Ani Grubišić

406 citations
29 papers · 215 · h-index 8

Impact in

    • Online Learning and Analytics
    • Open Education and E-Learning
    • Intelligent Tutoring Systems and Adaptive Learning
    • Semantic Web and Ontologies
    • Topic Modeling
    • Natural Language Processing Techniques

Papers in

Ani Grubišić

25 papers receiving 191 citations

Peers

Ani Grubišić
Comparison fields: 5 of 39
  • Computer Science Applications 109
  • Artificial Intelligence 155
  • Developmental and Educational Psychology 54
  • Information Systems 63
  • Education 34
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Arham Muslim Germany
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Jill-Jênn Vie France
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Ghader Kurdi Saudi Arabia
Suresh Kumar Sanampudi India
David Boulanger Canada
Mercedes Gómez-Albarrán Spain
José P. González-Brenes United States
Patrick Ocheja Japan
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Citations per field
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Citations per year

Countries citing papers authored by Ani Grubišić

Since Specialization
Citations

This map shows the geographic impact of Ani Grubišić'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 Ani Grubišić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ani Grubišić more than expected).

Fields of papers citing papers by Ani Grubišić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ani Grubišić. 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 Ani Grubišić. The network helps show where Ani Grubišić may publish in the future.

Co-authors

The 8 scholars most cited alongside Ani Grubišić, 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 Ani Grubišić Line = papers co-authored together Ani Grubišić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200746
2 200833
3 201323
4 202017
5 200915
6 201311
7 20198
8 20237
9 20207
10 20217
11 20166
12
EVEDIN : A System for Automatic Evaluation of Educational Influence
20075
13
An approach to automatic evaluation of educational influence
20065
14 20205
15 20244
16
Ontology as a Foundation for Knowledge Evaluation in Intelligent E-learning Systems
20053
17
E-Learning Paradigm & Intelligent Tutoring Systems
20043
18 20242
19 20172
20
Adaptive courseware model for intelligent e- learning systems
20151

About Ani Grubišić

Ani Grubišić is a scholar working on Artificial Intelligence, Computer Science Applications, Information Systems, Developmental and Educational Psychology and Education, having authored 29 papers that have together received 215 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (20 papers), Online Learning and Analytics (11 papers), Educational Technology and Assessment (5 papers), Online and Blended Learning (3 papers), AI-based Problem Solving and Planning (3 papers), Semantic Web and Ontologies (3 papers), Natural Language Processing Techniques (3 papers) and Innovative Teaching and Learning Methods (3 papers). The work is most often cited by research in Computer Science Applications (109 citations), Artificial Intelligence (155 citations), Developmental and Educational Psychology (54 citations), Information Systems (63 citations) and Education (34 citations). Ani Grubišić has collaborated with scholars based in Croatia, Bosnia and Herzegovina and United States. Frequent co-authors include Slavomir Stankov, Marko Rosić, Ljiljana Šerić, Timothy J. Robinson, Maja Štula, Arta Dodaj, Andrina Granić and Vlado Glavinić. Their work appears in journals such as Expert Systems with Applications, Computers & Education, User Modeling and User-Adapted Interaction, Technology Knowledge and Learning and International Journal of Information and Learning Technology.

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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