T.F. Laskowski
Impact in
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- Power Systems Fault Detection
- Vibration and Dynamic Analysis
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- Power System Optimization and Stability
- HVDC Systems and Fault Protection
- Optimal Power Flow Distribution
- Frequency Control in Power Systems
Papers in
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- Power System Optimization and Stability 6
- HVDC Systems and Fault Protection 3
- Power Systems and Technologies 2
- Electrical Fault Detection and Protection 1
- Smart Grid Energy Management 1
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- Power Systems Fault Detection 2
- Co-authors
- John Undrill (3 shared papers)F. P. de Mello (2 shared papers)P. Nolan (1 shared paper)F. P. deMello (1 shared paper)J.W. Feltes (1 shared paper)L. N. Hannett (1 shared paper)I. S. Grant (1 shared paper)
- Journals
- IEEE Computer Applications in Power (2 papers)IEEE Power Engineering Review (1 paper)IEEE Transactions on Power Apparatus and Systems (3 papers)Conference Record of the 1988 IEEE Industry Applications Society Annual Meeting (1 paper)
- Partner nations
- United States
In The Last Decade
T.F. Laskowski
5 papers receiving 285 citations
Peers
Comparison fields: 5 of 25
- Control and Systems Engineering 209
- Electrical and Electronic Engineering 308
- Numerical Analysis 24
- Energy Engineering and Power Technology 10
- Statistical and Nonlinear Physics 23
Countries citing papers authored by T.F. Laskowski
This map shows the geographic impact of T.F. Laskowski'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 T.F. Laskowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T.F. Laskowski more than expected).
Fields of papers citing papers by T.F. Laskowski
This network shows the impact of papers produced by T.F. Laskowski. 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 T.F. Laskowski. The network helps show where T.F. Laskowski may publish in the future.
Co-authors
The 7 scholars most cited alongside T.F. Laskowski, 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 | 1980 | 186 | |
| 2 | 1975 | 73 | |
| 3 | 1992 | 34 | |
| 4 | 1982 | 23 | |
| 5 | 2003 | 1 | |
| 6 | 1982 | 0 | |
| 7 | 1988 | 0 |
About T.F. Laskowski
T.F. Laskowski is a scholar working on Electrical and Electronic Engineering, Control and Systems Engineering, Artificial Intelligence, Numerical Analysis and Atomic and Molecular Physics, and Optics, having authored 7 papers that have together received 317 indexed citations. Recurring topics across this work include Power System Optimization and Stability (6 papers), HVDC Systems and Fault Protection (3 papers), Power Systems and Technologies (2 papers), Computational Physics and Python Applications (2 papers), Power Systems Fault Detection (2 papers), Electrical Fault Detection and Protection (1 paper), Vacuum and Plasma Arcs (1 paper) and Smart Grid Energy Management (1 paper). The work is most often cited by research in Control and Systems Engineering (209 citations), Electrical and Electronic Engineering (308 citations), Numerical Analysis (24 citations), Energy Engineering and Power Technology (10 citations) and Statistical and Nonlinear Physics (23 citations). T.F. Laskowski has collaborated with scholars based in United States. Frequent co-authors include John Undrill, F. P. de Mello, P. Nolan, F. P. deMello, J.W. Feltes, L. N. Hannett and I. S. Grant. Their work appears in journals such as IEEE Computer Applications in Power, IEEE Power Engineering Review, IEEE Transactions on Power Apparatus and Systems and Conference Record of the 1988 IEEE Industry Applications Society Annual Meeting.
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.