Tobias Pentek

3.0k citations
3 papers · 1.9k indexed · 1 hit paper · h-index 3
Topics
Data Quality and Management (2 papers)Big Data and Business Intelligence (1 paper)Big Data Technologies and Applications (1 paper)
Journals
Journal of the Association for Information SystemsPublikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)Arrow@dit (Dublin Institute of Technology)
Partner nations
GermanySwitzerland

In The Last Decade

Tobias Pentek

3 papers receiving 1.7k citations

Hit Papers

Design Principles for Industrie 4.0 Scenarios2016202620192022201650010001.5k

Peers

Tobias Pentek
Comparison fields: 5 of 118
  • Industrial and Manufacturing Engineering 1.2k
  • Management Information Systems 368
  • Strategy and Management 246
  • Information Systems 237
  • Management of Technology and Innovation 207
Replace Ercan Öztemel with:
Ercan Öztemel Türkiye
Yongxin Liao Brazil
Antonio Padovano Italy
Samet GÜRSEV Türkiye
Reiner Anderl Germany
Heiner Lasi Germany
Nikolaos Papakostas Greece
Botond Kádár Hungary
J. A. Harding United Kingdom
Tobias Pentek relative to Ercan Öztemel Türkiye Ercan Öztemel's profile →
Citations per field
00.5×5.6×
Ercan Öztemel · 1×
Citations per year

Countries citing papers authored by Tobias Pentek

Since Specialization
Citations

This map shows the geographic impact of Tobias Pentek'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 Tobias Pentek with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tobias Pentek more than expected).

Fields of papers citing papers by Tobias Pentek

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tobias Pentek. 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 Tobias Pentek. The network helps show where Tobias Pentek may publish in the future.

Co-authorship network of co-authors of Tobias Pentek

This figure shows the co-authorship network connecting the top 25 collaborators of Tobias Pentek. A scholar is included among the top collaborators of Tobias Pentek 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 Tobias Pentek. Tobias Pentek is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

3 of 3 papers shown
#WorkIndexed citations
1 29
2 6
3
Design Principles for Industrie 4.0 Scenariosbreakdown →
1819

About Tobias Pentek

Tobias Pentek is a scholar working on Management Information Systems, Management Science and Operations Research and Information Systems and Management, having authored 3 papers that have together received 1.9k indexed citations. Recurring topics across this work include Data Quality and Management (2 papers), Big Data and Business Intelligence (1 paper) and Big Data Technologies and Applications (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (1.2k citations), Management Information Systems (368 citations) and Management of Technology and Innovation (207 citations). Tobias Pentek has collaborated with scholars based in Germany and Switzerland. Frequent co-authors include Boris Otto and Christine Legner. Their work appears in journals such as Journal of the Association for Information Systems, Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) and Arrow@dit (Dublin Institute of Technology).

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.

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