Published by: MDPI
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 204 | 116 | 198 | 26 |
| Environmental Sciences | 220 | 72 | 96 | 23 |
| Engineering and Technology | 446 | 45 | 64 | 18 |
ISPRS international journal of geo-information investigates areas of study like Artificial intelligence, Data mining, Geospatial analysis, Remote sensing and Geographic information system. ISPRS international journal of geo-information holds forums on Artificial intelligence that merges themes from other disciplines such as Machine learning, Computer vision and Pattern recognition. The research on Data mining tackled can also make contributions to studies in the areas of Spatial analysis and Cluster analysis.
ISPRS international journal of geo-information investigates Geospatial analysis research which frequently intersects with Data science. In particular, the Remote sensing works presented emphasize discussions on Remote sensing (archaeology).
The most cited papers are organized to address concerns in the fields of Data mining, Remote sensing, Cartography, Data science and Artificial intelligence. The featured Cartography studies in the journal articles mainly concentrate on Land use but also cover areas of interest in Environmental resource management. While work presented in the published papers provide substantial information on Data science, it also covers topics in Context (language use), Social media, Geospatial analysis and Geographic information system.
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 ISPRS international journal of geo-information (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 ISPRS international journal of geo-information (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, 94.02% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 35.71% were posted by at least one author from the top 10 institutions publishing in the journal. Another 9.52% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 16.67% of all publications and 38.10% 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.
While academic and research pursuits in the field of geo-information can be incredibly fulfilling, it's important to note that these advancements can also lead to promising career opportunities. For instance, knowledge in topics like artificial intelligence, data mining, and geospatial analysis are highly applicable in several fields including education. In particular, a career as preschool teacher assistant focusing on geospatial concepts and tools can be a rewarding choice. By integrating geographic information system and remote sensing knowledge into early education, you can help shape a generation of students who are technologically-astute and environmentally-aware educators. If you are looking to pursue this career line in Idaho, understanding the potential remuneration can be beneficial. A guide to becoming a preschool teacher assistant in Idaho, including details on the average preschool teacher assistant salary in Idaho, can provide you with the insights you need to make informed career decisions. It's always useful to understand the financial prospects in your chosen field, and this resource will provide valuable details to help you plan your career trajectory.
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(2021)Biswajit Nath;Zhihua Wang;Yong Ge;Kamrul Islam
(2020)Francesca Matrone;Eleonora Grilli;Massimo Martini;Marina Paolanti
(2020)José Lucas Safanelli;Raúl R. Poppiel;Luis Fernando Chimelo Ruiz;Benito Roberto Bonfatti
(2020)Jianwei Huang;Mei Po Kwan;Zihan Kan;Man Sing Wong
(2020)Anqi Wang;Anshu Zhang;Edwin H. W. Chan;Wenzhong Shi
(2020)Zhen Ye;Yusheng Xu;Rong Huang;Xiaohua Tong
(2020)Viet-Ha Nhu;Himan Shahabi;Ebrahim Nohani;Ataollah Shirzadi
(2020)Faming Huang;Jiawu Chen;Zhen Du;Chi Yao
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