Andrea Kő
Impact in
- Health Informatics top 10%
-
- Big Data and Business Intelligence
- Quality and Supply Management
Papers in
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- Big Data and Business Intelligence 6
- Information Technology Governance and Strategy 4
- Co-authors
- Asefeh Asemi (15 shared papers)Ariel Zoltán Mitev (2 shared papers)Saira Gillani (2 shared papers)Krisztina Demeter (2 shared papers)Enrico Francesconi (4 shared papers)Botond Kádár (2 shared papers)Adeleh Asemi (5 shared papers)Renata Gabryelczyk (2 shared papers)
In The Last Decade
Andrea Kő
56 papers receiving 468 citations
Peers
Comparison fields: 5 of 90
- Health Informatics 19
- Management Information Systems 101
- Industrial and Manufacturing Engineering 91
- Management of Technology and Innovation 35
- Information Systems 107
Countries citing papers authored by Andrea Kő
This map shows the geographic impact of Andrea Kő'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 Andrea Kő with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrea Kő more than expected).
Fields of papers citing papers by Andrea Kő
This network shows the impact of papers produced by Andrea Kő. 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 Andrea Kő. The network helps show where Andrea Kő may publish in the future.
Co-authors
The 25 scholars most cited alongside Andrea Kő, 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 60 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 103 | |
| 2 | 2021 | 64 | |
| 3 | 2019 | 30 | |
| 4 | 2021 | 26 | |
| 5 | 2020 | 16 | |
| 6 | 2021 | 15 | |
| 7 | 2021 | 15 | |
| 8 | 2019 | 14 | |
| 9 | 2022 | 13 | |
| 10 | 2019 | 13 | |
| 11 | 2018 | 12 | |
| 12 | 2021 | 10 | |
| 13 | 2022 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2022 | 9 | |
| 16 | 2014 | 9 | |
| 17 | 2015 | 8 | |
| 18 | Understanding advances in Web technologies: Evolution from Web 2.0 to WEB 3.0 | 2011 | 8 |
| 19 | 2018 | 6 | |
| 20 | 2023 | 5 |
About Andrea Kő
Andrea Kő is a scholar working on Information Systems, Management Information Systems, Industrial and Manufacturing Engineering, Management Science and Operations Research and Artificial Intelligence, having authored 60 papers that have together received 501 indexed citations. Recurring topics across this work include Digital Transformation in Industry (12 papers), Big Data and Business Intelligence (6 papers), Stock Market Forecasting Methods (5 papers), E-Government and Public Services (5 papers), Technology Assessment and Management (5 papers), Technology Adoption and User Behaviour (4 papers), Information Technology Governance and Strategy (4 papers) and Manufacturing Process and Optimization (3 papers). The work is most often cited by research in Health Informatics (19 citations), Management Information Systems (101 citations), Industrial and Manufacturing Engineering (91 citations), Management of Technology and Innovation (35 citations) and Information Systems (107 citations). Andrea Kő has collaborated with scholars based in Hungary, Malaysia and Austria. Frequent co-authors include Asefeh Asemi, Ariel Zoltán Mitev, Saira Gillani, Krisztina Demeter, Enrico Francesconi, Botond Kádár, Adeleh Asemi, Renata Gabryelczyk, Mark Staples and Luciano García‐Bañuelos. Their work appears in journals such as Journal Of Big Data, Library Hi Tech, Journal of the Association for Information Systems, Big Data and International Journal of Lean Six Sigma.
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.