| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Engineering and Technology | 262 | 68 | 128 | 27 |
| Business and Management | 294 | 13 | 22 | 11 |
Transportation Science mainly tackles studies in Mathematical optimization, Operations research, Transport engineering, Vehicle routing problem and Simulation. The journal explores topics in Mathematical optimization which can be helpful for research in disciplines like Routing (electronic design automation) and Mathematical model. While it focused on Operations research, it was also able to explore topics like Scheduling (production processes), Schedule, Air traffic control, Aviation and Scheduling (computing).
The journal facilitated presentations on Transport engineering research, particularly Traffic flow, Traffic congestion and Public transport. Transportation Science investigates Vehicle routing problem research which frequently intersects with Heuristics.
The journal articles primarily tackle Mathematical optimization, Operations research, Vehicle routing problem, Transport engineering and Mathematical model. The journal papers focus on Mathematical optimization but the discussions also offer insight into other areas such as Algorithm and Simulation. Issues in Operations research were discussed in the most cited papers, taking into consideration concepts from other disciplines like Fleet management, Scheduling (computing), Aviation, Scheduling (production processes) and Integer programming.
The objective of the journal is to combine knowledge in the areas of Mathematical optimization, Operations research, Routing (electronic design automation), Vehicle routing problem and Computer network. Transportation Science tackles issues in Mathematical optimization, particularly in the topics of Integer programming, Travelling salesman problem, Branch and cut, Benders' decomposition and Heuristic. In Transportation Science, Schedule, Service (business) and Public transport are investigated in conjunction with one another to address concerns in Operations research research.
Most of the works presented in it deals with Routing (electronic design automation) but it intersects with the subject of Shortest path problem. Transportation Science served as a forum through which researchers explored different topics like Vehicle routing problem and Time windows. The main emphasis of Transportation Science is the research on Computer network, emphasizing the topic of Queueing theory.
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 Science (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 Science (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, 5.19% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 31.51% were posted by at least one author from the top 10 institutions publishing in the journal. Another 17.81% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.96% of all publications and 39.73% 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.
Iman Dayarian;Martin W. P. Savelsbergh;John-Paul Clarke
(2020)Marlin W. Ulmer;Barrett W. Thomas;Ann Melissa Campbell;Nicholas Woyak
(2021)Aurélien Froger;Ola Jabali;Jorge E. Mendoza;Gilbert Laporte
(2021)Mouad Morabit;Guy Desaulniers;Andrea Lodi
(2021)Yu Wang;Xiaopeng Shaw Li;Junfang Tian;Rui Jiang
(2020)Duc Minh Vu;Mike Hewitt;Natashia Boland;Martin W. P. Savelsbergh
(2020)Shuaian Wang;Dan Zhuge;Lu Zhen;Chung-Yee Lee
(2021)Marlin W. Ulmer;Martin W. P. Savelsbergh
(2020)Luca Accorsi;Daniele Vigo
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