Journal of the Royal Statistical Society Series B (Statistical Methodology)
2.8k papers
receiving
443.8k citations
Peers
Journal of the Royal Statistical Society Series B (Statistical Methodology)
Comparison fields: 5 of 248
Statistics and Probability125.1k
Statistics, Probability and Uncertainty25.8k
Management Science and Operations Research36.1k
Artificial Intelligence84.3k
Finance24.7k
Replace The Annals of Statistics with:
The Annals of StatisticsUnited States
Computational Statistics & Data AnalysisUnited States
Psychological BulletinUnited States
Journal of Multivariate AnalysisUnited States
Operations ResearchUnited States
The American StatisticianUnited States
Journal of the Royal Statistical Society Series C (Applied Statistics)United States
Journal of Statistical Planning and InferenceUnited States
Psychological ReviewUnited States
PsychometrikaUnited States
Journal of the Royal Statistical Society Series B (Statistical Methodology)relative toThe Annals of StatisticsUnited StatesThe Annals of Statistics's profile →
Citations per field
00.5×1.5×2.2×
The Annals of Statistics · 1×
×0.7125k/175kSP
×0.826k/32kSPU
×0.936k/41kMSOR
×0.984k/90kAI
×0.625k/42kFINAN
Citations per year
'16
'17
'18
'19
'20
'21
'22
'23
'24
'25
'26
Countries where authors publish in Journal of the Royal Statistical Society Series B (Statistical Methodology)
Since Specialization
Citations
This map shows the geographic impact of research published in Journal of the Royal Statistical Society Series B (Statistical Methodology). 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 papers published in Journal of the Royal Statistical Society Series B (Statistical Methodology) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Journal of the Royal Statistical Society Series B (Statistical Methodology) more than expected).
Fields of papers published in Journal of the Royal Statistical Society Series B (Statistical Methodology)
This network shows the impact of papers published in Journal of the Royal Statistical Society Series B (Statistical Methodology). Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Journal of the Royal Statistical Society Series B (Statistical Methodology).
About Journal of the Royal Statistical Society Series B (Statistical Methodology)
The 3.1k papers published in Journal of the Royal Statistical Society Series B (Statistical Methodology) in the last decades have received a total of 491.3k indexed citations . Papers published in Journal of the Royal Statistical Society Series B (Statistical Methodology) usually cover Statistics and Probability (1.9k papers), Statistics, Probability and Uncertainty (357 papers), Management Science and Operations Research (522 papers), Artificial Intelligence (748 papers) and Computational Mathematics (13 papers) specifically the topics of Statistical Methods and Inference (952 papers), Advanced Statistical Methods and Models (748 papers), Statistical Methods and Bayesian Inference (743 papers), Bayesian Methods and Mixture Models (469 papers), Optimal Experimental Design Methods (310 papers), Statistical Distribution Estimation and Applications (282 papers), Statistical Methods in Clinical Trials (227 papers) and Advanced Statistical Process Monitoring (223 papers). The most active scholars publishing in Journal of the Royal Statistical Society Series B (Statistical Methodology) are Yoav Benjamini, Yosef Hochberg, Robert Tibshirani, Donald B. Rubin, N. M. Laird, M. Stone, Simon N. Wood, Trevor Hastie, Julian Besag and George E. P. Box.
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.