Nikola Kadoić
- Computer Science Applications top 5%
- Management Science and Operations Research top 10%
- Information Systems top 10%
- Education
- Artificial Intelligence
- Co-authors
- Nina Begičević ReđepBlaženka DivjakDijana OreškiDiana ŠimićKatarina Tomičić-PupekNeven VrčekWim Van PetegemNati Cabrera Lanzo
- Topics
- Online Learning and Analytics (10 papers)Multi-Criteria Decision Making (6 papers)Big Data and Business Intelligence (5 papers)
- Cited by
- Computer Science ApplicationsManagement Science and Operations ResearchManagement Information Systems
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Environmental Research and Public HealthSustainability
In The Last Decade
Nikola Kadoić
38 papers receiving 285 citations
Peers
Comparison fields: 5 of 81
- Computer Science Applications 66
- Management Science and Operations Research 60
- Information Systems 53
- Education 52
- Artificial Intelligence 43
Countries citing papers authored by Nikola Kadoić
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
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 of co-authors of Nikola Kadoić
This figure shows the co-authorship network connecting the top 25 collaborators of Nikola Kadoić. A scholar is included among the top collaborators of Nikola Kadoić 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 Nikola Kadoić. Nikola Kadoić is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 0 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 10 | |
| 11 | 10 | |
| 12 | 3 | |
| 13 | 5 | |
| 14 | 27 | |
| 15 | 1 | |
| 16 | Qualitative Multiple Criteria Models with Cycles: A Preliminary Study with Method DEX | 2 |
| 17 | Citizen Participation in Decision Making Processes in Croatian Local Government Units | 4 |
| 18 | 31 | |
| 19 | 4 | |
| 20 | Theory of Microcrediting in Transitional Economies | 1 |
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) and Big Data and Business Intelligence (5 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.