| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Environmental Sciences | 723 | 8 | 11 | 5 |
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.
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.
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.
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:
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:
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.
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.
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.
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.
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:
The chart below illustrates experience levels of first authors in cases of publications with multiple authors.
Omid Ghorbanzadeh;Thomas Blaschke;Jagannath Aryal;Khalil Gholaminia
(2020)Bin Wu;Siyuan Wu;Yong Li;Jianping Wu
(2020)F. Alidoost;A. Stein;B. Su;Ali Sharifi
(2021)Godfrey Mutowo;Onisimo Mutanga;Mhosisi Masocha
(2021)Nilda Sanchez;Laura Almendra;Javier Plaza;Ángel González-Zamora
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