Remote Sensing Applications: Society and Environment

Top Research Topics at Remote Sensing Applications: Society and Environment?

Remote sensing, Land cover, Vegetation, Land use and Normalized Difference Vegetation Index are the subjects of interest in Remote Sensing Applications: Society and Environment. Issues in Remote sensing were discussed, taking into consideration concepts from other disciplines like Random forest and Scale (map). In Remote Sensing Applications: Society and Environment, researchers investigate the Random forest study as part of research in the field of Artificial intelligence.

Hydrology, Watershed, Deforestation, Urbanization and Forestry are some topics wherein Land cover research discussed in the journal have an impact. It connects research in Hydrology with the related topic of Structural basin. The journal focused on Vegetation research but expanded to cover Ecosystem.

Topics in Land use explored in the journal were investigated in conjunction with research in Agriculture and Environmental resource management. The study on Normalized Difference Vegetation Index presented is investigated in conjunction with research in Physical geography. Discussions in Remote Sensing Applications: Society and Environment are anchored in the subject of Physical geography and the similar topic of Urban heat island.

• Remote sensing (21.84%)
• Land cover (21.52%)
• Vegetation (17.64%)

What are the most cited papers published in the journal?

• Landslide mapping and monitoring by using radar and optical remote sensing: examples from the EC-FP7 project SAFER (83 citations)
• Mapping woody vegetation clearing in Queensland, Australia from Landsat imagery using the Google Earth Engine (78 citations)
• Application of Cellular automata and Markov-chain model in geospatial environmental modeling- A review (68 citations)

Research areas of the most cited articles at Remote Sensing Applications: Society and Environment:

The most cited publications primarily tackle Land cover, Hydrology, Land use, Remote sensing and Remote sensing (archaeology). While Land cover is the focus of the most cited articles, it also provides insights into the studies of Watershed, Deforestation, Urbanization, Forestry and Vegetation. Issues in Hydrology were discussed in the most cited publications, taking into consideration concepts from other disciplines like Structural basin, Normalized Difference Vegetation Index and Topographic Wetness Index.

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.

Top authors and change over time

The top authors publishing in Remote Sensing Applications: Society and Environment (based on the number of publications) are:

• Carlos Antonio da Silva Junior (10 papers) published 4 papers at the last edition, 1 less than at the previous edition,
• Paulo Eduardo Teodoro (10 papers) published 3 papers at the last edition, 3 less than at the previous edition,
• Timothy Dube (7 papers) absent at the last edition,
• Onisimo Mutanga (7 papers) published 1 paper at the last edition, 1 less than at the previous edition,
• Sudhir Kumar Singh (7 papers) published 1 paper at the last edition, 1 less than at the previous 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.

Top affiliations and change over time

Only papers with recognized affiliations are considered

The top affiliations publishing in Remote Sensing Applications: Society and Environment (based on the number of publications) are:

• University of KwaZulu-Natal (16 papers) published 4 papers at the last edition, 1 less than at the previous edition,
• Indian Space Research Organisation (12 papers) published 4 papers at the last edition, 1 more than at the previous edition,
• National Institute for Space Research (12 papers) published 4 papers at the last edition, 2 more than at the previous edition,
• Sao Paulo State University (12 papers) published 5 papers at the last edition, 3 more than at the previous edition,
• University of Gour Banga (11 papers) published 2 papers at the last edition, 3 less than at the previous 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, 13.11% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 16.20% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.61% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 12.29% of all publications and 60.89% 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.