Remo Mueller

1.3k citations
8 papers · 823 indexed · 1 hit paper · h-index 5

Remo Mueller

8 papers receiving 816 citations

Hit Papers

The National Sleep Research Resource: towards a sleep dat...5282018202620202023100200300400500

Peers

Remo Mueller
Comparison fields: 5 of 74
  • Experimental and Cognitive Psychology 285
  • Cognitive Neuroscience 410
  • Endocrine and Autonomic Systems 141
  • Physiology 378
  • Signal Processing 81
Replace Shiqiang Tao with:
Shiqiang Tao United States
Daniel Mobley United States
Diego Álvarez-Estévez Spain
Dennis A. Dean United States
Şebnem Yosunkaya Türkiye
Erdenebayar Urtnasan South Korea
Guanzheng Liu China
Martín O. Méndez Italy
Ignacio Perez-Pozuelo United Kingdom
Jong-Uk Park South Korea
Remo Mueller relative to Shiqiang Tao United States Shiqiang Tao's profile →
Citations per field
00.5×1.6×
Shiqiang Tao · 1×
Citations per year

Countries citing papers authored by Remo Mueller

Since Specialization
Citations

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

Fields of papers citing papers by Remo Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 17 scholars most cited alongside Remo Mueller, 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 Remo Mueller Line = papers co-authored together Remo Mueller links everyone, so they are left out of the graph.

All Works

8 of 8 papers shown
#Work
1 201813
2 20188
3
The National Sleep Research Resource: towards a sleep data commonsbreakdown →
2018528
4 2016224
5 20132
6
Ontology-driven Data Integration for Clinical Sleep Research
20112
7
VISAGE: A Query Interface for Clinical Research.
201045
8 20091

About Remo Mueller

Remo Mueller is a scholar working on Signal Processing, Management Science and Operations Research, Artificial Intelligence, Experimental and Cognitive Psychology and Physiology, having authored 8 papers that have together received 823 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (3 papers), Time Series Analysis and Forecasting (3 papers), Obstructive Sleep Apnea Research (2 papers), Biomedical Text Mining and Ontologies (2 papers), Data Quality and Management (2 papers), Metabolomics and Mass Spectrometry Studies (1 paper), Rough Sets and Fuzzy Logic (1 paper) and Nutritional Studies and Diet (1 paper). The work is most often cited by research in Experimental and Cognitive Psychology (285 citations), Cognitive Neuroscience (410 citations), Endocrine and Autonomic Systems (141 citations), Physiology (378 citations) and Signal Processing (81 citations). Remo Mueller has collaborated with scholars based in United States. Frequent co-authors include Guo‐Qiang Zhang, Matthew Kim, Licong Cui, Susan Redline, Daniel Mobley, Michael Rueschman, Shiqiang Tao, Sara Mariani, Satya S. Sahoo and Ary L. Goldberger. Their work appears in journals such as BMC Medical Informatics and Decision Making, Journal of the American Medical Informatics Association, SLEEP, OhioLink ETD Center (Ohio Library and Information Network) and PubMed.

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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