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Networks and Spatial Economics
H-index 12

Networks and Spatial Economics

1566-113X

Published by: Springer

https://www.springer.com/journal/11067

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Economics and Finance 655 4 5 2
Engineering and Technology 869 25 29 9

Additional Metrics

Number of Best Scientists*: 48
Documents by Best Scientists*: 51
Top 100 Ranked Scientists*: 3
SCIMAGO H-index: 61
SCIMAGO SJR: 0.472
Impact Factor: 1.5

Overview

Top Research Topics at Networks and Spatial Economics?

The concepts of Mathematical optimization, Operations research, Transport engineering, Mathematical model and Microeconomics are tackled in the journal. The journal focuses on Mathematical optimization but the discussions also offer insight into other areas such as Network planning and design and Path (graph theory). It connects research in Operations research with the related topic of Flow network.

The main emphasis of the journal is the subject of Transport engineering, focusing on Public transport. More specifically, the research on Microeconomics in Networks and Spatial Economics is related to Profit (economics).

  • Mathematical optimization (29.91%)
  • Operations research (16.86%)
  • Transport engineering (15.25%)

What are the most cited papers published in the journal?

  • Foundations of dynamic traffic assignment : the past, the present and the future (655 citations)
  • Dynamic network traffic assignment and simulation methodology for advanced system management applications (320 citations)
  • Microsimulation of Urban Development and Location Choices: Design and Implementation of UrbanSim (315 citations)

Research areas of the most cited articles at Networks and Spatial Economics:

The journal articles investigate areas of study like Mathematical optimization, Operations research, Mathematical model, Transport engineering and Simulation. The journal articles explore topics in Mathematical optimization which can be helpful for research in disciplines like Network planning and design and Scale (descriptive set theory). The most cited papers explore research in Location model and overlapping concepts in Flow (mathematics) to expand the discourse in Mathematical model.

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

  • Statistics
  • Artificial intelligence
  • Computer network

The previous edition focused in particular on these issues:

The journal mainly deals with areas of study such as Operations research, Process (engineering), Mathematical optimization, Resilience (network) and Production (economics). Concepts in Flow network, as well as related topics in Inventory level, Control (management) and Discount points, are covered in the Operations research research presented in Networks and Spatial Economics. The work on Process (engineering) tackled in Networks and Spatial Economics brings together disciplines like Mode choice, Preference (economics), Key (cryptography) and Pareto principle.

The journal addresses concerns in Mathematical optimization which are intertwined with other disciplines, such as Node (networking) and Headway. While Resilience (network) is the focus of Networks and Spatial Economics, it also provided insights into the studies of Environmental economics, Corporate governance and Interdependent networks. In addition to Production (economics) research, it aims to explore topics under Mode (statistics), Econometrics, Willingness to pay, Function (mathematics) and Extreme value theory.

The most cited articles from the last journal are:

  • A Game-Theoretic Approach to the Freight Transportation Pricing Problem in the Presence of Intermodal Service Providers in a Competitive Market (4 citations)
  • Decomposability and Relative Invariance: the Structural Approach to Network Complexity and Resilience (3 citations)
  • Assessing the Spatial Transferability of Freight (Trip) Generation Models across and within States of India: Empirical Evidence and Implications for Benefit Transfer (3 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 Networks and Spatial Economics (based on the number of publications) are:

  • Terry L. Friesz (15 papers) absent at the last edition,
  • Aura Reggiani (12 papers) absent at the last edition,
  • Peter Nijkamp (12 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Srinivas Peeta (11 papers) absent at the last edition,
  • Steven A. Gabriel (11 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.

Only papers with recognized affiliations are considered

The top affiliations publishing in Networks and Spatial Economics (based on the number of publications) are:

  • Rensselaer Polytechnic Institute (23 papers) absent at the last edition,
  • Beijing Jiaotong University (22 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • Purdue University (21 papers) absent at the last edition,
  • Pennsylvania State University (19 papers) absent at the last edition,
  • University of Leeds (18 papers) published 2 papers 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, 9.30% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 12.82% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.26% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 17.95% of all publications and 58.97% 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.

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Path to a Career in Networks and Spatial Economics

If you're interested in pursuing a career in Networks and Spatial Economics, obtaining appropriate educational qualifications is the first step towards achieving your goal. As this field is multidisciplinary, you could consider a variety of majors and areas of study including economics, mathematics, statistics, computer science, and engineering. If you're specifically interested in accountancy within this field, understanding core principles of economics and crucial accounting strategies would be extremely advantageous. South Dakota, for instance, has some excellent educational institutions offering relevant courses for ambitious students. You can find a list of the best accounting schools in South Dakota on our dedicated page.

Simultaneously, becoming a Certified Public Accountant (CPA) could drastically enhance your career prospects in this field. Fulfilling CPA requirements typically involves completing specific education and experience requirements, and successfully passing the Uniform CPA Exam. Our comprehensive guide on how to become a CPA in South Dakota can help you understand the steps involved in this process.

Remember, a career in Networks and Spatial Economics isn’t limited to one pathway. Based on your interests, skills, and qualifications, you can explore an array of career avenues including analyst roles, academic researcher positions, consulting opportunities, and more.

Top Publications

  • Maritime Traffic as a Complex Network: a Systematic Review

    Nicanor García Álvarez;Belarmino Adenso-Díaz;Laura Calzada-Infante

    (2021)
    36 Citations
  • Exploring Recovery Strategies for Optimal Interdependent Infrastructure Network Resilience

    Yasser Almoghathawi;Andrés D. González;Kash Barker

    (2021)
    26 Citations
  • Delay, Throughput and Emission Tradeoffs in Airport Runway Scheduling with Uncertainty Considerations

    Jianan Yin;Jianan Yin;Yuanyuan Ma;Yuxin Hu;Ke Han

    (2021)
    20 Citations
  • Facility Dependent Distance Decay in Competitive Location

    Tammy Drezner;Zvi Drezner;Dawit Zerom

    (2020)
    19 Citations
  • Synchronizing Last Trains of Urban Rail Transit System to Better Serve Passengers from Late Night Trains of High-Speed Railway Lines

    Sihui Long;Lingyun Meng;Jianrui Miao;Xin Hong

    (2020)
    18 Citations
  • A Dynamic Tree Algorithm for Peer-to-Peer Ridesharing Matching

    Rui Yao;Shlomo Bekhor

    (2021)
    18 Citations
  • Airport Road Access at Planet Scale using Population Grid and Openstreetmap

    Xiaoqian Sun;Sebastian Wandelt;Sebastian Wandelt;Mark Hansen

    (2020)
    15 Citations
  • In Search of Concerted Strategies for Competitive and Resilient Regions

    Kamila Borsekova;Samuel Koróny;Peter Nijkamp

    (2021)
    12 Citations
  • Micro and Macro Resilience Measures of an Economic Crisis

    Cristina Bernini;Maria Francesca Cracolici;Peter Nijkamp

    (2020)
    12 Citations

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