Stefan Lenz

30 papers receiving 295 citations

Peers

Stefan Lenz
Comparison fields: 5 of 91
  • General Engineering 30
  • Genetics 30
  • Civil and Structural Engineering 42
  • Mechanical Engineering 64
  • Physiology 40
Replace Abramo Agosti with:
Abramo Agosti Italy
Daniel Watson United States
Chao Pan China
Youhong Zhang China
Mohammad Hadigol United States
Sébastien Martin Taiwan
Aloysius Chu United States
Haojie Wang China
Robert Van Uitert United States
Xiaofei Guan China
Stefan Lenz relative to Abramo Agosti Italy Abramo Agosti's profile →
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Citations per year

Countries citing papers authored by Stefan Lenz

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Lenz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Stefan Lenz, 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 Stefan Lenz Line = papers co-authored together Stefan Lenz links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201353
2 200740
3 202228
4 201723
5 200720
6 202314
7 202113
8 202113
9 200712
10 200910
11 20209
12 20147
13 20036
14 20236
15
Optimization of electric arc furnace process at Deutsche Edelstahlwerke
20085
16 20205
17 20225
18 19895
19 20245
20 20194

About Stefan Lenz

Stefan Lenz is a scholar working on Mechanical Engineering, Molecular Biology, Computational Mechanics, Artificial Intelligence and Computational Theory and Mathematics, having authored 32 papers that have together received 305 indexed citations. Recurring topics across this work include Advanced Mathematical Modeling in Engineering (3 papers), Advanced Numerical Methods in Computational Mathematics (3 papers), Metallurgical Processes and Thermodynamics (3 papers), Single-cell and spatial transcriptomics (2 papers), Data Quality and Management (2 papers), Metal Extraction and Bioleaching (2 papers), Enzyme Structure and Function (2 papers) and Generative Adversarial Networks and Image Synthesis (2 papers). The work is most often cited by research in General Engineering (30 citations), Genetics (30 citations), Civil and Structural Engineering (42 citations), Mechanical Engineering (64 citations) and Physiology (40 citations). Stefan Lenz has collaborated with scholars based in Germany, Austria and United States. Frequent co-authors include Harald Binder, Kai Müller, Moritz Hess, Volker Gravemeier, Wolfgang A. Wall, Serge Weis, Daniela Lötsch, Bahil Ghanim, Gabriele Wurm and Walter Berger. Their work appears in journals such as Neuro-Oncology, Scientific Reports, steel research international, Briefings in Bioinformatics and Journal of Perinatal Medicine.

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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