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Published by: Elsevier
https://www.journals.elsevier.com/transportation-research-part-a-policy-and-practice
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 104 | 113 | 264 | 44 |
| Business and Management | 114 | 34 | 76 | 24 |
The journal primarily focuses on research topics in Transport engineering, Public transport, Operations research, Econometrics and Travel behavior. Transport engineering study tackled is connected to the field of Metropolitan area. Marketing and Service (business) are some topics wherein Public transport research discussed in the journal have an impact.
Transportation Research Part A-policy and Practice features studies on Econometrics, including topics such as Discrete choice. The main emphasis of it is the subject of Traffic congestion, focusing on Congestion pricing.
The most cited papers are organized to address concerns in the fields of Transport engineering, Operations research, Public transport, Travel behavior and Traffic congestion. The published papers explore topics in Transport engineering which can be helpful for research in disciplines like Metropolitan area, Environmental economics and Discrete choice. In addition to Travel behavior research, the most cited articles aim to explore topics under Data collection, Advertising and Econometrics.
The journal covers a variety of subjects, including Transport engineering, Public transport, TRIPS architecture, Marketing and Travel behavior. The overlapping concepts between Metropolitan area and Demographic economics are the key highlights of Transport engineering study. Transportation Research Part A-policy and Practice focuses on Public transport but the discussions also offer insight into other areas such as Traffic congestion, Public economics, Service (business) and Operations research.
Some problems in TRIPS architecture that were presented in the journal overlapped with concepts under Duration (project management) and Mode (statistics). The study on Marketing presented in Transportation Research Part A-policy and Practice intersects with subjects under the field of Sustainable transport. Transportation Research Part A-policy and Practice links adjacent topics like Travel behavior with Econometrics.
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 Transportation Research Part A-policy and Practice (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 Transportation Research Part A-policy and Practice (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, 5.63% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 21.89% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.42% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.88% of all publications and 37.81% 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 this journal encompasses a broad range of topics related to transportation and related fields, it is also critical to contemplate how these research topics might directly benefit professionals in sectors such as Urban Planning. For instance, the knowledge gained from studies on the Transport engineering, Public transport and Traffic congestion could be pivotal for urban planners in designing more efficient, sustainable, and user-friendly urban environments. Through these insights, urban planners can understand, model, and predict transportation patterns, thereby assisting in the reduction of traffic congestion, enhancement of public transport systems, and consequently, overall urban efficiency. Similarly, examining the impact of this research on professional decision-making processes can prove invaluable. For instance, learning how discrete factors and individual choices affect travel behavior can significantly inform urban planning strategies. To become an urban planner in West Virginia, one might consider attending a business school located in West Virginia that offers a concentration in urban planning or related fields. This would provide access to the necessary resources and experience in both the theoretical and practical aspects of the profession. Following these potential career paths can lead to opportunities to contribute positively to the research community and use the knowledge in real-world applications. To learn more about the best business schools in West Virginia, [click here](https://research.com/degrees/best-business-schools-in-west-virginia).
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