S. Loukas

1.1k total citations
32 papers, 818 citations indexed

About

S. Loukas is a scholar working on Statistics and Probability, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, S. Loukas has authored 32 papers receiving a total of 818 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 6 papers in Management Science and Operations Research. Recurrent topics in S. Loukas's work include Statistical Distribution Estimation and Applications (18 papers), Statistical Methods and Bayesian Inference (11 papers) and Bayesian Methods and Mixture Models (7 papers). S. Loukas is often cited by papers focused on Statistical Distribution Estimation and Applications (18 papers), Statistical Methods and Bayesian Inference (11 papers) and Bayesian Methods and Mixture Models (7 papers). S. Loukas collaborates with scholars based in Greece, United Kingdom and United States. S. Loukas's co-authors include Konstantinos Adamidis, Richard L. Scheaffer, William M. Mendenhall, Dennis D. Wackerly, C. D. Kemp, H. Papageorgiou, John Goudevenos, Lampros K. Michalis, Athanasios G. Tzioufas and Aris Liakos and has published in prestigious journals such as Biological Psychiatry, Biometrics and Biometrika.

In The Last Decade

S. Loukas

31 papers receiving 743 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S. Loukas Greece 11 548 317 144 123 117 32 818
Gordon Johnston United States 6 680 1.2× 370 1.2× 197 1.4× 101 0.8× 77 0.7× 10 1.1k
Pedro Luiz Ramos Brazil 18 496 0.9× 289 0.9× 107 0.7× 105 0.9× 98 0.8× 89 1.5k
Maurice C. Bryson United States 15 745 1.4× 428 1.4× 256 1.8× 122 1.0× 122 1.0× 31 1.3k
Subrata Chakraborty India 16 642 1.2× 268 0.8× 56 0.4× 177 1.4× 153 1.3× 107 1.0k
G. S. Mudholkar United States 7 882 1.6× 631 2.0× 236 1.6× 64 0.5× 168 1.4× 10 1.3k
Muhammad Zubair Pakistan 18 452 0.8× 305 1.0× 64 0.4× 283 2.3× 155 1.3× 77 1.1k
J. C. Naylor United Kingdom 9 666 1.2× 347 1.1× 74 0.5× 209 1.7× 137 1.2× 11 979
Jerome P. Keating United States 18 642 1.2× 232 0.7× 40 0.3× 149 1.2× 32 0.3× 64 857
Sangun Park South Korea 15 507 0.9× 282 0.9× 59 0.4× 86 0.7× 64 0.5× 60 730
Muhammad Qaiser Shahbaz Pakistan 14 524 1.0× 312 1.0× 71 0.5× 112 0.9× 167 1.4× 88 820

Countries citing papers authored by S. Loukas

Since Specialization
Citations

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

Fields of papers citing papers by S. Loukas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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

This figure shows the co-authorship network connecting the top 25 collaborators of S. Loukas. A scholar is included among the top collaborators of S. Loukas 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. Loukas. S. Loukas 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.
Adamidis, Konstantinos, et al.. (2012). A Family of Lifetime Distributions. 2012. 1–6. 30 indexed citations
2.
Loukas, S., et al.. (2005). Errors in discrimination with monotone missing data from multivariate normal populations. Computational Statistics & Data Analysis. 50(10). 2600–2634. 6 indexed citations
3.
Adamidis, Konstantinos, et al.. (2005). On an extension of the exponential-geometric distribution. Statistics & Probability Letters. 73(3). 259–269. 100 indexed citations
4.
Michalis, Lampros K., Κωνσταντίνος Παππάς, Ann C. Tweddel, et al.. (2001). Relatively low red cell folate levels and acute coronary syndromes. Coronary Artery Disease. 12(8). 665–668. 10 indexed citations
5.
Michalis, Lampros K., Michael R. Rees, John A. Davis, et al.. (1999). Use of vibrational angioplasty for the treatment of chronic total coronary occlusions: Preliminary results. Catheterization and Cardiovascular Interventions. 46(1). 98–104. 14 indexed citations
6.
Loukas, S., et al.. (1998). A transformed geometric distribution in stochastic modelling. Mathematical and Computer Modelling. 27(1). 43–51. 5 indexed citations
7.
Adamidis, Konstantinos & S. Loukas. (1996). Estimation in a truncated bivariate poisson distribution using the EM algorithm. Communication in Statistics- Theory and Methods. 25(10). 2215–2222. 4 indexed citations
8.
Papageorgiou, H. & S. Loukas. (1995). A Bivariate Discrete Charlier Series Distribution. Biometrical Journal. 37(1). 105–117. 3 indexed citations
9.
Loukas, S., et al.. (1994). Ml estimation in the bivariate poisson distribution in the presence of missing values via the em algorithm. Journal of Statistical Computation and Simulation. 50(3-4). 163–172. 7 indexed citations
10.
Adamidis, Konstantinos & S. Loukas. (1993). Ml estimation in the poisson binomial distribution with grouped data via the em algorithm. Journal of Statistical Computation and Simulation. 45(1-2). 33–39. 2 indexed citations
11.
Loukas, S. & H. Papageorgiou. (1991). On a trivariate Poisson distribution. Applications of Mathematics. 36(6). 432–439. 8 indexed citations
12.
Loukas, S.. (1991). Some methods of estimation for a trivariate Poisson distribution. Applicationes Mathematicae. 21(4). 503–510. 4 indexed citations
13.
Manoussakis, M. N., Anestis Mavridis, Athanasios G. Tzioufas, et al.. (1990). Factors related to the presence of autoantibodies in patients with chronic mental disorders. Biological Psychiatry. 27(7). 747–756. 24 indexed citations
14.
Papageorgiou, H. & S. Loukas. (1988). Conditional even point estimation for bivariate discrete distributions. Communication in Statistics- Theory and Methods. 17(10). 3403–3412. 8 indexed citations
15.
Loukas, S. & C. D. Kemp. (1986). The computer generation of bivariate binomial and negative binomial random variables. Communications in Statistics - Simulation and Computation. 15(1). 15–25. 4 indexed citations
16.
Loukas, S. & C. D. Kemp. (1986). The Index of Dispersion Test for the Bivariate Poisson Distribution. Biometrics. 42(4). 941–941. 11 indexed citations
17.
Loukas, S. & H. Papageorgiou. (1985). Estimation for the bivariate negative binomial distribution. Journal of Statistical Computation and Simulation. 22(1). 67–82. 6 indexed citations
18.
Loukas, S.. (1984). Simple methods for computer generation of bivariate beta random variables. Journal of Statistical Computation and Simulation. 20(2). 145–152. 6 indexed citations
19.
Loukas, S. & C. D. Kemp. (1983). On computer sampling from trivariate and multivariate discrete distributions. Journal of Statistical Computation and Simulation. 17(2). 113–123. 10 indexed citations
20.
Papageorgiou, H., C. D. Kemp, & S. Loukas. (1983). Some methods of estimation for the bivariate Hermite distribution. Biometrika. 70(2). 479–484. 11 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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