1744-0084
Published by: Emerald Publishing
| Discipline name | Position | Best Scientists | Publications | D-Index |
|---|---|---|---|---|
| Computer Science | 855 | 9 | 11 | 5 |
The journal primarily tackles Information retrieval, World Wide Web, Data mining, Web service and Artificial intelligence. The studies in Information retrieval featured incorporate elements of XML validation, Efficient XML Interchange and Document Structure Description. The overlapping concepts between XML Schema Editor and Streaming XML are the key highlights of Document Structure Description study.
The studies on Streaming XML discussed can also contribute to research in the domains of Database and XML database. The work on World Wide Web addressed in it expands to the thematically related Multimedia. International Journal of Web Information Systems covers various topics on Web service such as WS-Policy and Web application security.
The journal facilitates discussions on Artificial intelligence that incorporate concepts from other fields like Machine learning and Natural language processing. The journal deals with Web modeling in conjunction with Data Web and similar fields in Social Semantic Web. Web query classification research featured in International Journal of Web Information Systems incorporates concerns from various other topics such as Query language, Query expansion and Query optimization.
World Wide Web, Web modeling, Information retrieval, Web service and Context (language use) are the main subjects of interest in the journal publications. The published papers address concerns in World Wide Web which are intertwined with other disciplines, such as Service (systems architecture) and Data science. Deontic logic, Scalability, Data model and CAP theorem are some topics wherein Context (language use) research discussed in the most cited papers has an impact.
Artificial intelligence, Information retrieval, Machine learning, Programming language and Sentiment analysis are among the topics commonly tackled in the journal. While work presented in it provided substantial information on Artificial intelligence, it also covered topics in Web mining and Pattern recognition. International Journal of Web Information Systems holds forums on Information retrieval that merges themes from other disciplines such as Domain (software engineering), Correctness and Strengths and weaknesses.
The research on Programming language tackled can also make contributions to studies in the areas of Database evolution, Self study and RDF. In addition to Sentiment analysis research, the journal aims to explore topics under Sentence and Speech recognition. Some problems in Scalability that were presented in it overlapped with concepts under World Wide Web and Blockchain.
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 Web Information Systems (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 Web Information Systems (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, 93.94% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 100.00% were posted by at least one author from the top 10 institutions publishing in the journal. Another 0.00% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 0.00% of all publications and 0.00% 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.
As the field of Web Information Systems continues to expand, so do the career opportunities for individuals with expertise in areas such as Information Retrieval, Data Mining, and Artificial Intelligence. These highly technical and specialized skills are in demand in various sectors, amongst them academia, technology companies, and even in the field of education.
For instance, individuals who have gained a significant amount of knowledge and experience in the field may choose to educate others by becoming teachers. If you are considering this career path and are located in Minnesota, you may be interested in understanding the specific history teacher requirements in Minnesota. Although being a teacher in a specific subject is a unique career path, the link provides general guidance on how to become a teacher in Minnesota.
Furthermore, professionals in the field of Web Information Systems could pursue and excel in roles such as Systems Analysts, IT Project Managers, Database Administrators and so on. These roles not only offer great growth opportunities but also a chance to have a direct impact on the technological landscape of an organization.
The career opportunities in the field of Web Information Systems are vast and varied. By continuing to refine their skills and stay abreast of developments in the field, professionals in this industry can look forward to a lucrative and fulfilling career.
Sanju Tiwari;Ajith Abraham
(2020)Keita Matsuo;Leonard Barolli
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