Łukasz Kidziński

3.1k citations
44 papers · 1.5k indexed · 3 hit papers · h-index 20
Topics
Online Learning and Analytics (11 papers)Cerebral Palsy and Movement Disorders (5 papers)Balance, Gait, and Falls Prevention (5 papers)

In The Last Decade

Łukasz Kidziński

43 papers receiving 1.5k citations

Hit Papers

Deep neural networks enable quantitative movement analysi...202020262022202420202023202450100150

Peers

Łukasz Kidziński
Comparison fields: 5 of 153
  • Biomedical Engineering 444
  • Physical Therapy, Sports Therapy and Rehabilitation 178
  • Computer Vision and Pattern Recognition 175
  • Education 168
  • Computer Science Applications 153
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Amaia Méndez Zorrilla Spain
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Citations per field
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Citations per year

Countries citing papers authored by Łukasz Kidziński

Since Specialization
Citations

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

Fields of papers citing papers by Łukasz Kidziński

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Łukasz Kidziński

This figure shows the co-authorship network connecting the top 25 collaborators of Łukasz Kidziński. A scholar is included among the top collaborators of Łukasz Kidziński 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 Łukasz Kidziński. Łukasz Kidziński 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
Spatially Segregated Macrophage Populations Predict Distinct Outcomes in Colon Cancerbreakdown →
62
2
OpenCap: Human movement dynamics from smartphone videosbreakdown →
133
3 28
4 17
5 43
6 143
7 113
8
Deep neural networks enable quantitative movement analysis using single-camera videosbreakdown →
187
9 29
10 24
11 81
12 1
13 17
14 14
15
On generalizability of MOOC models
7
16
Enhancing video-based learning experience through smart environments and analytics
3
17
How employment constrains participation in MOOCs
4
18
Semi-Markov Model for Simulating MOOC Students.
12
19
Translating Head Motion into Attention - Towards Processing of Student’s Body-Language
30
20
A tutorial on machine learning in educational science
6

About Łukasz Kidziński

Łukasz Kidziński is a scholar working on Computer Science Applications, Physical Therapy, Sports Therapy and Rehabilitation and Health Informatics, having authored 44 papers that have together received 1.5k indexed citations. Recurring topics across this work include Online Learning and Analytics (11 papers), Cerebral Palsy and Movement Disorders (5 papers) and Balance, Gait, and Falls Prevention (5 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (178 citations), Computer Science Applications (153 citations) and Health Informatics (35 citations). Łukasz Kidziński has collaborated with scholars based in United States, Switzerland and Belgium. Frequent co-authors include Scott L. Delp, Jennifer L. Hicks, Pierre Dillenbourg, Michael Schwartz, Siegfried Hörmann, Marc Hallin, Apoorva Rajagopal, Scott D. Uhlrich, Luis P. Prieto and Garry E. Gold. Their work appears in journals such as Nature Medicine, Nature Communications and PLoS ONE.

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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