Marcel Kettelgerdes

505 citations
12 papers · 323 · 1 hit paper · h-index 5

Impact in

Papers in

Marcel Kettelgerdes

12 papers receiving 300 citations

Marcel Kettelgerdes's Hit Papers

Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry 2021 · 292 citations
2920+1+3Years since publication50100150200250

Peers

Marcel Kettelgerdes
Comparison fields: 5 of 66
  • Medical Laboratory Technology 24
  • Industrial and Manufacturing Engineering 71
  • Control and Systems Engineering 119
  • Safety, Risk, Reliability and Quality 39
  • Automotive Engineering 48
Replace Finn Tseng with:
Finn Tseng United States
Manuel Avila France
Luca Maggiani Italy
Leïla Hayet Mouss Algeria
Janusz Szpytko Poland
Ekhi Zugasti Spain
Jovani Dalzochio Brazil
Wo Jae Lee United States
Xuewen Miao China
Zoi Arkouli Greece
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Citations per field
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Citations per year

Countries citing papers authored by Marcel Kettelgerdes

Since Specialization
Citations

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

Fields of papers citing papers by Marcel Kettelgerdes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 7 scholars most cited alongside Marcel Kettelgerdes, 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 Marcel Kettelgerdes Line = papers co-authored together Marcel Kettelgerdes links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1
Predictive maintenance enabled by machine learning: Use cases and challenges in the automotive industry
Hit paper breakdown →
2021292
2 20227
3 20236
4 20216
5 20215
6 20231
7 20251
8 20241
9 20221
10 20231
11 20231
12 20221

About Marcel Kettelgerdes

Marcel Kettelgerdes is a scholar working on Instrumentation, Industrial and Manufacturing Engineering, Environmental Engineering, Automotive Engineering and Ophthalmology, having authored 12 papers that have together received 323 indexed citations. Recurring topics across this work include Advanced Optical Sensing Technologies (8 papers), Industrial Vision Systems and Defect Detection (3 papers), Ocular and Laser Science Research (3 papers), Autonomous Vehicle Technology and Safety (3 papers), Air Quality Monitoring and Forecasting (2 papers), Semiconductor Lasers and Optical Devices (2 papers), Remote Sensing and LiDAR Applications (2 papers) and Additive Manufacturing Materials and Processes (2 papers). The work is most often cited by research in Medical Laboratory Technology (24 citations), Industrial and Manufacturing Engineering (71 citations), Control and Systems Engineering (119 citations), Safety, Risk, Reliability and Quality (39 citations) and Automotive Engineering (48 citations). Marcel Kettelgerdes has collaborated with scholars based in Germany and Romania. Frequent co-authors include Gordon Elger, Andreas Theissler, Judith Pérez-Velázquez, G. T. Bottger, Bernhard Wunderle, Maximilian Schmid and Amit Pandey. Their work appears in journals such as Remote Sensing, Reliability Engineering & System Safety, Results in Engineering, IEEE Journal of Radio Frequency Identification and Microelectronics Reliability.

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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