Lucas Kook

486 total citations
18 papers, 266 citations indexed

About

Lucas Kook is a scholar working on Artificial Intelligence, Molecular Biology and Statistics and Probability. According to data from OpenAlex, Lucas Kook has authored 18 papers receiving a total of 266 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Artificial Intelligence, 5 papers in Molecular Biology and 5 papers in Statistics and Probability. Recurrent topics in Lucas Kook's work include Statistical Methods and Inference (5 papers), Statistical Methods and Bayesian Inference (2 papers) and Machine Learning in Healthcare (2 papers). Lucas Kook is often cited by papers focused on Statistical Methods and Inference (5 papers), Statistical Methods and Bayesian Inference (2 papers) and Machine Learning in Healthcare (2 papers). Lucas Kook collaborates with scholars based in Switzerland, Germany and United States. Lucas Kook's co-authors include Melanie Boerries, Christoph Borner, María Victoria Tuttolomondo, Martín F. Desimone, Marisa G. Repetto, Christian Saporito-Magriñá, Geoffroy Andrieux, Oliver Schilling, Matthias Fahrner and Klemens Fröhlich and has published in prestigious journals such as Nature Communications, Journal of the American Statistical Association and Stroke.

In The Last Decade

Lucas Kook

16 papers receiving 263 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lucas Kook Switzerland 8 88 56 55 43 34 18 266
Abigael C. J. Polley United Kingdom 7 128 1.5× 43 0.8× 45 0.8× 16 0.4× 13 0.4× 7 305
Andreas Wehinger Austria 10 122 1.4× 46 0.8× 102 1.9× 18 0.4× 39 1.1× 15 490
Keita Iwasaki Japan 10 135 1.5× 14 0.3× 9 0.2× 18 0.4× 18 0.5× 23 311
Guoping Sun China 7 90 1.0× 22 0.4× 27 0.5× 22 0.5× 14 0.4× 19 182
Jacob M. Berman Canada 5 80 0.9× 62 1.1× 4 0.1× 79 1.8× 11 0.3× 10 240
Clemens Müller Germany 7 133 1.5× 7 0.1× 8 0.1× 14 0.3× 10 0.3× 11 303
Ran Kremer Israel 10 135 1.5× 29 0.5× 33 0.6× 63 1.5× 10 0.3× 18 353
Ruchi Sharma United States 9 32 0.4× 13 0.2× 69 1.3× 33 0.8× 11 0.3× 20 317
Terri Phua Singapore 7 183 2.1× 62 1.1× 8 0.1× 23 0.5× 24 0.7× 7 339

Countries citing papers authored by Lucas Kook

Since Specialization
Citations

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

Fields of papers citing papers by Lucas Kook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lucas Kook

This figure shows the co-authorship network connecting the top 25 collaborators of Lucas Kook. A scholar is included among the top collaborators of Lucas Kook 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 Lucas Kook. Lucas Kook is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Kook, Lucas, et al.. (2024). Algorithm-agnostic significance testing in supervised learning with multimodal data. Briefings in Bioinformatics. 25(6).
2.
Kook, Lucas, et al.. (2024). Model-Based Causal Feature Selection for General Response Types. Journal of the American Statistical Association. 120(550). 1090–1101. 3 indexed citations
3.
Kook, Lucas, et al.. (2024). Estimating Conditional Distributions with Neural Networks Using R Package deeptrafo. Journal of Statistical Software. 111(10).
4.
5.
Kook, Lucas, et al.. (2023). Distribution-Free Location-Scale Regression. The American Statistician. 77(4). 345–356. 3 indexed citations
6.
7.
Kook, Lucas, Janne Hamann, Christoph Globas, et al.. (2023). Deep Learning Versus Neurologists: Functional Outcome Prediction in LVO Stroke Patients Undergoing Mechanical Thrombectomy. Stroke. 54(7). 1761–1769. 18 indexed citations
8.
Rügamer, David, Florian Pfisterer, Bernd Bischl, et al.. (2023). deepregression: A Flexible Neural Network Framework for Semi-Structured Deep Distributional Regression. Journal of Statistical Software. 105(2). 2 indexed citations
9.
Kook, Lucas, Beate Sick, & Peter Bühlmann. (2022). Distributional anchor regression. Statistics and Computing. 32(3). 39–39. 4 indexed citations
10.
Fröhlich, Klemens, Matthias Fahrner, Lucas Kook, et al.. (2022). Benchmarking of analysis strategies for data-independent acquisition proteomics using a large-scale dataset comprising inter-patient heterogeneity. Nature Communications. 13(1). 2622–2622. 60 indexed citations
11.
Kook, Lucas, Katrin Petermann, Janne Hamann, et al.. (2022). Deep transformation models for functional outcome prediction after acute ischemic stroke. Biometrical Journal. 65(6). e2100379–e2100379. 5 indexed citations
12.
Marmolejo‐Ramos, Fernando, Marek Brabec, Jakub Kužílek, et al.. (2022). Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 13(1). e1479–e1479. 16 indexed citations
13.
Kook, Lucas & Torsten Hothorn. (2021). Regularized Transformation Models: The tramnet Package. The R Journal. 13(1). 581–581. 3 indexed citations
14.
Fahrner, Matthias, Lucas Kook, Klemens Fröhlich, Martin L. Biniossek, & Oliver Schilling. (2021). A Systematic Evaluation of Semispecific Peptide Search Parameter Enables Identification of Previously Undescribed N-Terminal Peptides and Conserved Proteolytic Processing in Cancer Cell Lines. Proteomes. 9(2). 26–26. 12 indexed citations
15.
Kook, Lucas, et al.. (2020). Ordinal Neural Network Transformation Models: Deep and interpretable regression models for ordinal outcomes.. arXiv (Cornell University). 1 indexed citations
16.
Drendel, Vanessa, Christoph Schell, Lucas Kook, et al.. (2018). Proteomic distinction of renal oncocytomas and chromophobe renal cell carcinomas. Clinical Proteomics. 15(1). 25–25. 8 indexed citations
17.
Tzivelekidis, Tina, Juliane Vier, Melanie Börries, et al.. (2018). Infection of HeLa cells with Chlamydia trachomatis inhibits protein synthesis and causes multiple changes to host cell pathways. Cellular Microbiology. 21(4). e12993–e12993. 11 indexed citations
18.
Saporito-Magriñá, Christian, Geoffroy Andrieux, Lucas Kook, et al.. (2018). Copper-induced cell death and the protective role of glutathione: the implication of impaired protein folding rather than oxidative stress. Metallomics. 10(12). 1743–1754. 100 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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