Alina Bialkowski

1.1k citations
34 papers · 698 indexed · h-index 14

Impact in

Papers in

Alina Bialkowski

32 papers receiving 664 citations

Peers

Alina Bialkowski
Comparison fields: 5 of 94
  • Orthopedics and Sports Medicine 146
  • Computer Vision and Pattern Recognition 302
  • Signal Processing 126
  • Health Informatics 15
  • Economics and Econometrics 249
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Daniel Link Germany
Huang-Chia Shih Taiwan
Maria Skublewska‐Paszkowska Poland
Zhutian Chen United States
Gopal Pingali United States
Alan Blair Australia
Nasharuddin Zainal Malaysia
Edyta Łukasik Poland
Magnus Johnsson Sweden
Evaggelos Spyrou Greece
Alina Bialkowski relative to Daniel Link Germany Daniel Link's profile →
Citations per field
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Citations per year

Countries citing papers authored by Alina Bialkowski

Since Specialization
Citations

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

Fields of papers citing papers by Alina Bialkowski

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Alina Bialkowski, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Alina Bialkowski Line = papers co-authored together Alina Bialkowski links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20242
2 20240
3 20243
4 202413
5 202410
6 20234
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10 20222
11 202262
12 20222
13 202111
14 20216
15 202028
16 202037
17
Win at home and draw away: automatic formation analysis highlighting the differences in home and away team behaviors
201431
18 201343
19
Characterizing multi-agent team behavior from partial team tracings: evidence from the english premier league
201219
20 201286

About Alina Bialkowski

Alina Bialkowski is a scholar working on Signal Processing, Computer Vision and Pattern Recognition, Neurology, Safety Research and Biomedical Engineering, having authored 34 papers that have together received 698 indexed citations. Recurring topics across this work include Microwave Imaging and Scattering Analysis (10 papers), Sports Analytics and Performance (8 papers), Time Series Analysis and Forecasting (6 papers), Human Pose and Action Recognition (5 papers), Video Surveillance and Tracking Methods (5 papers), Brain Tumor Detection and Classification (4 papers), Video Analysis and Summarization (4 papers) and Anomaly Detection Techniques and Applications (4 papers). The work is most often cited by research in Orthopedics and Sports Medicine (146 citations), Computer Vision and Pattern Recognition (302 citations), Signal Processing (126 citations), Health Informatics (15 citations) and Economics and Econometrics (249 citations). Alina Bialkowski has collaborated with scholars based in Australia, United States and Belgium. Frequent co-authors include Patrick Lucey, Iain Matthews, Peter Carr, Sridha Sridharan, Yisong Yue, Clinton Fookes, Simon Denman, Lei Guo, Amin Abbosh and Mathew Monfort. Their work appears in journals such as IEEE Journal of Electromagnetics RF and Microwaves in Medicine and Biology, Scientific Reports, Journal of Biomechanics, Frontiers in Neurology and IEEE Transactions on Computational Imaging.

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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