Jay Rajasekera

596 total citations
34 papers, 370 citations indexed

About

Jay Rajasekera is a scholar working on Computational Theory and Mathematics, Numerical Analysis and Management Information Systems. According to data from OpenAlex, Jay Rajasekera has authored 34 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computational Theory and Mathematics, 5 papers in Numerical Analysis and 5 papers in Management Information Systems. Recurrent topics in Jay Rajasekera's work include Advanced Optimization Algorithms Research (5 papers), Optimization and Variational Analysis (3 papers) and ICT in Developing Communities (2 papers). Jay Rajasekera is often cited by papers focused on Advanced Optimization Algorithms Research (5 papers), Optimization and Variational Analysis (3 papers) and ICT in Developing Communities (2 papers). Jay Rajasekera collaborates with scholars based in Japan, United States and Australia. Jay Rajasekera's co-authors include Shu‐Cherng Fang, H.-S. Jacob Tsao, Yingying Zhang, Kut C. So, Elmor L. Peterson, Mahfuzur Rahman, Shelton Peiris, Makoto Yamada, Robert B. Mellor and Pamela J. Davy and has published in prestigious journals such as SHILAP Revista de lepidopterología, European Journal of Operational Research and International Journal of Production Economics.

In The Last Decade

Jay Rajasekera

28 papers receiving 342 citations

Peers

Jay Rajasekera
Kousik Das India
George B. Kleindorfer United States
Volker Stix Austria
Daniel Solow United States
V. A. Sposito United States
Mark Voorneveld Sweden
Tae-Sung Kim South Korea
Kousik Das India
Jay Rajasekera
Citations per year, relative to Jay Rajasekera Jay Rajasekera (= 1×) peers Kousik Das

Countries citing papers authored by Jay Rajasekera

Since Specialization
Citations

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

Fields of papers citing papers by Jay Rajasekera

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jay Rajasekera

This figure shows the co-authorship network connecting the top 25 collaborators of Jay Rajasekera. A scholar is included among the top collaborators of Jay Rajasekera 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 Rajasekera. Jay Rajasekera 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
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Rajasekera, Jay, et al.. (2023). Analysis of Government Funding Performance on Economic Growth and Human Development Index in Indonesia. SHILAP Revista de lepidopterología. 18(2). 136–148. 2 indexed citations
3.
Rajasekera, Jay, et al.. (2023). Efficient Online Engagement Analytics Algorithm Toolkit That Can Run on Edge. Algorithms. 16(2). 86–86. 5 indexed citations
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Zhang, Yingying, et al.. (2020). An Eco-Systematic View of Cross-Sector Fintech: The Case of Alibaba and Tencent. Sustainability. 12(21). 8907–8907. 49 indexed citations
7.
Rajasekera, Jay, et al.. (2015). Apparel Design Optimization for Global Market: Kansei Engineering Preference Model. International Journal of Affective Engineering. 14(2). 119–126. 7 indexed citations
8.
Rajasekera, Jay. (2013). CHALLENGES TO TOYOTA CAUSED BY RECALL PROBLEMS, SOCIAL NETWORKS AND DIGITISATION. 1 indexed citations
9.
Rajasekera, Jay. (2010). Crisis Management in Social Media and Digital Age: Recall Problem and Challenges to Toyota. SSRN Electronic Journal. 4 indexed citations
10.
Davy, Pamela J., et al.. (2003). Generalised correlations and Simpson's paradox. 5 indexed citations
11.
Lu, Chao, et al.. (2002). An Important Issue in Data Mining : Data Cleaning. Pacific Asia Conference on Language, Information, and Computation. 455–464.
12.
Rajasekera, Jay & Makoto Yamada. (2001). Estimating the Firm Value Distribution Function by Entropy Optimization and Geometric Programming. Annals of Operations Research. 105(1-4). 61–75. 4 indexed citations
13.
Fang, Shu‐Cherng, Jay Rajasekera, & H.-S. Jacob Tsao. (1997). Entropy Optimization and Mathematical Programming. International series in management science/operations research/International series in operations research & management science. 159 indexed citations
14.
Fang, Shu‐Cherng, Elmor L. Peterson, & Jay Rajasekera. (1992). Minimum cross-entropy analysis with entropy-type constraints. Journal of Computational and Applied Mathematics. 39(2). 165–178. 2 indexed citations
15.
Rajasekera, Jay & Shu‐Cherng Fang. (1992). Deriving an unconstrained convex program for linear programming. Journal of Optimization Theory and Applications. 75(3). 603–612. 6 indexed citations
16.
Rajasekera, Jay, et al.. (1991). A due-date assignment model for a flow shop with application in a lightguide cable shop. Journal of Manufacturing Systems. 10(1). 1–7. 12 indexed citations
17.
Rajasekera, Jay & Shu‐Cherng Fang. (1991). On the convex programming approach to linear programming. Operations Research Letters. 10(6). 309–312. 8 indexed citations
18.
Fang, Shu‐Cherng & Jay Rajasekera. (1989). Quadratically constrained minimum cross-entropy analysis. Mathematical Programming. 44(1-3). 85–96. 9 indexed citations
19.
Fang, Shu‐Cherng & Jay Rajasekera. (1986). Controlled perturbations for quadratically constrained quadratic programs. Mathematical Programming. 36(3). 276–289. 11 indexed citations
20.
Fang, Shu‐Cherng & Jay Rajasekera. (1986). Controlled dual perturbations for l p -programming. Mathematical Methods of Operations Research. 30(1). A29–A42. 3 indexed citations

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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