Edward J. Nagy
- Civil and Structural Engineering top 5%
- Statistics, Probability and Uncertainty top 2%
- Mechanical Engineering
- Mechanics of Materials top 10%
- Control and Systems Engineering top 10%
- Co-authors
- Alex BermanWilliam G. Flannelly
- Topics
- Structural Health Monitoring Techniques (4 papers)Soil Mechanics and Vehicle Dynamics (2 papers)Railway Engineering and Dynamics (2 papers)
- Cited by
- Statistics, Probability and UncertaintyCivil and Structural EngineeringMechanics of Materials
- Journals
- AIAA JournalJournal of the American Helicopter SocietyDefense Technical Information Center (DTIC)
- Partner nations
- United States
In The Last Decade
Edward J. Nagy
5 papers receiving 402 citations
Hit Papers
Peers
Comparison fields: 5 of 34
- Civil and Structural Engineering 409
- Statistics, Probability and Uncertainty 156
- Mechanical Engineering 115
- Mechanics of Materials 96
- Control and Systems Engineering 64
Countries citing papers authored by Edward J. Nagy
This map shows the geographic impact of Edward J. Nagy'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 Edward J. Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edward J. Nagy more than expected).
Fields of papers citing papers by Edward J. Nagy
This network shows the impact of papers produced by Edward J. Nagy. 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 Edward J. Nagy. The network helps show where Edward J. Nagy may publish in the future.
Co-authorship network of co-authors of Edward J. Nagy
This figure shows the co-authorship network connecting the top 25 collaborators of Edward J. Nagy. A scholar is included among the top collaborators of Edward J. Nagy 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 Edward J. Nagy. Edward J. Nagy is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Improvement of a Large Analytical Model Using Test Databreakdown → | 420 |
| 2 | 4 | |
| 3 | 6 | |
| 4 | Structural System Identification Technology Verification | 3 |
| 5 | Experimental Verification of Force Determination and Ground Flying on a Full-Scale Helicopter | 8 |
About Edward J. Nagy
Edward J. Nagy is a scholar working on General Engineering, Civil and Structural Engineering and Automotive Engineering, having authored 5 papers that have together received 441 indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (4 papers), Soil Mechanics and Vehicle Dynamics (2 papers) and Railway Engineering and Dynamics (2 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (156 citations), Civil and Structural Engineering (409 citations) and Mechanics of Materials (96 citations). Edward J. Nagy has collaborated with scholars based in United States. Frequent co-authors include Alex Berman and William G. Flannelly. Their work appears in journals such as AIAA Journal, Journal of the American Helicopter Society and Defense Technical Information Center (DTIC).
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.