Maria Boura
- Management Information Systems top 0.5%
- Strategy and Management top 2%
- Management Science and Operations Research top 2%
- Industrial and Manufacturing Engineering top 5%
- Information Systems and Management top 2%
- Co-authors
- George LekakosJohn KrogstiePatrick MikalefSpyros LioukasDimitris A. TsouknidisPeter FlemingStelios C. Zyglidopoulos
- Topics
- Big Data and Business Intelligence (4 papers)Corruption and Economic Development (2 papers)Competitive and Knowledge Intelligence (2 papers)
- Cited by
- Management Information SystemsStrategy and ManagementManagement Science and Operations Research
In The Last Decade
Maria Boura
8 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 69
- Management Information Systems 762
- Strategy and Management 574
- Management Science and Operations Research 290
- Industrial and Manufacturing Engineering 159
- Information Systems and Management 158
Countries citing papers authored by Maria Boura
This map shows the geographic impact of Maria Boura'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 Maria Boura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Boura more than expected).
Fields of papers citing papers by Maria Boura
This network shows the impact of papers produced by Maria Boura. 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 Maria Boura. The network helps show where Maria Boura may publish in the future.
Co-authorship network of co-authors of Maria Boura
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Boura. A scholar is included among the top collaborators of Maria Boura 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 Maria Boura. Maria Boura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 20 | |
| 2 | 24 | |
| 3 | 170 | |
| 4 | Configurations of Big Data Analytics for Firm Performance: An fsQCA approach | 4 |
| 5 | Big Data Analytics Capabilities and Innovation: The Mediating Role of Dynamic Capabilities and Moderating Effect of the Environmentbreakdown → | 538 |
| 6 | Big data analytics and firm performance: Findings from a mixed-method approachbreakdown → | 440 |
| 7 | COMPLEMENTARITIES BETWEEN INFORMATION GOVERNANCE AND BIG DATA ANALYTICS CAPABILITIES ON INNOVATION | 9 |
| 8 | 1 |
About Maria Boura
Maria Boura is a scholar working on Management Information Systems, Strategy and Management and Management Science and Operations Research, having authored 8 papers that have together received 1.2k indexed citations. Recurring topics across this work include Big Data and Business Intelligence (4 papers), Corruption and Economic Development (2 papers) and Competitive and Knowledge Intelligence (2 papers). The work is most often cited by research in Management Information Systems (762 citations), Strategy and Management (574 citations) and Management Science and Operations Research (290 citations). Maria Boura has collaborated with scholars based in Greece, Norway and Australia. Frequent co-authors include George Lekakos, John Krogstie, Patrick Mikalef, Spyros Lioukas, Dimitris A. Tsouknidis, Peter Fleming and Stelios C. Zyglidopoulos. Their work appears in journals such as Journal of Business Research, Information & Management and Journal of the Association for Information 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.