L.T.G. Lima

697 citations
13 papers · 524 indexed · h-index 9

L.T.G. Lima

13 papers receiving 484 citations

Peers

L.T.G. Lima
Comparison fields: 5 of 26
  • Numerical Analysis 88
  • Control and Systems Engineering 254
  • Electrical and Electronic Engineering 477
  • Safety, Risk, Reliability and Quality 46
  • Statistical and Nonlinear Physics 58
Replace B. Avramović with:
B. Avramović United States
Francisco Damasceno Freitas Brazil
Ildemar C. Decker Brazil
L. Wang Canada
Davide Fabozzi Belgium
J. Van Ness United States
D.J. Vowles Australia
F.S. Prabhakara United States
Yao-nan Yu Canada
J. E. Van Ness United States
L.T.G. Lima relative to B. Avramović United States B. Avramović's profile →
Citations per field
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B. Avramović · 1×
Citations per year

Countries citing papers authored by L.T.G. Lima

Since Specialization
Citations

This map shows the geographic impact of L.T.G. Lima'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 L.T.G. Lima with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.T.G. Lima more than expected).

Fields of papers citing papers by L.T.G. Lima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by L.T.G. Lima. 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 L.T.G. Lima. The network helps show where L.T.G. Lima may publish in the future.

Co-authorship network

The 8 scholars most cited alongside L.T.G. Lima, 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 L.T.G. Lima Line = papers co-authored together L.T.G. Lima links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 20073
2 20051
3 200413
4 200331
5 20023
6 200222
7 199691
8 199536
9 199419
10 199311
11 19932
12 199227
13 1990265

About L.T.G. Lima

L.T.G. Lima is a scholar working on Numerical Analysis, Energy Engineering and Power Technology, Electrical and Electronic Engineering, Control and Systems Engineering and Statistical and Nonlinear Physics, having authored 13 papers that have together received 524 indexed citations. Recurring topics across this work include Power System Optimization and Stability (11 papers), Numerical methods for differential equations (7 papers), Power Systems Fault Detection (3 papers), HVDC Systems and Fault Protection (3 papers), Optimal Power Flow Distribution (2 papers), Matrix Theory and Algorithms (2 papers), Model Reduction and Neural Networks (2 papers) and Power Quality and Harmonics (2 papers). The work is most often cited by research in Numerical Analysis (88 citations), Control and Systems Engineering (254 citations), Electrical and Electronic Engineering (477 citations), Safety, Risk, Reliability and Quality (46 citations) and Statistical and Nonlinear Physics (58 citations). L.T.G. Lima has collaborated with scholars based in Brazil, United States and Germany. Frequent co-authors include N. Martins, Mohammad Reza Iravani, A. Semlyen, Carlos Tomei, J.W. Feltes, D.M. Falcão, J.L.R. Pereira and R.J. Koessler. Their work appears in journals such as IEEE Transactions on Power Systems, IEEE Transactions on Power Delivery, IEEE Power Engineering Review, 2001 IEEE Power Engineering Society Winter Meeting. Conference Proceedings (Cat. No.01CH37194) and 2003 IEEE Power Engineering Society General Meeting (IEEE Cat. No.03CH37491).

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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