Daniel Kerpen

442 citations
13 papers · 170 · h-index 5

Impact in

Papers in

Daniel Kerpen

11 papers receiving 164 citations

Peers

Daniel Kerpen
Comparison fields: 5 of 46
  • Computer Networks and Communications 99
  • Industrial and Manufacturing Engineering 29
  • Information Systems 63
  • Artificial Intelligence 47
  • Human-Computer Interaction 8
Replace Mohamed Mhiri with:
Mohamed Mhiri Tunisia
Frédérique Biennier France
Dave Raggett United States
Michele Piunti Italy
Abdelrahman H. Hussein Jordan
Lubna Luxmi Dhirani Ireland
Rajiv Kumar India
Mercedes Amor Spain
Mohammed Amine Bouras China
Remous-Aris Koutsiamanis France
Daniel Kerpen relative to Mohamed Mhiri Tunisia Mohamed Mhiri's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Kerpen

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Kerpen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 11 scholars most cited alongside Daniel Kerpen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Daniel Kerpen Line = papers co-authored together Daniel Kerpen links everyone, so they are left out of the graph.

All Works

13 of 13 papers shown
#Work
1 2015129
2 201617
3 20167
4 20166
5
Influence of human factors on cognitive textile production
20154
6 20171
7 20161
8
Anforderungskatalog für Assistenzsysteme 4.0 an Textilmaschinen am Beispiel einer Webmaschine
20161
9 20171
10 20191
11
Intelligent assistance systems for industrial textile work environments
20161
12 20201
13 20210

About Daniel Kerpen

Daniel Kerpen is a scholar working on Management of Technology and Innovation, Sociology and Political Science, Industrial and Manufacturing Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence, having authored 13 papers that have together received 170 indexed citations. Recurring topics across this work include Digital Innovation in Industries (3 papers), Innovation, Technology, and Society (2 papers), Digital Transformation in Industry (2 papers), Privacy, Security, and Data Protection (2 papers), Design Education and Practice (1 paper), Advanced Malware Detection Techniques (1 paper), Virtual Reality Applications and Impacts (1 paper) and Augmented Reality Applications (1 paper). The work is most often cited by research in Computer Networks and Communications (99 citations), Industrial and Manufacturing Engineering (29 citations), Information Systems (63 citations), Artificial Intelligence (47 citations) and Human-Computer Interaction (8 citations). Daniel Kerpen has collaborated with scholars based in Germany and United States. Frequent co-authors include Martin Henze, Roger Häußling, Bernhard Rumpe⋆, Klaus Wehrle, Yves-Simon Gloy, Dieter Wallach, Christian Stüble, Thomas Gries, Jan Conrad and Jens Hiller. Their work appears in journals such as Future Generation Computer Systems, EDULEARN proceedings, RWTH Publications (RWTH Aachen), Proceedings of the Design Society DESIGN Conference and RWTH Publications (RWTH Aachen).

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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