Łukasz Kidziński

3.1k total citations · 3 hit papers
44 papers, 1.5k citations indexed

About

Łukasz Kidziński is a scholar working on Computer Science Applications, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Łukasz Kidziński has authored 44 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Science Applications, 9 papers in Artificial Intelligence and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Łukasz Kidziński's work include Online Learning and Analytics (11 papers), Cerebral Palsy and Movement Disorders (5 papers) and Balance, Gait, and Falls Prevention (5 papers). Łukasz Kidziński is often cited by papers focused on Online Learning and Analytics (11 papers), Cerebral Palsy and Movement Disorders (5 papers) and Balance, Gait, and Falls Prevention (5 papers). Łukasz Kidziński collaborates with scholars based in United States, Switzerland and Belgium. Łukasz Kidziński's 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 and has published in prestigious journals such as Nature Medicine, Nature Communications and PLoS ONE.

In The Last Decade

Łukasz Kidziński

43 papers receiving 1.5k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Deep neural networks enable quantitative movement analysis using single-camera videos

2020 187 citations Łukasz Kidziński, Jennifer L. Hicks et al. Nature Communications profile →
OpenCap: Human movement dynamics from smartphone videos

2023 133 citations Scott D. Uhlrich, Antoine Falisse et al. PLoS Computational Biology profile →
Spatially Segregated Macrophage Populations Predict Distinct Outcomes in Colon Cancer

2024 62 citations Magdalena Matusiak, John W. Hickey et al. Cancer Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Łukasz Kidziński United States	20	444	178	175	168	153	44	1.5k
Amaia Méndez Zorrilla Spain	18	682 1.5×	330 1.9×	317 1.8×	87 0.5×	67 0.4×	99	1.9k
Hanna Suominen Finland	28	341 0.8×	169 0.9×	80 0.5×	72 0.4×	14 0.1×	146	2.9k
Arnold Baca Austria	21	509 1.1×	174 1.0×	117 0.7×	13 0.1×	18 0.1×	125	1.4k
Alessandro Micarelli Italy	25	77 0.2×	95 0.5×	159 0.9×	34 0.2×	138 0.9×	147	1.9k
Christian Moro Australia	18	582 1.3×	7 0.0×	558 3.2×	167 1.0×	39 0.3×	82	1.8k
Daniel Novák Czechia	19	128 0.3×	13 0.1×	53 0.3×	211 1.3×	54 0.4×	90	1.4k
Roland Müller Switzerland	20	202 0.5×	118 0.7×	28 0.2×	14 0.1×	27 0.2×	41	1.1k
Friedrich Foerster Germany	27	365 0.8×	109 0.6×	372 2.1×	15 0.1×	6 0.0×	75	2.8k
Yao‐Jen Chang Taiwan	24	136 0.3×	101 0.6×	598 3.4×	137 0.8×	30 0.2×	98	2.1k

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

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20 of 20 papers shown

Matusiak, Magdalena, John W. Hickey, David G.P. van IJzendoorn, et al.. (2024). Spatially Segregated Macrophage Populations Predict Distinct Outcomes in Colon Cancer. Cancer Discovery. 14(8). 1418–1439. 62 indexed citations breakdown →

Uhlrich, Scott D., Antoine Falisse, Łukasz Kidziński, et al.. (2023). OpenCap: Human movement dynamics from smartphone videos. PLoS Computational Biology. 19(10). e1011462–e1011462. 133 indexed citations breakdown →

Kidziński, Łukasz, et al.. (2023). Smartphone videos of the sit-to-stand test predict osteoarthritis and health outcomes in a nationwide study. npj Digital Medicine. 6(1). 32–32. 28 indexed citations

Uhlrich, Scott D., Łukasz Kidziński, Amy Silder, et al.. (2022). Personalization improves the biomechanical efficacy of foot progression angle modifications in individuals with medial knee osteoarthritis. Journal of Biomechanics. 144. 111312–111312. 17 indexed citations

Uhlrich, Scott D., Łukasz Kidziński, Kevin A. Thomas, et al.. (2021). A neural network to predict the knee adduction moment in patients with osteoarthritis using anatomical landmarks obtainable from 2D video analysis. Osteoarthritis and Cartilage. 29(3). 346–356. 43 indexed citations

Dunn, Jessilyn, Łukasz Kidziński, Ryan Runge, et al.. (2021). Wearable sensors enable personalized predictions of clinical laboratory measurements. Nature Medicine. 27(6). 1105–1112. 143 indexed citations

Thomas, Kevin A., Łukasz Kidziński, Eni Halilaj, et al.. (2020). Automated Classification of Radiographic Knee Osteoarthritis Severity Using Deep Neural Networks. Radiology Artificial Intelligence. 2(2). e190065–e190065. 113 indexed citations

Kidziński, Łukasz, et al.. (2020). Deep neural networks enable quantitative movement analysis using single-camera videos. Nature Communications. 11(1). 4054–4054. 187 indexed citations breakdown →

O’Day, Johanna, Judy Syrkin‐Nikolau, Chioma Anidi, et al.. (2020). The turning and barrier course reveals gait parameters for detecting freezing of gait and measuring the efficacy of deep brain stimulation. PLoS ONE. 15(4). e0231984–e0231984. 29 indexed citations

10.

Sailani, M. Reza, Ahmed A. Metwally, Wenyu Zhou, et al.. (2020). Deep longitudinal multiomics profiling reveals two biological seasonal patterns in California. Nature Communications. 11(1). 4933–4933. 24 indexed citations

11.

Kidziński, Łukasz, Scott L. Delp, & Michael Schwartz. (2019). Automatic real-time gait event detection in children using deep neural networks. PLoS ONE. 14(1). e0211466–e0211466. 81 indexed citations

12.

Asselborn, Thibault, Thomas Gargot, Łukasz Kidziński, et al.. (2019). Reply: Limitations in the creation of an automatic diagnosis tool for dysgraphia. npj Digital Medicine. 2(1). 37–37. 1 indexed citations

13.

Kidziński, Łukasz, et al.. (2018). Automated staging of knee osteoarthritis severity using deep neural networks. Osteoarthritis and Cartilage. 26. S441–S441. 17 indexed citations

14.

Rajagopal, Apoorva, et al.. (2018). Estimating the effect size of surgery to improve walking in children with cerebral palsy from retrospective observational clinical data. Scientific Reports. 8(1). 16344–16344. 14 indexed citations

15.

Kidziński, Łukasz, Kshitij Sharma, Mina Shirvani Boroujeni, & Pierre Dillenbourg. (2016). On generalizability of MOOC models. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 406–411. 7 indexed citations

16.

Giannakos, Michail N., Demetrios G. Sampson, Łukasz Kidziński, & Abelardo Pardo. (2016). Enhancing video-based learning experience through smart environments and analytics. eSpace (Curtin University). 1579. 1–6. 3 indexed citations

17.

Boroujeni, Mina Shirvani, Łukasz Kidziński, & Pierre Dillenbourg. (2016). How employment constrains participation in MOOCs. Educational Data Mining. 638–639. 4 indexed citations

18.

Kidziński, Łukasz, et al.. (2016). Semi-Markov Model for Simulating MOOC Students.. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 358–363. 12 indexed citations

19.

Kidziński, Łukasz, et al.. (2015). Translating Head Motion into Attention - Towards Processing of Student’s Body-Language. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 320–326. 30 indexed citations

20.

Kidziński, Łukasz, Michail N. Giannakos, Demetrios G. Sampson, & Pierre Dillenbourg. (2015). A tutorial on machine learning in educational science. Infoscience (Ecole Polytechnique Fédérale de Lausanne). 6 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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