| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Environmental Sciences | 401 | 33 | 46 | 13 |
| Computer Science | 629 | 15 | 26 | 9 |
The journal mainly deals with areas of study such as Remote sensing, Cartography, Forestry, Synthetic aperture radar and Remote sensing (archaeology). The research on Remote sensing featured in the journal combines topics in other fields like Radar, Polarimetry and Vegetation. The journal holds forums on Cartography that merges themes from other disciplines such as Land cover and Thematic Mapper.
The journal addresses concerns in Forestry which are intertwined with other disciplines, such as Physical geography and Reflectivity. The study on Lidar presented in the journal intersects with subjects under the field of Canopy.
The journal articles primarily focus on research topics in Remote sensing, Cartography, Forestry, Lidar and Synthetic aperture radar. The journal papers feature studies on Remote sensing, including topics such as Satellite imagery. The journal articles address concerns in the field of Forestry by exploring it in line with topics in Reflectivity which intersect with Hyperspectral imaging subjects.
Canadian Journal of Remote Sensing mainly tackles studies in Remote sensing, Remote sensing (archaeology), Artificial intelligence, Deep learning and Pattern recognition. It explores issues in Remote sensing which can be linked to other research areas like Image (mathematics) and Architecture. Remote sensing (archaeology) research presented in Canadian Journal of Remote Sensing encompasses a variety of subjects, including Land cover, Engineering management, Extraction (military) and Transfer of learning.
While work presented in it provided substantial information on Artificial intelligence, it also covered topics in Seasonality, Series (mathematics) and Computer vision. Concepts in Scale (ratio), as well as related topics in Point cloud, Lidar point cloud and Lidar data, are covered in the Deep learning research presented in Canadian Journal of Remote Sensing. While Canadian Journal of Remote Sensing focused on Pattern recognition, it was also able to explore topics like Deep neural networks, Shadow, Bridging (networking), Crown (botany) and Stochastic resonance (sensory neurobiology).
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 Canadian 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 Canadian 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, 7.14% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 38.46% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.62% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 13.46% of all publications and 38.46% 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.
Masoud Mahdianpari;Masoud Mahdianpari;Bahram Salehi;Fariba Mohammadimanesh;Fariba Mohammadimanesh;Brian Brisco
(2020)Masoud Mahdianpari;Masoud Mahdianpari;Brian Brisco;Jean Elizabeth Granger;Fariba Mohammadimanesh
(2020)Saied Pirasteh;Saied Pirasteh;Somayeh Mollaee;Sarah Narges Fatholahi;Jonathan Li
(2020)Ali Jamali;Masoud Mahdianpari;Brian Brisco;Jean Granger
(2021)Robert H. Fraser;Darren Pouliot;Jurjen van der Sluijs
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