R. T. Byerly
- Electrical and Electronic Engineering
- Control and Systems Engineering top 5%
- Numerical Analysis
- Energy Engineering and Power Technology
- Astronomy and Astrophysics
- Topics
- Power System Optimization and Stability (7 papers)Power Systems and Renewable Energy (3 papers)Electric Power Systems and Control (2 papers)
- Journals
- IEEE Power Engineering ReviewIEEE Transactions on Power Apparatus and SystemsCERN Document Server (European Organization for Nuclear Research)
- Partner nations
- United StatesSwedenJapan
In The Last Decade
R. T. Byerly
13 papers receiving 254 citations
Peers
Comparison fields: 5 of 32
- Electrical and Electronic Engineering 257
- Control and Systems Engineering 156
- Numerical Analysis 26
- Energy Engineering and Power Technology 17
- Astronomy and Astrophysics 15
Countries citing papers authored by R. T. Byerly
This map shows the geographic impact of R. T. Byerly'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 R. T. Byerly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. T. Byerly more than expected).
Fields of papers citing papers by R. T. Byerly
This network shows the impact of papers produced by R. T. Byerly. 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 R. T. Byerly. The network helps show where R. T. Byerly may publish in the future.
Co-authorship network of co-authors of R. T. Byerly
This figure shows the co-authorship network connecting the top 25 collaborators of R. T. Byerly. A scholar is included among the top collaborators of R. T. Byerly 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 R. T. Byerly. R. T. Byerly is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Prediction: A process, not a product | 2 |
| 2 | 3 | |
| 3 | 20 | |
| 4 | Phase II: frequency domain analysis of low-frequency oscillations in large electric-power systems. Volume 3. Studies of the MAPP system. Final report. [AESOPS] | 2 |
| 5 | Phase II: frequency domain analysis of low-frequency oscillations in large electric power systems. Volume 1. Basic concepts, mathematical models, and computing methods. Final report | 1 |
| 6 | 62 | |
| 7 | 85 | |
| 8 | 23 | |
| 9 | Stability of large electric power systems | 51 |
| 10 | 12 | |
| 11 | 3 | |
| 12 | 8 | |
| 13 | 5 |
About R. T. Byerly
R. T. Byerly is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 13 papers that have together received 277 indexed citations. Recurring topics across this work include Power System Optimization and Stability (7 papers), Power Systems and Renewable Energy (3 papers) and Electric Power Systems and Control (2 papers). The work is most often cited by research in Control and Systems Engineering (156 citations), Energy Engineering and Power Technology (17 citations) and Numerical Analysis (26 citations). R. T. Byerly has collaborated with scholars based in United States, Sweden and Japan. Frequent co-authors include Edward W. Kimbark, E. R. Taylor, D. Kenneth McLain, J. W. Skooglund and C. W. King. Their work appears in journals such as IEEE Power Engineering Review, IEEE Transactions on Power Apparatus and Systems and CERN Document Server (European Organization for Nuclear Research).
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.