| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 194 | 64 | 118 | 27 |
| Social Sciences and Humanities | 194 | 16 | 27 | 16 |
The journal facilitates discussions on Data mining, Artificial intelligence, Spatial analysis, Cartography and Geographic information system. While work presented in International Journal of Geographical Information Science provided substantial information on Artificial intelligence, it also covered topics in Machine learning, Computer vision and Pattern recognition.
The journal papers cover a variety of subjects, including Data mining, Artificial intelligence, Information system, Spatial analysis and Data science. While the most cited publications focused on Data mining, they were also able to explore topics like Land use, Artificial neural network, Fuzzy set, Fuzzy logic and Object (computer science). The published papers address concerns in Data science which are intertwined with other disciplines, such as Context (language use), Geospatial analysis and Geographic information system.
The main research concerns discussed in International Journal of Geographical Information Science are Artificial intelligence, Data mining, Cartography, Pattern recognition and Data science. Machine learning and Computer vision are some topics wherein Artificial intelligence research discussed in the journal have an impact. The study on Data mining presented in International Journal of Geographical Information Science intersects with the topics under Trajectory.
The Pattern recognition study featured in International Journal of Geographical Information Science draws parallels with the field of Cluster analysis.
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 International Journal of Geographical Information Science (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 International Journal of Geographical Information Science (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, 17.83% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 38.76% were posted by at least one author from the top 10 institutions publishing in the journal. Another 13.18% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 10.08% of all publications and 37.98% 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.
Graduating from a program in Geographical Information Science unlocks a plethora of opportunities in various professional fields. Some of the roles that graduates could pursue include a Geographic Information Systems Analyst, Data Scientist, Database Administrator, Statistician, and even a private school teacher focusing on Geography or related subjects. These careers all leverage the core knowledge obtained in a GIS course such as Data mining, Spatial analysis, and Artificial intelligence.
For example, a career as a private school teacher would entail using your extensive understanding of the subjects such as Data mining, Spatial Analysis and Artificial intelligence to teach students and inspire future GIS professionals. Learn more about the private school teacher requirements in West Virginia.
Regardless of the specific career path chosen, Geographical Information Science provides a solid foundation of technological and analytical skills that can be utilized across various industries.
Krzysztof Janowicz;Song Gao;Grant McKenzie;Yingjie Hu
(2020)Xiaohua Tong;Yongjiu Feng
(2020)Di Zhu;Di Zhu;Ximeng Cheng;Fan Zhang;Fan Zhang;Xin Yao
(2020)Wenwen Li;Michael Batty;Michael F. Goodchild
(2020)Ziqi Li;A. Stewart Fotheringham
(2020)Xiongfeng Yan;Tinghua Ai;Min Yang;Xiaohua Tong
(2021)Nora Fagerholm;Christopher M. Raymond;Anton Stahl Olafsson;Gregory Brown
(2021)Chaowei Yang;Keith C. Clarke;Shashi Shekhar;C. Vincent Tao
(2020)Yingwei Yan;Chen-Chieh Feng;Wei Huang;Hongchao Fan
(2020)Exploring related online degrees is a smart way to build your expertise in Computer Science while maintaining flexibility. Many students opt for easy masters degrees online that balance rigor with manageable coursework, allowing them to advance without overwhelming schedules.
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