Nikola Kadoić

468 citations
47 papers · 303 indexed · h-index 10

Nikola Kadoić

38 papers receiving 285 citations

Peers

Nikola Kadoić
Comparison fields: 5 of 81
  • Computer Science Applications 66
  • Management Science and Operations Research 60
  • Management Information Systems 34
  • Information Systems and Management 18
  • Information Systems 53
Replace Nina Begičević Ređep with:
Nina Begičević Ređep Croatia
Natércia Durão Portugal
Ceyhun Ozgur United States
Amir Mehdiabadi Iran
Sabine Madsen Denmark
Javier López Gijón Spain
Anita Mirijamdotter Sweden
Sussy Bayona-Oré Peru
Julian M. Scher United States
Fefie Dotsika United Kingdom
Nikola Kadoić relative to Nina Begičević Ređep Croatia Nina Begičević Ređep's profile →
Citations per field
00.5×1.5×2.4×
Nina Begičević Ređep · 1×
Citations per year

Countries citing papers authored by Nikola Kadoić

Since Specialization
Citations

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

Fields of papers citing papers by Nikola Kadoić

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 11 scholars most cited alongside Nikola Kadoić, 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 Nikola Kadoić Line = papers co-authored together Nikola Kadoić links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20252
2 20240
3 20240
4 20241
5 20241
6 20240
7 20231
8 20231
9 20221
10 202110
11 201910
12 20193
13 20185
14 201827
15 20171
16
Qualitative Multiple Criteria Models with Cycles: A Preliminary Study with Method DEX
20172
17
Citizen Participation in Decision Making Processes in Croatian Local Government Units
20174
18 201731
19 20164
20
Theory of Microcrediting in Transitional Economies
20091

About Nikola Kadoić

Nikola Kadoić is a scholar working on Computer Science Applications, Management Science and Operations Research and Management Information Systems, having authored 47 papers that have together received 303 indexed citations. Recurring topics across this work include Online Learning and Analytics (10 papers), Multi-Criteria Decision Making (6 papers), Big Data and Business Intelligence (5 papers), Cognitive Science and Mapping (5 papers), Online and Blended Learning (4 papers), E-Learning and Knowledge Management (4 papers), Complex Systems and Decision Making (3 papers) and Technology Adoption and User Behaviour (3 papers). The work is most often cited by research in Computer Science Applications (66 citations), Management Science and Operations Research (60 citations) and Management Information Systems (34 citations). Nikola Kadoić has collaborated with scholars based in Croatia, Spain and Germany. Frequent co-authors include Nina Begičević Ređep, Blaženka Divjak, Dijana Oreški, Diana Šimić, Katarina Tomičić-Pupek, Neven Vrček, Wim Van Petegem, Nati Cabrera Lanzo, Bart Rienties and Igor Pihir. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Environmental Research and Public Health and Sustainability.

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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