| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Economics and Finance | 134 | 52 | 63 | 14 |
The journal was organized to reinforce research efforts on Econometrics, Mathematical optimization, Applied mathematics, Artificial intelligence and Microeconomics. Volatility (finance) is a focus of the Econometrics works in it. Mathematical optimization study tackled is connected to the field of Monte Carlo method.
The majority of Artificial intelligence studies are focused on the issues of Artificial neural network.
Econometrics, Mathematical optimization, Artificial intelligence, Artificial neural network and Microeconomics are the main subjects of interest in the published papers. The most cited articles help close the divide between two different fields of study: Econometrics and If and only if. The published articles address concerns in Mathematical optimization which are intertwined with other disciplines, such as Convention, Mathematical economics, Chebyshev polynomials and Population Distributions.
The journal tackles a plethora of topics, such as Econometrics, Artificial intelligence, Mathematical optimization, Artificial neural network and Machine learning. The research on Econometrics featured in Computational Economics combines topics in other fields like Measure (mathematics), Exchange rate and Portfolio. It investigates Artificial intelligence research which frequently intersects with Process (engineering).
Computational Economics links adjacent topics like Mathematical optimization with Selection (genetic algorithm). The journal addresses concerns in Artificial neural network which are intertwined with other disciplines, such as Genetic algorithm and Finance. The majority of Machine learning studies presented zero in on Random forest.
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 Computational Economics (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 Computational Economics (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, 9.86% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 9.38% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.21% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 8.33% of all publications and 77.08% 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.
While the field of computational economics is not directly linked to the accounting profession, it builds a strong foundation for financial analysis, understanding economic models and trends—essential skills for accountants. Several top institutions offering some of the best accounting programs in Kansas also incorporate studies related to computational economics in their curriculum. This helps their students develop a broader understanding of economic behavior, making them suitable for a variety of roles in the financial industry. So, aspiring and practicing accountants can gain valuable insights from Computational Economics, enhancing their understanding of critical financial concepts and mechanisms, improving their decision-making, and increasing their competitiveness in the job market. A deeper comprehension of computational economics can help accountants transition into advisory roles, interpret economic indicators, perform econometric analysis, and contribute to policy-making. Thus, Computational Economics is an essential resource for accountants seeking to broaden their perspectives and deepen their skills, contributing to their personal growth and the finance industry as a whole.
Niklas Bussmann;Paolo Giudici;Dimitri Marinelli;Jochen Papenbrock
(2021)Unknown
(2022)Hyeongjun Kim;Hoon Cho;Doojin Ryu
(2021)Sang Hoon Kang;Seong-Min Yoon;Stelios Bekiros;Gazi Salah Uddin
(2020)For students interested in Economics and Finance, exploring related online degree programs can open doors to diverse career opportunities. Pursuing an accelerated online finance degree is an excellent option for those looking to quickly gain specialized financial knowledge while balancing other commitments.
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