Vladimír Gazda
- Economics and Econometrics top 10%
- Accounting top 10%
- Artificial Intelligence
- Computer Networks and Communications
- General Economics, Econometrics and Finance top 10%
- Co-authors
- Peter DrotárJuraj GazdaDenis HorváthGabriel BugárTaras MaksymyukPeter MalegaMischa DöhlerMadhusanka Liyanage
- Topics
- Experimental Behavioral Economics Studies (4 papers)Game Theory and Applications (4 papers)Complex Systems and Time Series Analysis (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaJournal of Business ResearchIEEE Access
In The Last Decade
Vladimír Gazda
25 papers receiving 260 citations
Peers
Comparison fields: 5 of 59
- Economics and Econometrics 96
- Accounting 78
- Artificial Intelligence 55
- Computer Networks and Communications 39
- General Economics, Econometrics and Finance 39
Countries citing papers authored by Vladimír Gazda
This map shows the geographic impact of Vladimír Gazda'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 Vladimír Gazda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Vladimír Gazda more than expected).
Fields of papers citing papers by Vladimír Gazda
This network shows the impact of papers produced by Vladimír Gazda. 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 Vladimír Gazda. The network helps show where Vladimír Gazda may publish in the future.
Co-authorship network of co-authors of Vladimír Gazda
This figure shows the co-authorship network connecting the top 25 collaborators of Vladimír Gazda. A scholar is included among the top collaborators of Vladimír Gazda 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 Vladimír Gazda. Vladimír Gazda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 37 | |
| 2 | 15 | |
| 3 | 6 | |
| 4 | 4 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 67 | |
| 8 | 0 | |
| 9 | 3 | |
| 10 | 7 | |
| 11 | 3 | |
| 12 | Asymmetric impact of public debt on economic growth in selected EU countries | 7 |
| 13 | 6 | |
| 14 | ARDL investment model of Tunisia | 11 |
| 15 | 0 | |
| 16 | 12 | |
| 17 | TRUST AND TRUSTWORTHINESS AS A BEHAVIOURAL SOCIAL NORM | 1 |
| 18 | Reflection Effect Under Different Risk Attitudes | 1 |
| 19 | P-Star Model under the Currency Board – The Case of Bulgaria 1997-2008 | 1 |
| 20 | The Relationship between Export and Economic Growth in Libya Arab Jamahiriya | 44 |
About Vladimír Gazda
Vladimír Gazda is a scholar working on Finance, General Decision Sciences and Safety Research, having authored 28 papers that have together received 283 indexed citations. Recurring topics across this work include Experimental Behavioral Economics Studies (4 papers), Game Theory and Applications (4 papers) and Complex Systems and Time Series Analysis (4 papers). The work is most often cited by research in Accounting (78 citations), General Economics, Econometrics and Finance (39 citations) and Economics and Econometrics (96 citations). Vladimír Gazda has collaborated with scholars based in Slovakia, Ukraine and Austria. Frequent co-authors include Peter Drotár, Juraj Gazda, Denis Horváth, Gabriel Bugár, Taras Maksymyuk, Peter Malega, Mischa Döhler, Madhusanka Liyanage, Matúš Kubák and Július Horváth. Their work appears in journals such as SHILAP Revista de lepidopterología, Journal of Business Research and IEEE Access.
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.