Remo Mueller

1.3k total citations · 1 hit paper
8 papers, 823 citations indexed

About

Remo Mueller is a scholar working on Molecular Biology, Signal Processing and Artificial Intelligence. According to data from OpenAlex, Remo Mueller has authored 8 papers receiving a total of 823 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Molecular Biology, 3 papers in Signal Processing and 3 papers in Artificial Intelligence. Recurrent topics in Remo Mueller's work include Semantic Web and Ontologies (3 papers), Time Series Analysis and Forecasting (3 papers) and Obstructive Sleep Apnea Research (2 papers). Remo Mueller is often cited by papers focused on Semantic Web and Ontologies (3 papers), Time Series Analysis and Forecasting (3 papers) and Obstructive Sleep Apnea Research (2 papers). Remo Mueller collaborates with scholars based in United States. Remo Mueller's 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 and has published in prestigious journals such as SLEEP, Journal of the American Medical Informatics Association and BMC Medical Informatics and Decision Making.

In The Last Decade

Remo Mueller

8 papers receiving 816 citations

Hit Papers

align trajectories

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.

The National Sleep Research Resource: towards a sleep data commons

2018 528 citations Guo‐Qiang Zhang, Licong Cui et al. Journal of the American Medical Informatics Association profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Remo Mueller United States	5	410	378	285	150	141	8	823
Daniel Mobley United States	6	425 1.0×	411 1.1×	292 1.0×	154 1.0×	167 1.2×	8	811
Shiqiang Tao United States	10	408 1.0×	296 0.8×	230 0.8×	122 0.8×	88 0.6×	37	860
Şebnem Yosunkaya Türkiye	14	299 0.7×	253 0.7×	114 0.4×	121 0.8×	96 0.7×	50	675
Diego Álvarez-Estévez Spain	15	231 0.6×	217 0.6×	104 0.4×	99 0.7×	73 0.5×	33	488
Martín O. Méndez Italy	16	434 1.1×	341 0.9×	176 0.6×	531 3.5×	97 0.7×	39	916
Guanzheng Liu China	13	293 0.7×	378 1.0×	158 0.6×	420 2.8×	41 0.3×	41	883
Chih‐En Kuo Taiwan	14	608 1.5×	155 0.4×	243 0.9×	175 1.2×	21 0.1×	33	833
Dennis A. Dean United States	9	215 0.5×	180 0.5×	189 0.7×	42 0.3×	143 1.0×	13	473
R.G. Mark United States	11	199 0.5×	240 0.6×	81 0.3×	365 2.4×	31 0.2×	21	725
Martín O. Méndez Mexico	13	254 0.6×	153 0.4×	62 0.2×	106 0.7×	58 0.4×	49	478

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 of co-authors of Remo Mueller

This figure shows the co-authorship network connecting the top 25 collaborators of Remo Mueller. A scholar is included among the top collaborators of Remo Mueller 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 Remo Mueller. Remo Mueller is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Cui, Licong, Matthew Kim, Remo Mueller, et al.. (2018). X-search: an open access interface for cross-cohort exploration of the National Sleep Research Resource. BMC Medical Informatics and Decision Making. 18(1). 99–99. 13 indexed citations

2.

Zhang, Guo‐Qiang, Licong Cui, Remo Mueller, et al.. (2018). The National Sleep Research Resource. 572–572. 8 indexed citations

3.

Zhang, Guo‐Qiang, Licong Cui, Remo Mueller, et al.. (2018). The National Sleep Research Resource: towards a sleep data commons. Journal of the American Medical Informatics Association. 25(10). 1351–1358. 528 indexed citations breakdown →

4.

Dean, Dennis A., Ary L. Goldberger, Remo Mueller, et al.. (2016). Scaling Up Scientific Discovery in Sleep Medicine: The National Sleep Research Resource. SLEEP. 39(5). 1151–1164. 224 indexed citations

5.

Cui, Licong, Remo Mueller, Satya S. Sahoo, & Guo‐Qiang Zhang. (2013). Querying Complex Federated Clinical Data Using Ontological Mapping and Subsumption Reasoning. 2. 351–360. 2 indexed citations

6.

Mueller, Remo. (2011). Ontology-driven Data Integration for Clinical Sleep Research. OhioLink ETD Center (Ohio Library and Information Network). 2 indexed citations

7.

Zhang, Guo‐Qiang, et al.. (2010). VISAGE: A Query Interface for Clinical Research.. PubMed. 2010. 76–80. 45 indexed citations

8.

Mueller, Remo, et al.. (2009). Towards "WYDIWYS" for MIMI using concept analysis. 91–97. 1 indexed citations

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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