Journal of Advanced Transportation

Top Research Topics at Journal of Advanced Transportation?

The journal investigates studies in Transport engineering, Operations research, Mathematical optimization, Traffic flow and Public transport. The journal connects research in Transport engineering with the related topic of Service (business). Operations research and Flow network are closely related fields of research discussed in it.

In particular, the Mathematical optimization works presented emphasize discussions on Genetic algorithm. Journal of Advanced Transportation investigates Traffic flow research which frequently intersects with Simulation.

• Transport engineering (24.70%)
• Operations research (15.11%)
• Mathematical optimization (10.19%)

What are the most cited papers published in the journal?

• A capacity related reliability for transportation networks (260 citations)
• Efficient planning of berth allocation for container terminals in Asia (227 citations)
• An AI-based approach for transit route system planning and design (200 citations)

Research areas of the most cited articles at Journal of Advanced Transportation:

The published papers primarily tackle Transport engineering, Operations research, Simulation, Traffic flow and Public transport. While Operations research is the focus of the journal papers, it also provides insights into the studies of Reliability (computer networking), Travel behavior, Flow network, Travel time and Mathematical model. The journal articles explore research in Mathematical optimization and overlapping concepts in Stochastic process to expand the discourse in Simulation.

What topics the last edition of the journal is best known for?

• Statistics
• Artificial intelligence
• Law

The previous edition focused in particular on these issues:

The foci of Journal of Advanced Transportation are Transport engineering, Traffic flow, Artificial intelligence, Operations research and Real-time computing. The journal focuses on Transport engineering research which is adjacent to topics in Truck. The research on Traffic flow discussed in it draws on the closely related field of Traffic congestion.

It addresses concerns in Artificial intelligence which are intertwined with other disciplines, such as Machine learning, Computer vision and Pattern recognition. The study on Operations research presented in it intersects with subjects under the field of Genetic algorithm.

The most cited articles from the last journal are:

• Application of the Bayesian Model Averaging in Analyzing Freeway Traffic Incident Clearance Time for Emergency Management (11 citations)
• Identifying Factors Contributing to the Motorcycle Crash Severity in Pakistan (5 citations)
• A Review of Traffic Congestion Prediction Using Artificial Intelligence (4 citations)

Papers citation over time

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.

Top authors and change over time

The top authors publishing in Journal of Advanced Transportation (based on the number of publications) are:

• William H. K. Lam (31 papers) absent at the last edition,
• Sze Chun Wong (26 papers) absent at the last edition,
• S. C. Wirasinghe (18 papers) absent at the last edition,
• Steven Chien (17 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Hai Yang (13 papers) absent at the last edition.

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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Journal of Advanced Transportation (based on the number of publications) are:

• Beijing Jiaotong University (146 papers) published 25 papers at the last edition, 11 less than at the previous edition,
• Tongji University (139 papers) published 30 papers at the last edition, 8 less than at the previous edition,
• Southeast University (102 papers) published 23 papers at the last edition, 10 less than at the previous edition,
• Chang'an University (95 papers) published 25 papers at the last edition, 16 less than at the previous edition,
• Southwest Jiaotong University (66 papers) published 14 papers at the last edition, 15 less than at the previous edition.

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.

Publication chance based on affiliation

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, 13.44% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 41.93% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.94% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.32% of all publications and 38.82% were from other institutions.

Returning Authors Index

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.

Returning Institution Index

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.

The experience to innovation index

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:

• Novice - P < 5 or C < 25 (the number of publications less than 5 or the number of citations less than 25),
• Competent - P < 10 or C < 100 (the number of publications less than 10 or the number of citations less than 100),
• Experienced - P < 25 or C < 625 (the number of publications less than 25 or the number of citations less than 625),
• Master - P < 50 or C < 2500 (the number of publications less than 50 or the number of citations less than 2500),
• Star - P ≥ 50 and C ≥ 2500 (both the number of publications greater than 50 and the number of citations greater than 2500).

The chart below illustrates experience levels of first authors in cases of publications with multiple authors.