Marija Čubrić
- Information Systems top 5%
- Artificial Intelligence
- Management Information Systems top 10%
- Computer Science Applications top 5%
- Education top 10%
- Topics
- Innovative Teaching and Learning Methods (8 papers)Open Education and E-Learning (6 papers)Wikis in Education and Collaboration (6 papers)
- Partner nations
- United KingdomSerbiaUnited States
In The Last Decade
Marija Čubrić
21 papers receiving 432 citations
Hit Papers
Peers
Comparison fields: 5 of 80
- Information Systems 111
- Artificial Intelligence 86
- Management Information Systems 68
- Computer Science Applications 67
- Education 63
Countries citing papers authored by Marija Čubrić
This map shows the geographic impact of Marija Čubrić'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 Marija Čubrić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marija Čubrić more than expected).
Fields of papers citing papers by Marija Čubrić
This network shows the impact of papers produced by Marija Čubrić. 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 Marija Čubrić. The network helps show where Marija Čubrić may publish in the future.
Co-authorship network of co-authors of Marija Čubrić
This figure shows the co-authorship network connecting the top 25 collaborators of Marija Čubrić. A scholar is included among the top collaborators of Marija Čubrić based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Marija Čubrić. Marija Čubrić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 19 | |
| 3 | 59 | |
| 4 | Drivers, barriers and social considerations for AI adoption in business and management: A tertiary studybreakdown → | 206 |
| 5 | 2 | |
| 6 | 15 | |
| 7 | Planning for Success in Introducing and Embedding Technology to Enhance Learning | 0 |
| 8 | 34 | |
| 9 | Evaluating Electronic Voting Systems (EEVS) : Final report for JISC Assessment and Feedback Programme, Strand B | 2 |
| 10 | What is the innovation beyond the 'state of the art' in e-learning? | 1 |
| 11 | Towards automatic generation of e-assessment using semantic web technologies | 34 |
| 12 | Wiki-supported collaborative learning | 2 |
| 13 | 3 | |
| 14 | SeMCQ – Protégé Plugin for Automatic Ontology-Driven Multiple Choice Question Tests Generation | 10 |
| 15 | Scaling up wiki-based blended learning environment | 0 |
| 16 | A Semantic Web Framework for Generating Collaborative E-learning Environments | 2 |
| 17 | 5 | |
| 18 | 46 | |
| 19 | Simple e-learning semantic tool | 2 |
| 20 | Good practice in using wikis to enhance learning, student support and retention for business students | 2 |
About Marija Čubrić
Marija Čubrić is a scholar working on Computer Science Applications, Communication and Health Informatics, having authored 23 papers that have together received 471 indexed citations. Recurring topics across this work include Innovative Teaching and Learning Methods (8 papers), Open Education and E-Learning (6 papers) and Wikis in Education and Collaboration (6 papers). The work is most often cited by research in Health Informatics (27 citations), Computer Science Applications (67 citations) and Management Information Systems (68 citations). Marija Čubrić has collaborated with scholars based in United Kingdom, Serbia and United States. Frequent co-authors include Feng Li, Xiaohui Shi, Reda Lebcir, Rifat Atun, Tetiana Hill, Kevin Robins, Saturnino Luz, Marcus Banks and Mariana Lilley. Their work appears in journals such as Computers & Education, Technological Forecasting and Social Change and Technovation.
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.