H. G. Natke

1.9k citations
63 papers · 1.2k · h-index 17

Impact in

Papers in

H. G. Natke

58 papers receiving 1.0k citations

Peers

H. G. Natke
Comparison fields: 5 of 78
  • Statistics, Probability and Uncertainty 281
  • Civil and Structural Engineering 866
  • Control and Systems Engineering 258
  • Mechanical Engineering 364
  • Mechanics of Materials 188
Replace Jan Leuridan with:
Jan Leuridan Belgium
Laurent Mevel France
Ricardo Perera Spain
Qiang Han China
Pinqi Xia China
J.E.T. Penny United Kingdom
Tomasz Barszcz Poland
T. K. Hasselman United States
Cristina Verde Mexico
Cristinel Mares United Kingdom
H. G. Natke relative to Jan Leuridan Belgium Jan Leuridan's profile →
Citations per field
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Citations per year

Countries citing papers authored by H. G. Natke

Since Specialization
Citations

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

Fields of papers citing papers by H. G. Natke

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by H. G. Natke. 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 H. G. Natke. The network helps show where H. G. Natke may publish in the future.

Co-authors

The 18 scholars most cited alongside H. G. Natke, 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 H. G. Natke Line = papers co-authored together H. G. Natke links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995220
2 198879
3 199778
4 198677
5 198855
6 199254
7 198450
8 199645
9 199045
10 198432
11 199431
12 198830
13 200026
14 199121
15 199220
16 197017
17 199817
18 198316
19 199316
20
System Identification Methods for Fault Detection and Diagnosis
199013

About H. G. Natke

H. G. Natke is a scholar working on Civil and Structural Engineering, Control and Systems Engineering, Statistics, Probability and Uncertainty, Mechanical Engineering and Statistical and Nonlinear Physics, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Structural Health Monitoring Techniques (30 papers), Fault Detection and Control Systems (15 papers), Control Systems and Identification (12 papers), Probabilistic and Robust Engineering Design (12 papers), Model Reduction and Neural Networks (8 papers), Scientific Measurement and Uncertainty Evaluation (6 papers), Sensor Technology and Measurement Systems (5 papers) and Ultrasonics and Acoustic Wave Propagation (5 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (281 citations), Civil and Structural Engineering (866 citations), Control and Systems Engineering (258 citations), Mechanical Engineering (364 citations) and Mechanics of Materials (188 citations). H. G. Natke has collaborated with scholars based in Germany, United States and Poland. Frequent co-authors include F. Kozin, C. Cempel, James T. P. Yao, T. T. Soong, JingTao Yao, W. Gawroński, H. Saunders, Walter Ammann, C. C. Lin and Hugo Bachmann. Their work appears in journals such as International Journal of Systems Science, Archive of Applied Mechanics, Mechanical Systems and Signal Processing, Structural Safety and Probabilistic Engineering Mechanics.

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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