Samuel Müller is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry.
According to data from OpenAlex, Samuel Müller has authored 3 papers receiving a total of 109 indexed citations (citations by other indexed papers that have themselves been cited), including 1 paper in Artificial Intelligence, 0 papers in Infectious Diseases and 0 papers in Organic Chemistry. Recurrent topics in Samuel Müller's work include Imbalanced Data Classification Techniques (1 paper), Machine Learning and Data Classification (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). Samuel Müller is often cited by papers focused on Imbalanced Data Classification Techniques (1 paper), Machine Learning and Data Classification (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). Samuel Müller collaborates with scholars based in United Kingdom and Germany. Samuel Müller's co-authors include Frank Hutter, Noah Hollmann, Lennart Purucker, Robin Tibor Schirrmeister, Frank Hutter and David Schnurr and has published in prestigious journals such as Nature and FreiDok plus (Universitätsbibliothek Freiburg).
In The Last Decade
Samuel Müller
3 papers
receiving
106 citations
Hit Papers
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.
Accurate predictions on small data with a tabular foundation model
2025106 citationsNoah Hollmann, Samuel Müller et al.Natureprofile →
This map shows the geographic impact of Samuel Müller'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 Samuel Müller with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Müller more than expected).
This network shows the impact of papers produced by Samuel Müller. 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 Samuel Müller. The network helps show where Samuel Müller may publish in the future.
Co-authorship network of co-authors of Samuel Müller
This figure shows the co-authorship network connecting the top 25 collaborators of Samuel Müller.
A scholar is included among the top collaborators of Samuel Müller 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 Samuel Müller. Samuel Müller is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
All Works
3 of 3 papers shown
#
Work
Indexed citations
1
Accurate predictions on small data with a tabular foundation model breakdown →
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.