Refik Soyer

2.5k total citations
97 papers, 1.6k citations indexed

About

Refik Soyer is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality and Artificial Intelligence. According to data from OpenAlex, Refik Soyer has authored 97 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 46 papers in Statistics and Probability, 28 papers in Safety, Risk, Reliability and Quality and 23 papers in Artificial Intelligence. Recurrent topics in Refik Soyer's work include Statistical Distribution Estimation and Applications (31 papers), Reliability and Maintenance Optimization (27 papers) and Software Reliability and Analysis Research (22 papers). Refik Soyer is often cited by papers focused on Statistical Distribution Estimation and Applications (31 papers), Reliability and Maintenance Optimization (27 papers) and Software Reliability and Analysis Research (22 papers). Refik Soyer collaborates with scholars based in United States, Italy and Türkiye. Refik Soyer's co-authors include Thomas A. Mazzuchi, J. Alan Roberson, Emmanuel A. Donkor, Ehsan S. Soofi, Nozer D. Singpurwalla, Alaattin Erkanli, Süleyman Özekıcı, Fabrizio Ruggeri, Nader Ebrahimi and Murat Tarimcilar and has published in prestigious journals such as Journal of the American Statistical Association, Technometrics and Management Science.

In The Last Decade

Refik Soyer

89 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Refik Soyer United States 22 483 480 293 290 273 97 1.6k
Gerald J. Lieberman United States 23 276 0.6× 391 0.8× 117 0.4× 402 1.4× 54 0.2× 64 2.0k
Fabrizio Ruggeri Italy 23 198 0.4× 530 1.1× 90 0.3× 688 2.4× 243 0.9× 122 2.0k
Szu Hui Ng Singapore 23 285 0.6× 116 0.2× 368 1.3× 309 1.1× 152 0.6× 97 1.7k
Johan René van Dorp United States 24 221 0.5× 467 1.0× 48 0.2× 726 2.5× 560 2.1× 58 1.8k
Joseph H. Saleh United States 30 926 1.9× 74 0.2× 178 0.6× 896 3.1× 107 0.4× 139 3.3k
Helge Langseth Norway 19 254 0.5× 76 0.2× 246 0.8× 431 1.5× 70 0.3× 67 1.6k
G. Apostolakis United States 35 1.1k 2.3× 197 0.4× 383 1.3× 2.8k 9.6× 184 0.7× 159 4.4k
Lesley Walls United Kingdom 18 418 0.9× 190 0.4× 216 0.7× 471 1.6× 57 0.2× 80 1.2k
Luca Podofillini Switzerland 25 972 2.0× 150 0.3× 386 1.3× 1.2k 4.2× 80 0.3× 56 2.0k
Zhiguo Zeng France 21 646 1.3× 182 0.4× 208 0.7× 701 2.4× 39 0.1× 63 1.4k

Countries citing papers authored by Refik Soyer

Since Specialization
Citations

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

Fields of papers citing papers by Refik Soyer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Refik Soyer

This figure shows the co-authorship network connecting the top 25 collaborators of Refik Soyer. A scholar is included among the top collaborators of Refik Soyer 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 Refik Soyer. Refik Soyer 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.
Soyer, Refik, Fabrizio Ruggeri, David Rı́os Insua, Chris Pierce, & César Guevara. (2025). An adversarial risk analysis framework for software release decision support. Risk Analysis. 45(12). 4196–4212.
2.
Aven, Terje, David Rı́os Insua, Refik Soyer, Xiaoyan Zhu, & Enrico Zio. (2024). Fifty years of reliability in operations research. European Journal of Operational Research. 324(2). 361–381. 2 indexed citations
3.
Mazzuchi, Thomas A., et al.. (2023). A Bayesian generalized Eyring‐Weibull accelerated life testing model. Quality and Reliability Engineering International. 40(2). 1110–1125. 6 indexed citations
4.
Ruggeri, Fabrizio, et al.. (2023). Alatent‐factor self‐excitingpoint process for software failures. Naval Research Logistics (NRL). 70(6). 584–600. 2 indexed citations
5.
Wilson, Simon, et al.. (2019). A Bayesian approach to modeling mortgage default and prepayment. Trinity's Access to Research Output (TARA) (Trinity College Dublin). 19 indexed citations
6.
Insua, David Rı́os, et al.. (2019). Hypothesis Testing in Presence of Adversaries. The American Statistician. 75(1). 31–40. 1 indexed citations
7.
Polson, Nicholas G. & Refik Soyer. (2017). Augmented probability simulation for accelerated life test design. Applied Stochastic Models in Business and Industry. 33(3). 322–332. 3 indexed citations
8.
Ekin, Tahir, Francesca Ieva, Fabrizio Ruggeri, & Refik Soyer. (2013). Applications of Bayesian Methods in Detection of Healthcare Frauds. Chemical engineering transactions. 33. 151–156. 15 indexed citations
9.
Pievatolo, Antonio, Fabrizio Ruggeri, & Refik Soyer. (2012). A Bayesian hidden Markov model for imperfect debugging. Reliability Engineering & System Safety. 103. 11–21. 33 indexed citations
10.
Ebrahimi, Nader, Ehsan S. Soofi, & Refik Soyer. (2007). Multivariate maximum entropy identification, transformation, and dependence. Journal of Multivariate Analysis. 99(6). 1217–1231. 29 indexed citations
11.
Sung, Minje, et al.. (2006). Bayesian analysis of non‐homogeneous Markov chains: Application to mental health data. Statistics in Medicine. 26(15). 3000–3017. 19 indexed citations
12.
Soyer, Refik, et al.. (2005). Bayesian portfolio selection with multi-variate random variance models. European Journal of Operational Research. 171(3). 977–990. 28 indexed citations
13.
Erkanli, Alaattin, Refik Soyer, & Adrian Angold. (2001). Bayesian analyses of longitudinal binary data using Markov regression models of unknown order. Statistics in Medicine. 20(5). 755–770. 14 indexed citations
14.
Özekıcı, Süleyman & Refik Soyer. (2001). Bayesian testing strategies for software with an operational profile. Naval Research Logistics (NRL). 48(8). 747–763. 5 indexed citations
15.
Erkanli, Alaattin, Refik Soyer, & E. Jane Costello. (1999). Bayesian Inference for Prevalence in Longitudinal Two‐Phase Studies. Biometrics. 55(4). 1145–1150. 9 indexed citations
16.
Erkanli, Alaattin, Thomas A. Mazzuchi, & Refik Soyer. (1998). Bayesian Computations for a Class of Reliability Growth Models. Technometrics. 40(1). 14–23. 14 indexed citations
17.
Mazzuchi, Thomas A., et al.. (1997). Linear Bayesian Inference for Accelerated Weibull Model. Lifetime Data Analysis. 3(1). 63–75. 7 indexed citations
18.
Erkanli, Alaattin, Refik Soyer, & Dalene Stangl. (1997). BAYESIAN INFERENCE IN TWO-PHASE PREVALENCE STUDIES. Statistics in Medicine. 16(10). 1121–1133. 13 indexed citations
19.
Mazzuchi, Thomas A. & Refik Soyer. (1988). A Bayes empirical-Bayes model for software reliability. IEEE Transactions on Reliability. 37(2). 248–254. 29 indexed citations
20.
Soyer, Refik. (1983). On the Distribution of Cycles to Crack Initiation,. Defense Technical Information Center (DTIC).

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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