Dirk Söffker

3.8k total citations · 1 hit paper
278 papers, 2.8k citations indexed

About

Dirk Söffker is a scholar working on Control and Systems Engineering, Automotive Engineering and Mechanical Engineering. According to data from OpenAlex, Dirk Söffker has authored 278 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 110 papers in Control and Systems Engineering, 58 papers in Automotive Engineering and 52 papers in Mechanical Engineering. Recurrent topics in Dirk Söffker's work include Human-Automation Interaction and Safety (48 papers), Fault Detection and Control Systems (33 papers) and Electric and Hybrid Vehicle Technologies (28 papers). Dirk Söffker is often cited by papers focused on Human-Automation Interaction and Safety (48 papers), Fault Detection and Control Systems (33 papers) and Electric and Hybrid Vehicle Technologies (28 papers). Dirk Söffker collaborates with scholars based in Germany, Vietnam and United States. Dirk Söffker's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, Renewable and Sustainable Energy Reviews and IEEE Access.

In The Last Decade

Dirk Söffker

263 papers receiving 2.7k citations

Hit Papers

Bearing Fault Diagnosis Method Based on Deep Convolutiona... 2019 2026 2021 2023 2019 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Bearing Fault Diagnosis Method Based on Deep Convolutional Neural Network and Random Forest Ensemble Learning
    2019 245 citations Dirk Söffker et al. Sensors profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Dirk Söffker Germany 25 1.2k 710 615 596 333 278 2.8k
Hongbo Gao China 30 886 0.7× 307 0.4× 1.3k 2.1× 221 0.4× 189 0.6× 163 3.5k
Reza N. Jazar Australia 33 1.3k 1.1× 393 0.6× 1.8k 3.0× 1.4k 2.4× 1.1k 3.2× 178 4.4k
Sang Woo Kim South Korea 29 801 0.7× 873 1.2× 402 0.7× 441 0.7× 165 0.5× 191 2.7k
Feng Gao China 30 2.7k 2.2× 560 0.8× 918 1.5× 507 0.9× 136 0.4× 257 3.7k
René van de Molengraft Netherlands 29 2.6k 2.2× 592 0.8× 774 1.3× 964 1.6× 196 0.6× 183 3.7k
Lorenzo Ciani Italy 30 567 0.5× 888 1.3× 382 0.6× 252 0.4× 183 0.5× 206 2.6k
Torsten Bertram Germany 28 1.4k 1.2× 333 0.5× 794 1.3× 531 0.9× 83 0.2× 204 2.9k
Hong Wang China 25 440 0.4× 243 0.3× 1.1k 1.7× 197 0.3× 119 0.4× 154 2.3k
Clarence W. de Silva Canada 32 2.1k 1.8× 823 1.2× 219 0.4× 1.3k 2.1× 399 1.2× 214 4.6k
Efstathios Velenis United Kingdom 28 1.1k 0.9× 645 0.9× 2.7k 4.4× 699 1.2× 487 1.5× 80 3.4k

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-authorship network of co-authors of Dirk Söffker

This figure shows the co-authorship network connecting the top 25 collaborators of Dirk Söffker. A scholar is included among the top collaborators of Dirk Söffker 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 Dirk Söffker. Dirk Söffker 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
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He, Chao, et al.. (2022). Novel Model-Based Decision Support System for Reliable Human Machine Systems in Complex Situations. Annual Conference of the PHM Society. 14(1). 2 indexed citations
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Söffker, Dirk, et al.. (2022). Fast and Precise Generic Model for Position-Based Trajectory Prediction of Inland Waterway Vessels. SHILAP Revista de lepidopterología. 3(4). 633–645. 1 indexed citations
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Söffker, Dirk, et al.. (2022). Determination of Takeover Time Budget Based on Analysis of Driver Behavior. IEEE Open Journal of Intelligent Transportation Systems. 3. 813–824. 9 indexed citations
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Deng, Qi & Dirk Söffker. (2021). A Review of HMM-Based Approaches of Driving Behaviors Recognition and Prediction. IEEE Transactions on Intelligent Vehicles. 7(1). 21–31. 62 indexed citations
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Söffker, Dirk, et al.. (2021). Stator-Rotor Contact Force Estimation of Rotating Machine. SHILAP Revista de lepidopterología. 2(3). 83–97. 1 indexed citations
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Deng, Qi, et al.. (2021). How to evaluate classifier performance in the presence of additional effects: A new POD-based approach allowing certification of machine learning approaches. SHILAP Revista de lepidopterología. 7. 100220–100220. 4 indexed citations
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Söffker, Dirk, et al.. (2020). Battery Management System for Future Electric Vehicles. Applied Sciences. 10(15). 5095–5095. 4 indexed citations
10.
Söffker, Dirk, et al.. (2020). State Machine Approach for Lane Changing Driving Behavior Recognition. DuEPublico (University of Duisburg-Essen). 1(1). 68–79. 3 indexed citations
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Söffker, Dirk, et al.. (2018). Bridging Gaps Among Human, Assisted, and Automated Driving With DVIs: A Conceptional Experimental Study. IEEE Transactions on Intelligent Transportation Systems. 20(6). 2096–2108. 23 indexed citations
14.
Söffker, Dirk, et al.. (2018). Model-free control of unknown nonlinear systems using an iterative learning concept: theoretical development and experimental validation. Nonlinear Dynamics. 94(2). 1151–1163. 19 indexed citations
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Söffker, Dirk, et al.. (2017). New Approaches for Supervision of Systems with Sliding Wear: Fundamental Problems and Experimental Results Using Different Approaches. Applied Sciences. 7(8). 843–843. 3 indexed citations
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Söffker, Dirk, et al.. (2014). Review and Comparison of Power Management Approaches for Hybrid Vehicles with Focus on Hydraulic Drives. Energies. 7(6). 3512–3536. 46 indexed citations
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Voos, Holger, et al.. (2010). On Risk Formalization of On-Line Risk Assessment for Safe Decision Making in Robotics. Open Repository and Bibliography (University of Luxembourg). 4 indexed citations
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Voos, Holger, et al.. (2010). Development of Safe Autonomous Mobile Service Robots using an Active Integrated Approach. Open Repository and Bibliography (University of Luxembourg). 1–8. 1 indexed citations
20.
Söffker, Dirk, et al.. (2010). Powermanagement eines hybridelektrischen Antriebs - Auslegung, Optimierung und Leistungsregelung (Powermanagement of a Hybrid Electric Powertrain - Design Aspects, Optimization Targets and Power Flow Control).. 58. 580–589. 1 indexed citations

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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