Transportation Research, Part C: Emerging Technologies

Top Research Topics at Transportation Research Part C-emerging Technologies?

The scientific interests tackled in Transportation Research Part C-emerging Technologies are Transport engineering, Simulation, Operations research, Mathematical optimization and Traffic flow. The in-depth study on Transport engineering also explores topics in the intersecting field of Global Positioning System. While work presented in the journal provided substantial information on Simulation, it also covered topics in Real-time computing and Traffic simulation.

The journal facilitated presentations on Mathematical optimization research, particularly Integer programming and Optimization problem. Many of the studies tackled connect Traffic flow with a similar field of study like Control theory.

• Transport engineering (18.83%)
• Simulation (17.81%)
• Operations research (16.61%)

What are the most cited papers published in the journal?

• Long short-term memory neural network for traffic speed prediction using remote microwave sensor data (848 citations)
• Comparison of parametric and nonparametric models for traffic flow forecasting (707 citations)
• Evaluation of traffic data obtained via GPS-enabled mobile phones: The Mobile Century field experiment (695 citations)

Research areas of the most cited articles at Transportation Research Part C-emerging Technologies:

The most cited papers mostly deal with topics like Simulation, Transport engineering, Traffic flow, Operations research and Mathematical optimization. Aside from discussions in Simulation, the most cited publications also deal with the subject of Real-time computing which intersects with Global Positioning System disciplines. The published articles address concerns in Traffic flow which are intertwined with other disciplines, such as Traffic generation model, Real-time Control System, Real-time data and Data mining.

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

• Artificial intelligence
• Statistics
• Law

The previous edition focused in particular on these issues:

The journal investigates areas of study like Operations research, Mathematical optimization, Artificial intelligence, Traffic flow and Public transport. The work on Operations research tackled in Transportation Research Part C-emerging Technologies brings together disciplines like Service (business), Scheduling (computing), Service (systems architecture) and Process (engineering). Studies on Mathematical optimization discussed in it link to the field of Traffic congestion.

The study on Artificial intelligence presented in Transportation Research Part C-emerging Technologies intersects with subjects under the field of Machine learning. It explores research in Traffic flow and the adjacent study of Trajectory. The research on Public transport featured in Transportation Research Part C-emerging Technologies combines topics in other fields like Smart card and Travel behavior.

The most cited articles from the last journal are:

• Risk assessment based collision avoidance decision-making for autonomous vehicles in multi-scenarios (19 citations)
• A big-data driven approach to analyzing and modeling human mobility trend under non-pharmaceutical interventions during COVID-19 pandemic. (18 citations)
• On the inefficiency of ride-sourcing services towards urban congestion (18 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 Transportation Research Part C-emerging Technologies (based on the number of publications) are:

• Hai Yang (40 papers) published 8 papers at the last edition, 5 more than at the previous edition,
• Markos Papageorgiou (37 papers) published 1 paper at the last edition, 2 less than at the previous edition,
• Serge P. Hoogendoorn (35 papers) published 3 papers at the last edition, 3 less than at the previous edition,
• Yafeng Yin (32 papers) published 5 papers at the last edition, 3 more than at the previous edition,
• Ziyou Gao (27 papers) published 4 papers at the last edition, 2 more than at the previous 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 Transportation Research Part C-emerging Technologies (based on the number of publications) are:

• Delft University of Technology (156 papers) published 22 papers at the last edition, 1 more than at the previous edition,
• Beijing Jiaotong University (108 papers) published 22 papers at the last edition, 11 more than at the previous edition,
• University of California, Berkeley (105 papers) published 8 papers at the last edition, 2 more than at the previous edition,
• Tongji University (101 papers) published 19 papers at the last edition, 4 more than at the previous edition,
• Tsinghua University (89 papers) published 15 papers at the last edition the same number as 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, 4.39% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 34.05% were posted by at least one author from the top 10 institutions publishing in the journal. Another 11.08% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 24.59% of all publications and 30.27% 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.