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Journal of Spatial Science
H-index 8

Journal of Spatial Science

1449-8596

Published by: Taylor & Francis

https://www.tandfonline.com/toc/tjss20/current

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Environmental Sciences 723 8 11 5

Additional Metrics

Number of Best Scientists*: 26
Documents by Best Scientists*: 28
Top 100 Ranked Scientists*: 1
SCIMAGO H-index: 36
SCIMAGO SJR: 0.347
Impact Factor: 1.7

Overview

Top Research Topics at Journal of Spatial Science?

The concepts of Remote sensing, Cartography, Artificial intelligence, Remote sensing (archaeology) and Geodesy are tackled in the journal. Remote sensing research presented in Journal of Spatial Science encompasses a variety of subjects, including Land cover, GNSS applications, Satellite and Vegetation. Precise Point Positioning is a focus of the GNSS applications works in the journal.

In addition to Artificial intelligence research, it aims to explore topics under Computer vision and Pattern recognition. Most of the Geodesy studies addressed also intersect with Global Positioning System.

  • Remote sensing (20.13%)
  • Cartography (11.13%)
  • Artificial intelligence (8.99%)

What are the most cited papers published in the journal?

  • Building modern land administration systems in developed economies (125 citations)
  • An integrated field and remote sensing approach for mapping seagrass cover, Moreton Bay, Australia (98 citations)
  • Enhanced evaluation of image segmentation results (92 citations)

Research areas of the most cited articles at Journal of Spatial Science:

The main points discussed in the journal publications deal with Remote sensing, Artificial intelligence, Cartography, Data mining and Remote sensing (archaeology). While Remote sensing is the focus of the journal publications, it also provides insights into the studies of Land cover, Feature extraction, Global Positioning System and Random forest. The journal papers explore issues in Artificial intelligence which can be linked to other research areas like Human–computer interaction, Computer vision and Pattern recognition.

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

  • Artificial intelligence
  • Statistics
  • Ecology

The previous edition focused in particular on these issues:

The topics of Remote sensing (archaeology), Remote sensing, Algorithm, GNSS applications and Artificial intelligence are the focal point of discussions in the journal. Journal of Spatial Science explores topics in Remote sensing (archaeology) which can be helpful for research in disciplines like Mangrove ecosystem, Mangrove, Government, Current (stream) and Stakeholder analysis. Multispectral image is a major topic of Remote sensing research presented in the journal.

It facilitates discussions on Algorithm that incorporate concepts from other fields like Stochastic modelling, Encryption, Global Positioning System and Vector map. It explores issues in GNSS applications which can be linked to other research areas like Centerpoint, Real-time computing, Ionosphere and Code (cryptography). The journal addresses concerns in Artificial intelligence which are intertwined with other disciplines, such as Big data, Urban planning, Computer vision and Pattern recognition.

The most cited articles from the last journal are:

  • GNSSer: objected-oriented and design pattern-based software for GNSS data parallel processing (6 citations)
  • Combined GPS+BDS instantaneous single- and dual-frequency RTK positioning: stochastic modelling and performance assessment (6 citations)
  • Enhancing the accuracy of retrieving quantities of turbidity and total suspended solids using Landsat-8-based-principal component analysis technique (5 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 Spatial Science (based on the number of publications) are:

  • Will Featherstone (15 papers) absent at the last edition,
  • Ian Williamson (9 papers) absent at the last edition,
  • Abbas Rajabifard (9 papers) absent at the last edition,
  • Onisimo Mutanga (8 papers) published 1 paper at the last edition,
  • Stuart R. Phinn (7 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 Journal of Spatial Science (based on the number of publications) are:

  • Curtin University (33 papers) published 1 paper at the last edition, 2 less than at the previous edition,
  • University of Melbourne (30 papers) published 1 paper at the last edition the same number as at the previous edition,
  • Chinese Academy of Sciences (20 papers) published 5 papers at the last edition, 2 more than at the previous edition,
  • RMIT University (18 papers) published 1 paper at the last edition the same number as at the previous edition,
  • University of Queensland (13 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, 6.25% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 26.67% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.56% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.11% of all publications and 46.67% 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 new GIS-based technique using an adaptive neuro-fuzzy inference system for land subsidence susceptibility mapping

    Omid Ghorbanzadeh;Thomas Blaschke;Jagannath Aryal;Khalil Gholaminia

    (2020)
    113 Citations
  • HyMap imagery for copper and manganese prospecting in the east of Ameln valley shear zone (Kerdous inlier, western Anti-Atlas, Morocco)

    (2023)
    19 Citations
  • Automatic building rooftop extraction using a digital surface model derived from aerial stereo images

    Bin Wu;Siyuan Wu;Yong Li;Jianping Wu

    (2020)
    14 Citations
  • Exploring the utility of Sentinel-2 for estimating maize chlorophyll content and leaf area index across different growth stages

    (2021)
    10 Citations
  • Multivariate copula quantile mapping for bias correction of reanalysis air temperature data

    F. Alidoost;A. Stein;B. Su;Ali Sharifi

    (2021)
    7 Citations
  • Using spatial heterogeneity to strengthen the neighbourhood effects of urban growth simulation models

    (2021)
    5 Citations
  • Optimising Sentinel-2 MSI spatial resolution for estimating foliar nitrogen concentration in miombo woodlands

    Godfrey Mutowo;Onisimo Mutanga;Mhosisi Masocha

    (2021)
    3 Citations
  • Spatial averages of in situ measurements versus remote sensing observations: a soil moisture analysis

    Nilda Sanchez;Laura Almendra;Javier Plaza;Ángel González-Zamora

    (2020)
    2 Citations
  • Predicting land use and land cover change dynamics in the eThekwini Municipality: a machine learning approach with Landsat imagery

    (2024)
    0 Citations
  • Fusion of PlanetScope and Sentinel 2 in assessing foliar C:N ratio in a rangeland

    (2023)
    0 Citations

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