Samuel Müller

494 citations
3 papers · 109 indexed · 1 hit paper · h-index 2
Topics
Imbalanced Data Classification Techniques (1 paper)Machine Learning and Data Classification (1 paper)Explainable Artificial Intelligence (XAI) (1 paper)
Journals
NatureFreiDok plus (Universitätsbibliothek Freiburg)
Partner nations
United KingdomGermany

In The Last Decade

Samuel Müller

3 papers receiving 106 citations

Hit Papers

Accurate predictions on small data with a tabular foundat...202520262025255075100

Peers

Samuel Müller
Comparison fields: 5 of 78
  • Artificial Intelligence 16
  • Radiology, Nuclear Medicine and Imaging 9
  • Materials Chemistry 8
  • Mechanical Engineering 6
  • Electrical and Electronic Engineering 6
Replace Lennart Purucker with:
Lennart Purucker Germany
Alazar Yeshitla India
V Kishore Ayyadevara
Vivek Miglani United States
Md. Abu Bakr Siddique Bangladesh
Naveen Arivazhagan India
Chengqi Deng China
Monalisa Nayak India
Łukasz Romaszko United Kingdom
Alexander Kalinovsky Belarus
Samuel Müller relative to Lennart Purucker Germany Lennart Purucker's profile →
Citations per field
00.5×1.5×
Lennart Purucker · 1×
Citations per year

Countries citing papers authored by Samuel Müller

Since Specialization
Citations

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).

Fields of papers citing papers by Samuel Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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
#WorkIndexed citations
1
Accurate predictions on small data with a tabular foundation modelbreakdown →
106
2 2
3 1

About Samuel Müller

Samuel Müller is a scholar working on Artificial Intelligence, Infectious Diseases and Organic Chemistry, having authored 3 papers that have together received 109 indexed citations. Recurring topics across this work include Imbalanced Data Classification Techniques (1 paper), Machine Learning and Data Classification (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). The work is most often cited by research in Fuel Technology (1 citation), Health Information Management (4 citations) and Health Informatics (1 citation). Samuel Müller has collaborated with scholars based in United Kingdom and Germany. Frequent co-authors include Frank Hutter, Noah Hollmann, Lennart Purucker, Robin Tibor Schirrmeister, Frank Hutter and David Schnurr. Their work appears in journals such as Nature and FreiDok plus (Universitätsbibliothek Freiburg).

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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