| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Environmental Sciences | 467 | 23 | 39 | 11 |
The journal explores disciplines such as Remote sensing, Remote sensing (archaeology), Hydrology, Artificial intelligence and Land use. While work presented in Journal of The Indian Society of Remote Sensing provided substantial information on Remote sensing, it also covered topics in Cartography, Terrain, Satellite and Vegetation, Normalized Difference Vegetation Index. The research on Hydrology discussed in Journal of The Indian Society of Remote Sensing draws on the closely related field of Structural basin.
Topics in Artificial intelligence were tackled in line with various other fields like Computer vision and Pattern recognition. The majority of Land use studies presented zero in on Land cover. Journal of The Indian Society of Remote Sensing dives deep in exploring the relationship between the study of Groundwater and Lineament.
The journal papers are mainly concerned with subjects like Hydrology, Remote sensing, Remote sensing (archaeology), Land cover and Groundwater. The Hydrology research tackled in the most cited publications is interrelated with Structural basin which concerns subjects like Glacier and Monsoon. The journal publications address concerns in Remote sensing which are intertwined with other disciplines, such as Pixel, Vegetation and Extraction (military).
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 The Indian Society 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 Journal of The Indian Society 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, 9.05% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 43.13% were posted by at least one author from the top 10 institutions publishing in the journal. Another 8.06% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 9.95% of all publications and 38.86% 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.
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(2022)Haifeng Tian;Haifeng Tian;Yaochen Qin;Zheng Niu;Li Wang
(2021)Rabin Chakrabortty;Subodh Chandra Pal;Indrajit Chowdhuri;Sadhan Malik
(2020)Mehmet Cetin;Balca Agacsapan;Saye Nihan Cabuk;Muzeyyen Anıl Senyel Kurkcuoglu
(2021)Murali Krishna Gumma;M. D. M. Kadiyala;Pranay Panjala;Shibendu S. Ray
(2021)Shahidul Islam;Yuechen Li;Mingguo Ma;Anxu Chen
(2021)Utkarsh Kumar;Bhabagrahi Sahoo;Chandranath Chatterjee;Narendra Singh Raghuwanshi
(2020)Raaj Ramsankaran;P. J. Navinkumar;Ajay Dashora;Anil V. Kulkarni
(2021)Utkarsh Kumar;Ankur Srivastava;Nikul Kumari;Rashmi
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