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Journal of Rail Transport Planning and Management
H-index 12

Journal of Rail Transport Planning and Management

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Engineering and Technology 729 12 28 12

Additional Metrics

Number of Best Scientists*: 20
Documents by Best Scientists*: 35
Top 100 Ranked Scientists*: 0
SCIMAGO H-index: 37
SCIMAGO SJR: 0.813
Impact Factor: 2.7

Overview

Top Research Topics at Journal of Rail Transport Planning & Management?

Journal of Rail Transport Planning & Management investigates areas of study like Transport engineering, Operations research, Mathematical optimization, Simulation and Robustness (computer science). The Rail freight transport studies presented in it fall under the field of Transport engineering, but it also has connections to other fields such as Plan (drawing). It holds forums on Operations research that merges themes from other disciplines such as Control (management), Revenue, Punctuality and Integer programming.

The Mathematical optimization study featured in the journal draws parallels with the field of Scheduling (computing). Simulation research is the primary subject tackled in the journal with a focus on Headway. The journal focused on Robustness (computer science) research but expanded to cover Real-time computing.

  • Transport engineering (27.75%)
  • Operations research (26.70%)
  • Mathematical optimization (11.52%)

What are the most cited papers published in the journal?

  • Stochastic modelling of delay propagation in large networks (73 citations)
  • Optimal multi-class rescheduling of railway traffic (70 citations)
  • Railway line capacity consumption of different railway signalling systems under scheduled and disturbed conditions (68 citations)

Research areas of the most cited articles at Journal of Rail Transport Planning & Management:

The journal papers tackle a plethora of topics, such as Transport engineering, Operations research, Simulation, Control (management) and Scheduling (computing). The published papers with studies in Transport engineering featured incorporate elements of Order (exchange), Reliability engineering, Planned maintenance and Robustness (computer science). The published Simulation works encompass concepts such as Headway and examines them in conjunction with Flow (mathematics).

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

  • Statistics
  • Artificial intelligence
  • Marketing

The previous edition focused in particular on these issues:

Journal of Rail Transport Planning & Management mostly deals with topics like Operations research, Control (management), Schedule, Automotive engineering and Management system. Variety (cybernetics) and Integer linear programming model are some topics wherein Operations research research discussed in the journal have an impact. Some problems in Control (management) that were presented in it overlapped with concepts under Urban rail transit, Deadlock prevention algorithms and Distributed computing.

The research on Automotive engineering featured in the journal combines topics in other fields like Capacity utilization and Backward compatibility. The research on Management system tackled can also make contributions to studies in the areas of European rail traffic management system, Computer network and Rail traffic. It focuses on Regenerative brake but the discussions also offer insight into other areas such as Energy consumption and Genetic algorithm.

The most cited articles from the last journal are:

  • An intelligent social-based method for rail-car fleet sizing problem (6 citations)
  • Effects of winter climate on delays of high speed passenger trains in Botnia-Atlantica region (2 citations)
  • Statistical analysis of departure deviations from shunting yards: Case study from Swedish railways (2 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.

The top authors publishing in Journal of Rail Transport Planning & Management (based on the number of publications) are:

  • Rob M.P. Goverde (12 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Francesco Corman (7 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Nils Nießen (7 papers) absent at the last edition,
  • Anders Peterson (6 papers) absent at the last edition,
  • Markus Bohlin (5 papers) published 1 paper at the last edition, 1 less 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.

Only papers with recognized affiliations are considered

The top affiliations publishing in Journal of Rail Transport Planning & Management (based on the number of publications) are:

  • Delft University of Technology (16 papers) published 1 paper at the last edition, 3 less than at the previous edition,
  • Linköping University (10 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • Royal Institute of Technology (9 papers) published 2 papers at the last edition the same number as at the previous edition,
  • Beijing Jiaotong University (9 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Katholieke Universiteit Leuven (7 papers) absent at the last 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, 0.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 35.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 50.00% of all publications and 15.00% 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.

Top Publications

  • A multi-state train-following model for the analysis of virtual coupling railway operations

    Egidio Quaglietta;Meng Wang;Rob M.P. Goverde

    (2020)
    185 Citations
  • Modelling and analysis of Virtual Coupling with dynamic safety margin considering risk factors in railway operations

    (2022)
    55 Citations
  • Dynamic and Robust Timetable Rescheduling for Uncertain Railway Disruptions

    Yongqiu Zhu;Rob M.P. Goverde

    (2020)
    39 Citations
  • A review of train delay prediction approaches

    (2022)
    38 Citations
  • Optimal running time supplement distribution in train schedules for energy-efficient train control

    Gerben M. Scheepmaker;Peter J. Pudney;Amie R. Albrecht;Rob M.P. Goverde

    (2020)
    28 Citations
  • Comparing train driving strategies on multiple key performance indicators

    Gerben M. Scheepmaker;Helen Y. Willeboordse;Jan H. Hoogenraad;Ralph S. Luijt

    (2020)
    27 Citations
  • Dynamic train unit coupling and decoupling at cruising speed: Systematic classification, operational potentials, and research agenda

    Michael Nold;Francesco Corman

    (2021)
    23 Citations
  • Analysis of hydrogen-powered propulsion system alternatives for diesel-electric regional trains

    (2022)
    19 Citations
  • Vehicle-to-Grid (V2G) as line-side energy storage for support of DC-powered electric railway systems

    Hannes Krueger;David Fletcher;Andrew Cruden

    (2021)
    19 Citations
  • GIS and genetic algorithm based integrated optimization for rail transit system planning

    Chro Ahmed;Khalid Nur;Washington Ochieng

    (2020)
    18 Citations

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