K.P.N Jayasena

30 total papers · 498 total citations
23 papers, 344 citations indexed

About

K.P.N Jayasena is a scholar working on Computer Networks and Communications, Information Systems and Computer Vision and Pattern Recognition. According to data from OpenAlex, K.P.N Jayasena has authored 23 papers receiving a total of 344 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 14 papers in Information Systems and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in K.P.N Jayasena's work include IoT and Edge/Fog Computing (14 papers), Cloud Computing and Resource Management (12 papers) and Software System Performance and Reliability (5 papers). K.P.N Jayasena is often cited by papers focused on IoT and Edge/Fog Computing (14 papers), Cloud Computing and Resource Management (12 papers) and Software System Performance and Reliability (5 papers). K.P.N Jayasena collaborates with scholars based in Sri Lanka, China and Egypt. K.P.N Jayasena's co-authors include Mohamed Abd Elaziz, Shengwu Xiong, Lin Li, Li Lin, Lin Li, Banage T. G. S. Kumara, Qing Xie and Jianwen Xiang and has published in prestigious journals such as Neurocomputing, Knowledge-Based Systems and Applied Mathematical Modelling.

In The Last Decade

K.P.N Jayasena

23 papers receiving 319 citations

Author Peers

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

Author Last Decade Papers Cites
K.P.N Jayasena 201 189 109 41 27 23 344
Wiesław Pawłowski 174 0.9× 123 0.7× 105 1.0× 61 1.5× 21 0.8× 22 319
Yousef Kilani 153 0.8× 230 1.2× 133 1.2× 61 1.5× 24 0.9× 26 386
Dingyu Yang 136 0.7× 215 1.1× 173 1.6× 41 1.0× 40 1.5× 33 387
Aravind Cheruvu 103 0.5× 161 0.9× 185 1.7× 35 0.9× 39 1.4× 15 365
Sally M. Elghamrawy 132 0.7× 79 0.4× 165 1.5× 41 1.0× 21 0.8× 36 397
Katarzyna Wasielewska 241 1.2× 148 0.8× 144 1.3× 73 1.8× 8 0.3× 33 367
Jianwei Li 82 0.4× 130 0.7× 108 1.0× 61 1.5× 34 1.3× 16 302
Amid Khatibi Bardsiri 140 0.7× 185 1.0× 107 1.0× 32 0.8× 37 1.4× 40 362
Damien Cassou 210 1.0× 172 0.9× 127 1.2× 100 2.4× 10 0.4× 19 368
C.W. Thompson 213 1.1× 176 0.9× 159 1.5× 43 1.0× 6 0.2× 25 385

Countries citing papers authored by K.P.N Jayasena

Since Specialization
Citations

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

Fields of papers citing papers by K.P.N Jayasena

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by K.P.N Jayasena. 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 K.P.N Jayasena. The network helps show where K.P.N Jayasena may publish in the future.

Co-authorship network of co-authors of K.P.N Jayasena

This figure shows the co-authorship network connecting the top 25 collaborators of K.P.N Jayasena. A scholar is included among the top collaborators of K.P.N Jayasena 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 K.P.N Jayasena. K.P.N Jayasena 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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