David J. Wing

1.1k total citations
76 papers, 808 citations indexed

About

David J. Wing is a scholar working on Aerospace Engineering, Social Psychology and Control and Systems Engineering. According to data from OpenAlex, David J. Wing has authored 76 papers receiving a total of 808 indexed citations (citations by other indexed papers that have themselves been cited), including 69 papers in Aerospace Engineering, 44 papers in Social Psychology and 15 papers in Control and Systems Engineering. Recurrent topics in David J. Wing's work include Air Traffic Management and Optimization (57 papers), Human-Automation Interaction and Safety (44 papers) and Aerospace and Aviation Technology (21 papers). David J. Wing is often cited by papers focused on Air Traffic Management and Optimization (57 papers), Human-Automation Interaction and Safety (44 papers) and Aerospace and Aviation Technology (21 papers). David J. Wing collaborates with scholars based in United States and Netherlands. David J. Wing's co-authors include Mark G. Ballin, Robert Vivona, Husni Idris, María Consiglio, Michael T. Palmer, K. Krishnamurthy, Sherwood T. Hoadley, Bryan Barmore, Brian T. Baxley and Christopher Anderson and has published in prestigious journals such as The Plant Cell, BMJ Open and AIAA Guidance, Navigation, and Control Conference and Exhibit.

In The Last Decade

David J. Wing

71 papers receiving 745 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David J. Wing United States 18 720 336 179 106 101 76 808
Karlin Roth United States 16 472 0.7× 66 0.2× 312 1.7× 57 0.5× 113 1.1× 34 610
Mark G. Ballin United States 16 471 0.7× 174 0.5× 30 0.2× 165 1.6× 95 0.9× 38 579
David P. Thipphavong United States 9 421 0.6× 103 0.3× 10 0.1× 85 0.8× 106 1.0× 30 543
Kapil Sheth United States 14 853 1.2× 232 0.7× 7 0.0× 297 2.8× 375 3.7× 48 942
Bryan Barmore United States 12 644 0.9× 254 0.8× 9 0.1× 142 1.3× 230 2.3× 35 761
Russell A. Paielli United States 13 841 1.2× 194 0.6× 6 0.0× 192 1.8× 197 2.0× 40 960
Sandeep Mulgund United States 10 202 0.3× 85 0.3× 17 0.1× 98 0.9× 37 0.4× 22 346
Zhibin Quan China 10 192 0.3× 20 0.1× 75 0.4× 16 0.2× 22 0.2× 25 377
Rafael D. Apaza United States 10 358 0.5× 54 0.2× 9 0.1× 60 0.6× 101 1.0× 53 511
Mark Voskuijl Netherlands 14 374 0.5× 9 0.0× 86 0.5× 164 1.5× 4 0.0× 61 605

Countries citing papers authored by David J. Wing

Since Specialization
Citations

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

Fields of papers citing papers by David J. Wing

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Wing. 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 David J. Wing. The network helps show where David J. Wing may publish in the future.

Co-authorship network of co-authors of David J. Wing

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Wing. A scholar is included among the top collaborators of David J. Wing 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 David J. Wing. David J. Wing 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.
2.
Wing, David J., et al.. (2024). Protocol for the San Diego Nathan Shock Center Clinical Cohort: a new resource for studies of human aging. BMJ Open. 14(6). e082659–e082659.
3.
Wing, David J., et al.. (2019). Initial TASAR Operations Onboard Alaska Airlines. AIAA Aviation 2019 Forum. 5 indexed citations
4.
Wing, David J., et al.. (2018). Initial Implementation and Operational Use of TASAR in Alaska Airlines Flight Operations. 2018 Aviation Technology, Integration, and Operations Conference. 1 indexed citations
5.
Woods, Sharon, Robert Vivona, David J. Wing, & Kelly Burke. (2016). Traffic Aware Planner for Cockpit-based Trajectory Optimization. NASA STI Repository (National Aeronautics and Space Administration). 7 indexed citations
6.
Burke, Kelly, et al.. (2016). Flight Test Assessments of Pilot Workload, System Usability, and Situation Awareness of Tasar. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 60(1). 61–65. 4 indexed citations
7.
Wing, David J., et al.. (2013). An operational safety and certification assessment of a TASAR EFB application. 2A1–1. 5 indexed citations
8.
Lewis, Timothy A., Nipa Phojanamongkolkij, & David J. Wing. (2012). The effects of limited intent information availability on self-separation in mixed operations. NASA STI Repository (National Aeronautics and Space Administration). B6–1. 3 indexed citations
9.
Karr, David, et al.. (2012). Autonomous Operations Planner: A Flexible Platform for Research in Flight-Deck Support for Airborne Self-Separation. 12th AIAA Aviation Technology, Integration, and Operations (ATIO) Conference and 14th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. 20 indexed citations
10.
Idris, Husni, et al.. (2011). Surveillance range and interference impacts on self-separation performance. 2011 IEEE/AIAA 30th Digital Avionics Systems Conference. 4D5–1. 2 indexed citations
11.
Idris, Husni & David J. Wing. (2010). Improving Separation Assurance Stability Through Trajectory Flexibility Preservation. NASA STI Repository (National Aeronautics and Space Administration). 2 indexed citations
12.
Wing, David J., Thomas Prévôt, Christopher Cabrall, et al.. (2010). Comparison of Airborne and Ground-Based Function Allocation Concepts for NextGen Using Human-In-The-Loop Simulations. NASA STI Repository (National Aeronautics and Space Administration). 5 indexed citations
13.
Idris, Husni, et al.. (2008). Trajectory Planning by Preserving Flexibility: Metrics and Analysis. AIAA Guidance, Navigation and Control Conference and Exhibit. 10 indexed citations
14.
Consiglio, María, Sherwood T. Hoadley, David J. Wing, & Brian T. Baxley. (2007). Safety Performance of Airborne Separation: Preliminary Baseline Testing. NASA STI Repository (National Aeronautics and Space Administration). 28 indexed citations
15.
Wing, David J., Mark G. Ballin, & K. Krishnamurthy. (2004). Pilot In Command: A Feasibility Assessment of Autonomous Flight Management Operations. NASA STI Repository (National Aeronautics and Space Administration). 14 indexed citations
16.
Wing, David J., et al.. (2003). Pilot Interactions in an Over-constrained Conflict Scenario as Studied in a Piloted Simulation of Autonomous Aircraft Operations. NASA Technical Reports Server (NASA). 11 indexed citations
17.
Ballin, Mark G., et al.. (1999). Airborne separation assurance and traffic management - Research of concepts and technology. Guidance, Navigation, and Control Conference and Exhibit. 17 indexed citations
18.
Anderson, Christopher, et al.. (1997). Investigation of hybrid fluidic/mechanical thrust vectoring for fixed-exit exhaust nozzles. 33rd Joint Propulsion Conference and Exhibit. 40 indexed citations
19.
Neuhart, Dan, et al.. (1994). Simultaneous three-dimensional velocity and mixing measurements by use of laser Doppler velocimetry and fluorescence probes in a water tunnel. NASA Technical Reports Server (NASA). 1 indexed citations
20.
Wing, David J., et al.. (1991). Static performance of a multiaxis thrust vectoring cruciform nozzle. 27th Joint Propulsion Conference.

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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