Michel Lang

3.2k total citations · 2 hit papers
39 papers, 1.7k citations indexed

About

Michel Lang is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Michel Lang has authored 39 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Artificial Intelligence, 8 papers in Molecular Biology and 4 papers in Computational Theory and Mathematics. Recurrent topics in Michel Lang's work include Machine Learning and Data Classification (14 papers), Gene expression and cancer classification (7 papers) and Data Analysis with R (6 papers). Michel Lang is often cited by papers focused on Machine Learning and Data Classification (14 papers), Gene expression and cancer classification (7 papers) and Data Analysis with R (6 papers). Michel Lang collaborates with scholars based in Germany, United States and United Kingdom. Michel Lang's co-authors include Bernd Bischl, Jörg Rahnenführer, Andrea Bommert, Xudong Sun, Jakob Richter, Martin Binder, Stefan Coors, Lars Kotthoff, Giuseppe Casalicchio and Tobias Pielok and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Michel Lang

37 papers receiving 1.6k 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.

Benchmark for filter methods for feature selection in high-dimensional classification data

2019 458 citations Andrea Bommert, Xudong Sun et al. Computational Statistics & Data Analysis profile →
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

2023 398 citations Bernd Bischl, Martin Binder et al. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michel Lang Germany	14	545	263	123	111	99	39	1.7k
Tzu-Tsung Wong Taiwan	12	593 1.1×	207 0.8×	191 1.6×	78 0.7×	153 1.5×	19	2.2k
Laura Toloşi Germany	6	391 0.7×	258 1.0×	64 0.5×	55 0.5×	144 1.5×	10	2.0k
Erik Štrumbelj Slovenia	16	716 1.3×	102 0.4×	92 0.7×	81 0.7×	154 1.6×	39	2.2k
Francisco F. Rivera Spain	14	525 1.0×	121 0.5×	223 1.8×	123 1.1×	142 1.4×	89	1.9k
Niels Landwehr Germany	19	651 1.2×	153 0.6×	138 1.1×	72 0.6×	107 1.1×	45	1.9k
Chandan Singh India	11	661 1.2×	126 0.5×	167 1.4×	72 0.6×	85 0.9×	45	1.6k
Lars Kotthoff United States	11	859 1.6×	125 0.5×	154 1.3×	208 1.9×	113 1.1×	50	1.9k
David N. Reshef United States	6	508 0.9×	486 1.8×	171 1.4×	103 0.9×	159 1.6×	6	2.5k
Jiawei Luo China	15	720 1.3×	435 1.7×	265 2.2×	198 1.8×	101 1.0×	71	2.1k

Countries citing papers authored by Michel Lang

Since Specialization

Citations

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

Fields of papers citing papers by Michel Lang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michel Lang

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Schratz, Patrick, Marc Becker, Michel Lang, & Alexander Brenning. (2024). mlr3spatiotempcv: Spatiotemporal Resampling Methods for Machine Learning in R. Journal of Statistical Software. 111(7). 2 indexed citations

Eckert, Nicolas, Éric Rigolot, Thierry Caquet, et al.. (2023). Les risques environnementaux en 2020 : une feuille de route pour INRAE. Natures Sciences Sociétés. 31(3). 347–358.

Pielok, Tobias, Florian Pfisterer, Stefan Coors, et al.. (2023). Multi-Objective Hyperparameter Optimization in Machine Learning—An Overview. Fraunhofer-Publica (Fraunhofer-Gesellschaft). 3(4). 1–50. 36 indexed citations

Bischl, Bernd, Raphael Sonabend, Lars Kotthoff, & Michel Lang. (2023). Applied Machine Learning Using mlr3 in R. 16 indexed citations

Bischl, Bernd, Martin Binder, Michel Lang, et al.. (2023). Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges. Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery. 13(2). 398 indexed citations breakdown →

Binder, Martin, Florian Pfisterer, Marc Becker, et al.. (2022). Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers. IEEE Transactions on Evolutionary Computation. 26(6). 1336–1350. 2 indexed citations

Binder, Martin, et al.. (2021). mlr3pipelines - Flexible Machine Learning Pipelines in R. Journal of Machine Learning Research. 22(184). 1–7. 9 indexed citations

Binder, Martin, et al.. (2021). Preprocessing Operators and Pipelines for 'mlr3' [R package mlr3pipelines version 0.3.6-1]. 1 indexed citations

Lang, Michel, et al.. (2020). Cost-Constrained feature selection in binary classification: adaptations for greedy forward selection and genetic algorithms. BMC Bioinformatics. 21(1). 26–26. 14 indexed citations

10.

Sonabend, Raphael, Franz J. Király, Andreas Bender, Bernd Bischl, & Michel Lang. (2020). mlr3proba: Machine Learning Survival Analysis in R.. arXiv (Cornell University). 1 indexed citations

11.

Lang, Michel, Martin Binder, Jakob Richter, et al.. (2019). mlr3: A modern object-oriented machine learning framework in R. The Journal of Open Source Software. 4(44). 1903–1903. 235 indexed citations

12.

Bommert, Andrea, Xudong Sun, Bernd Bischl, Jörg Rahnenführer, & Michel Lang. (2019). Benchmark for filter methods for feature selection in high-dimensional classification data. Computational Statistics & Data Analysis. 143. 106839–106839. 458 indexed citations breakdown →

13.

Casalicchio, Giuseppe, Jakob Bossek, Michel Lang, et al.. (2019). OpenML: An R Package to Connect to the Networked Machine Learning Platform OpenML. Zurich Open Repository and Archive (University of Zurich).

14.

Lang, Michel, et al.. (2017). batchtools: Tools for R to work on batch systems. The Journal of Open Source Software. 2(10). 135–135. 39 indexed citations

15.

Lee, Sangkyun, Jörg Rahnenführer, Michel Lang, et al.. (2014). Robust Selection of Cancer Survival Signatures from High-Throughput Genomic Data Using Two-Fold Subsampling. PLoS ONE. 9(10). e108818–e108818. 6 indexed citations

16.

Bischl, Bernd, Michel Lang, Lars Kotthoff, et al.. (2013). mlr: Machine Learning in R. Journal of Machine Learning Research. 17(1). 5938–5942. 200 indexed citations

17.

Kammers, Kai, Michel Lang, Jan G. Hengstler, Marcus Schmidt, & Jörg Rahnenführer. (2011). Survival models with preclustered gene groups as covariates. BMC Bioinformatics. 12(1). 478–478. 13 indexed citations

18.

Lang, Michel & KJ Evans. (2010). EPIDEMIOLOGY AND STATUS OF WALNUT BLIGHT IN AUSTRALIA. Journal of Plant Pathology. 92(1). 17 indexed citations

19.

Lang, Michel, KJ Evans, & Sarah J. Pethybridge. (2010). TIMING BACTERICIDES STRATEGICALLY FOR MANAGEMENT OF WALNUT BLIGHT IN TASMANIA, AUSTRALIA. Acta Horticulturae. 465–472. 2 indexed citations

20.

Lang, Michel, et al.. (1999). The effect of flytrap site on catches in Lucitrap (R) flytraps in a cool temperate climate. eCite Digital Repository (University of Tasmania). 7 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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