| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 603 | 43 | 66 | 14 |
The topics of Transport engineering, Operations research, Mathematical optimization, Traffic flow and Control theory are the focal point of discussions in the journal. While Operations research is the focus of the journal, it also provided insights into the studies of Scheduling (production processes), Public transport and Travel time. It served as a forum through which researchers explored different topics like Mathematical optimization and Scheme (programming language).
The research on Traffic flow tackled can also make contributions to studies in the areas of Simulation and Stability (probability). Transportmetrica B-Transport Dynamics addresses concerns in Control theory which are intertwined with other disciplines, such as Control (management), Signal and Diagram.
The published papers focus on Transport engineering, Control theory, Simulation, Traffic flow and Mathematical optimization. The most cited papers link adjacent topics like Transport engineering with Operations research. While the primary focus in the published articles is Mathematical optimization, they also dissect topics surrounding Travel time and Travel behavior and Underpinning as a whole.
Transportmetrica B-Transport Dynamics mostly deals with topics like Operations research, Transport engineering, Artificial intelligence, Control theory and Traffic flow. The journal explores issues in Operations research which can be linked to other research areas like Scheduling (production processes), Public transport network, Rail transit and Travel time. Transportmetrica B-Transport Dynamics held discussions to help close the divide between two different fields of study: Transport engineering and Morning.
The journal focuses on Control theory but the discussions also offer insight into other areas such as Diagram, State (computer science) and Stability (probability). Traffic flow research presented in Transportmetrica B-Transport Dynamics encompasses a variety of subjects, including Self attention and Generative adversarial network. Research in Mathematical optimization and the interrelating topic of Bottleneck were among the subjects of interest in the Travel time reliability studies discussed in it.
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 Transportmetrica B-Transport Dynamics (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 Transportmetrica B-Transport Dynamics (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, 9.43% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 39.58% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.25% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 20.83% of all publications and 33.33% 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.
Rongqin Lu;Gonçalo Homem de Almeida Correia;Xiaomei Zhao;Xiao Liang
(2021)Meiqi Liu;J. Zhao;S. P. Hoogendoorn;M. Wang
(2021)Wai Wong;Wai Wong;S. C. Wong;Henry X. Liu
(2021)Fanting Meng;Lixing Yang;Yun Wei;Shukai Li
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