Submission Deadline: Sunday 29 Jan 2023
Conference Dates: May 23, 2023 - May 26, 2023
Impact Score 2.00
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The concepts of Knowledge management, Software engineering, Information system, Process (engineering) and Context (language use) are tackled in the conference. The work on Knowledge management addressed in the conference expands to the thematically related Process management. The studies on Process management discussed can also contribute to research in the domains of Artifact-centric business process model and Business process modeling.
Artifact-centric business process model research discussed connects with the study of Business process discovery. Research Challenges in Information Science tackles studies in Business rule and the interrelated subject of Business Process Model and Notation to gain insights into Business process modeling. The concepts on Software engineering presented in Research Challenges in Information Science can also apply to other research fields, including Software, Requirements engineering, Software development, Unified Modeling Language and Systems engineering.
The event explores research in Requirements engineering and the adjacent study of Requirements analysis. The study on Information system presented in the conference intersects with subjects under the field of Data science. Research Challenges in Information Science covers Business process management research under the subject of Business process.
Knowledge management, Software engineering, Information system, Process management and Business process are the main subjects of interest in the most cited articles. The conference articles explore issues in Software engineering which can be linked to other research areas like Requirements traceability, Enterprise architecture and Systems engineering. The most cited articles facilitate discussions on Information system that incorporate concepts from other fields like Domain (software engineering), Unified Modeling Language, Correctness, Risk analysis (engineering) and Data science.
The main research concerns discussed in the conference are Computer security, World Wide Web, Context (language use), Knowledge management and Data mining. Research Challenges in Information Science discusses concepts in Mobile Web and The Internet under World Wide Web and how they intertwine with disciplines like Electronic mail. Topics in Context (language use) were tackled in line with various other fields like User interface, Software system, Industrial control system, Usability and Information system.
While the primary focus in the event is Knowledge management, it also dissects topics surrounding Process management and Artifact-centric business process model, Business process modeling and Systems development life cycle as a whole. The studies in Data mining featured incorporate elements of Ontology (information science), Information retrieval, Linked data and RDF. Business Process Model and Notation research presented in it encompasses a variety of subjects, including Software engineering and Adaptation (computer science).
A key indicator for each conference 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 at Research Challenges in Information Science (based on the number of publications) are:
The overall trend for top authors publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top authors.
Only papers with recognized affiliations are considered
The top affiliations publishing at Research Challenges in Information Science (based on the number of publications) are:
The overall trend for top affiliations publishing at this conference is outlined below. The chart shows the number of publications at each edition of the conference for top affiliations.
The publication chance index shows the ratio of articles published by the best research institutions at the conference edition to all articles published within that conference. The best research institutions were selected based on the largest number of articles published during all editions of the conference.
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 2017 edition, 3.51% of publications had an unrecognized affiliation. Out of the publications with recognized affiliations, 43.64% were posted by at least one author from the top 10 institutions publishing at the conference. Another 1.82% included authors affiliated with research institutions from the top 11-20 affiliations. Institutions from the 21-50 range included 14.55% of all publications and 40.00% were from other institutions.
A very common phenomenon observed among researchers publishing scientific articles is the intentional selection of conferences they have already attended in the past. In particular, it is worth analyzing the case when the authors participate in the same conference 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 conference 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 at a conference. The index includes the authors publishing at the last edition of a conference, 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.
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17th International Conference on Research Challenges in Information Science
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