Bernoulli

Top Research Topics at Bernoulli?

Bernoulli is mainly concerned with subjects like Applied mathematics, Estimator, Combinatorics, Mathematical analysis and Statistics. While work presented in it provided substantial information on Applied mathematics, it also covered topics in Nonparametric statistics, Mathematical optimization, Minimax, Markov chain and Rate of convergence. Markov property is a major topic of Markov chain research presented in Bernoulli.

Asymptotic distribution is a primary topic of Estimator research in Bernoulli. While Combinatorics is the focus of Bernoulli, it also provided insights into the studies of Discrete mathematics, Central limit theorem, Random variable and Distribution (mathematics). The Mathematical analysis works featured in it incorporate elements from Fractional Brownian motion and Brownian motion.

• Applied mathematics (34.87%)
• Estimator (20.22%)
• Combinatorics (17.60%)

What are the most cited papers published in the journal?

• An adaptive Metropolis algorithm (1852 citations)
• Hyperbolic distributions in finance (729 citations)
• Exponential convergence of Langevin distributions and their discrete approximations (648 citations)

Research areas of the most cited articles at Bernoulli:

The published papers mostly deal with topics like Applied mathematics, Estimator, Statistics, Mathematical analysis and Mathematical optimization. The works on Applied mathematics tackled in the published articles bring together disciplines like Nonparametric statistics, Econometrics, Asymptotic distribution, Markov chain and Function (mathematics). The published papers facilitate discussions on Estimator that incorporate concepts from other fields like Estimation theory, Autoregressive model and Rate of convergence.

What topics the last edition of the journal is best known for?

• Statistics
• Mathematical analysis
• Normal distribution

The previous edition focused in particular on these issues:

The topics of Applied mathematics, Estimator, Pure mathematics, Combinatorics and Nonparametric statistics are the focal point of discussions in Bernoulli. The concepts on Applied mathematics presented in it can also apply to other research fields, including Distribution (mathematics), Minimax, Simple (abstract algebra), Function (mathematics) and Series (mathematics). The journal addresses concerns in the field of Minimax by exploring it in line with topics in Rate of convergence which intersect with Stochastic differential equation subjects.

The studies in Estimator featured incorporate elements of Algorithm and Inference. The Pure mathematics studies in it expound on topics in

• Random matrix which is related to area like Covariance matrix, Covariance and Central limit theorem,
• Matrix (mathematics) that connect with fields like Uniform boundedness and Gaussian.. The journal explores issues in Gaussian which can be linked to other research areas like Statistics and Random variable.

The most cited articles from the last journal are:

• Well-posedness of distribution dependent SDEs with singular drifts (19 citations)
• On stochastic gradient Langevin dynamics with dependent data streams in the logconcave case (14 citations)
• On posterior contraction of parameters and interpretability in Bayesian mixture modeling (11 citations)

Papers citation over time

A key indicator for each journal is its effectiveness in reaching other researchers with the papers published at that venue.

The chart below presents the interquartile range (first quartile 25%, median 50% and third quartile 75%) of the number of citations of articles over time.

Top authors and change over time

The top authors publishing in Bernoulli (based on the number of publications) are:

• Holger Dette (15 papers) published 1 paper at the last edition,
• Thomas Mikosch (14 papers) published 1 paper at the last edition the same number as at the previous edition,
• Marc Hallin (14 papers) published 1 paper at the last edition,
• Murad S. Taqqu (13 papers) absent at the last edition,
• Friedrich Götze (11 papers) absent at the last edition.

The overall trend for top authors publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top authors.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Bernoulli (based on the number of publications) are:

• University of Paris (33 papers) published 3 papers at the last edition,
• Ruhr University Bochum (21 papers) published 1 paper at the last edition,
• University of Copenhagen (19 papers) published 1 paper at the last edition,
• University of California, Berkeley (19 papers) published 1 paper at the last edition,
• Centre national de la recherche scientifique (17 papers) published 3 papers at the last edition.

The overall trend for top affiliations publishing in this journal is outlined below. The chart shows the number of publications at each edition of the journal for top affiliations.

Publication chance based on affiliation

The publication chance index shows the ratio of articles published by the best research institutions in the journal edition to all articles published within that journal. The best research institutions were selected based on the largest number of articles published during all editions of the journal.

The chart below presents the percentage ratio of articles from top institutions (based on their ranking of total papers).Top affiliations were grouped by their rank into the following tiers: top 1-10, top 11-20, top 21-50, and top 51+. Only articles with a recognized affiliation are considered.

During the most recent 2021 edition, 23.15% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 14.46% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.23% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.10% of all publications and 54.22% were from other institutions.

Returning Authors Index

A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of journals they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same journal from year to year.

The Returning Authors Index presented below illustrates the ratio of authors who participated in both a given as well as the previous edition of the journal in relation to all participants in a given year.

Returning Institution Index

The graph below shows the Returning Institution Index, illustrating the ratio of institutions that participated in both a given and the previous edition of the conference in relation to all affiliations present in a given year.

The experience to innovation index

Our experience to innovation index was created to show a cross-section of the experience level of authors publishing in a journal. The index includes the authors publishing at the last edition of a journal, grouped by total number of publications throughout their academic career (P) and the total number of citations of these publications ever received (C).

The group intervals were selected empirically to best show the diversity of the authors' experiences, their labels were selected as a convenience, not as judgment. The authors were divided into the following groups:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.