Refik Soyer

2.5k citations
113 papers · 1.8k · h-index 22

Impact in

Papers in

Refik Soyer

103 papers receiving 1.7k citations

Peers

Refik Soyer
Comparison fields: 5 of 125
  • Software 365
  • Statistics and Probability 560
  • Safety, Risk, Reliability and Quality 567
  • Statistics, Probability and Uncertainty 340
  • Management Science and Operations Research 244
Replace Fabrizio Ruggeri with:
Fabrizio Ruggeri Italy
Gerald J. Lieberman United States
Johan René van Dorp United States
Lesley Walls United Kingdom
Joseph H. Saleh United States
Jian-Bo Yang United Kingdom
J. Bert Keats United States
Kuei‐Hu Chang Taiwan
M. Elisabeth Paté‐Cornell United States
Szu Hui Ng Singapore
Refik Soyer relative to Fabrizio Ruggeri Italy Fabrizio Ruggeri's profile →
Citations per field
00.5×3.5×
Fabrizio Ruggeri · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Refik Soyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Refik Soyer Line = papers co-authored together Refik Soyer links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 113 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2012352
2 199680
3 201078
4 198566
5 200462
6 200745
7 199337
8 198837
9 201234
10 201933
11 201832
12 198932
13 200731
14 200331
15 199229
16 200529
17 200029
18 201127
19 200627
20 199827

About Refik Soyer

Refik Soyer is a scholar working on Statistics and Probability, Safety, Risk, Reliability and Quality, Software, Artificial Intelligence and Management Science and Operations Research, having authored 113 papers that have together received 1.8k indexed citations. Recurring topics across this work include Statistical Distribution Estimation and Applications (37 papers), Reliability and Maintenance Optimization (33 papers), Software Reliability and Analysis Research (28 papers), Bayesian Methods and Mixture Models (16 papers), Statistical Methods and Bayesian Inference (14 papers), Statistical Methods and Inference (12 papers), Advanced Queuing Theory Analysis (11 papers) and Advanced Statistical Process Monitoring (10 papers). The work is most often cited by research in Software (365 citations), Statistics and Probability (560 citations), Safety, Risk, Reliability and Quality (567 citations), Statistics, Probability and Uncertainty (340 citations) and Management Science and Operations Research (244 citations). Refik Soyer has collaborated with scholars based in United States, Italy and Türkiye. Frequent co-authors include Thomas A. Mazzuchi, Emmanuel A. Donkor, J. Alan Roberson, Nozer D. Singpurwalla, Ehsan S. Soofi, Alaattin Erkanli, Süleyman Özekıcı, Fabrizio Ruggeri, Nader Ebrahimi and Murat Tarimcilar. Their work appears in journals such as Naval Research Logistics (NRL), European Journal of Operational Research, Applied Stochastic Models in Business and Industry, Technometrics and Computational Statistics & Data Analysis.

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.

Explore authors with similar magnitude of impact