User Modelling and User-Adapted Interaction
H-Index - Analysis · Trend · Prediction · Ranking
H-Index
2020-2021
74.0
One-click to visualize your research performance

One-click to visualize your research performance

One-click to visualize your research performance

One-click to visualize your research performance

H-Index History
Year | H-Index |
---|---|
Year | H-Index |
2017 | 65 |
2018 | 69.0 |
2019 | 74.0 |
Related Journals
Popular Journals
User Modelling and User-Adapted Interaction
The 2020-2021 H-Index of User Modelling and User-Adapted Interaction is 74.0, which is just updated in 2021.
What is H-Index?
The H-index is an author-level metric that measures both the productivity and citation impact of the publications of a scientist or scholar. The h-index correlates with obvious success indicators such as winning the Nobel Prize, being accepted for research fellowships and holding positions at top universities.The index is based on the set of the scientist's most cited papers and the number of citations that they have received in other publications. The index can also be applied to the productivity and impact of a scholarly journal as well as a group of scientists, such as a department or university or country. The index was suggested in 2005 by Jorge E. Hirsch, a physicist at UC San Diego, as a tool for determining theoretical physicists' relative quality and is sometimes called the Hirsch index or Hirsch number.The h-index is defined as the maximum value of h such that the given author/journal has published h papers that have each been cited at least h times. The index is designed to improve upon simpler measures such as the total number of citations or publications. The index works best when comparing scholars working in the same field, since citation conventions differ widely among different fields.
Journal Ranking
Subcategory | Quartile | Rank | Percentile |
---|---|---|---|
Education | Q1 | 5/1319 |
Education 99% |
Computer Science Applications | Q1 | 43/693 |
Computer Science Applications 93% |
Human-Computer Interaction | Q1 | 10/120 |
Human-Computer Interaction 92% |
· In the Education research field, the Quartile of User Modelling and User-Adapted Interaction is Q1. User Modelling and User-Adapted Interaction has been ranked #5 over 1319 related journals in the Education research category. The ranking percentile of User Modelling and User-Adapted Interaction is around 99% in the field of Education.
User Modelling and User-Adapted Interaction Key Factor Analysis
· In the Computer Science Applications research field, the Quartile of User Modelling and User-Adapted Interaction is Q1. User Modelling and User-Adapted Interaction has been ranked #43 over 693 related journals in the Computer Science Applications research category. The ranking percentile of User Modelling and User-Adapted Interaction is around 93% in the field of Computer Science Applications.
User Modelling and User-Adapted Interaction Key Factor Analysis
· In the Human-Computer Interaction research field, the Quartile of User Modelling and User-Adapted Interaction is Q1. User Modelling and User-Adapted Interaction has been ranked #10 over 120 related journals in the Human-Computer Interaction research category. The ranking percentile of User Modelling and User-Adapted Interaction is around 92% in the field of Human-Computer Interaction.
User Modelling and User-Adapted Interaction Key Factor Analysis
International Collaboration Trend
Cited Documents Trend
About
User Modeling and User-Adapted Interaction provides an interdisciplinary forum for the dissemination of novel and significant original research results about interactive computer systems that can adapt themselves to their users, and on the design, use, and evaluation of user models for adaptation. The journal publishes high-quality original papers from, e.g., the following areas: acquisition and formal representation of user models; conceptual models and user stereotypes for personalization; student modeling and adaptive learning; models of groups of users; user model driven personalised information discovery and retrieval; recommender systems; adaptive user interfaces and agents; adaptation for accessibility and inclusion; generic user modeling systems and tools; interoperability of user models; personalization in areas such as; affective computing; ubiquitous and mobile computing; language based interactions; multi-modal interactions; virtual and augmented reality; social media and the Web; human-robot interaction; behaviour change interventions; personalized applications in specific domains; privacy, accountability, and security of information for personalization; responsible adaptation: fairness, accountability, explainability, transparency and control; methods for the design and evaluation of user models and adaptive systems