| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 806 | 8 | 10 | 6 |
Journal of Location Based Services was organized to reinforce research efforts on Location-based service, Artificial intelligence, World Wide Web, Human–computer interaction and Real-time computing. It facilitates discussions on Location-based service that incorporate concepts from other fields like Computer security, Knowledge management, Mobile device and Internet privacy. The Artificial intelligence works featured in it incorporate elements from Data mining, Computer vision, Machine learning, Pedestrian navigation and Pattern recognition.
Journal of Location Based Services dives deep in exploring the relationship between the study of Data mining and Global Positioning System. The journal explores studies in Global Positioning System as part of the wider topic of Telecommunications. The presented studies in User-generated content and Social media fall within the purview of World Wide Web but it also intertwines with topics in Context (language use).
Topics in Human–computer interaction were tackled in line with various other fields like Visualization, Multimedia and Mobile computing. It investigates Multimedia research which frequently intersects with User experience design. Real-time computing research featured in Journal of Location Based Services incorporates concerns from various other topics such as Wireless, Hybrid positioning system, Simulation and Embedded system.
The most cited articles mainly tackle studies in Location-based service, Mobile device, Computer security, Neogeography and Context (language use). The Location-based service research tackled in the journal papers is interrelated with Multimedia which concerns subjects like Intelligent transportation system and Data science. The most cited publications tackle studies in Real-time computing and the interrelated subject of Bayesian probability, Motion detector and Scalability to gain insights into Mobile device.
The journal focuses largely on the fields of Location-based service, Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), 2019-20 coronavirus outbreak, Information retrieval and Contact tracing. Aside from Location-based service, it also covered works in the field of Content analysis. The journal features works in Information retrieval, more specifically Recommender system, and explores their relation to disciplines like Voronoi diagram and Trajectory.
The studies in Cloud computing featured incorporate elements of Bluetooth and World Wide Web. The Bluetooth study featured in Journal of Location Based Services draws connections with the study of Artificial intelligence. Social media are all disciplines of World Wide Web that connect with topics in Crowd sourcing.
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 Location Based Services (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 Location Based Services (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, 7.14% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 23.08% were posted by at least one author from the top 10 institutions publishing in the journal. Another 7.69% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 38.46% of all publications and 30.77% 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.
A pertinent section that could add depth to the article would be how research in location-based services might impact fields like Special Education. Special Education is often a beneficiary of advances in fields like artificial intelligence, world wide web, and human-computer interaction, which the Journal of Location Based Services extensivelly explores. Technological tools have been increasingly applied to aid teaching strategies and improve learning outcomes for students with disabilities.
For example, location-based services could potentially improve disabled individuals' independence, with advances in GPS technologies helping visually-impaired children navigate their environment. Machine learning could be used for behavioral analysis to optimize learning paths for students with cognitive impairments. And human-computer interactions could be instrumental in creating intuitive learning interfaces and aids for children with physical disabilities.
You can explore these developments in the realm of education more and learn about the proper qualifications needed for those who would like to aid in this valuable process. If you are interested, you can look into how to become a special education teacher in illinois. This will give you an idea of the qualifications required to engage in this meaningful work.
Additional research could also be carried out to identify the impact and implications of location-based services and related technologies in improving special education, focusing on real life applications, case studies and breakthrough technological advancements. This could form the basis of an invaluable contribution to the Journal of Location Based Services.
Fahad Alhomayani;Mohammad H. Mahoor
(2020)Ieva Dobraja;Menno-Jan Kraak
(2020)Radu Mariescu-Istodor;Pasi Fränti
(2020)Radu Mariescu-Istodor;Pasi Fränti
(2021)Goshtasb Shahriari-Mehr;Mahmoud Reza Delavar;Christophe Claramunt;Babak Nadjar Araabi
(2021)Oleksii Vedernikov;Lars Kulik;Kotagiri Ramamohanarao
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