Asma Ounnas

472 citations
9 papers · 343 · h-index 8

Impact in

Papers in

Asma Ounnas

9 papers receiving 305 citations

Peers

Asma Ounnas
Comparison fields: 5 of 45
  • Computer Science Applications 105
  • Developmental and Educational Psychology 147
  • Communication 72
  • Education 112
  • Information Systems 83
Replace Nils Malzahn with:
Nils Malzahn Germany
Giovanni Fulantelli Italy
Christophe Reffay France
Kirsi Silius Finland
Frank Linton United States
Éric Bruillard France
Zhong Sun China
Kerstin Borau China
Luigi Sarti Italy
Yuen-Yan Chan Hong Kong
Asma Ounnas relative to Nils Malzahn Germany Nils Malzahn's profile →
Citations per field
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Nils Malzahn · 1×
Citations per year

Countries citing papers authored by Asma Ounnas

Since Specialization
Citations

This map shows the geographic impact of Asma Ounnas's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Asma Ounnas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asma Ounnas more than expected).

Fields of papers citing papers by Asma Ounnas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Asma Ounnas. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Asma Ounnas. The network helps show where Asma Ounnas may publish in the future.

Co-authors

The 7 scholars most cited alongside Asma Ounnas, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Asma Ounnas Line = papers co-authored together Asma Ounnas links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 2007129
2
A Framework for Semantic Group Formation in Education
200949
3 200743
4 200840
5 200725
6 200721
7
Towards a Semantic Modeling of Learners for Social Networks
200618
8
Semantic Modeling for Group Formation
200713
9
Semantic Web-based Group Formation for E-learning
20085

About Asma Ounnas

Asma Ounnas is a scholar working on Artificial Intelligence, Developmental and Educational Psychology, Communication, Sociology and Political Science and Information Systems, having authored 9 papers that have together received 343 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (5 papers), Semantic Web and Ontologies (4 papers), Logic, Reasoning, and Knowledge (3 papers), Multi-Agent Systems and Negotiation (3 papers), Online and Blended Learning (2 papers), Impact of Technology on Adolescents (2 papers), Constraint Satisfaction and Optimization (1 paper) and Intelligent Tutoring Systems and Adaptive Learning (1 paper). The work is most often cited by research in Computer Science Applications (105 citations), Developmental and Educational Psychology (147 citations), Communication (72 citations), Education (112 citations) and Information Systems (83 citations). Asma Ounnas has collaborated with scholars based in United Kingdom, United States and Finland. Frequent co-authors include Hugh Davis, David E. Millard, Ilaria Liccardi, Päivi Kinnunen, Sarah Lewthwaite, Chandan Kumar Sarkar and David E. Millard. Their work appears in journals such as Educational Technology & Society, ACM SIGCSE Bulletin and ePrints Soton (University of Southampton).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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