Martin Binder
- Artificial Intelligence top 10%
- Molecular Biology
- Environmental Engineering
- Electrical and Electronic Engineering
- Ecology
- Co-authors
- Bernd BischlMichel LangStefan CoorsJakob RichterTobias PielokJanek ThomasDifan DengMarc Becker
- Topics
- Machine Learning and Data Classification (5 papers)Machine Learning in Bioinformatics (3 papers)Advanced Multi-Objective Optimization Algorithms (3 papers)
- Journals
- IEEE Transactions on Evolutionary ComputationJournal of Machine Learning ResearchCommunications Biology
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Martin Binder
9 papers receiving 673 citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Artificial Intelligence 190
- Molecular Biology 69
- Environmental Engineering 60
- Electrical and Electronic Engineering 58
- Ecology 42
Countries citing papers authored by Martin Binder
This map shows the geographic impact of Martin Binder'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 Martin Binder with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martin Binder more than expected).
Fields of papers citing papers by Martin Binder
This network shows the impact of papers produced by Martin Binder. 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 Martin Binder. The network helps show where Martin Binder may publish in the future.
Co-authorship network of co-authors of Martin Binder
This figure shows the co-authorship network connecting the top 25 collaborators of Martin Binder. A scholar is included among the top collaborators of Martin Binder 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 Martin Binder. Martin Binder is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 36 | |
| 3 | Hyperparameter optimization: Foundations, algorithms, best practices, and open challengesbreakdown → | 398 |
| 4 | 9 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | mlr3pipelines - Flexible Machine Learning Pipelines in R | 9 |
| 8 | Preprocessing Operators and Pipelines for 'mlr3' [R package mlr3pipelines version 0.3.6-1] | 1 |
| 9 | 235 | |
| 10 | Comparison of neural networks and statistical methods in melanoma classification | 2 |
About Martin Binder
Martin Binder is a scholar working on Computational Theory and Mathematics, Artificial Intelligence and Signal Processing, having authored 10 papers that have together received 693 indexed citations. Recurring topics across this work include Machine Learning and Data Classification (5 papers), Machine Learning in Bioinformatics (3 papers) and Advanced Multi-Objective Optimization Algorithms (3 papers). The work is most often cited by research in Artificial Intelligence (190 citations), Health Informatics (8 citations) and Environmental Engineering (60 citations). Martin Binder has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Bernd Bischl, Michel Lang, Stefan Coors, Jakob Richter, Tobias Pielok, Janek Thomas, Difan Deng, Marc Becker, Marius Lindauer and Theresa Ullmann. Their work appears in journals such as IEEE Transactions on Evolutionary Computation, Journal of Machine Learning Research and Communications Biology.
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.