Christian Lehmann

2.2k citations
49 papers · 1.6k indexed · h-index 22
Topics
Manufacturing Process and Optimization (10 papers)Robot Manipulation and Learning (5 papers)Advanced machining processes and optimization (5 papers)

In The Last Decade

Christian Lehmann

47 papers receiving 1.6k citations

Peers

Christian Lehmann
Comparison fields: 5 of 102
  • Organic Chemistry 504
  • Materials Chemistry 411
  • Biomedical Engineering 307
  • Molecular Biology 249
  • Electronic, Optical and Magnetic Materials 199
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Licheng Wu China
Ying‐Hua Zhou China
Yi‐Hung Liu Taiwan
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Liping Ding China
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Citations per field
00.5×6.6×
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Citations per year

Countries citing papers authored by Christian Lehmann

Since Specialization
Citations

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

Fields of papers citing papers by Christian Lehmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christian Lehmann

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 6
3 61
4 73
5 49
6
Fault propagation and graph-based path generation for skill-based robot programming
1
7 2
8 2
9
Increasing Robotic Machining Accuracy Using Offline Compensation Based on Joint-Motion Simulation
1
10 42
11
Semi-automated Handling of Manhole Covers for Tank Wagon Processing Using Industrial Robots
1
12 8
13 29
14 3
15 49
16 29
17 9
18 7
19 16
20 29

About Christian Lehmann

Christian Lehmann is a scholar working on Industrial and Manufacturing Engineering, Pharmaceutical Science and Organic Chemistry, having authored 49 papers that have together received 1.6k indexed citations. Recurring topics across this work include Manufacturing Process and Optimization (10 papers), Robot Manipulation and Learning (5 papers) and Advanced machining processes and optimization (5 papers). The work is most often cited by research in Catalysis (166 citations), Organic Chemistry (504 citations) and Industrial and Manufacturing Engineering (119 citations). Christian Lehmann has collaborated with scholars based in Germany, United Kingdom and Sweden. Frequent co-authors include Claudia Weidenthaler, Judith A. K. Howard, Ferdi Schüth, Massimiliano Comotti, An‐Hui Lu, Osamu Terasaki, Klaus Schlichte, Ulrich Schwaneberg, Pierre H. Dixneuf and Christian Bruneau. Their work appears in journals such as Journal of the American Chemical Society, Advanced Materials and Journal of Applied Physics.

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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