0269-9648
Published by: Cambridge University Press
https://www.cambridge.org/core/journals/probability-in-the-engineering-and-informational-sciences
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Mathematics | 365 | 17 | 43 | 8 |
| Engineering and Technology | 1303 | 9 | 14 | 4 |
Probability in the Engineering and Informational Sciences mainly tackles studies in Mathematical optimization, Applied mathematics, Queue, Combinatorics and Statistics. Discussions in it are anchored in the subject of Mathematical optimization and the similar topic of Function (mathematics). Topics in Applied mathematics explored in it were investigated in conjunction with research in Poisson distribution, Distribution (mathematics) and Markov chain.
The research on Markov chain tackled can also make contributions to studies in the areas of Statistical physics and Markov process. Issues in Queue were discussed, taking into consideration concepts from other disciplines like Queueing theory and Server. Topics in Combinatorics were tackled in line with various other fields like Discrete mathematics and Random variable.
Order statistic is part of Statistics studies tackled in the journal.
The journal papers are organized to reinforce research efforts on Mathematical optimization, Applied mathematics, Queue, Statistics and Queueing theory. The journal papers tackle studies in Markov chain and the interrelated subject of State (functional analysis) to gain insights into Mathematical optimization. The featured Applied mathematics studies in the most cited publications mainly concentrate on Random variable but also cover areas of interest in Combinatorics and Function (mathematics).
Probability in the Engineering and Informational Sciences investigates areas of study like Applied mathematics, Queueing theory, Statistics, Mathematical optimization and Statistical physics. In addition to Applied mathematics research, it aims to explore topics under Negative binomial distribution, Series (mathematics), Markov chain and Markov process. Probability in the Engineering and Informational Sciences explores issues in Queueing theory which can be linked to other research areas like Queue and Applied probability.
Queue research featured in the journal incorporates concerns from various other topics such as Server and Network packet. It concentrates on Statistics topics that focus on Sample (statistics) and Independent and identically distributed random variables. The study of Order statistic and how it intertwines with concepts under Stochastic ordering and Random variable were explored in the presented Sample (statistics) research.
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 Probability in the Engineering and Informational Sciences (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 Probability in the Engineering and Informational Sciences (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, 61.90% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.50% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.38% 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 65.62% 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.
Camilla Calì;Maria Longobardi;Jorge Navarro
(2020)Gabi Hanukov;Uri Yechiali
(2021)Serkan Eryilmaz;Cihangir Kan
(2021)Dheeraj Goyal;Maxim Finkelstein;Nil Kamal Hazra
(2021)Jorge Navarro;Pedro Fernández-Martínez;Juan Fernández-Sánchez;Antonio Arriaza
(2020)Jorge Navarro;José María Sarabia
(2020)He Yi;Narayanaswamy Balakrishnan;Xiang Li
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