Marcus Johnson

945 total citations
35 papers, 721 citations indexed

About

Marcus Johnson is a scholar working on Aerospace Engineering, Control and Systems Engineering and Social Psychology. According to data from OpenAlex, Marcus Johnson has authored 35 papers receiving a total of 721 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Aerospace Engineering, 6 papers in Control and Systems Engineering and 4 papers in Social Psychology. Recurrent topics in Marcus Johnson's work include Air Traffic Management and Optimization (24 papers), Aerospace and Aviation Technology (13 papers) and UAV Applications and Optimization (7 papers). Marcus Johnson is often cited by papers focused on Air Traffic Management and Optimization (24 papers), Aerospace and Aviation Technology (13 papers) and UAV Applications and Optimization (7 papers). Marcus Johnson collaborates with scholars based in United States, Japan and India. Marcus Johnson's co-authors include Joseph Rios, Parimal Kopardekar, Thomas Prévôt, John E. Robinson, Warren E. Dixon, Jae‐Woo Jung, Jaewoo Jung, William MacKunis, P. M. Patre and Shubhendu Bhasin and has published in prestigious journals such as Automatica, IEEE Transactions on Cybernetics and IEEE Transactions on Neural Networks and Learning Systems.

In The Last Decade

Marcus Johnson

34 papers receiving 691 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcus Johnson United States 13 439 225 106 101 98 35 721
Min Xue United States 15 342 0.8× 114 0.5× 82 0.8× 129 1.3× 37 0.4× 54 706
Gennaro Notomista United States 13 90 0.2× 254 1.1× 82 0.8× 169 1.7× 71 0.7× 35 643
H.G. Visser Netherlands 19 946 2.2× 169 0.8× 188 1.8× 93 0.9× 66 0.7× 92 1.1k
Kapil Sheth United States 14 853 1.9× 297 1.3× 110 1.0× 55 0.5× 12 0.1× 48 942
João Batista Camargo Brazil 12 105 0.2× 100 0.4× 121 1.1× 44 0.4× 7 0.1× 47 470
Suk-Gyu Lee South Korea 16 138 0.3× 331 1.5× 91 0.9× 273 2.7× 19 0.2× 48 776
Honghai Zhang China 14 297 0.7× 75 0.3× 73 0.7× 103 1.0× 11 0.1× 61 815
Trevor Kistan Australia 15 394 0.9× 83 0.4× 84 0.8× 56 0.6× 4 0.0× 32 619
Stefano Primatesta Italy 13 346 0.8× 116 0.5× 124 1.2× 267 2.6× 5 0.1× 46 556
Yifeng Niu China 12 284 0.6× 83 0.4× 39 0.4× 285 2.8× 19 0.2× 81 573

Countries citing papers authored by Marcus Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Marcus Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcus Johnson

This figure shows the co-authorship network connecting the top 25 collaborators of Marcus Johnson. A scholar is included among the top collaborators of Marcus Johnson 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 Marcus Johnson. Marcus Johnson 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.
Lemacks, Jennifer, Stephanie M. McCoy, Tammy Greer, et al.. (2023). Passive recruitment reach of a lifestyle management program to address obesity in the deep south during the COVID-19 pandemic. AIMS Public Health. 10(1). 116–128.
2.
Kubo, Daisuke, et al.. (2021). Operational Testing of Unmanned Aircraft System Traffic Management in Disaster Response. 29(4). 160–170. 11 indexed citations
3.
4.
Rios, Joseph, et al.. (2020). Flight Demonstration of Unmanned Aircraft System (UAS) Traffic Management (UTM) at Technical Capability Level 4. AIAA AVIATION 2020 FORUM. 22 indexed citations
5.
Homola, Jeffrey, et al.. (2019). Flight Demonstration of Unmanned Aircraft System (UAS) Traffic Management (UTM) at Technical Capability Level 3. NASA STI Repository (National Aeronautics and Space Administration). 1–7. 14 indexed citations
6.
Homola, Jeffrey, et al.. (2019). Flight Demonstration of Unmanned Aircraft System (UAS) Traffic Management (UTM) at Technical Capability Level 3. NASA STI Repository (National Aeronautics and Space Administration). 2 indexed citations
7.
Johnson, Marcus. (2019). Unmanned Aircraft System Traffic Management (UTM) TCL4. NASA Technical Reports Server (NASA). 1 indexed citations
8.
Johnson, Marcus. (2018). Unmanned Aircraft Systems Traffic Management (UTM): Conflict Mitigation Approach. NASA STI Repository (National Aeronautics and Space Administration). 1 indexed citations
9.
Homola, Jeffrey, et al.. (2018). UTM and D-NET: NASA and JAXA’s Collaborative Research on Integrating Small UAS with Disaster Response Efforts. 2018 Aviation Technology, Integration, and Operations Conference. 8 indexed citations
10.
Johnson, Marcus. (2017). Unmanned Aircraft System Traffic Management (UTM): Defining the Future of the Drone Industry. NASA STI Repository (National Aeronautics and Space Administration). 2 indexed citations
11.
Johnson, Marcus, Jae‐Woo Jung, Joseph Rios, et al.. (2017). Flight Test Evaluation of an Unmanned Aircraft System Traffic Management (UTM) Concept for Multiple Beyond-Visual-Line-of-Sight (BVLOS) Operations. NASA Technical Reports Server (NASA). 20 indexed citations
12.
Johnson, Marcus. (2017). Unmanned Aircraft System Traffic Management (UTM). NASA STI Repository (National Aeronautics and Space Administration). 7 indexed citations
13.
Prévôt, Thomas, Joseph Rios, Parimal Kopardekar, et al.. (2016). UAS Traffic Management (UTM) Concept of Operations to Safely Enable Low Altitude Flight Operations. 147 indexed citations
14.
Robinson, John E., Marcus Johnson, Joseph Rios, Thomas Prévôt, & Jaewoo Jung. (2015). Overview of Unmanned Aerial System Traffic Management (UTM). NASA STI Repository (National Aeronautics and Space Administration). 1 indexed citations
15.
Mueller, E. R., et al.. (2015). Java Architecture for Detect and Avoid Extensibility and Modeling. NASA Technical Reports Server (NASA). 1 indexed citations
16.
Johnson, Marcus, et al.. (2014). Investigating the Impacts of a Separation Standard for UAS Operations in Enroute and Transition Airspace. NASA STI Repository (National Aeronautics and Space Administration). 2 indexed citations
17.
Johnson, Marcus, et al.. (2013). Investigating Effects of "Well Clear" Definitions on UAS Sense-And-Avoid Operations. 3 indexed citations
18.
19.
Johnson, Marcus, et al.. (2011). Handling Qualities Evaluations of Low Complexity Model Reference Adaptive Controllers for Reduced Pitch and Roll Damping Scenarios. AIAA Guidance, Navigation, and Control Conference. 18 indexed citations
20.
Johnson, Marcus, et al.. (2011). Handling Qualities of Model Reference Adaptive Controllers with Varying Complexity for Pitch-Roll Coupled Failures. AIAA Guidance, Navigation, and Control Conference. 14 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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