David D. Shipp
- Electrical and Electronic Engineering top 10%
- Control and Systems Engineering top 5%
- Mechanical Engineering
- Atomic and Molecular Physics, and Optics
- Astronomy and Astrophysics top 10%
- Co-authors
- Thomas J. DioniseFranco AngeliniCharles J. MozinaDavid Muir WoodJames BowenN.H. WoodleyMichael E. SwartzDaniel J. Carnovale
- Topics
- Electrical Fault Detection and Protection (33 papers)Vacuum and Plasma Arcs (14 papers)Power Systems Fault Detection (14 papers)
- Cited by
- Control and Systems EngineeringElectrical and Electronic EngineeringAstronomy and Astrophysics
- Journals
- IEEE Transactions on Industry ApplicationsThe Quarterly Journal of Mechanics and Applied MathematicsIEEE Industry Applications Magazine
- Partner nations
- United StatesTaiwanNetherlands
In The Last Decade
David D. Shipp
53 papers receiving 632 citations
Peers
Comparison fields: 5 of 45
- Electrical and Electronic Engineering 640
- Control and Systems Engineering 319
- Mechanical Engineering 112
- Atomic and Molecular Physics, and Optics 106
- Astronomy and Astrophysics 103
Countries citing papers authored by David D. Shipp
This map shows the geographic impact of David D. Shipp'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 D. Shipp with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David D. Shipp more than expected).
Fields of papers citing papers by David D. Shipp
This network shows the impact of papers produced by David D. Shipp. 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 D. Shipp. The network helps show where David D. Shipp may publish in the future.
Co-authorship network of co-authors of David D. Shipp
This figure shows the co-authorship network connecting the top 25 collaborators of David D. Shipp. A scholar is included among the top collaborators of David D. Shipp 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 D. Shipp. David D. Shipp is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 10 | |
| 4 | 0 | |
| 5 | 3 | |
| 6 | 13 | |
| 7 | 12 | |
| 8 | 92 | |
| 9 | 10 | |
| 10 | 3 | |
| 11 | 32 | |
| 12 | 26 | |
| 13 | 2 | |
| 14 | 15 | |
| 15 | 2 | |
| 16 | 1 | |
| 17 | 2 | |
| 18 | 5 | |
| 19 | 12 | |
| 20 | 8 |
About David D. Shipp
David D. Shipp is a scholar working on Control and Systems Engineering, Electrical and Electronic Engineering and Statistics, Probability and Uncertainty, having authored 60 papers that have together received 739 indexed citations. Recurring topics across this work include Electrical Fault Detection and Protection (33 papers), Vacuum and Plasma Arcs (14 papers) and Power Systems Fault Detection (14 papers). The work is most often cited by research in Control and Systems Engineering (319 citations), Electrical and Electronic Engineering (640 citations) and Astronomy and Astrophysics (103 citations). David D. Shipp has collaborated with scholars based in United States, Taiwan and Netherlands. Frequent co-authors include Thomas J. Dionise, Franco Angelini, Charles J. Mozina, David Muir Wood, James Bowen, N.H. Woodley, Michael E. Swartz, Daniel J. Carnovale, Dev Paul and Sergio Panetta. Their work appears in journals such as IEEE Transactions on Industry Applications, The Quarterly Journal of Mechanics and Applied Mathematics and IEEE Industry Applications Magazine.
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.