Marc Becker

15 papers receiving 485 citations

Marc Becker's Hit Papers

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges 2023 · 398 citations
3980+1+2Years since publication100200300

Peers

Marc Becker
Comparison fields: 5 of 138
  • Process Chemistry and Technology 36
  • Health Informatics 6
  • Artificial Intelligence 124
  • Environmental Engineering 38
  • Health Information Management 12
Replace Dinesh Mendhe with:
Dinesh Mendhe United States
Tongyan Li China
Habiba Abdelhalim United States
David Chung South Korea
Xingjun Zhang China
Qianyi Liu China
Chen Lyu China
Xiaoli Wang China
Zibo Wang China
Marc Becker relative to Dinesh Mendhe United States Dinesh Mendhe's profile →
Citations per field
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Citations per year

Countries citing papers authored by Marc Becker

Since Specialization
Citations

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

Fields of papers citing papers by Marc Becker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Marc Becker, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Marc Becker Line = papers co-authored together Marc Becker links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1
Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges
Hit paper breakdown →
2023398
2 200643
3 200513
4
José Carlos Mariátegui: An Anthology
201112
5 20038
6
SAGA Geoprocessing and Terrain Analysis [R package RSAGA version 1.3.0]
20187
7 20036
8 20024
9 20223
10 20033
11 20222
12
Intelligente Softwareagenten und betriebswirtschaftliche Anwendungsszenarien im Gesundheitswesen
20031
13
ArcGIS Geoprocessing via Python [R package RPyGeo version 1.0.0]
20181
14 19661
15 20021

About Marc Becker

Marc Becker is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Artificial Intelligence, Computational Theory and Mathematics and Electrical and Electronic Engineering, having authored 15 papers that have together received 503 indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (4 papers), EEG and Brain-Computer Interfaces (2 papers), Machine Learning and Data Classification (2 papers), Metaheuristic Optimization Algorithms Research (2 papers), Advanced Multi-Objective Optimization Algorithms (2 papers), Advanced Memory and Neural Computing (2 papers), Decision-Making and Behavioral Economics (1 paper) and Insect and Arachnid Ecology and Behavior (1 paper). The work is most often cited by research in Process Chemistry and Technology (36 citations), Health Informatics (6 citations), Artificial Intelligence (124 citations), Environmental Engineering (38 citations) and Health Information Management (12 citations). Marc Becker has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Bernd Bischl, Anne‐Laure Boulesteix, Jakob Richter, Michel Lang, Theresa Ullmann, Janek Thomas, Tobias Pielok, Difan Deng, Martin Binder and Stefan Coors. Their work appears in journals such as Dalton Transactions, Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery, Die Naturwissenschaften, IEEE Transactions on Evolutionary Computation and Ecology and Society.

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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