V. A. Samaranayake

1.3k total citations
48 papers, 935 citations indexed

About

V. A. Samaranayake is a scholar working on Artificial Intelligence, Statistics and Probability and Computer Vision and Pattern Recognition. According to data from OpenAlex, V. A. Samaranayake has authored 48 papers receiving a total of 935 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Artificial Intelligence, 10 papers in Statistics and Probability and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in V. A. Samaranayake's work include Machine Learning and ELM (6 papers), Statistical Distribution Estimation and Applications (4 papers) and Face and Expression Recognition (4 papers). V. A. Samaranayake is often cited by papers focused on Machine Learning and ELM (6 papers), Statistical Distribution Estimation and Applications (4 papers) and Face and Expression Recognition (4 papers). V. A. Samaranayake collaborates with scholars based in United States, China and Saudi Arabia. V. A. Samaranayake's co-authors include Sam C. Brown, David C. Geary, Antonio Nanni, Suzanna Long, Ona Egbue, Allen Wilhite, Ghulam H. Bham, D. C. Stouffer, Steven Corns and David L. Butler and has published in prestigious journals such as Environmental Science & Technology, PLoS ONE and Journal of Cleaner Production.

In The Last Decade

V. A. Samaranayake

44 papers receiving 884 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
V. A. Samaranayake United States 11 292 231 187 150 117 48 935
Aoife Ahern Ireland 15 8 0.0× 58 0.3× 148 0.8× 71 0.5× 10 0.1× 57 1.2k
Michael W. Riley United States 16 13 0.0× 12 0.1× 26 0.1× 46 0.3× 34 0.3× 64 746
F Harris United Kingdom 20 11 0.0× 125 0.5× 33 0.2× 422 2.8× 156 1.3× 51 1.1k
Sugiarto Sugiarto Indonesia 17 11 0.0× 19 0.1× 110 0.6× 113 0.8× 197 1.7× 330 1.1k
Catherine L. Ross United States 19 8 0.0× 36 0.2× 28 0.1× 175 1.2× 17 0.1× 71 1.0k
Man Li China 14 4 0.0× 31 0.1× 21 0.1× 91 0.6× 54 0.5× 100 647
Tai‐Yu Lin Taiwan 17 4 0.0× 149 0.6× 167 0.9× 54 0.4× 13 0.1× 91 1.1k
Zahari Taha Malaysia 17 7 0.0× 19 0.1× 23 0.1× 33 0.2× 42 0.4× 77 1.2k
Thomas J. Siller United States 12 6 0.0× 26 0.1× 176 0.9× 75 0.5× 60 0.5× 54 566
Xinli Zhang China 12 7 0.0× 44 0.2× 45 0.2× 14 0.1× 7 0.1× 52 725

Countries citing papers authored by V. A. Samaranayake

Since Specialization
Citations

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

Fields of papers citing papers by V. A. Samaranayake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by V. A. Samaranayake. 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 V. A. Samaranayake. The network helps show where V. A. Samaranayake may publish in the future.

Co-authorship network of co-authors of V. A. Samaranayake

This figure shows the co-authorship network connecting the top 25 collaborators of V. A. Samaranayake. A scholar is included among the top collaborators of V. A. Samaranayake 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 V. A. Samaranayake. V. A. Samaranayake 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
1.
Samaranayake, V. A., et al.. (2023). An integer GARCH model for a Poisson process with time-varying zero-inflation. PLoS ONE. 18(5). e0285769–e0285769.
2.
3.
Samaranayake, V. A., et al.. (2018). Phytoforensics: Trees as bioindicators of potential indoor exposure via vapor intrusion. PLoS ONE. 13(2). e0193247–e0193247. 5 indexed citations
4.
Ray, Chandra S., et al.. (2018). Iron phosphate glass waste forms for vitrifying Hanford AZ102 Low Activity Waste (LAW), part II: Property-composition model. Journal of Non-Crystalline Solids. 495. 107–116. 4 indexed citations
5.
Samaranayake, V. A., et al.. (2018). A Multi-Step Nonlinear Dimension-Reduction Approach with Applications to Big Data. IEEE Transactions on Knowledge and Data Engineering. 31(12). 2249–2261. 10 indexed citations
6.
Jagannathan, S., et al.. (2018). Distributed Learning of Deep Sparse Neural Networks for High-dimensional Classification. 116. 1587–1592. 1 indexed citations
7.
Samaranayake, V. A., et al.. (2017). Contaminant Gradients in Trees: Directional Tree Coring Reveals Boundaries of Soil and Soil-Gas Contamination with Potential Applications in Vapor Intrusion Assessment. Environmental Science & Technology. 51(24). 14055–14064. 4 indexed citations
8.
Que, Sisi, Kwame Awuah-Offei, & V. A. Samaranayake. (2014). Classifying critical factors that influence community acceptance of mining projects for discrete choice experiments in the United States. Journal of Cleaner Production. 87. 489–500. 37 indexed citations
9.
Samaranayake, V. A., et al.. (2014). Safety Effect of Missouri's Strategic Highway Safety Plan. Transportation Research Record Journal of the Transportation Research Board. 2465(1). 33–39. 2 indexed citations
10.
Murray, Susan L., et al.. (2013). The effects of wearing respirators on human fine motor, visual, and cognitive performance. Ergonomics. 56(5). 791–802. 27 indexed citations
11.
Mukhopadhyay, Purna & V. A. Samaranayake. (2010). Prediction Intervals for Time Series: A Modified Sieve Bootstrap Approach. Communications in Statistics - Simulation and Computation. 39(3). 517–538. 5 indexed citations
12.
Samaranayake, V. A., et al.. (2004). Prediction Bounds for the Weibull Distribution. 1 indexed citations
13.
Samaranayake, V. A., et al.. (2004). Tensile characterization of glass FRP bars. Composites Part B Engineering. 36(2). 127–134. 108 indexed citations
14.
Samaranayake, V. A., et al.. (2003). Prediction Bounds in Accelerated Life Testing: Weibull Models with Inverse Power Relationship. Journal of Quality Technology. 35(1). 89–103. 5 indexed citations
15.
Samaranayake, V. A., et al.. (2000). The Effect of Drug Use on Wages:A Human Capital Interpretation. The American Journal of Drug and Alcohol Abuse. 26(4). 659–682. 11 indexed citations
16.
Samaranayake, V. A., et al.. (1996). The Impact of Alcohol and Drug Use on Employment: A Labor Market Study Using the National Longitudinal Survey of Youth. SSRN Electronic Journal. 8 indexed citations
17.
Samaranayake, V. A., et al.. (1993). The effect of military service on the subsequent civilian wage of the post-Vietnam veteran. The Quarterly Review of Economics and Finance. 33(1). 15–31. 37 indexed citations
18.
Samaranayake, V. A., et al.. (1992). Alcohol use and wages of young men: whites vs nonwhites. International Review of Applied Economics. 6(2). 184–202. 10 indexed citations
19.
Samaranayake, V. A. & David P. Hasza. (1988). PROPERTIES OF PREDICTORS FOR MULTIVARIATE AUTOREGRESSIVE MODELS WITH ESTIMATED PARAMETERS. Journal of Time Series Analysis. 9(4). 361–383. 5 indexed citations
20.
Levy, Martin S. & V. A. Samaranayake. (1988). Fixed width interval estimation for the multiple response callibration problem. Sequential Analysis. 7(4). 283–306. 1 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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