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International Journal of Digital Earth
H-index 31

International Journal of Digital Earth

1753-8947

Published by: Taylor & Francis

https://www.tandfonline.com/toc/tjde20/current

Ranking & Metrics

Discipline name Position Best Scientists Publications D-Index
Environmental Sciences 241 96 115 21
Earth Science 269 32 40 14

Additional Metrics

Number of Best Scientists*: 254
Documents by Best Scientists*: 275
Top 100 Ranked Scientists*: 6
SCIMAGO H-index: 69
SCIMAGO SJR: 1.111
Impact Factor: 4.9

Overview

Top Research Topics at International Journal of Digital Earth?

The discussions in the journal mainly cover the fields of Remote sensing, Digital Earth, Data science, Geospatial analysis and Remote sensing (archaeology). The journal facilitates discussions on Remote sensing that incorporate concepts from other fields like Land cover, Pixel and Earth observation, Satellite. The Digital Earth study featured in it draws parallels with the field of Data mining.

It connects the study in Data science with the closely related area of Spatial analysis. Studies on Geospatial analysis discussed in the journal link to the field of World Wide Web.

  • Remote sensing (26.62%)
  • Digital Earth (17.83%)
  • Data science (11.36%)

What are the most cited papers published in the journal?

  • Crowdsourcing geographic information for disaster response: a research frontier (651 citations)
  • Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS vegetation continuous fields with lidar-based estimates of error (394 citations)
  • Big Data and cloud computing: innovation opportunities and challenges (344 citations)

Research areas of the most cited articles at International Journal of Digital Earth:

The published articles explore disciplines such as Remote sensing, Digital Earth, Data science, Earth observation and Land cover. While Remote sensing is the focus of the journal publications, it also provides insights into the studies of Cartography, Meteorology and Moderate-resolution imaging spectroradiometer. Geospatial analysis, Environmental resource management, World Wide Web, Cloud computing and Process (engineering) are some topics wherein Digital Earth research discussed in the journal papers has an impact.

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:

Remote sensing, Remote sensing (archaeology), Satellite, Data science and Environmental resource management are the subjects of interest in International Journal of Digital Earth. Remote sensing research featured in it incorporates concerns from various other topics such as Scale (ratio), Atmospheric radiative transfer codes and Microwave. The study on Microwave presented in it intersects with subjects under the field of Snow.

The Remote sensing (archaeology) study featured in the journal draws connections with the study of Cryosphere. Topics in Satellite explored in International Journal of Digital Earth were investigated in conjunction with research in Surface (mathematics), Atmospheric sciences and China. The concepts on Data science presented in it can also apply to other research fields, including Open data, Process (engineering) and Mobile phone.

The most cited articles from the last journal are:

  • The characteristics of multi-source mobility datasets and how they reveal the luxury nature of social distancing in the U.S. during the COVID-19 pandemic (20 citations)
  • Machine learning methods’ performance in radiative transfer model inversion to retrieve plant traits from Sentinel-2 data of a mixed mountain forest (8 citations)
  • Three-dimensional CityGML building models in mobile augmented reality: a smartphone-based pose tracking system (7 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 International Journal of Digital Earth (based on the number of publications) are:

  • Huadong Guo (30 papers) published 2 papers at the last edition, 2 less than at the previous edition,
  • Shunlin Liang (12 papers) absent at the last edition,
  • Min Chen (12 papers) published 2 papers at the last edition the same number as at the previous edition,
  • John R. Townshend (11 papers) published 1 paper at the last edition,
  • Chaowei Yang (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 International Journal of Digital Earth (based on the number of publications) are:

  • Chinese Academy of Sciences (161 papers) published 21 papers at the last edition, 5 more than at the previous edition,
  • Wuhan University (56 papers) published 13 papers at the last edition, 3 more than at the previous edition,
  • University of Maryland, College Park (38 papers) published 1 paper at the last edition, 4 less than at the previous edition,
  • Beijing Normal University (33 papers) published 5 papers at the last edition, 3 more than at the previous edition,
  • University of Twente (21 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, 3.23% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 45.56% were posted by at least one author from the top 10 institutions publishing in the journal. Another 4.44% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.67% of all publications and 33.33% 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

  • Big Earth data: disruptive changes in Earth observation data management and analysis?

    Martin Sudmanns;Dirk Tiede;Stefan Lang;Helena Bergstedt

    (2020)
    215 Citations
  • Global DEMs vary from one to another: an evaluation of newly released Copernicus, NASA and AW3D30 DEM on selected terrains of China using ICESat-2 altimetry data

    Unknown

    (2022)
    138 Citations
  • Big Earth Data Science: an Information Framework for a Sustainable Planet

    Huadong Guo;Stefano Nativi;Dong Liang;Max Craglia

    (2020)
    117 Citations
  • A tree-based intelligence ensemble approach for spatial prediction of potential groundwater

    Mohammadtaghi Avand;Saeid Janizadeh;Dieu Tien Bui;Viet Hoa Pham

    (2020)
    88 Citations
  • Spatiotemporal event detection: a review

    Manzhu Yu;Myra Bambacus;Guido Cervone;Keith C. Clarke

    (2020)
    84 Citations
  • A meta-analysis of global crop water productivity of three leading world crops (wheat, corn, and rice) in the irrigated areas over three decades

    Daniel J. Foley;Prasad S. Thenkabail;Itiya P. Aneece;Pardhasaradhi G. Teluguntla

    (2020)
    57 Citations
  • Comparisons of two global built area land cover datasets in methods to disaggregate human population in eleven countries from the global South

    Forrest R. Stevens;Andrea E. Gaughan;Jeremiah J. Nieves;Adam King

    (2020)
    55 Citations
  • Impact of Spatiotemporal Land Use and Land Cover Changes on Surface Urban Heat Islands in a Semiarid Region Using Landsat Data

    Ehsan Kamali Maskooni;Hossein Hashemi;Ronny Berndtsson;Peyman Daneshkar Arasteh

    (2021)
    53 Citations
  • Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides

    Binh Thai Pham;Abolfazl Jaafari;Trung Nguyen-Thoi;Tran Van Phong

    (2021)
    48 Citations
  • Bathymetric mapping and estimation of water storage in a shallow lake using a remote sensing inversion method based on machine learning

    (2022)
    46 Citations

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Best Scientists Contributing to This Journal