Kai Gutenschwager

464 citations
15 papers · 223 indexed · h-index 7
Topics
Advanced Manufacturing and Logistics Optimization (4 papers)Transportation and Mobility Innovations (3 papers)Flexible and Reconfigurable Manufacturing Systems (3 papers)
Partner nations
GermanyCanadaFrance

In The Last Decade

Kai Gutenschwager

15 papers receiving 217 citations

Peers

Kai Gutenschwager
Comparison fields: 5 of 44
  • Industrial and Manufacturing Engineering 155
  • Management Information Systems 31
  • Building and Construction 31
  • Automotive Engineering 27
  • Computer Networks and Communications 24
Replace Thérèse Bonte with:
Thérèse Bonte France
Ting-Hsuan Chien Taiwan
Eric M. Malstrom United States
Aljoscha Gruler Spain
Juri Tolujew Germany
Rami Musa United States
Corina Pop Sitar Romania
Vahid Mahmoodian United States
Rémy Dupas France
Chia-Ho Chen Taiwan
Kai Gutenschwager relative to Thérèse Bonte France Thérèse Bonte's profile →
Citations per field
00.5×1.5×1.9×
Thérèse Bonte · 1×
Citations per year

Countries citing papers authored by Kai Gutenschwager

Since Specialization
Citations

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

Fields of papers citing papers by Kai Gutenschwager

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kai Gutenschwager

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

All Works

15 of 15 papers shown
#WorkIndexed citations
1 6
2
Visualizing “Cognitive Fingerprints” from Simple Mobile Game Play
1
3 1
4 1
5 2
6 1
7 54
8 8
9 17
10 64
11 16
12 5
13 8
14 5
15
Simulation-based Optimization in the Automotive Industry - A Case Study on Body Shop Design
34

About Kai Gutenschwager

Kai Gutenschwager is a scholar working on Industrial and Manufacturing Engineering, Transportation and Automotive Engineering, having authored 15 papers that have together received 223 indexed citations. Recurring topics across this work include Advanced Manufacturing and Logistics Optimization (4 papers), Transportation and Mobility Innovations (3 papers) and Flexible and Reconfigurable Manufacturing Systems (3 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (155 citations), Management Information Systems (31 citations) and Transportation (18 citations). Kai Gutenschwager has collaborated with scholars based in Germany, Canada and France. Frequent co-authors include Sven Spieckermann, Stefan Voß, Markus Rabe, Sigrid Wenzel, Georg Zeller, Marcia Friesen and R.D. McLeod. Their work appears in journals such as International Journal of Production Research, Transportation Science and Algorithms.

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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