Dirk Söffker

3.9k citations
299 papers · 3.0k · 1 hit paper · h-index 26

Impact in

Papers in

Dirk Söffker

280 papers receiving 3.0k citations

Dirk Söffker's Hit Papers

Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning 2019 · 262 citations
2620+2+4Years since publication50100150200250

Peers

Dirk Söffker
Comparison fields: 5 of 137
  • Automotive Engineering 670
  • Control and Systems Engineering 1.3k
  • Safety, Risk, Reliability and Quality 197
  • Mechanical Engineering 634
  • Civil and Structural Engineering 365
Replace Hongbo Gao with:
Hongbo Gao China
Dieter Schramm Germany
Reza N. Jazar Australia
Clarence W. de Silva Canada
Hong Wang China
Lorenzo Ciani Italy
Feng Gao China
Yunfeng Ai China
Torsten Bertram Germany
Frank Gauterin Germany
Dirk Söffker relative to Hongbo Gao China Hongbo Gao's profile →
Citations per field
00.5×4.6×
Hongbo Gao · 1×
Citations per year

Countries citing papers authored by Dirk Söffker

Since Specialization
Citations

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

Fields of papers citing papers by Dirk Söffker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 299 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016264
2
Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning
Hit paper breakdown →
2019262
3 1995166
4 2018108
5 201677
6 201675
7 201873
8 202172
9 201570
10 201564
11 201953
12 201952
13 199452
14 201750
15 201449
16 201840
17 201139
18 201538
19 201537
20 201833

About Dirk Söffker

Dirk Söffker is a scholar working on Control and Systems Engineering, Automotive Engineering, Mechanical Engineering, Artificial Intelligence and Social Psychology, having authored 299 papers that have together received 3.0k indexed citations. Recurring topics across this work include Human-Automation Interaction and Safety (49 papers), Fault Detection and Control Systems (38 papers), Electric and Hybrid Vehicle Technologies (30 papers), Advanced Battery Technologies Research (30 papers), Hydraulic and Pneumatic Systems (28 papers), Structural Health Monitoring Techniques (27 papers), AI-based Problem Solving and Planning (24 papers) and Autonomous Vehicle Technology and Safety (23 papers). The work is most often cited by research in Automotive Engineering (670 citations), Control and Systems Engineering (1.3k citations), Safety, Risk, Reliability and Quality (197 citations), Mechanical Engineering (634 citations) and Civil and Structural Engineering (365 citations). Dirk Söffker has collaborated with scholars based in Germany, Vietnam and United States. Frequent co-authors include Jackson G. Njiri, Nejra Beganović, Ahmed M. Ali, Qi Deng, Peter C. Müller, Tie-Jun Yu, Min Liu, Weiming Shen, Gaowei Xu and Matthias Marx. Their work appears in journals such as Nonlinear Dynamics, Structural Health Monitoring, Energies, Mechanical Systems and Signal Processing and IEEE Transactions on Intelligent Transportation Systems.

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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