Marko Rosić

403 citations
41 papers · 313 · h-index 10

Impact in

Papers in

Marko Rosić

39 papers receiving 286 citations

Peers

Marko Rosić
Comparison fields: 5 of 52
  • Computer Science Applications 142
  • Developmental and Educational Psychology 75
  • Artificial Intelligence 163
  • Information Systems 89
  • Software 8
Replace Raja Sooriamurthi with:
Raja Sooriamurthi United States
Slavomir Stankov Croatia
Galina Deeva Belgium
Samiha Marwan United States
Andrew Tran United States
Mercedes Gómez-Albarrán Spain
Félix Castro Spain
Ad Aerts Netherlands
André Mayers Canada
Barbara Demo Italy
Marko Rosić relative to Raja Sooriamurthi United States Raja Sooriamurthi's profile →
Citations per field
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Raja Sooriamurthi · 1×
Citations per year

Countries citing papers authored by Marko Rosić

Since Specialization
Citations

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

Fields of papers citing papers by Marko Rosić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Marko Rosić, 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 Marko Rosić Line = papers co-authored together Marko Rosić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200758
2 200839
3 201526
4 201618
5 202016
6 200916
7 201012
8
On Knowledge Representation in an Intelligent Tutoring System
200011
9 202111
10 200710
11 20227
12 20087
13 20037
14 20056
15 20026
16 20086
17
Intelligent authoring shell based on Web services
20045
18 20215
19
Teaching Basic Programming Skills to Undergraduate Students
20145
20 20064

About Marko Rosić

Marko Rosić is a scholar working on Artificial Intelligence, Computer Science Applications, Computer Networks and Communications, Information Systems and Ocean Engineering, having authored 41 papers that have together received 313 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (18 papers), Semantic Web and Ontologies (7 papers), Multi-Agent Systems and Negotiation (7 papers), Teaching and Learning Programming (6 papers), Maritime Navigation and Safety (5 papers), Mobile Agent-Based Network Management (5 papers), Online Learning and Analytics (5 papers) and Service-Oriented Architecture and Web Services (4 papers). The work is most often cited by research in Computer Science Applications (142 citations), Developmental and Educational Psychology (75 citations), Artificial Intelligence (163 citations), Information Systems (89 citations) and Software (8 citations). Marko Rosić has collaborated with scholars based in Croatia, Bosnia and Herzegovina and United States. Frequent co-authors include Slavomir Stankov, Vlado Glavinić, Ani Grubišić, Saša Mladenović and Andrina Granić. Their work appears in journals such as Electronics, Computers & Education, Expert Systems with Applications, International Journal of Technology Enhanced Learning and Tehnicki vjesnik - Technical Gazette.

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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