Johan Wahlström

1.6k total citations
56 papers, 1.1k citations indexed

About

Johan Wahlström is a scholar working on Artificial Intelligence, Electrical and Electronic Engineering and Fluid Flow and Transfer Processes. According to data from OpenAlex, Johan Wahlström has authored 56 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Artificial Intelligence, 15 papers in Electrical and Electronic Engineering and 13 papers in Fluid Flow and Transfer Processes. Recurrent topics in Johan Wahlström's work include Advanced Combustion Engine Technologies (13 papers), Indoor and Outdoor Localization Technologies (10 papers) and Autonomous Vehicle Technology and Safety (9 papers). Johan Wahlström is often cited by papers focused on Advanced Combustion Engine Technologies (13 papers), Indoor and Outdoor Localization Technologies (10 papers) and Autonomous Vehicle Technology and Safety (9 papers). Johan Wahlström collaborates with scholars based in Sweden, United Kingdom and United States. Johan Wahlström's co-authors include Isaac Skog, Peter Händel, Lars Eriksson, Lars Nielsen, Andrew Markham, Niki Trigoni, Lars I. Eriksson, Arye Nehorai, Chris Xiaoxuan Lu and Changhao Chen and has published in prestigious journals such as Scientific Reports, IEEE Transactions on Signal Processing and IEEE Access.

In The Last Decade

Johan Wahlström

53 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Johan Wahlström Sweden 16 320 250 200 177 176 56 1.1k
Yıldıray Yıldız Türkiye 22 524 1.6× 93 0.4× 1.0k 5.1× 165 0.9× 100 0.6× 87 1.5k
Jian-Da Wu Taiwan 24 253 0.8× 182 0.7× 869 4.3× 242 1.4× 240 1.4× 60 1.9k
Ali Ghaffari Iran 21 436 1.4× 170 0.7× 874 4.4× 71 0.4× 61 0.3× 95 1.4k
Sean Brennan United States 22 696 2.2× 242 1.0× 522 2.6× 123 0.7× 186 1.1× 146 1.6k
N. Muthukumaran India 25 125 0.4× 499 2.0× 89 0.4× 172 1.0× 263 1.5× 108 1.5k
Simone Formentin Italy 24 540 1.7× 227 0.9× 1.5k 7.7× 131 0.7× 76 0.4× 216 2.2k
Timoleon Kipouros United Kingdom 17 60 0.2× 66 0.3× 55 0.3× 102 0.6× 68 0.4× 110 1.0k
Namwoo Kang South Korea 18 366 1.1× 219 0.9× 76 0.4× 84 0.5× 52 0.3× 62 1.2k
Md Abdus Samad Kamal Japan 22 1.5k 4.6× 400 1.6× 1.5k 7.7× 124 0.7× 204 1.2× 128 2.4k
Shen Wang Ireland 15 126 0.4× 422 1.7× 213 1.1× 200 1.1× 154 0.9× 67 1.2k

Countries citing papers authored by Johan Wahlström

Since Specialization
Citations

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

Fields of papers citing papers by Johan Wahlström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Johan Wahlström

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Wahlström. A scholar is included among the top collaborators of Johan Wahlström 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 Johan Wahlström. Johan Wahlström 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.
Ghatee, Mehdi, et al.. (2025). Superior scoring rules for probabilistic evaluation of single-label multi-class classification tasks. International Journal of Approximate Reasoning. 182. 109421–109421. 2 indexed citations
2.
Gustafsson, Fredrik, et al.. (2025). Road Roughness Estimation via Fusion of Standard Onboard Automotive Sensors. ArXiv.org. 1–8. 1 indexed citations
3.
Ghatee, Mehdi, et al.. (2024). Uncertainty Quantification to Enhance Probabilistic-Fusion-Based User Identification Using Smartphones. IEEE Internet of Things Journal. 11(20). 33450–33458. 2 indexed citations
4.
Lobora, Alex L., et al.. (2024). The secret acoustic world of leopards: A paired camera trap and bioacoustics survey facilitates individual identification of leopards via their roars. Remote Sensing in Ecology and Conservation. 11(4). 361–374. 2 indexed citations
5.
Ghatee, Mehdi, et al.. (2024). Improved User Identification through Calibrated Monte-Carlo Dropout. Knowledge-Based Systems. 305. 112581–112581. 3 indexed citations
6.
Ghatee, Mehdi, et al.. (2024). Securing the Internet of Things Through Device Identification via Network Traffic Analysis. 132–138. 1 indexed citations
7.
Wahlström, Johan, et al.. (2024). A Human-in-the-Middle Attack Against Object Detection Systems. IEEE Transactions on Artificial Intelligence. 5(10). 4884–4892.
8.
Wahlström, Johan, et al.. (2023). LEAN: Real-Time Analysis of Resistance Training Using Wearable Computing. Sensors. 23(10). 4602–4602. 5 indexed citations
9.
Wahlström, Johan, et al.. (2021). Local clustering via approximate heat kernel PageRank with subgraph sampling. Scientific Reports. 11(1). 15786–15786. 4 indexed citations
10.
Saputra, Muhamad Risqi U., Pedro Porto Buarque de Gusmão, Chris Xiaoxuan Lu, et al.. (2020). DeepTIO: A Deep Thermal-Inertial Odometry With Visual Hallucination. IEEE Robotics and Automation Letters. 5(2). 1672–1679. 50 indexed citations
11.
Wahlström, Johan, et al.. (2019). Smartphone Placement Within Vehicles. IEEE Transactions on Intelligent Transportation Systems. 21(2). 669–679. 12 indexed citations
12.
González, Luis C., et al.. (2019). How Smartphone Accelerometers Reveal Aggressive Driving Behavior?—The Key is the Representation. IEEE Transactions on Intelligent Transportation Systems. 21(8). 3377–3387. 42 indexed citations
13.
Gréen, Anna, Jon Jonasson, Hartmut Vogt, et al.. (2018). Could Dissimilar Phenotypic Effects of ACTB Missense Mutations Reflect the Actin Conformational Change Two Novel Mutations and Literature Review. Molecular Syndromology. 9(5). 259–265. 11 indexed citations
14.
Wahlström, Johan, et al.. (2018). Community Detection in Complex Networks via Clique Conductance. Scientific Reports. 8(1). 5982–5982. 47 indexed citations
15.
Wahlström, Johan, Isaac Skog, & Peter Händel. (2015). IMU alignment for smartphone-based automotive navigation. International Conference on Information Fusion. 1437–1443. 15 indexed citations
16.
Wahlström, Johan, Isaac Skog, & Peter Händel. (2015). Driving Behavior Analysis for Smartphone-based Insurance Telematics. 19–24. 36 indexed citations
17.
Wahlström, Johan & Lars Eriksson. (2010). Modeling of a diesel engine with intake throttle, VGT, and EGR. KTH Publication Database DiVA (KTH Royal Institute of Technology). 12 indexed citations
18.
Wahlström, Johan & Lars Eriksson. (2009). Modeling of a Diesel Engine with VGT and EGR capturing Sign Reversal and Non-minimum Phase Behaviors. KTH Publication Database DiVA (KTH Royal Institute of Technology). 7 indexed citations
19.
Wahlström, Johan & Lars Eriksson. (2009). Non-linear Compensator for handling non-linear Effects in EGR VGT Diesel Engines. KTH Publication Database DiVA (KTH Royal Institute of Technology). 2 indexed citations
20.
Wahlström, Johan & Lars Eriksson. (2006). Modeling of a Diesel Engine with VGT and EGR including Oxygen Mass Fraction. KTH Publication Database DiVA (KTH Royal Institute of Technology). 13 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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