| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 270 | 33 | 64 | 10 |
| Engineering and Technology | 1244 | 8 | 15 | 5 |
Methodology and Computing in Applied Probability aims to foster the development of research in Applied mathematics, Mathematical optimization, Markov chain, Statistics and Combinatorics. In Methodology and Computing in Applied Probability, Random variable, Poisson distribution, Distribution (mathematics), Estimator and Monte Carlo method are investigated in conjunction with one another to address concerns in Applied mathematics research. While Mathematical optimization is the focus of the journal, it also provided insights into the studies of Queue and Markov chain Monte Carlo.
The work tackled in Methodology and Computing in Applied Probability goes beyond the discipline of Markov chain as it also encompasses Markov process. The research on Statistics discussed in Methodology and Computing in Applied Probability draws on the closely related field of Econometrics. The study on Combinatorics presented in Methodology and Computing in Applied Probability intersects with the topics under Discrete mathematics.
Mathematical optimization, Applied mathematics, Markov chain, Mathematical analysis and Econometrics are the main subjects of interest in the published articles. The most cited articles with studies in Mathematical optimization featured incorporate elements of Monte Carlo method and Markov chain Monte Carlo. In addition to Applied mathematics research, the most cited articles aim to explore topics under Estimator, First-hitting-time model and Random variable.
Methodology and Computing in Applied Probability explores disciplines such as Applied mathematics, Algorithm, Markov chain, Random variable and Point process. Methodology and Computing in Applied Probability addresses concerns in Applied mathematics which are intertwined with other disciplines, such as Probability density function, Matrix (mathematics), Estimator, Multivariate statistics and Monte Carlo method. It focused on Markov chain research but expanded to cover Markov process.
Some problems in Random variable that were presented in the journal overlapped with concepts under Absolute continuity, Discrete time and continuous time, Exponential function and Combinatorics. Issues in Point process were discussed, taking into consideration concepts from other disciplines like Poisson distribution, Function (mathematics) and Markov chain Monte Carlo. Joint probability distribution research featured in Methodology and Computing in Applied Probability incorporates concerns from various other topics such as Mathematical analysis and Distribution (number theory).
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.
The top authors publishing in Methodology and Computing in Applied Probability (based on the number of publications) are:
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.
Only papers with recognized affiliations are considered
The top affiliations publishing in Methodology and Computing in Applied Probability (based on the number of publications) are:
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.
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, 9.57% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.08% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.65% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.50% of all publications and 55.77% were from other institutions.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Achref Bachouch;Côme Huré;Nicolas Langrené;Huyen Pham;Huyen Pham
(2021)Dheeraj Goyal;Nil Kamal Hazra;Maxim Finkelstein
(2021)Narayanaswamy Balakrishnan;Francesco Buono;Maria Longobardi
(2021)Coskun Kus;Altan Tuncel;Serkan Eryilmaz
(2021)Matthias Neumann;Eduardo Machado Charry;Karin Zojer;Volker Schmidt
(2021)G.A. Delsing;G.A. Delsing;Michel Mandjes;Peter Spreij;Peter Spreij;E.M.M. Winands;E.M.M. Winands
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