Erik Frisk

2.9k total citations
157 papers, 2.2k citations indexed

About

Erik Frisk is a scholar working on Control and Systems Engineering, Automotive Engineering and Artificial Intelligence. According to data from OpenAlex, Erik Frisk has authored 157 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 121 papers in Control and Systems Engineering, 41 papers in Automotive Engineering and 25 papers in Artificial Intelligence. Recurrent topics in Erik Frisk's work include Fault Detection and Control Systems (92 papers), Machine Fault Diagnosis Techniques (35 papers) and AI-based Problem Solving and Planning (16 papers). Erik Frisk is often cited by papers focused on Fault Detection and Control Systems (92 papers), Machine Fault Diagnosis Techniques (35 papers) and AI-based Problem Solving and Planning (16 papers). Erik Frisk collaborates with scholars based in Sweden, United States and Spain. Erik Frisk's co-authors include Mattias Krysander, Jan Åslund, Mattias Nyberg, Lars Nielsen, Daniel Jung, Lars Eriksson, Peter Nyberg, Björn Olofsson, Dilek Düştegör and Vincent Cocquempot and has published in prestigious journals such as IEEE Transactions on Automatic Control, Journal of Power Sources and Automatica.

In The Last Decade

Erik Frisk

141 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Erik Frisk Sweden 26 1.6k 489 296 287 273 157 2.2k
Jan Åslund Sweden 18 905 0.6× 919 1.9× 118 0.4× 161 0.6× 82 0.3× 71 1.5k
Matthew Daigle United States 22 1.1k 0.7× 457 0.9× 338 1.1× 206 0.7× 275 1.0× 91 1.8k
Ming Yu China 21 1.2k 0.7× 348 0.7× 146 0.5× 390 1.4× 57 0.2× 89 1.5k
Cheng‐Geng Huang China 21 986 0.6× 278 0.6× 178 0.6× 540 1.9× 143 0.5× 37 1.7k
Mattias Krysander Sweden 21 1.3k 0.8× 159 0.3× 335 1.1× 224 0.8× 226 0.8× 91 1.6k
Hongfu Zuo China 20 747 0.5× 213 0.4× 105 0.4× 495 1.7× 144 0.5× 163 1.7k
Davide M. Raimondo Italy 28 2.2k 1.4× 796 1.6× 189 0.6× 109 0.4× 94 0.3× 88 3.1k
Wilson Wang Canada 25 1.0k 0.6× 492 1.0× 231 0.8× 575 2.0× 38 0.1× 89 2.0k
Haiping Zhu China 22 1.3k 0.8× 137 0.3× 241 0.8× 730 2.5× 140 0.5× 80 2.2k
Jonas Mårtensson Sweden 22 1.5k 0.9× 987 2.0× 71 0.2× 71 0.2× 122 0.4× 116 2.0k

Countries citing papers authored by Erik Frisk

Since Specialization
Citations

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

Fields of papers citing papers by Erik Frisk

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Erik Frisk

This figure shows the co-authorship network connecting the top 25 collaborators of Erik Frisk. A scholar is included among the top collaborators of Erik Frisk 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 Erik Frisk. Erik Frisk 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.
Zhou, Jian, et al.. (2025). Robust Predictive Motion Planning by Learning Obstacle Uncertainty. IEEE Transactions on Control Systems Technology. 33(3). 1006–1020. 2 indexed citations
2.
Zhou, Jian, Yulong Gao, Björn Olofsson, & Erik Frisk. (2025). Robust motion planning for autonomous vehicles based on environment and uncertainty-aware reachability prediction. Control Engineering Practice. 160. 106319–106319.
3.
Frisk, Erik, et al.. (2024). Synthetic Generation of Streamed and Snapshot Data for Predictive Maintenance. IFAC-PapersOnLine. 58(4). 270–275. 1 indexed citations
4.
Frisk, Erik, et al.. (2024). How do long combination vehicles perform in real traffic? A study using Naturalistic Driving Data. Accident Analysis & Prevention. 207. 107763–107763.
5.
Zhou, Jian, et al.. (2024). Homotopic Optimization for Autonomous Vehicle Maneuvering. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2561–2568. 3 indexed citations
6.
Zhou, Jian, Björn Olofsson, & Erik Frisk. (2023). Interaction-Aware Motion Planning for Autonomous Vehicles With Multi-Modal Obstacle Uncertainty Predictions. IEEE Transactions on Intelligent Vehicles. 9(1). 1305–1319. 30 indexed citations
7.
Olofsson, Björn, et al.. (2023). MTP-GO: Graph-Based Probabilistic Multi-Agent Trajectory Prediction With Neural ODEs. IEEE Transactions on Intelligent Vehicles. 8(9). 4223–4236. 33 indexed citations
8.
Jung, Daniel, et al.. (2020). A forest-based algorithm for selecting informative variables using Variable Depth Distribution. Engineering Applications of Artificial Intelligence. 97. 104073–104073. 4 indexed citations
9.
Frisk, Erik, et al.. (2020). Distributed Cooperative MPC for Autonomous Driving in Different Traffic Scenarios. IEEE Transactions on Intelligent Vehicles. 6(2). 299–309. 26 indexed citations
10.
Frisk, Erik, et al.. (2018). Data-Driven Battery Lifetime Prediction and Confidence Estimation for Heavy-Duty Trucks. IEEE Transactions on Reliability. 67(2). 623–639. 50 indexed citations
11.
Jung, Daniel, Yi Dong, Erik Frisk, Mattias Krysander, & Gautam Biswas. (2018). Sensor selection for fault diagnosis in uncertain systems. International Journal of Control. 93(3). 629–639. 18 indexed citations
12.
Frisk, Erik, et al.. (2018). Lead-acid battery maintenance using multilayer perceptron models. 1–8. 4 indexed citations
13.
Frisk, Erik, et al.. (2017). Data driven modeling and estimation of accumulated damage in mining vehicles using on-board sensors. Annual Conference of the PHM Society. 9(1). 3 indexed citations
14.
Frisk, Erik, et al.. (2014). Data-Driven Lead-Acid Battery Prognostics Using Random Survival Forests. Annual Conference of the PHM Society. 6(1). 20 indexed citations
15.
Frisk, Erik, Aníbal Bregón, Jan Åslund, et al.. (2010). Diagnosability Analysis Considering Causal Interpretations for Differential Constrain. Annual Conference of the PHM Society. 2(2). 6 indexed citations
16.
Almqvist, Erik G., et al.. (2010). Solving the ADAPT Benchmark Problem - A Student Project Study. Annual Conference of the PHM Society. 2(2). 4 indexed citations
17.
Krysander, Mattias, Fredrik Heintz, Jacob Roll, & Erik Frisk. (2010). FlexDx: A reconfigurable diagnosis framework. Engineering Applications of Artificial Intelligence. 23(8). 1303–1313. 12 indexed citations
18.
Frisk, Erik & Jan Åslund. (2005). Lowering orders of derivatives in non-linear residual generation using realization theory. Automatica. 41(10). 1799–1807. 15 indexed citations
19.
Cedersund, Gunnar, et al.. (2004). Improving Airplane Safety by Incorporating Diagnosis into Existing Safety Practice. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2004. 21–21. 1 indexed citations
20.
Frisk, Erik. (2001). RESIDUAL GENERATION FOR FAULT DIAGNOSIS. KTH Publication Database DiVA (KTH Royal Institute of Technology). 32 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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