Marko Ranković
- Computer Science Applications top 5%
- Artificial Intelligence top 10%
- Information Systems top 10%
- Health Informatics top 2%
- Education
- Co-authors
- Milena IlićValentin KuletoDan PăunOliva MartinsLarisa MihoreanuRocsana Bucea-Manea-ȚonişSlobodan Babić
- Topics
- Big Data and Business Intelligence (1 paper)COVID-19 and Mental Health (1 paper)Online Learning and Analytics (1 paper)
- Journals
- SHILAP Revista de lepidopterologíaSustainabilityBaltic Journal of Economics
In The Last Decade
Marko Ranković
18 papers receiving 353 citations
Hit Papers
Peers
Comparison fields: 5 of 77
- Computer Science Applications 119
- Artificial Intelligence 100
- Information Systems 94
- Health Informatics 58
- Education 56
Countries citing papers authored by Marko Ranković
This map shows the geographic impact of Marko Ranković'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 Ranković with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marko Ranković more than expected).
Fields of papers citing papers by Marko Ranković
This network shows the impact of papers produced by Marko Ranković. 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 Ranković. The network helps show where Marko Ranković may publish in the future.
Co-authorship network of co-authors of Marko Ranković
This figure shows the co-authorship network connecting the top 25 collaborators of Marko Ranković. A scholar is included among the top collaborators of Marko Ranković 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 Marko Ranković. Marko Ranković is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 14 | |
| 3 | 23 | |
| 4 | 55 | |
| 5 | Exploring Opportunities and Challenges of Artificial Intelligence and Machine Learning in Higher Education Institutionsbreakdown → | 258 |
| 6 | 17 | |
| 7 | 1 | |
| 8 | 2 | |
| 9 | 5 | |
| 10 | 1 | |
| 11 | 1 | |
| 12 | 1 | |
| 13 | 1 | |
| 14 | Kanali distribucije u savremenom bankarstvu | 2 |
| 15 | Application of Batch and Automated (STP) Processes inBanking – Case Study Aseba BI | 2 |
| 16 | Impact of inflation on the macroeconomic indicators in transition economies | 1 |
| 17 | Quantitative website analysis: Case study of the Serbian banks | 1 |
| 18 | 3 |
About Marko Ranković
Marko Ranković is a scholar working on Life-span and Life-course Studies, Health Informatics and Management of Technology and Innovation, having authored 18 papers that have together received 392 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (1 paper), COVID-19 and Mental Health (1 paper) and Online Learning and Analytics (1 paper). The work is most often cited by research in Health Informatics (58 citations), Computer Science Applications (119 citations) and Information Systems and Management (31 citations). Marko Ranković has collaborated with scholars based in Serbia, Romania and Portugal. Frequent co-authors include Milena Ilić, Valentin Kuleto, Dan Păun, Oliva Martins, Larisa Mihoreanu, Rocsana Bucea-Manea-Țoniş and Slobodan Babić. Their work appears in journals such as SHILAP Revista de lepidopterología, Sustainability and Baltic Journal of Economics.
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.