Jay Rajapakse

115 total papers · 915 total citations
57 papers, 558 citations indexed

About

Jay Rajapakse is a scholar working on Industrial and Manufacturing Engineering, Management Information Systems and Water Science and Technology. According to data from OpenAlex, Jay Rajapakse has authored 57 papers receiving a total of 558 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Industrial and Manufacturing Engineering, 11 papers in Management Information Systems and 9 papers in Water Science and Technology. Recurrent topics in Jay Rajapakse's work include Urban Stormwater Management Solutions (8 papers), Business Process Modeling and Analysis (7 papers) and Constructed Wetlands for Wastewater Treatment (5 papers). Jay Rajapakse is often cited by papers focused on Urban Stormwater Management Solutions (8 papers), Business Process Modeling and Analysis (7 papers) and Constructed Wetlands for Wastewater Treatment (5 papers). Jay Rajapakse collaborates with scholars based in Australia, Malaysia and United Kingdom. Jay Rajapakse's co-authors include Graeme J. Millar, Alexandra Rozhkovskaya, Les Dawes, Maria E. Orłowska, Arthur H. M. ter Hofstede, Daniel Niruban Subramaniam, Peter B. Mather, Chaminda Gallage, Shane C. Russell and Ricarda Thier and has published in prestigious journals such as SHILAP Revista de lepidopterología, The Science of The Total Environment and Water Research.

In The Last Decade

Jay Rajapakse

48 papers receiving 530 citations

Author Peers

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

Author Last Decade Papers Cites
Jay Rajapakse 144 135 97 97 73 57 558
Jing Lu 68 0.5× 100 0.7× 98 1.0× 14 0.1× 68 0.9× 47 565
Wei Han 44 0.3× 95 0.7× 76 0.8× 38 0.4× 12 0.2× 46 592
Tanvir Ahmed 89 0.6× 45 0.3× 78 0.8× 93 1.0× 18 0.2× 47 641
Pan Zhang 51 0.4× 54 0.4× 24 0.2× 98 1.0× 169 2.3× 42 655
Jianjun Du 309 2.1× 59 0.4× 102 1.1× 22 0.2× 15 0.2× 28 639
Goh Choo Ta 97 0.7× 42 0.3× 70 0.7× 38 0.4× 14 0.2× 63 558
Sermin Elevli 241 1.7× 119 0.9× 50 0.5× 34 0.4× 13 0.2× 33 668
Wei Qiao 194 1.3× 111 0.8× 271 2.8× 48 0.5× 4 0.1× 33 664
Cheng Wen 256 1.8× 88 0.7× 58 0.6× 65 0.7× 7 0.1× 34 687
Laili Wang 105 0.7× 75 0.6× 74 0.8× 189 1.9× 9 0.1× 46 632

Countries citing papers authored by Jay Rajapakse

Since Specialization
Citations

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

Fields of papers citing papers by Jay Rajapakse

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Rajapakse

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Rajapakse. A scholar is included among the top collaborators of Jay Rajapakse 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 Jay Rajapakse. Jay Rajapakse 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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