Maria Fay
- Management Information Systems top 5%
- Strategy and Management top 10%
- Management Science and Operations Research top 5%
- Economics and Econometrics
- Information Systems and Management top 10%
- Co-authors
- Oliver MüllerJan vom BrockeNikolai Kazantsev
- Topics
- Big Data and Business Intelligence (2 papers)Digital Platforms and Economics (1 paper)Forecasting Techniques and Applications (1 paper)
- Cited by
- Management Information SystemsStrategy and ManagementManagement Science and Operations Research
- Journals
- Journal of Management Information SystemsJournal of the Association for Information SystemsIT University Of Copenhagen (IT University of Copenhagen)
- Partner nations
- LiechtensteinDenmark
In The Last Decade
Maria Fay
3 papers receiving 333 citations
Hit Papers
Peers
Comparison fields: 5 of 54
- Management Information Systems 227
- Strategy and Management 130
- Management Science and Operations Research 105
- Economics and Econometrics 62
- Information Systems and Management 49
Countries citing papers authored by Maria Fay
This map shows the geographic impact of Maria Fay'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 Fay with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Fay more than expected).
Fields of papers citing papers by Maria Fay
This network shows the impact of papers produced by Maria Fay. 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 Fay. The network helps show where Maria Fay may publish in the future.
Co-authorship network of co-authors of Maria Fay
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Fay. A scholar is included among the top collaborators of Maria Fay 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 Fay. Maria Fay is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | When Smart Gets Smarter: How Big Data Analytics Creates Business Value in Smart Manufacturing | 7 |
| 2 | The Effect of Big Data and Analytics on Firm Performance: An Econometric Analysis Considering Industry Characteristicsbreakdown → | 344 |
| 3 | Disentangling the Relationship Between the Adoption of In-Memory Computing and Firm Performance | 1 |
About Maria Fay
Maria Fay is a scholar working on Management Information Systems, Management Science and Operations Research and Strategy and Management, having authored 3 papers that have together received 352 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (2 papers), Digital Platforms and Economics (1 paper) and Forecasting Techniques and Applications (1 paper). The work is most often cited by research in Management Information Systems (227 citations), Strategy and Management (130 citations) and Management Science and Operations Research (105 citations). Maria Fay has collaborated with scholars based in Liechtenstein and Denmark. Frequent co-authors include Oliver Müller, Jan vom Brocke, Nikolai Kazantsev and Jan vom Brocke. Their work appears in journals such as Journal of Management Information Systems, Journal of the Association for Information Systems and IT University Of Copenhagen (IT University of Copenhagen).
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.