| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 452 | 53 | 55 | 13 |
The journal covers a variety of subjects, including Cartography, Data mining, Artificial intelligence, Geographic information system and Data processing. Cartography and Humanities are closely related fields of research discussed in it. While the journal focused on Data mining, it was also able to explore topics like Object (computer science), Spatial analysis, Set (abstract data type) and Geospatial analysis.
The studies in Artificial intelligence featured incorporate elements of Machine learning, Computer vision and Pattern recognition.
The journal articles facilitate discussions on Data mining, Geographic information system, Data processing, Artificial intelligence and Algorithm. The studies on Data mining discussed at the most cited papers can also contribute to research in the domains of Data modeling, Spatial analysis, Information retrieval, Conflation and Data set. While the most cited publications focused on Data processing, they were also able to explore topics like Scalability, Theoretical computer science, Representation (mathematics), Object (computer science) and Simulation.
Multimedia information systems, Artificial intelligence, Trajectory, Data mining and Algorithm are the subjects of interest in Geoinformatica. The work on Multimedia information systems tackled in it brings together disciplines like Internet portal, World Wide Web, Nash equilibrium and Nature inspired algorithm. The research on Artificial intelligence tackled can also make contributions to studies in the areas of Identification (information), Machine learning and Pattern recognition.
It focuses on Trajectory but the discussions also offer insight into other areas such as Representation (mathematics), Process (computing), Similarity (geometry) and Conceptual model. It addresses concerns in Data mining which are intertwined with other disciplines, such as Tropical cyclone, Wind speed, Outlier, Cluster analysis and Series (mathematics). The Algorithm works featured in it incorporate elements from Change detection, Segmentation, Set (abstract data type) and k-nearest neighbors algorithm.
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 Geoinformatica (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 Geoinformatica (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, 5.00% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 13.16% were posted by at least one author from the top 10 institutions publishing in the journal. Another 5.26% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 34.21% of all publications and 47.37% 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.
Another important aspect to consider while learning about Geoinformatics is the plethora of career opportunities it presents. Geoinformatics, being a multidisciplinary field combining geography, information science, and other related fields, offers jobs in various sectors. Some of the common job roles in the field of geoinformatics include Geospatial Analyst, GIS Developer, Cartographer, Remote Sensing Analyst, among others. These jobs require various skills, such as data analysis, programming, research, and problem-solving abilities. If you are considering a career in teaching, you may also look into becoming a professor or lecturer in the field of Geoinformatics. You might wonder, 'how long does it take to become a teacher in Illinois?'. The duration largely depends on the path you choose and the level of education you'd like to teach. It generally takes anywhere between four to six years to become a teacher with a basic degree, and additional time if you wish to pursue a masters or PhD. Keep in mind that the employment outlook for Geoinformatics professionals is positive, with a growing need for experts who can handle, interpret, and analyze geographic data. This need is projected to increase in the future as technological advancements continue to evolve. Regardless of your career goals in geoinformatics, staying updated with the latest research topics by following journals like Geoinformatica can provide valuable insights and enhance your knowledge in the field.
Di Zhu;Yu Liu;Xin Yao;Manfred M. Fischer
(2021)Tianshu Song;Ke Xu;Jiangneng Li;Yiming Li
(2020)Iraklis Varlamis;Ioannis Kontopoulos;Konstantinos Tserpes;Mohammad Etemad
(2021)Yiming Li;Jingzhi Fang;Yuxiang Zeng;Balz Maag
(2020)Gabriele Scalia;Chiara Francalanci;Barbara Pernici
(2021)Xiaozhao Song;Xiaozhao Song;Jiajie Xu;Jiajie Xu;Rui Zhou;Chengfei Liu
(2020)Fan Zhou;Ruiyang Yin;Goce Trajcevski;Kunpeng Zhang
(2021)Liang Zhao;Jiangzhuo Chen;Feng Chen;Fang Jin
(2020)Mohammad Etemad;Amilcar Soares;Elham Etemad;Jordan Rose
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