Daniel P. Shepard
- Aerospace Engineering top 2%
- GNSS positioning and interference 4
- Robotics and Sensor-Based Localization 3
- Inertial Sensor and Navigation 2
- Artificial Intelligence top 5%
- Target Tracking and Data Fusion in Sensor Networks 3
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- Indoor and Outdoor Localization Technologies 4
- Power System Optimization and Stability 1
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- Augmented Reality Applications 2
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- Ionosphere and magnetosphere dynamics 1
- Journals
- IEEE Transactions on Aerospace and Electronic Systems (2 papers)Journal of Field Robotics (1 paper)NAVIGATION Journal of the Institute of Navigation (1 paper)
- Partner nations
- United States
In The Last Decade
Daniel P. Shepard
10 papers receiving 980 citations
Hit Papers
Peers
Comparison fields: 5 of 59
- Aerospace Engineering 596
- Computer Networks and Communications 281
- Control and Systems Engineering 254
- Artificial Intelligence 302
- Electrical and Electronic Engineering 449
Countries citing papers authored by Daniel P. Shepard
This map shows the geographic impact of Daniel P. Shepard'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 Daniel P. Shepard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel P. Shepard more than expected).
Fields of papers citing papers by Daniel P. Shepard
This network shows the impact of papers produced by Daniel P. Shepard. 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 Daniel P. Shepard. The network helps show where Daniel P. Shepard may publish in the future.
Co-authorship network
The 4 scholars most cited alongside Daniel P. Shepard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 0 | |
| 2 | 2018 | 81 | |
| 3 | 2016 | 1 | |
| 4 | Unmanned Aircraft Capture and Control Via GPS Spoofingbreakdown → | 2014 | 452 |
| 5 | 2014 | 27 | |
| 6 | 2013 | 9 | |
| 7 | Fusion of carrier-phase differential GPS, bundle-adjustment-based visual SLAM, and inertial navigation for precisely and globally-registered augmented reality | 2013 | 2 |
| 8 | 2013 | 77 | |
| 9 | 2013 | 134 | |
| 10 | 2012 | 241 | |
| 11 | Earth watch; notes on a restless planet | 1973 | 1 |
About Daniel P. Shepard
Daniel P. Shepard is a scholar working on Aerospace Engineering, Computer Vision and Pattern Recognition, Artificial Intelligence, Computer Networks and Communications and Electrical and Electronic Engineering, having authored 11 papers that have together received 1.0k indexed citations. Recurring topics across this work include Indoor and Outdoor Localization Technologies (4 papers), GNSS positioning and interference (4 papers), Target Tracking and Data Fusion in Sensor Networks (3 papers), Robotics and Sensor-Based Localization (3 papers), Augmented Reality Applications (2 papers), Inertial Sensor and Navigation (2 papers), Power System Optimization and Stability (1 paper) and Ionosphere and magnetosphere dynamics (1 paper). The work is most often cited by research in Aerospace Engineering (596 citations), Computer Networks and Communications (281 citations), Control and Systems Engineering (254 citations), Artificial Intelligence (302 citations) and Electrical and Electronic Engineering (449 citations). Daniel P. Shepard has collaborated with scholars based in United States. Frequent co-authors include Todd E. Humphreys, Jahshan A. Bhatti, Brady W. O’Hanlon and Mark L. Psiaki. Their work appears in journals such as IEEE Transactions on Aerospace and Electronic Systems, Journal of Field Robotics, NAVIGATION Journal of the Institute of Navigation, International Journal of Critical Infrastructure Protection and Proceedings of the Satellite Division's International Technical Meeting (Online).
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.