T.F. Laskowski

426 citations
7 papers · 308 indexed · h-index 4

Impact in

Papers in

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 278 citations

Peers

T.F. Laskowski
Comparison fields: 5 of 25
  • Control and Systems Engineering 203
  • Electrical and Electronic Engineering 299
  • Numerical Analysis 24
  • Energy Engineering and Power Technology 9
  • Statistical and Nonlinear Physics 22
Replace R. L. Cresap with:
R. L. Cresap United States
A. Heniche Canada
R. T. Byerly United States
G. Shackshaft United Kingdom
S. Ahmed-Zaid United States
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A.G. Phadke United States
L. Wang Canada
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T.F. Laskowski relative to R. L. Cresap United States R. L. Cresap's profile →
Citations per field
00.5×2.8×
R. L. Cresap · 1×
Citations per year

Countries citing papers authored by T.F. Laskowski

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with T.F. Laskowski Line = papers co-authored together T.F. Laskowski links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 1980180
2 197570
3 199234
4 198223
5 20031
6 19880
7 19820

About T.F. Laskowski

T.F. Laskowski is a scholar working on Numerical Analysis, Control and Systems Engineering, Electrical and Electronic Engineering, Safety, Risk, Reliability and Quality and Artificial Intelligence, having authored 7 papers that have together received 308 indexed citations. Recurring topics across this work include Power System Optimization and Stability (6 papers), HVDC Systems and Fault Protection (3 papers), Power Systems Fault Detection (2 papers), Computational Physics and Python Applications (2 papers), Power Systems and Technologies (2 papers), Numerical methods for differential equations (1 paper), Power System Reliability and Maintenance (1 paper) and Electrical Fault Detection and Protection (1 paper). The work is most often cited by research in Control and Systems Engineering (203 citations), Electrical and Electronic Engineering (299 citations), Numerical Analysis (24 citations), Energy Engineering and Power Technology (9 citations) and Statistical and Nonlinear Physics (22 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.

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