| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Economics and Finance | 417 | 14 | 15 | 5 |
The journal generally zeroes in on subjects such as Econometrics, Discrete choice, Statistics, Choice set and Mixed logit. Journal of choice modelling facilitates discussions on Econometrics that incorporate concepts from other fields like Latent variable and Multinomial logistic regression. While Discrete choice is the focus of it, it also provided insights into the studies of Logistic regression, Data mining, Artificial intelligence and Choice modelling.
The Choice set study featured in the journal draws parallels with the field of Operations research. The Operations research study tackled is a key component of adjacent topics in the area of Process (engineering). The work on Mixed logit addressed in the journal expands to the thematically related Mathematical optimization.
The most cited publications investigate areas of study like Econometrics, Discrete choice, Statistics, Respondent and Choice set. The journal articles explore topics in Econometrics which can be helpful for research in disciplines like Latent variable, Mixed logit and Multinomial logistic regression. The most cited publications hold forums on Choice set that merge themes from other disciplines such as Proxy (statistics), Preference (economics) and Mathematical optimization.
The aim of Journal of choice modelling is to expand the discussion of research in Econometrics, Discrete choice, Choice modelling, Willingness to pay and Respondent. The research on Econometrics tackled can also make contributions to studies in the areas of Estimator and Preference (economics). In addition to Discrete choice research, the journal aims to explore topics under Valuation (finance), Artificial intelligence and Operations research.
The study of Hierarchical database model and how it intertwines with concepts under Process (engineering) were explored in the presented Operations research research. The journal features works in Willingness to pay, more specifically Contingent valuation, and explores their relation to disciplines like Applied economics. Research in Latent variable and the interrelating topic of Econometric model were among the subjects of interest in the Endogeneity studies discussed in the journal.
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 Journal of choice modelling (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 Journal of choice modelling (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, 9.09% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 42.50% were posted by at least one author from the top 10 institutions publishing in the journal. Another 20.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.00% of all publications and 22.50% 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.
A degree in subjects such as Econometrics, Discrete choice and Choice modelling can open numerous career opportunities for graduates and professionals. Depending on the specific area of study, individuals could pursue careers as Accountants, Statisticians, Operations Research Analysts, and more. For instance, specializing in Econometrics could lend itself to a promising career in accounting. opt for degree courses that best prepare for these careers. Vermont, in particular, is home to numerous renowned institutions offering comprehensive programs in accounting. You can learn more about accounting programs by visiting our guide on the [best accounting schools in Vermont](/degrees/best-accounting-schools-in-vermont). Furthermore, becoming a Certified Public Accountant (CPA) could significantly increase one's chances of securing high-ranking positions within the accounting field. This process involves meeting specific education and experience requirements, followed by passing the Uniform CPA Examination. Find out more about the process on our page on [how to become a CPA in Vermont](/degrees/best-accounting-schools-in-vermont). Those with a focus on Discrete choice and Choice modelling could find ample opportunities in the field of data science, where they could find likely employment as Machine Learning Engineers or Data Analysts. In both cases, knowledge and hands-on experience with statistical software can prove beneficial for career advancement. Remember that while education can provide the necessary theoretical knowledge, practical experience is equally crucial for a successful career in these fields. Internships, part-time jobs, and robust study projects can all provide valuable industry experience.
Milad Haghani;Milad Haghani;Michiel C.J. Bliemer;David A. Hensher
(2021)Sebastian Himmler;Vikas Soekhai;Job van Exel;Werner Brouwer
(2021)Daniel E. Chavez;Marco A. Palma;Rodolfo M. Nayga;James W. Mjelde
(2020)For students pursuing Economics and Finance, exploring related online degrees can broaden career opportunities and enhance specialized skills. Many professionals supplement their knowledge with accredited bookkeeping courses to gain expertise in managing financial records accurately and efficiently, a crucial skill in various business sectors.
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