Patrick Link

18 papers receiving 555 citations

Patrick Link's Hit Papers

A review of machine learning for the optimization of production processes 2019 · 274 citations
2740+2+4Years since publication50100150200250

Peers

Patrick Link
Comparison fields: 5 of 93
  • Industrial and Manufacturing Engineering 166
  • Management of Technology and Innovation 41
  • Strategy and Management 72
  • Management Information Systems 41
  • Mechanical Engineering 145
Replace Tobias Meyer with:
Tobias Meyer Germany
Andrey Igorevich Vlasov Russia
Shubham Kumar Agrawal India
Tsung‐Nan Tsai Taiwan
Ning Mao China
Stefan Braunreuther Germany
Pulak Bandyopadhyay United States
Bhupesh Kumar Lad India
Megan E. McGovern United States
Zhiwen Liu China
Patrick Link relative to Tobias Meyer Germany Tobias Meyer's profile →
Citations per field
00.5×2×3.4×
Tobias Meyer · 1×
Citations per year

Countries citing papers authored by Patrick Link

Since Specialization
Citations

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

Fields of papers citing papers by Patrick Link

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 13 scholars most cited alongside Patrick Link, 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 Patrick Link Line = papers co-authored together Patrick Link links everyone, so they are left out of the graph.

All Works

19 of 19 papers shown
#Work
1
A review of machine learning for the optimization of production processes
Hit paper breakdown →
2019274
2 1999101
3 200241
4 200241
5 200328
6 201427
7 202220
8 200216
9 202416
10 201614
11 20225
12 20195
13 20153
14 20212
15 20031
16 20211
17 20021
18 20211
19 20221

About Patrick Link

Patrick Link is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation, Strategy and Management, Mechanical Engineering and Organizational Behavior and Human Resource Management, having authored 19 papers that have together received 598 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (4 papers), Advanced machining processes and optimization (4 papers), Industrial Vision Systems and Defect Detection (3 papers), Metal Forming Simulation Techniques (2 papers), Electric Motor Design and Analysis (2 papers), Innovation and Knowledge Management (2 papers), Digital Innovation in Industries (2 papers) and Electromagnetic Compatibility and Noise Suppression (2 papers). The work is most often cited by research in Industrial and Manufacturing Engineering (166 citations), Management of Technology and Innovation (41 citations), Strategy and Management (72 citations), Management Information Systems (41 citations) and Mechanical Engineering (145 citations). Patrick Link has collaborated with scholars based in Switzerland, Germany and United States. Frequent co-authors include Steffen Ihlenfeldt, Anke Stoll, Stefan Wrobel, Stefan Rüping, Christian Marxt, John Martin Bentley, Uwe Teicher, Alexander W. Verl, Michael Lewrick and Christian J. Schwarz. Their work appears in journals such as International Journal of Production Economics, The International Journal of Advanced Manufacturing Technology, Robotics and Computer-Integrated Manufacturing, IEEE Industry Applications Magazine and Journal of Intelligent Manufacturing.

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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