citations indexed

About

Leonard V. Lopes is a scholar working on Aerospace Engineering, Biomedical Engineering and Automotive Engineering. According to data from OpenAlex, Leonard V. Lopes has authored 38 papers receiving a total of 374 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Aerospace Engineering, 26 papers in Biomedical Engineering and 19 papers in Automotive Engineering. Recurrent topics in Leonard V. Lopes's work include Aerodynamics and Acoustics in Jet Flows (34 papers), Acoustic Wave Phenomena Research (25 papers) and Vehicle Noise and Vibration Control (19 papers). Leonard V. Lopes is often cited by papers focused on Aerodynamics and Acoustics in Jet Flows (34 papers), Acoustic Wave Phenomena Research (25 papers) and Vehicle Noise and Vibration Control (19 papers). Leonard V. Lopes collaborates with scholars based in United States, Ghana and Germany. Leonard V. Lopes's co-authors include Casey L. Burley, Kenneth S. Brentner, Joseph F. Horn, Stephen A. Rizzi, Philip J. Morris, Nikolas S. Zawodny, Justin S. Gray, Boris Diskin, D. Douglas Boyd and Thomas F. Brooks and has published in prestigious journals such as AIAA Journal, Journal of Aircraft and Journal of the American Helicopter Society.

In The Last Decade

Leonard V. Lopes

37 papers receiving 354 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Leonard V. Lopes United States	11	344	187	122	118	58	38	374
D. Douglas Boyd United States	12	405 1.2×	170 0.9×	85 0.7×	215 1.8×	37 0.6×	38	463
Kyle A. Pascioni United States	12	430 1.3×	156 0.8×	87 0.7×	243 2.1×	33 0.6×	34	496
Richard Gaeta United States	9	321 0.9×	188 1.0×	42 0.3×	200 1.7×	13 0.2×	46	398
Nathan Burnside United States	10	384 1.1×	170 0.9×	64 0.5×	193 1.6×	12 0.2×	34	424
Hanbo Jiang China	11	267 0.8×	162 0.9×	45 0.4×	119 1.0×	29 0.5×	42	311
E. A. Krejsa United States	13	476 1.4×	166 0.9×	99 0.8×	352 3.0×	19 0.3×	48	517
Robert Stoker United States	16	681 2.0×	350 1.9×	174 1.4×	271 2.3×	34 0.6×	22	729
Patricio A. Ravetta United States	13	438 1.3×	186 1.0×	97 0.8×	203 1.7×	12 0.2×	32	474
Henri Siller Germany	11	277 0.8×	152 0.8×	89 0.7×	121 1.0×	11 0.2×	49	314
Wim De Roeck Belgium	10	244 0.7×	228 1.2×	31 0.3×	127 1.1×	26 0.4×	67	332

Countries citing papers authored by Leonard V. Lopes

Since Specialization

Citations

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

Fields of papers citing papers by Leonard V. Lopes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonard V. Lopes. 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 Leonard V. Lopes. The network helps show where Leonard V. Lopes may publish in the future.

Co-authorship network of co-authors of Leonard V. Lopes

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

All Works

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20 of 20 papers shown

Boyd, D. Douglas, et al.. (2024). Prediction of Broadband Blade-Wake Back-Scatter Noise from a Hovering Ideally Twisted Rotor using OVERFLOW2-ANOPP2. 1 indexed citations

Rizzi, Stephen A., et al.. (2023). Prediction of Noise-Power-Distance Data for Urban Air Mobility Vehicles. Journal of Aircraft. 61(1). 166–182. 6 indexed citations

Lopes, Leonard V., et al.. (2023). Influence of the Perception, Observer Position, and Broadband Self-Noise on Low-Fidelity UAM Vehicle Perception-Influenced-Design (PID) Optimization. 1–16. 1 indexed citations

Rizzi, Stephen A., et al.. (2022). Prediction-Based Approaches for Generation of Noise-Power-Distance Data with Application to Urban Air Mobility Vehicles. 28th AIAA/CEAS Aeroacoustics 2022 Conference. 8 indexed citations

Zawodny, Nikolas S., et al.. (2021). Physics-informed Broadband Noise Source Identification and Prediction of an Ideally Twisted Rotor. AIAA Scitech 2021 Forum. 5 indexed citations

Baysal, Oktay, et al.. (2020). Toward Adjoint-Based Aeroacoustic Optimization for Propeller and Rotorcraft Applications. AIAA AVIATION 2020 FORUM. 10 indexed citations

Gray, Justin S., et al.. (2019). Gradient-Based Propeller Optimization with Acoustic Constraints. AIAA Scitech 2019 Forum. 15 indexed citations

Lopes, Leonard V.. (2017). Compact Assumption Applied to Monopole Term of Farassat’s Formulations. Journal of Aircraft. 54(5). 1649–1663. 21 indexed citations

Lopes, Leonard V., et al.. (2017). Identification of Spurious Signals from Permeable Ffowcs Williams and Hawkings Surfaces. NASA STI Repository (National Aeronautics and Space Administration). 1–17. 14 indexed citations

10.

Burley, Casey L. & Leonard V. Lopes. (2016). ANOPP2 User's Manual: Version 1.2. NASA STI Repository (National Aeronautics and Space Administration). 5 indexed citations

11.

Lopes, Leonard V.. (2015). Compact Assumption Applied to the Monopole Term of Farassat's Formulation. 5 indexed citations

12.

Bahr, Christopher J., Russell H. Thomas, Leonard V. Lopes, Casey L. Burley, & Dale E. Van Zante. (2014). Open Rotor Tone Shielding Methods for System Noise Assessments Using Multiple Databases. 52nd Aerospace Sciences Meeting. 4 indexed citations

13.

Burley, Casey L., Thomas F. Brooks, Florence V. Hutcheson, et al.. (2014). Noise Scaling and Community Noise Metrics for the Hybrid Wing Body Aircraft. NASA STI Repository (National Aeronautics and Space Administration). 18 indexed citations

14.

Thomas, Russell H., et al.. (2014). System Noise Assessment and the Potential for Low Noise Hybrid Wing Body Aircraft with Open Rotor Propulsion. 52nd Aerospace Sciences Meeting. 15 indexed citations

15.

Rizzi, Stephen A., et al.. (2014). Auralization of Hybrid Wing–Body Aircraft Flyover Noise from System Noise Predictions. Journal of Aircraft. 51(6). 1914–1926. 23 indexed citations

16.

Rizzi, Stephen A., et al.. (2013). Auralization of Hybrid Wing Body Aircraft Flyover Noise from System Noise Predictions. 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. 4 indexed citations

17.

Lopes, Leonard V., Kenneth S. Brentner, & Philip J. Morris. (2010). Framework for a Landing-Gear Model and Acoustic Prediction. Journal of Aircraft. 47(3). 763–774. 6 indexed citations

18.

Lopes, Leonard V., Kenneth S. Brentner, Philip J. Morris, & David P. Lockard. (2006). Increased Fidelity in Prediction Methods For Landing Gear Noise. NASA STI Repository (National Aeronautics and Space Administration). 6 indexed citations

19.

Brentner, Kenneth S., et al.. (2006). An Initial Analysis of Transient Noise in Rotorcraft Maneuvering Flight. International Journal of Aeroacoustics. 5(2). 109–138. 10 indexed citations

20.

Brentner, Kenneth S., et al.. (2004). A Study of Rotorcraft Noise Prediction in Maneuvering Flight. 42nd AIAA Aerospace Sciences Meeting and Exhibit. 9 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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