Published by: Taylor & Francis
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Environmental Sciences | 452 | 34 | 32 | 11 |
| Computer Science | 613 | 25 | 25 | 9 |
The discussions in European Journal of Remote Sensing mainly cover the fields of Remote sensing, Remote sensing (archaeology), Artificial intelligence, Satellite and Hyperspectral imaging. The Remote sensing works featured in European Journal of Remote Sensing incorporate elements from Meteorology and Normalized Difference Vegetation Index. It encompasses Normalized Difference Vegetation Index studies in the context of Vegetation as a whole.
The studies tackled, which mainly focus on Remote sensing (archaeology), apply to Environmental resource management as well. Issues in Artificial intelligence were discussed, taking into consideration concepts from other disciplines like Computer vision and Pattern recognition.
The most cited articles aim to foster the development of research in Remote sensing, Remote sensing (archaeology), Satellite imagery, Artificial intelligence and Multispectral image. While Remote sensing is the focus of the published articles, it also provides insights into the studies of Tree (data structure), Normalized Difference Vegetation Index and Laser scanning. The journal publications explore research in Land use and overlapping concepts in Environmental resource management to expand the discourse in Remote sensing (archaeology).
The journal mostly deals with topics like Remote sensing, Remote sensing (archaeology), China, Artificial intelligence and Physical geography. The journal addresses concerns in Remote sensing which are intertwined with other disciplines, such as Land cover, Satellite and Support vector machine. The work on Satellite tackled in it brings together disciplines like Calibration and Precipitation.
European Journal of Remote Sensing explores research in Remote sensing (archaeology) alongside concepts in Environmental resource management and other areas of study in Ecosystem. China research featured in it incorporates concerns from various other topics such as Drainage basin, Spatial distribution, Soil salinity and Sustainable development. European Journal of Remote Sensing focuses on Artificial intelligence research which is adjacent to topics in 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 European Journal of Remote Sensing (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 European Journal of Remote Sensing (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, 4.44% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 11.63% were posted by at least one author from the top 10 institutions publishing in the journal. Another 6.98% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 11.63% of all publications and 69.77% 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.
Saverio Francini;Ronald E. McRoberts;Francesca Giannetti;Marco Mencucci
(2020)Sicong Liu;Yongjie Zheng;Michele Dalponte;Xiaohua Tong
(2020)Stefan Lang;Petra Füreder;Barbara Riedler;Lorenz Wendt
(2020)Omid Ghorbanzadeh;Dirk Tiede;Lorenz Wendt;Martin Sudmanns
(2021)Weizeng Shao;Ferdinando Nunziata;Youguang Zhang;Valeria Corcione
(2021)Haraldur Olafsson;Iman Rousta
(2021)L. Madhuanand;P. Sadavarte;A.J.H. Visschedijk;H.A.C. Denier Van Der Gon
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