| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 325 | 55 | 86 | 18 |
| Environmental Sciences | 519 | 21 | 30 | 9 |
| Earth Science | 536 | 6 | 8 | 5 |
| Social Sciences and Humanities | 621 | 13 | 26 | 8 |
The journal investigates studies in Data mining, Artificial intelligence, Data science, Geographic information system and Geospatial analysis. The study on Data mining presented in the journal intersects with the topics under Spatial analysis. While it focused on Artificial intelligence, it was also able to explore topics like Machine learning, Computer vision and Pattern recognition.
It focused on Geospatial analysis research but expanded to cover Database.
The main points discussed in the published papers deal with Data mining, Data science, Information retrieval, Geographic information system and World Wide Web. The published papers deal with Data mining in conjunction with Spatial analysis and similar fields in Artificial intelligence. The studies on Information retrieval discussed at the most cited articles can also contribute to research in the domains of Similarity (psychology) and Geospatial analysis.
The discussions in the journal mainly cover the fields of Artificial intelligence, Pattern recognition, Cartography, Data science and Digital elevation model. Artificial intelligence and Computer vision are closely related fields of research discussed in it. The Digital elevation model research discussed is included in the broader subject of Remote sensing.
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 Transactions in Gis (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 Transactions in Gis (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, 1.20% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 24.24% were posted by at least one author from the top 10 institutions publishing in the journal. Another 10.91% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.15% of all publications and 49.70% 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.
In the field of Geospatial analysis and related studies underlying GIS, there is a substantial opportunity for researchers and professionals to contribute advancements and innovations. These contributions are not limited to academic circles and published articles but extend to various applied areas such as education, urban planning, environmental science, and more. Particularly, there is a growing demand for educators with a sound understanding of these subjects to teach the upcoming generation. For those interested in transforming their expertise into a teaching career, obtaining a teaching credential becomes a vital step. However, the financial aspect can often be a deterrent. For professionals and researchers based in Wyoming, we have compiled resources on the most cost-effective ways to earn a teaching certification within the state. For more information, please visit our guide on the [cheapest way to get a teaching credential in Wyoming](https://research.com/careers/cheapest-way-to-get-a-teaching-credential-in-wyoming). Whether you are a novice, competent, experienced professional, or a recognized star in your area of study, teaching could proffer an excellent path for professional development and personal fulfillment. Combining your research prowess with teaching skills might just be the career progression you seek in the landscape of GIS studies and Geospatial analysis.
Ling Cai;Krzysztof Janowicz;Gengchen Mai;Bo Yan
(2020)Unknown
(2022)Gengchen Mai;Krzysztof Janowicz;Ling Cai;Rui Zhu
(2020)Ivan Franch-Pardo;Michael R. Desjardins;Isabel Barea-Navarro;Artemi Cerdà
(2021)Shize Gong;Yong Gao;Fan Zhang;Lan Mu
(2021)David O'Sullivan;Mark Gahegan;Daniel J. Exeter;Benjamin Adams
(2020)Francesca Noardo;Thomas Krijnen;Ken Arroyo Ohori;Filip Biljecki
(2021)Hassan Abedi Gheshlaghi;Bakhtiar Feizizadeh;Thomas Blaschke;Tobia Lakes
(2021)Yunlei Liang;Song Gao;Yuxin Cai;Natasha Zhang Foutz
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