Marek Nagy
Impact in
-
- Digital Transformation in Industry
-
- Economic and Technological Systems Analysis
Papers in
-
- Impact of AI and Big Data on Business and Society 9
-
- Economic and Business Development Strategies 4
- Insurance and Financial Risk Management 2
- Co-authors
- Katarína Valášková (20 shared papers)George Lăzăroiu (6 shared papers)G Grecu (1 shared paper)Tomáš Klieštik (1 shared paper)Katarína Zvaríková (3 shared papers)Pavol Ďurana (1 shared paper)Gheorghe H. Popescu (2 shared papers)Jakub Horák (2 shared papers)
In The Last Decade
Marek Nagy
21 papers receiving 358 citations
Peers
Comparison fields: 5 of 92
- Industrial and Manufacturing Engineering 76
- Management of Technology and Innovation 52
- Management Science and Operations Research 85
- Health Informatics 7
- Management Information Systems 46
Countries citing papers authored by Marek Nagy
This map shows the geographic impact of Marek Nagy'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 Marek Nagy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marek Nagy more than expected).
Fields of papers citing papers by Marek Nagy
This network shows the impact of papers produced by Marek Nagy. 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 Marek Nagy. The network helps show where Marek Nagy may publish in the future.
Co-authors
The 25 scholars most cited alongside Marek Nagy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 69 | |
| 2 | 2024 | 54 | |
| 3 | 2022 | 50 | |
| 4 | 2022 | 50 | |
| 5 | 2024 | 28 | |
| 6 | 2023 | 23 | |
| 7 | 2024 | 19 | |
| 8 | 2025 | 17 | |
| 9 | 2022 | 14 | |
| 10 | 2024 | 12 | |
| 11 | 2023 | 7 | |
| 12 | 2024 | 5 | |
| 13 | 2022 | 5 | |
| 14 | 2024 | 5 | |
| 15 | 2025 | 4 | |
| 16 | 2022 | 2 | |
| 17 | 2024 | 2 | |
| 18 | 2022 | 2 | |
| 19 | 2025 | 2 | |
| 20 | 2025 | 1 |
About Marek Nagy
Marek Nagy is a scholar working on Management Science and Operations Research, Economics and Econometrics, Management, Monitoring, Policy and Law, Industrial and Manufacturing Engineering and Management of Technology and Innovation, having authored 26 papers that have together received 374 indexed citations. Recurring topics across this work include Impact of AI and Big Data on Business and Society (9 papers), Business and Economic Development (8 papers), Digital Transformation in Industry (8 papers), Economic and Technological Systems Analysis (4 papers), Economic and Business Development Strategies (4 papers), Auditing, Earnings Management, Governance (3 papers), Insurance and Financial Risk Management (2 papers) and Environmental Sustainability in Business (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (76 citations), Management of Technology and Innovation (52 citations), Management Science and Operations Research (85 citations), Health Informatics (7 citations) and Management Information Systems (46 citations). Marek Nagy has collaborated with scholars based in Slovakia, Romania and Czechia. Frequent co-authors include Katarína Valášková, George Lăzăroiu, G Grecu, Tomáš Klieštik, Katarína Zvaríková, Pavol Ďurana, Gheorghe H. Popescu, Jakub Horák, Tom Gedeon and Miloš Poliak. Their work appears in journals such as Oeconomia Copernicana, Equilibrium Quarterly Journal of Economics and Economic Policy, Applied Sciences, Mathematics and Systems.
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.