William G. Flannelly
- Civil and Structural Engineering top 5%
- Mechanical Engineering
- Control and Systems Engineering top 10%
- Statistics, Probability and Uncertainty top 2%
- Mechanics of Materials
- Co-authors
- Alex BermanRichard L. BielawaEdward J. Nagy
- Topics
- Structural Health Monitoring Techniques (7 papers)Manufacturing Process and Optimization (2 papers)Engineering Applied Research (2 papers)
- Cited by
- Civil and Structural EngineeringStatistics, Probability and UncertaintyAutomotive Engineering
- Partner nations
- United States
In The Last Decade
William G. Flannelly
14 papers receiving 401 citations
Peers
Comparison fields: 5 of 39
- Civil and Structural Engineering 375
- Mechanical Engineering 136
- Control and Systems Engineering 98
- Statistics, Probability and Uncertainty 97
- Mechanics of Materials 79
Countries citing papers authored by William G. Flannelly
This map shows the geographic impact of William G. Flannelly'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 William G. Flannelly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William G. Flannelly more than expected).
Fields of papers citing papers by William G. Flannelly
This network shows the impact of papers produced by William G. Flannelly. 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 William G. Flannelly. The network helps show where William G. Flannelly may publish in the future.
Co-authorship network of co-authors of William G. Flannelly
This figure shows the co-authorship network connecting the top 25 collaborators of William G. Flannelly. A scholar is included among the top collaborators of William G. Flannelly 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 William G. Flannelly. William G. Flannelly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 4 | |
| 3 | 25 | |
| 4 | 106 | |
| 5 | Structural System Identification Technology Verification | 3 |
| 6 | Experimental Verification of Force Determination and Ground Flying on a Full-Scale Helicopter | 8 |
| 7 | 60 | |
| 8 | 61 | |
| 9 | Laboratory Verification of Force Determination, A Potential Tool for Reliability Testing. | 2 |
| 10 | 5 | |
| 11 | Applications of Antiresonance Theory to Helicopters | 1 |
| 12 | 156 | |
| 13 | 4 | |
| 14 | Analytical research on a synchronous gyroscopic vibration absorber | 2 |
About William G. Flannelly
William G. Flannelly is a scholar working on Civil and Structural Engineering, Management of Technology and Innovation and Industrial and Manufacturing Engineering, having authored 14 papers that have together received 448 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (7 papers), Manufacturing Process and Optimization (2 papers) and Engineering Applied Research (2 papers). The work is most often cited by research in Civil and Structural Engineering (375 citations), Statistics, Probability and Uncertainty (97 citations) and Automotive Engineering (51 citations). William G. Flannelly has collaborated with scholars based in United States. Frequent co-authors include Alex Berman, Richard L. Bielawa and Edward J. Nagy. Their work appears in journals such as AIAA Journal, Journal of Sound and Vibration and Journal of the American Helicopter Society.
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.