S.S. Abeysekera

126 total papers · 865 total citations
100 papers, 633 citations indexed

About

S.S. Abeysekera is a scholar working on Signal Processing, Electrical and Electronic Engineering and Biomedical Engineering. According to data from OpenAlex, S.S. Abeysekera has authored 100 papers receiving a total of 633 indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Signal Processing, 51 papers in Electrical and Electronic Engineering and 29 papers in Biomedical Engineering. Recurrent topics in S.S. Abeysekera's work include Advanced Adaptive Filtering Techniques (26 papers), Analog and Mixed-Signal Circuit Design (22 papers) and Advanced Electrical Measurement Techniques (20 papers). S.S. Abeysekera is often cited by papers focused on Advanced Adaptive Filtering Techniques (26 papers), Analog and Mixed-Signal Circuit Design (22 papers) and Advanced Electrical Measurement Techniques (20 papers). S.S. Abeysekera collaborates with scholars based in Singapore, Australia and Malaysia. S.S. Abeysekera's co-authors include Guang Hua, B. Boashash, Zechao Wang, Guang Hua, A. Cantoni, Yun Ye, Zhuquan Zang, D.B.H. Tay, Zhi Wang and Xin Yao and has published in prestigious journals such as IEEE Transactions on Signal Processing, IEEE Transactions on Communications and IEEE Transactions on Vehicular Technology.

In The Last Decade

S.S. Abeysekera

94 papers receiving 590 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
S.S. Abeysekera 271 244 212 140 112 100 633
Renbiao Wu 160 0.6× 203 0.8× 321 1.5× 196 1.4× 117 1.0× 70 775
Dave Zachariah 197 0.7× 157 0.6× 203 1.0× 69 0.5× 126 1.1× 57 579
Yongbo Zhao 119 0.4× 295 1.2× 474 2.2× 96 0.7× 90 0.8× 87 751
Pascal Larzabal 195 0.7× 489 2.0× 289 1.4× 39 0.3× 148 1.3× 84 753
Boon Poh Ng 209 0.8× 484 2.0× 280 1.3× 56 0.4× 158 1.4× 56 705
Ye Tian 366 1.4× 430 1.8× 236 1.1× 37 0.3× 89 0.8× 88 738
James R. Hopgood 145 0.5× 307 1.3× 85 0.4× 81 0.6× 134 1.2× 91 779
Yilong Lu 319 1.2× 154 0.6× 400 1.9× 66 0.5× 44 0.4× 60 747
J. Homer 104 0.4× 184 0.8× 385 1.8× 145 1.0× 188 1.7× 66 724
D. Cochran 143 0.5× 158 0.6× 235 1.1× 52 0.4× 105 0.9× 51 708

Countries citing papers authored by S.S. Abeysekera

Since Specialization
Citations

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

Fields of papers citing papers by S.S. Abeysekera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by S.S. Abeysekera. 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 S.S. Abeysekera. The network helps show where S.S. Abeysekera may publish in the future.

Co-authorship network of co-authors of S.S. Abeysekera

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

All Works

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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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