Martin Kowalczyk
- Management Information Systems top 5%
- Information Systems top 10%
- Strategy and Management
- Management Science and Operations Research
- Artificial Intelligence
- Co-authors
- Peter BuxmannJürgen MünchJin GerlachVictor R. BasiliJens HeidrichDieter RombachAdam TrendowiczCarolyn Seaman
- Topics
- Big Data and Business Intelligence (7 papers)Competitive and Knowledge Intelligence (3 papers)Data Quality and Management (2 papers)
In The Last Decade
Martin Kowalczyk
10 papers receiving 213 citations
Peers
Comparison fields: 5 of 50
- Management Information Systems 147
- Information Systems 91
- Strategy and Management 54
- Management Science and Operations Research 38
- Artificial Intelligence 29
Countries citing papers authored by Martin Kowalczyk
This map shows the geographic impact of Martin Kowalczyk'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 Martin Kowalczyk with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Kowalczyk more than expected).
Fields of papers citing papers by Martin Kowalczyk
This network shows the impact of papers produced by Martin Kowalczyk. 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 Martin Kowalczyk. The network helps show where Martin Kowalczyk may publish in the future.
Co-authorship network of co-authors of Martin Kowalczyk
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Kowalczyk. A scholar is included among the top collaborators of Martin Kowalczyk 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 Martin Kowalczyk. Martin Kowalczyk is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 3 | |
| 3 | The Support of Decision Processes with Business Intelligence and Analytics: Insights on the Roles of Ambidexterity, Information Processing and Advice | 0 |
| 4 | 45 | |
| 5 | 5 | |
| 6 | Aligning Organizations Through Measurement: The GQM+Strategies Approach | 4 |
| 7 | 36 | |
| 8 | 58 | |
| 9 | 47 | |
| 10 | 1 | |
| 11 | 10 |
About Martin Kowalczyk
Martin Kowalczyk is a scholar working on Management Information Systems, Management of Technology and Innovation and Strategy and Management, having authored 11 papers that have together received 226 indexed citations. Recurring topics across this work include Big Data and Business Intelligence (7 papers), Competitive and Knowledge Intelligence (3 papers) and Data Quality and Management (2 papers). The work is most often cited by research in Management Information Systems (147 citations), Information Systems (91 citations) and Strategy and Management (54 citations). Martin Kowalczyk has collaborated with scholars based in Germany, Japan and Finland. Frequent co-authors include Peter Buxmann, Jürgen Münch, Jin Gerlach, Victor R. Basili, Jens Heidrich, Dieter Rombach, Adam Trendowicz, Carolyn Seaman, T. Kaneko and Yuko Miyamoto. Their work appears in journals such as Decision Support Systems, The Journal of Strategic Information Systems and Business & Information Systems Engineering.
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.