Stefan Byttner

877 total citations
43 papers, 479 citations indexed

About

Stefan Byttner is a scholar working on Control and Systems Engineering, Artificial Intelligence and Automotive Engineering. According to data from OpenAlex, Stefan Byttner has authored 43 papers receiving a total of 479 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Control and Systems Engineering, 18 papers in Artificial Intelligence and 8 papers in Automotive Engineering. Recurrent topics in Stefan Byttner's work include Fault Detection and Control Systems (18 papers), Advanced Combustion Engine Technologies (7 papers) and Vehicle emissions and performance (6 papers). Stefan Byttner is often cited by papers focused on Fault Detection and Control Systems (18 papers), Advanced Combustion Engine Technologies (7 papers) and Vehicle emissions and performance (6 papers). Stefan Byttner collaborates with scholars based in Sweden, United States and Japan. Stefan Byttner's co-authors include Thorsteinn Rögnvaldsson, Sławomir Nowaczyk, Mohamed-Rafik Bouguelia, Nicholas Wickström, Ulf Holmberg, Magnus Svensson, Henrik Gadd, Karl Iagnemma, Ramón González and Nataša Nord and has published in prestigious journals such as Expert Systems with Applications, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.

In The Last Decade

Stefan Byttner

36 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stefan Byttner Sweden 11 194 108 82 64 60 43 479
Daniel Jung Sweden 13 439 2.3× 130 1.2× 82 1.0× 85 1.3× 107 1.8× 58 603
Manuel Arias Chao Switzerland 8 362 1.9× 88 0.8× 61 0.7× 107 1.7× 73 1.2× 17 584
Kaarthik Sundar United States 16 79 0.4× 33 0.3× 55 0.7× 33 0.5× 195 3.3× 50 604
R.P. Jones United Kingdom 14 215 1.1× 72 0.7× 258 3.1× 160 2.5× 107 1.8× 79 636
Huixin Tian China 16 270 1.4× 232 2.1× 93 1.1× 227 3.5× 157 2.6× 61 784
Shaopeng Dong China 6 441 2.3× 110 1.0× 54 0.7× 167 2.6× 101 1.7× 15 730
Arslan Ahmed Amin Pakistan 18 724 3.7× 74 0.7× 96 1.2× 108 1.7× 361 6.0× 55 1.1k
Peng Wei United States 22 284 1.5× 80 0.7× 400 4.9× 60 0.9× 125 2.1× 82 1.1k
Gregory J. Kacprzynski United States 15 506 2.6× 93 0.9× 71 0.9× 127 2.0× 51 0.8× 33 756
Shimeng Wu China 10 432 2.2× 136 1.3× 53 0.6× 114 1.8× 97 1.6× 23 656

Countries citing papers authored by Stefan Byttner

Since Specialization
Citations

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

Fields of papers citing papers by Stefan Byttner

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stefan Byttner

This figure shows the co-authorship network connecting the top 25 collaborators of Stefan Byttner. A scholar is included among the top collaborators of Stefan Byttner 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 Stefan Byttner. Stefan Byttner 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
1.
Lundström, Jens, et al.. (2025). Latent Space Score-based Diffusion Model for Probabilistic Multivariate Time Series Imputation. Lund University Publications (Lund University). 1–5.
2.
3.
Tiwari, Prayag, et al.. (2024). Dynamic Causal Explanation Based Diffusion-Variational Graph Neural Network for Spatiotemporal Forecasting. IEEE Transactions on Neural Networks and Learning Systems. 36(5). 9524–9537. 9 indexed citations
4.
Freitas, Edison Pignaton de, et al.. (2024). Graph neural networks for clinical risk prediction based on electronic health records: A survey. Journal of Biomedical Informatics. 151. 104616–104616. 13 indexed citations
5.
Byttner, Stefan, et al.. (2022). A conformal anomaly detection based industrial fleet monitoring framework: A case study in district heating. Expert Systems with Applications. 201. 116864–116864. 5 indexed citations
6.
Heintz, Fredrik, Amy Loutfi, Johan Axelsson, et al.. (2021). AI COMPETENCE FOR SWEDEN - A NATIONAL LIFE-LONG LEARNING INITIATIVE. EDULEARN proceedings. 1. 2560–2567. 1 indexed citations
7.
Byttner, Stefan, et al.. (2021). Mondrian conformal anomaly detection for fault sequence identification in heterogeneous fleets. Neurocomputing. 462. 591–606. 5 indexed citations
8.
Rögnvaldsson, Thorsteinn, et al.. (2017). Self-monitoring for maintenance of vehicle fleets. Data Mining and Knowledge Discovery. 32(2). 344–384. 21 indexed citations
9.
González, R. Gilberto, Stefan Byttner, & Karl Iagnemma. (2016). Comparison of Machine Learning Approaches for Soil Embedding Detection of Planetary Exploration Rovers. 2 indexed citations
10.
Nowaczyk, Sławomir, et al.. (2015). Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data. Engineering Applications of Artificial Intelligence. 41. 139–150. 117 indexed citations
11.
Nowaczyk, Sławomir, et al.. (2013). Analysis of Truck Compressor Failures Based on Logged Vehicle Data. KTH Publication Database DiVA (KTH Royal Institute of Technology). 17(2). 101–61. 8 indexed citations
12.
Nowaczyk, Sławomir, et al.. (2012). Ideas for Fault Detection Using Relation Discovery. KTH Publication Database DiVA (KTH Royal Institute of Technology). 1–6. 1 indexed citations
13.
Byttner, Stefan, et al.. (2011). Incremental classification of process data for anomaly detection based on similarity analysis. 13. 108–115. 1 indexed citations
14.
Byttner, Stefan, et al.. (2009). Networked vehicles for automated fault detection. Hogskolan Ihalmstad (Halmstad University). 1213–1216. 7 indexed citations
15.
Byttner, Stefan, et al.. (2009). Vehicle Diagnostics Method by Anomaly Detection and Fault Identification Software. SAE International journal of passenger cars. Electronic and electrical systems. 2(1). 352–358. 4 indexed citations
16.
Byttner, Stefan & Ulf Holmberg. (2008). Closed-loop control of EGR using ion currents. KTH Publication Database DiVA (KTH Royal Institute of Technology). 333–339. 4 indexed citations
17.
Byttner, Stefan, et al.. (2008). Self-organized Modeling for Vehicle Fleet Based Fault Detection. SAE technical papers on CD-ROM/SAE technical paper series. 5 indexed citations
18.
Wickström, Nicholas, Stefan Byttner, & Ulf Holmberg. (2005). Robust Tuning of Individual Cylinders AFR in SI Engines with the Ion Current. SAE technical papers on CD-ROM/SAE technical paper series. 1. 12 indexed citations
19.
Byttner, Stefan. (2003). Algorithms for ion current based sensing of combustion variability and pressure peak position. Chalmers Publication Library (Chalmers University of Technology).
20.
Byttner, Stefan, Thorsteinn Rögnvaldsson, & Nicholas Wickström. (2001). Estimation of Combustion Variability Using In-cylinder Ionization Measurements. SAE technical papers on CD-ROM/SAE technical paper series. 1. 21 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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