| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Economics and Finance | 358 | 28 | 49 | 6 |
The journal focuses largely on the fields of Econometrics, Statistics, Nonlinear system, Probability and statistics and Volatility (finance). It explores topics in Econometrics which can be helpful for research in disciplines like Monte Carlo method and Series (mathematics). The journal concentrates on Statistics topics that focus on Estimator and Nonparametric statistics.
Many of the studies tackled connect Estimator with a similar field of study like Applied mathematics. Discussions in Studies in Nonlinear Dynamics and Econometrics are anchored in the subject of Applied mathematics and the similar topic of Mathematical optimization. The featured Volatility (finance) study falls within the wider topic of Financial economics.
The published articles are mainly concerned with subjects like Econometrics, Nonlinear system, Volatility (finance), Series (mathematics) and Statistics. The published articles hold forums on Econometrics that merge themes from other disciplines such as Probability and statistics and Wavelet. The journal publications focus on Nonlinear system but sometimes tackle the closely related topic of Monetary policy which is concerned with Predictability.
The objective of Studies in Nonlinear Dynamics and Econometrics is to combine knowledge in the areas of Econometrics, Probability and statistics, Cointegration, Statistics and Monetary economics. Econometrics and Measure (mathematics) are closely related fields of research discussed in the journal. The work on Probability and statistics tackled in the journal brings together disciplines like Currency, Inflation, Applied mathematics, Upper and lower bounds and Series (mathematics).
It tackles studies in Consumption (economics) and the interrelated subject of Personal income, Short run, Granger causality and Per capita to gain insights into Cointegration. Issues in Statistics were discussed, taking into consideration concepts from other disciplines like Variance (accounting), Estimation and Lagrange multiplier. The journal focuses on Monetary economics but the discussions also offer insight into other areas such as Business cycle, Bond, Recession and Credit risk.
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 Studies in Nonlinear Dynamics and Econometrics (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 Studies in Nonlinear Dynamics and Econometrics (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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 8.33% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.33% 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 70.83% 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.
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This section provides an alternative for those interested in the economics field and gives potential options and pathways for them to discover and explore.
Steven M. Fazzari;James Morley;Irina Panovska
(2021)Timm Faulwasser;Marco Gross;Willi Semmler;Prakash Loungani
(2020)Christina Christou;Ruthira Naraidoo;Rangan Gupta
(2020)Jinan Liu;Apostolos Serletis
(2020)Abderrazak Dhaoui;Julien Chevallier;Feng Ma
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