Jonas Mueller

4.2k citations
24 papers · 1.9k · 2 hit papers · h-index 12

Impact in

Papers in

Jonas Mueller

22 papers receiving 1.8k citations

Jonas Mueller's Hit Papers

ResNeSt: Split-Attention Networks 2022 · 701 citations
7010+3+6Years since publication200400600

Peers

Jonas Mueller
Comparison fields: 5 of 157
  • Computer Vision and Pattern Recognition 503
  • Artificial Intelligence 790
  • Media Technology 103
  • Emergency Medicine 69
  • Radiology, Nuclear Medicine and Imaging 157
Replace Ayyaz Hussain with:
Ayyaz Hussain Pakistan
Shenda Hong China
Minsu Cho South Korea
Jin Zhou China
Yuyin Zhou United States
Hongmin Cai China
Christopher Pal Canada
Jianjun Qian China
Christos N. Schizas Cyprus
Walter Romano Canada
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Citations per field
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Citations per year

Countries citing papers authored by Jonas Mueller

Since Specialization
Citations

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

Fields of papers citing papers by Jonas Mueller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonas 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 Jonas Mueller Line = papers co-authored together Jonas Mueller links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1
ResNeSt: Split-Attention Networks
Hit paper breakdown →
2022701
2
Siamese Recurrent Architectures for Learning Sentence Similarity
Hit paper breakdown →
2016624
3 2019109
4 2019105
5 2019102
6 201945
7 202239
8
Sequence to Better Sequence: Continuous Revision of Combinatorial Structures.
201736
9 202025
10 201925
11 202218
12 202012
13 202111
14 202410
15 202210
16 20219
17
Principal differences analysis: interpretable characterization of differences between distributions
20158
18
Unsupervised Text Style Transfer via Iterative Matching and Translation.
20195
19
Multimodal AutoML on Structured Tables with Text Fields
20213
20 20232

About Jonas Mueller

Jonas Mueller is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition, Surgery, Molecular Biology and General Health Professions, having authored 24 papers that have together received 1.9k indexed citations. Recurring topics across this work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers), Multimodal Machine Learning Applications (3 papers), Machine Learning and Data Classification (3 papers), Diabetes and associated disorders (2 papers), Single-cell and spatial transcriptomics (2 papers), Machine Learning and Algorithms (2 papers) and Cardiac Arrest and Resuscitation (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (503 citations), Artificial Intelligence (790 citations), Media Technology (103 citations), Emergency Medicine (69 citations) and Radiology, Nuclear Medicine and Imaging (157 citations). Jonas Mueller has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Alexander J. Smola, Mu Li, Tong He, Chongruo Wu, Hang Zhang, Zhongyue Zhang, Haibin Lin, Yue Sun, Yi Zhu and Zhi Zhang. Their work appears in journals such as Journal of General Internal Medicine, Bioinformatics, Journal of Critical Care, JAMA Cardiology and PLoS ONE.

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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