Ryan May

592 total citations
27 papers, 454 citations indexed

About

Ryan May is a scholar working on Aerospace Engineering, Global and Planetary Change and Control and Systems Engineering. According to data from OpenAlex, Ryan May has authored 27 papers receiving a total of 454 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Aerospace Engineering, 10 papers in Global and Planetary Change and 7 papers in Control and Systems Engineering. Recurrent topics in Ryan May's work include Advanced Aircraft Design and Technologies (10 papers), Rocket and propulsion systems research (8 papers) and Aerospace and Aviation Technology (7 papers). Ryan May is often cited by papers focused on Advanced Aircraft Design and Technologies (10 papers), Rocket and propulsion systems research (8 papers) and Aerospace and Aviation Technology (7 papers). Ryan May collaborates with scholars based in United States. Ryan May's co-authors include Ten-Huei Guo, Jonathan S. Litt, Jeffrey Csank, Jeffryes W. Chapman, Sanjay Garg, Philip C. E. Jorgenson, Timothy Dever, Raymond Beach, William Wright and Kenneth A. Loparo and has published in prestigious journals such as SLEEP, IEEE Transactions on Control Systems Technology and SAE technical papers on CD-ROM/SAE technical paper series.

In The Last Decade

Ryan May

27 papers receiving 447 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ryan May United States 11 260 217 173 118 55 27 454
Jeffrey Csank United States 12 263 1.0× 236 1.1× 206 1.2× 141 1.2× 66 1.2× 48 495
Qiangang Zheng China 16 265 1.0× 294 1.4× 148 0.9× 200 1.7× 134 2.4× 67 621
Jimmy C. Tai United States 14 236 0.9× 58 0.3× 285 1.6× 106 0.9× 63 1.1× 55 436
George Kopasakis United States 11 131 0.5× 83 0.4× 33 0.2× 71 0.6× 132 2.4× 41 295
Xian Du China 11 76 0.3× 242 1.1× 40 0.2× 55 0.5× 29 0.5× 52 355
John C. DeLaat United States 11 128 0.5× 151 0.7× 31 0.2× 113 1.0× 154 2.8× 37 340
Peter Schmollgruber France 9 157 0.6× 33 0.2× 174 1.0× 37 0.3× 36 0.7× 15 245
Robert Falck United States 12 209 0.8× 35 0.2× 101 0.6× 17 0.1× 43 0.8× 39 312
Zhanxue Wang China 15 363 1.4× 47 0.2× 112 0.6× 95 0.8× 381 6.9× 71 625
Sabrina Corpino Italy 12 369 1.4× 77 0.4× 71 0.4× 18 0.2× 7 0.1× 91 487

Countries citing papers authored by Ryan May

Since Specialization
Citations

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

Fields of papers citing papers by Ryan May

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ryan May

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan May. A scholar is included among the top collaborators of Ryan May 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 Ryan May. Ryan May 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.
Prica, Marija, et al.. (2023). Installation and Testing of a Two-Level Model Predictive Control Building Energy Management System. IEEE Transactions on Control Systems Technology. 32(2). 326–339. 4 indexed citations
2.
May, Ryan, et al.. (2015). Highly distributed state estimation for a DC spacecraft power system. 1–5. 1 indexed citations
3.
Chapman, Jeffryes W., et al.. (2014). Toolbox for the Modeling and Analysis of Thermodynamic Systems (T-MATS) User's Guide. NASA Technical Reports Server (NASA). 39 indexed citations
4.
Chapman, Jeffryes W., et al.. (2014). Propulsion System Simulation Using the Toolbox for the Modeling and Analysis of Thermodynamic Systems (T MATS). 50th AIAA/ASME/SAE/ASEE Joint Propulsion Conference. 62 indexed citations
5.
6.
Chapman, Jeffryes W., et al.. (2014). Cantera Integration with the Toolbox for Modeling and Analysis of Thermodynamic Systems %28T-MATS%29. NASA Technical Reports Server (NASA). 2 indexed citations
7.
Dever, Timothy, Ryan May, & Paul Morris. (2014). Autonomous Spacecraft Communication Interface for Load Planning. NASA Technical Reports Server (NASA). 3 indexed citations
8.
May, Ryan, et al.. (2014). An Architecture to Enable Autonomous Control of a Spacecraft. NASA Technical Reports Server (NASA). 7 indexed citations
9.
May, Ryan & Kenneth A. Loparo. (2014). The Use of Software Agents for Autonomous Control of a DC Space Power System. NASA STI Repository (National Aeronautics and Space Administration). 4 indexed citations
10.
May, Ryan, Donald L. Simon, & Ten-Huei Guo. (2012). Modeling and Detection of Ice Particle Accretion in Aircraft Engine Compression Systems. AIAA Atmospheric Flight Mechanics Conference. 3 indexed citations
11.
May, Ryan & Sanjay Garg. (2012). Reducing Conservatism in Aircraft Engine Response Using Conditionally Active Min-Max Limit Regulators. NASA STI Repository (National Aeronautics and Space Administration). 959–968. 32 indexed citations
12.
Litt, Jonathan S., et al.. (2012). Pilot-in-the-Loop Evaluation of a Yaw Rate to Throttle Feedback Control with Enhanced Engine Response. AIAA Guidance, Navigation, and Control Conference. 3 indexed citations
13.
Csank, Jeffrey, et al.. (2011). Implementation of Enhanced Propulsion Control Modes for Emergency Flight Operation. 10 indexed citations
14.
May, Ryan, et al.. (2011). The Effect of Faster Engine Response on the Lateral Directional Control of a Damaged Aircraft. AIAA Guidance, Navigation, and Control Conference. 8 indexed citations
15.
Csank, Jeffrey, Ryan May, Ten-Huei Guo, & Jonathan S. Litt. (2011). The Effect of Modified Control Limits on the Performance of a Generic Commercial Aircraft Engine. NASA STI Repository (National Aeronautics and Space Administration). 4 indexed citations
16.
May, Ryan, Ten-Huei Guo, Joseph P. Veres, & Philip C. E. Jorgenson. (2011). Engine Icing Modeling and Simulation (Part 2): Performance Simulation of Engine Rollback Phenomena. SAE technical papers on CD-ROM/SAE technical paper series. 1. 7 indexed citations
17.
May, Ryan, Jeffrey Csank, Ten-Huei Guo, & Jonathan S. Litt. (2011). Improving Engine Responsiveness during Approach through High Speed Idle Control. 10 indexed citations
18.
Guo, Ten-Huei, et al.. (2011). Commercial Modular Aero-Propulsion System Simulation 40k. NASA Technical Reports Server (NASA). 8 indexed citations
19.
Jorgenson, Philip C. E., et al.. (2011). Engine Icing Modeling and Simulation (Part I): Ice Crystal Accretion on Compression System Components and Modeling its Effects on Engine Performance. SAE technical papers on CD-ROM/SAE technical paper series. 12 indexed citations
20.
Csank, Jeffrey, Ryan May, Jonathan S. Litt, & Ten-Huei Guo. (2011). A Sensitivity Study of Commercial Aircraft Engine Response for Emergency Situations. NASA Technical Reports Server (NASA). 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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