Remo Mueller

1.3k citations
9 papers · 901 · 1 hit paper · h-index 5

Impact in

Papers in

Remo Mueller

9 papers receiving 895 citations

Remo Mueller's Hit Papers

The National Sleep Research Resource: towards a sleep data commons 2018 · 574 citations
5740+2+5Years since publication100200300400500

Peers

Remo Mueller
Comparison fields: 5 of 70
  • Cognitive Neuroscience 350
  • Experimental and Cognitive Psychology 239
  • Physiology 352
  • Endocrine and Autonomic Systems 79
  • Signal Processing 75
Replace Shiqiang Tao with:
Shiqiang Tao United States
Daniel Mobley United States
Şebnem Yosunkaya Türkiye
Diego Álvarez-Estévez Spain
Erdenebayar Urtnasan South Korea
Martín O. Méndez Italy
Stanislas Chambon France
Jong-Uk Park South Korea
R.G. Mark United States
Arnaud Moreau Netherlands
Remo Mueller relative to Shiqiang Tao United States Shiqiang Tao's profile →
Citations per field
00.5×1.5×1.8×
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-authors

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

9 of 9 papers shown
#Work
1
The National Sleep Research Resource: towards a sleep data commons
Hit paper breakdown →
2018574
2 2016247
3
VISAGE: A Query Interface for Clinical Research.
201050
4 201813
5 20188
6
Ontology-driven Data Integration for Clinical Sleep Research
20113
7 20092
8 20132
9 20092

About Remo Mueller

Remo Mueller is a scholar working on Artificial Intelligence, Molecular Biology, Information Systems, Management Science and Operations Research and Sociology and Political Science, having authored 9 papers that have together received 901 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (3 papers), Data Quality and Management (2 papers), Biomedical Text Mining and Ontologies (2 papers), Rough Sets and Fuzzy Logic (1 paper), Web Applications and Data Management (1 paper), Web Data Mining and Analysis (1 paper), Access Control and Trust (1 paper) and Sleep and related disorders (1 paper). The work is most often cited by research in Cognitive Neuroscience (350 citations), Experimental and Cognitive Psychology (239 citations), Physiology (352 citations), Endocrine and Autonomic Systems (79 citations) and Signal Processing (75 citations). Remo Mueller has collaborated with scholars based in United States. Frequent co-authors include Guo‐Qiang Zhang, Matthew Kim, Licong Cui, Susan Redline, Michael Rueschman, Daniel Mobley, Shiqiang Tao, Sara Mariani, Satya S. Sahoo and Dennis A. Dean. Their work appears in journals such as Journal of the American Medical Informatics Association, SLEEP, BMC Medical Informatics and Decision Making, Lecture notes in business information processing and OhioLink ETD Center (Ohio Library and Information Network).

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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