Pawel Malysz

2.6k citations
43 papers · 2.1k indexed · 1 hit paper · h-index 19
Topics
Advanced Battery Technologies Research (21 papers)Teleoperation and Haptic Systems (13 papers)Electric Vehicles and Infrastructure (11 papers)
Partner nations
CanadaUnited StatesJapan

In The Last Decade

Pawel Malysz

41 papers receiving 2.0k citations

Hit Papers

Machine Learning Applied to Electrified Vehicle Battery S...20202026202220242020100200300

Peers

Pawel Malysz
Comparison fields: 5 of 78
  • Electrical and Electronic Engineering 1.5k
  • Automotive Engineering 1.2k
  • Control and Systems Engineering 784
  • Mechanical Engineering 323
  • Biomedical Engineering 162
Replace Xiangyu Wang with:
Xiangyu Wang China
Moussa Boukhnifer France
M. Abul Masrur United States
Chunbo Zhu China
Danijel Pavković Croatia
Chengliang Yin China
Guoqing Xu China
Stefano Longo United Kingdom
Peng Xu China
Pawel Malysz relative to Xiangyu Wang China Xiangyu Wang's profile →
Citations per field
00.5×2.9×
Xiangyu Wang · 1×
Citations per year

Countries citing papers authored by Pawel Malysz

Since Specialization
Citations

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

Fields of papers citing papers by Pawel Malysz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pawel Malysz

This figure shows the co-authorship network connecting the top 25 collaborators of Pawel Malysz. A scholar is included among the top collaborators of Pawel Malysz 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 Pawel Malysz. Pawel Malysz 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
#WorkIndexed citations
1 52
2 0
3 18
4
Machine Learning Applied to Electrified Vehicle Battery State of Charge and State of Health Estimation: State-of-the-Artbreakdown →
326
5 71
6 9
7 6
8 74
9 3
10 39
11 360
12 7
13 16
14 6
15 15
16 22
17 4
18 26
19 7
20 3

About Pawel Malysz

Pawel Malysz is a scholar working on Automotive Engineering, Control and Systems Engineering and Electrical and Electronic Engineering, having authored 43 papers that have together received 2.1k indexed citations. Recurring topics across this work include Advanced Battery Technologies Research (21 papers), Teleoperation and Haptic Systems (13 papers) and Electric Vehicles and Infrastructure (11 papers). The work is most often cited by research in Automotive Engineering (1.2k citations), Control and Systems Engineering (784 citations) and Energy Engineering and Power Technology (81 citations). Pawel Malysz has collaborated with scholars based in Canada, United States and Japan. Frequent co-authors include Ali Emadi, Shahin Sirouspour, Phillip J. Kollmeyer, Carlos Vidal, Matthias Preindl, Ephrem Chemali, Jin Ye, Ran Gu, Yang Hong and Berker Bilgin. Their work appears in journals such as IEEE Access, IEEE Transactions on Smart Grid and IEEE Transactions on Vehicular Technology.

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026