Marcel Wever

615 total citations
25 papers, 264 citations indexed

About

Marcel Wever is a scholar working on Artificial Intelligence, Information Systems and Computer Networks and Communications. According to data from OpenAlex, Marcel Wever has authored 25 papers receiving a total of 264 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Artificial Intelligence, 6 papers in Information Systems and 5 papers in Computer Networks and Communications. Recurrent topics in Marcel Wever's work include Machine Learning and Data Classification (15 papers), Machine Learning and Algorithms (10 papers) and Data Stream Mining Techniques (3 papers). Marcel Wever is often cited by papers focused on Machine Learning and Data Classification (15 papers), Machine Learning and Algorithms (10 papers) and Data Stream Mining Techniques (3 papers). Marcel Wever collaborates with scholars based in Germany, Colombia and Austria. Marcel Wever's co-authors include Felix Mohr, Eyke Hüllermeier, Heiko Hamann, Stefan Werner, Willem Waegeman, Bernard De Baets, Lennart Purucker, Kevin Tierney, Eneldo Loza Mencía and Joaquin Vanschoren and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Pattern Analysis and Machine Intelligence and Information Sciences.

In The Last Decade

Marcel Wever

22 papers receiving 244 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marcel Wever Germany	8	172	32	25	24	22	25	264
Fei Zheng China	7	162 0.9×	28 0.9×	23 0.9×	61 2.5×	16 0.7×	20	248
Adrian Groza Romania	9	99 0.6×	38 1.2×	9 0.4×	16 0.7×	16 0.7×	65	239
Augusto Júnio Guimarães Brazil	12	210 1.2×	19 0.6×	31 1.2×	31 1.3×	13 0.6×	23	308
Georg Krempl Germany	8	234 1.4×	38 1.2×	18 0.7×	26 1.1×	20 0.9×	14	301
Roy Wedge United States	2	162 0.9×	31 1.0×	41 1.6×	39 1.6×	17 0.8×	2	292
Ziyue Qiao China	8	173 1.0×	39 1.2×	24 1.0×	46 1.9×	11 0.5×	24	246
Vanessa Souza Araújo Brazil	12	189 1.1×	18 0.6×	25 1.0×	27 1.1×	11 0.5×	19	270
Prabhjot Kaur India	11	153 0.9×	41 1.3×	19 0.8×	50 2.1×	52 2.4×	48	294
César Mattos Brazil	9	72 0.4×	19 0.6×	14 0.6×	16 0.7×	23 1.0×	44	191
Micah J. Smith United States	5	109 0.6×	36 1.1×	20 0.8×	20 0.8×	6 0.3×	8	230

Countries citing papers authored by Marcel Wever

Since Specialization

Citations

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

Fields of papers citing papers by Marcel Wever

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcel Wever

This figure shows the co-authorship network connecting the top 25 collaborators of Marcel Wever. A scholar is included among the top collaborators of Marcel Wever 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 Marcel Wever. Marcel Wever 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

Bischl, Bernd, Giuseppe Casalicchio, Matthias Feurer, et al.. (2025). OpenML: Insights from 10 years and more than a thousand papers. Patterns. 6(7). 101317–101317. 1 indexed citations

Wever, Marcel, et al.. (2025). Information leakage detection through approximate Bayes-optimal prediction. Information Sciences. 719. 122419–122419.

Wever, Marcel, et al.. (2024). Hyperparameter optimization of two-branch neural networks in multi-target prediction. Applied Soft Computing. 165. 111957–111957. 3 indexed citations

Wever, Marcel, et al.. (2024). Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction. SHILAP Revista de lepidopterología. 2024.

Mohr, Felix, et al.. (2023). Towards Green Automated Machine Learning: Status Quo and Future Directions. Journal of Artificial Intelligence Research. 77. 427–457. 23 indexed citations

Wever, Marcel, et al.. (2023). A Survey of Methods for Automated Algorithm Configuration (Extended Abstract). 6964–6968.

Wever, Marcel, et al.. (2022). Algorithm selection on a meta level. Machine Learning. 112(4). 1253–1286. 8 indexed citations

Mohr, Felix & Marcel Wever. (2022). Naive automated machine learning. Machine Learning. 112(4). 1131–1170. 9 indexed citations

Mohr, Felix & Marcel Wever. (2021). Replacing the Ex-Def Baseline in AutoML by Naive AutoML. Open access LMU (Ludwid Maxmilian's Universitat Munchen). 2 indexed citations

10.

Wever, Marcel, et al.. (2021). Coevolution of remaining useful lifetime estimation pipelines for automated predictive maintenance. Proceedings of the Genetic and Evolutionary Computation Conference. 368–376. 10 indexed citations

11.

Wever, Marcel, et al.. (2021). AutoML for Multi-Label Classification: Overview and Empirical Evaluation. IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(9). 3037–3054. 53 indexed citations

12.

Wever, Marcel, et al.. (2019). Multioracle Coevolutionary Learning of Requirements Specifications from Examples in On-The-Fly Markets. Evolutionary Computation. 28(2). 165–193. 1 indexed citations

13.

Wever, Marcel, et al.. (2018). Algorithm Selection as Recommendation: From Collaborative Filtering to Dyad Ranking. 135–146. 3 indexed citations

14.

Wever, Marcel, Felix Mohr, & Eyke Hüllermeier. (2018). ML-Plan for Unlimited-Length Machine Learning Pipelines. International Conference on Machine Learning. 7 indexed citations

15.

Mohr, Felix, et al.. (2018). (WIP) Towards the Automated Composition of Machine Learning Services. 241–244. 6 indexed citations

16.

Mohr, Felix, et al.. (2018). Programmatic Task Network Planning. 3 indexed citations

17.

Wever, Marcel, Felix Mohr, & Eyke Hüllermeier. (2018). Ensembles of evolved nested dichotomies for classification. Proceedings of the Genetic and Evolutionary Computation Conference. 561–568. 3 indexed citations

18.

Mohr, Felix, Marcel Wever, & Eyke Hüllermeier. (2018). ML-Plan: Automated machine learning via hierarchical planning. Machine Learning. 107(8-10). 1495–1515. 88 indexed citations

19.

Wever, Marcel, et al.. (2018). Supporting the Cognitive Process in Annotation Tasks. 1 indexed citations

20.

Wever, Marcel, et al.. (2017). Active coevolutionary learning of requirements specifications from examples. Proceedings of the Genetic and Evolutionary Computation Conference. 1327–1334. 3 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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