Kwa-Sur Tam

34 papers receiving 512 citations

Peers

Kwa-Sur Tam
Comparison fields: 5 of 46
  • Electrical and Electronic Engineering 427
  • Control and Systems Engineering 273
  • Renewable Energy, Sustainability and the Environment 102
  • Energy Engineering and Power Technology 76
  • Automotive Engineering 74
Replace M. Nagrial with:
M. Nagrial Australia
Kazuto Yukita Japan
Bruno Burger Germany
Swagat Pati India
Tadatoshi Babasaki Japan
Muhammad Zain Yousaf China
Mohammadreza Toulabi Iran
A. Hellany Australia
Kwa-Sur Tam relative to M. Nagrial Australia M. Nagrial's profile →
Citations per field
00.5×1.6×
M. Nagrial · 1×
Citations per year

Countries citing papers authored by Kwa-Sur Tam

Since Specialization
Citations

This map shows the geographic impact of Kwa-Sur Tam'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 Kwa-Sur Tam with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kwa-Sur Tam more than expected).

Fields of papers citing papers by Kwa-Sur Tam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwa-Sur Tam. 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 Kwa-Sur Tam. The network helps show where Kwa-Sur Tam may publish in the future.

Co-authorship network of co-authors of Kwa-Sur Tam

This figure shows the co-authorship network connecting the top 25 collaborators of Kwa-Sur Tam. A scholar is included among the top collaborators of Kwa-Sur Tam 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 Kwa-Sur Tam. Kwa-Sur Tam is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 15
3 31
4 18
5 1
6 1
7 19
8 6
9
Modeling of Space Station power system components and their interactions
1
10
An EMTP system level model of the PMAD DC test bed
3
11
Functional models of power electronic components for system studies
1
12
Harmonic filters for industrial power systems
9
13 15
14 25
15 5
16 23
17 1
18 43
19 0
20 9

About Kwa-Sur Tam

Kwa-Sur Tam is a scholar working on Energy Engineering and Power Technology, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 37 papers that have together received 547 indexed citations. Recurring topics across this work include Microgrid Control and Optimization (9 papers), Frequency Control in Power Systems (8 papers) and HVDC Systems and Fault Protection (7 papers). The work is most often cited by research in Energy Engineering and Power Technology (76 citations), Control and Systems Engineering (273 citations) and Electrical and Electronic Engineering (427 citations). Kwa-Sur Tam has collaborated with scholars based in United States, Australia and Hong Kong. Frequent co-authors include Saifur Rahman, A.G. Phadke, A. Chaudhary, M.R.St.J. Foreman, Lifeng Yang, Jaesung Jung, R.H. Lasseter, Lifeng Yang, Robert Broadwater and Danny Sutanto. Their work appears in journals such as Applied Energy, IEEE Transactions on Power Electronics and IEEE Transactions on Power Systems.

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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