Published by: ACM
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 627 | 17 | 22 | 9 |
The objective of the journal is to combine knowledge in the areas of Data science, Geographic information system, World Wide Web, Geospatial analysis and Data mining. The research on Data science tackled can also make contributions to studies in the areas of Spatial analysis, Knowledge extraction, Social media, Field (geography) and Big data. The subject of Remote sensors, which is connected to the field of Big spatial data, serves as the foundation of the Big data research featured in it.
While the journal focused on Geographic information system, it was also able to explore topics like Telecommunications and Library science. The Library science study featured in the journal draws connections with the study of Operations research. It explores topics in World Wide Web which can be helpful for research in disciplines like Volunteered geographic information, Internet privacy and Visualization.
The journal connects the study in Geospatial analysis with the closely related area of Event (computing). In Sigspatial Special, Probabilistic logic and Trajectory are investigated in conjunction with one another to address concerns in Data mining research. Sigspatial Special facilitated discussions that integrated Original research and Special Interest Group.
The published articles focus on World Wide Web, Internet privacy, Location-based service, Social media and Coronavirus disease 2019 (COVID-19). The most cited articles explore research in Data science and overlapping concepts in Local information systems and Class (computer programming) to expand the discourse in Social media. The published Coronavirus disease 2019 (COVID-19) research zeroes in on concepts in Pandemic and Social distance but also tackles themes under County level.
The main points discussed in the journal deals with Data science, Geospatial analysis, Event (computing), Geographic information system and Spatial analysis. Among the topics covered in it are Data science and Realm. In addition to Geospatial analysis research, Sigspatial Special aims to explore topics under Technological change, World Wide Web and Constraint (mathematics).
While the primary focus in the journal is Event (computing), it also dissects topics surrounding Resilience (network) and Process management as a whole. Studies on Geographic information system discussed in it link to the field of Library science. Sigspatial Special facilitates the exploration of Coronavirus disease 2019 (COVID-19) in relation to the other disciplines, such as Analytics and Big data.
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 Sigspatial Special (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 Sigspatial Special (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, 61.54% were posted by at least one author from the top 10 institutions publishing in the journal. Another 15.38% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 15.38% of all publications and 7.69% 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.
For scholars inspired by the research topics and publications featured in Sigspatial Special Journal, contributing to this esteemed platform can be the next big step in your professional career. Whether you're a budding researcher in data science or an established expert in geospatial analysis, your unique insights are highly valued. Anyone desiring to polish their writing and contribute to Sigspatial Special must adhere to the standard submission process. This involves choosing a relevant topic, conducting rigorous research, crafting the manuscript, and complying with the journal's formatting guidelines before submission. The requirements might sound daunting, especially for beginners. However, good groundwork and dedication to your topic of choice can make the process smoother. In this light, we encourage potential contributors to continue honing their skills and deepening their knowledge. For instance, if you're keen on educational topics, learning about teaching approaches in different locations, such as how to be an English teacher in Hawaii, can contribute to your overall career advancement. Remember, the path to publication in esteemed journals like Sigspatial Special is often a journey; it requires patience, learning, and continuous improvement. Ensuring your research aligns with Sigspatial Special's focus areas, and diligently adhering to their submission guidelines, increases your chances for a successful publication.
Li Xiong;Cyrus Shahabi;Yanan Da;Ritesh Ahuja
(2020)Song Gao;Jinmeng Rao;Yuhao Kang;Yunlei Liang
(2020)Umair Qazi;Muhammad Imran;Ferda Ofli
(2020)Mohamed Mokbel;Sofiane Abbar;Rade Stanojevic
(2020)Joon-Seok Kim;Hamdi Kavak;Chris Ovi Rouly;Hyunjee Jin
(2020)Zipei Fan;Xuan Song;Yinghao Liu;Zhiwen Zhang
(2020)Pursuing a Computer Science degree online offers flexibility and accessibility, but it's essential to consider factors such as affordability, speed, and potential salary outcomes. Many students prioritize finding affordable online colleges to minimize debt while gaining quality education from reputable institutions.
Moreover, selecting programs from free application online colleges can reduce upfront costs and simplify the admission process. For those eager to enter the workforce quickly, fast track college degree options provide an accelerated path to earning credentials without compromising quality.
Finally, it’s wise to research how your chosen field ranks among the most profitable majors. Computer Science consistently ranks high, making it a promising career pathway with excellent salary potential. Balancing cost, speed, and earning prospects is key to making informed decisions about online Computer Science education and career growth.
