Martin Esser
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- Manufacturing Process and Optimization 4
- Scheduling and Optimization Algorithms 1
- Advanced Manufacturing and Logistics Optimization 1
- Mechanical Engineering top 10%
- Modular Robots and Swarm Intelligence 1
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- Product Development and Customization 1
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- Advanced Surface Polishing Techniques 1
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- Surgical Simulation and Training 1
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- Augmented Reality Applications 1
- Co-authors
- Christian BrecherS. WittRainer MüllerBurkhard CorvesMathias HüsingWolfgang LauerKlaus RadermacherMarkus Damm
- Cited by
- Industrial and Manufacturing EngineeringMechanical EngineeringManagement of Technology and Innovation
- Journals
- SAE technical papers on CD-ROM/SAE technical paper series (1 paper)Journal of Intelligent Manufacturing (1 paper)CIRP Annals (1 paper)
- Partner nations
- Germany
In The Last Decade
Martin Esser
7 papers receiving 224 citations
Peers
Comparison fields: 5 of 32
- Industrial and Manufacturing Engineering 127
- Mechanical Engineering 166
- Management of Technology and Innovation 21
- Biomedical Engineering 87
- Control and Systems Engineering 34
Countries citing papers authored by Martin Esser
This map shows the geographic impact of Martin Esser'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 Martin Esser with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Esser more than expected).
Fields of papers citing papers by Martin Esser
This network shows the impact of papers produced by Martin Esser. 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 Martin Esser. The network helps show where Martin Esser may publish in the future.
Co-authorship network
The 8 scholars most cited alongside Martin Esser, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2012 | 40 | |
| 3 | 2011 | 12 | |
| 4 | 2011 | 7 | |
| 5 | 2011 | 2 | |
| 6 | 2009 | 172 | |
| 7 | 2002 | 5 |
About Martin Esser
Martin Esser is a scholar working on Industrial and Manufacturing Engineering, Management of Technology and Innovation and Control and Systems Engineering, having authored 7 papers that have together received 239 indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (4 papers), Modular Robots and Swarm Intelligence (1 paper), Product Development and Customization (1 paper), Advanced Surface Polishing Techniques (1 paper), Scheduling and Optimization Algorithms (1 paper), Advanced Manufacturing and Logistics Optimization (1 paper), Surgical Simulation and Training (1 paper) and Augmented Reality Applications (1 paper). The work is most often cited by research in Industrial and Manufacturing Engineering (127 citations), Mechanical Engineering (166 citations) and Management of Technology and Innovation (21 citations). Martin Esser has collaborated with scholars based in Germany. Frequent co-authors include Christian Brecher, S. Witt, Rainer Müller, Burkhard Corves, Mathias Hüsing, Wolfgang Lauer, Klaus Radermacher and Markus Damm. Their work appears in journals such as SAE technical papers on CD-ROM/SAE technical paper series, Journal of Intelligent Manufacturing, CIRP Annals, Production Engineering and Biomedizinische Technik/Biomedical Engineering.
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.