Countries citing papers authored by Peter Gluchowski
Since
Specialization
Citations
This map shows the geographic impact of Peter Gluchowski'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 Peter Gluchowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Gluchowski more than expected).
Fields of papers citing papers by Peter Gluchowski
This network shows the impact of papers produced by Peter Gluchowski. 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 Peter Gluchowski. The network helps show where Peter Gluchowski may publish in the future.
Co-authorship network of co-authors of Peter Gluchowski
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Gluchowski.
A scholar is included among the top collaborators of Peter Gluchowski 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 Peter Gluchowski. Peter Gluchowski is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
20 of 20 papers shown
1.
Gluchowski, Peter, et al.. (2017). Data Governance – Einordnung, Konzepte und aktuelle Herausforderungen. Econstor (Econstor).1 indexed citations
Dinter, Barbara, et al.. (2015). A Stakeholder Lens on Metadata Management in Business Intelligence and Big Data – Results of an Empirical Investigation. Journal of the Association for Information Systems.9 indexed citations
4.
Dinter, Barbara, et al.. (2015). Metadatenmanagement in der Business Intelligence - eine empirische Untersuchung unter Berücksichtigung der Stakeholder-Perspektiven. WIRTSCHAFTSINFORMATIK. 660–674.1 indexed citations
5.
Dinter, Barbara, et al.. (2011). Towards a Life Cycle Oriented Business Intelligence Success Model. Journal of the Association for Information Systems.14 indexed citations
6.
Gluchowski, Peter, et al.. (2011). TOWARDS A CONSOLIDATED RESEARCH MODEL FOR UNDERSTANDING BUSINESS INTELLIGENCE SUCCESS. Journal of the Association for Information Systems. 205.13 indexed citations
Gluchowski, Peter, et al.. (2010). Computer-Aided Warehouse Engineering (CAWE): Leveraging MDA and ADM for the Development of Data Warehouses. Journal of the Association for Information Systems. 45(35). 282–4.5 indexed citations
9.
Gluchowski, Peter, et al.. (2010). A Business Intelligence Perspective on the Future Internet. Americas Conference on Information Systems. 267.9 indexed citations
10.
Scholz, Patrick, et al.. (2010). Benefits and Challenges of Business Intelligence Adoption in Small and Medium-Sized Enterprises. Journal of the Association for Information Systems. 32.27 indexed citations
Chamoni, Peter, et al.. (2005). Business Information Warehouse: Perspektiven betrieblicher Informationsversorgung und Entscheidungsunterstützung auf der Basis von SAP-Systemen (SAP Kompetent). Springer eBooks.
Gluchowski, Peter. (2001). Business Intelligence: Konzepte, Technologien und Einsatzbereiche.. Praxis Der Wirtschaftsinformatik. 222.12 indexed citations
Gabriel, Roland & Peter Gluchowski. (1998). Grafische Notationen für die semantische Modellierung multidimensionaler Datenstrukturen in Management Support Systemen.. WIRTSCHAFTSINFORMATIK. 40(6). 493–502.7 indexed citations
18.
Gabriel, Roland & Peter Gluchowski. (1997). Semantische Modellierungstechniken für multidimensionale Datenstrukturen.. Praxis Der Wirtschaftsinformatik. 195.3 indexed citations
19.
Gluchowski, Peter. (1997). Data Warehouse - Das aktuelle Schlagwort.. Informatik-Spektrum. 20. 48–49.2 indexed citations
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incomplete records, variations in author disambiguation, differences in journal indexing, and
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Rankless may not fully capture the entirety of a scholar's output or impact.