Jonas Mueller

4.0k total citations · 2 hit papers
21 papers, 1.7k citations indexed

About

Jonas Mueller is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Emergency Medicine. According to data from OpenAlex, Jonas Mueller has authored 21 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 3 papers in Emergency Medicine. Recurrent topics in Jonas Mueller's work include Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Cardiac Arrest and Resuscitation (3 papers). Jonas Mueller is often cited by papers focused on Topic Modeling (7 papers), Natural Language Processing Techniques (6 papers) and Cardiac Arrest and Resuscitation (3 papers). Jonas Mueller collaborates with scholars based in United States, Switzerland and Germany. Jonas Mueller's co-authors include Alexander J. Smola, Mu Li, Tong He, Yi Zhu, Yue Sun, Zhongyue Zhang, Zhi Zhang, Hang Zhang, R. Manmatha and Haibin Lin and has published in prestigious journals such as Cell, Bioinformatics and PLoS ONE.

In The Last Decade

Jonas Mueller

20 papers receiving 1.6k citations

Hit Papers

ResNeSt: Split-Attention Networks 2016 2026 2019 2022 2022 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jonas Mueller United States 11 687 452 231 192 154 21 1.7k
Sabri Boughorbel Qatar 15 496 0.7× 302 0.7× 231 1.0× 36 0.2× 145 0.9× 46 1.6k
Shujun Huang China 19 297 0.4× 593 1.3× 535 2.3× 71 0.4× 204 1.3× 64 2.1k
Duncan Gillies United Kingdom 17 394 0.6× 383 0.8× 345 1.5× 160 0.8× 78 0.5× 70 1.6k
Saad Sadiq United States 10 495 0.7× 291 0.6× 78 0.3× 79 0.4× 83 0.5× 16 1.2k
José M. Jerez Spain 22 718 1.0× 240 0.5× 351 1.5× 48 0.3× 134 0.9× 71 1.9k
Pedro Henriques Abreu Portugal 20 895 1.3× 175 0.4× 131 0.6× 33 0.2× 270 1.8× 82 1.7k
Jaesung Lee South Korea 21 1.1k 1.6× 858 1.9× 321 1.4× 208 1.1× 53 0.3× 173 2.3k
Shenda Hong China 22 578 0.8× 340 0.8× 69 0.3× 35 0.2× 171 1.1× 100 2.2k
Tanveer Syeda-Mahmood United States 24 688 1.0× 946 2.1× 97 0.4× 80 0.4× 700 4.5× 143 2.4k

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-authorship network of co-authors of Jonas Mueller

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

All Works

20 of 20 papers shown
1.
Mueller, Jonas, Eréndira Rendón, Eva Dorschky, et al.. (2025). Advanced Millimeter Wave Radar-Based Human Pose Estimation Enabled by a Deep Learning Neural Network Trained With Optical Motion Capture Ground Truth Data. IEEE Journal of Microwaves. 5(2). 373–387.
2.
Mueller, Jonas, et al.. (2024). Quantifying Uncertainty in Answers from any Language Model and Enhancing their Trustworthiness. 5186–5200. 7 indexed citations
3.
Mueller, Jonas, Katharina Beck, Christoph R. Becker, et al.. (2023). The Disclosure of Bad News Over the Phone vs. in Person and its Association with Psychological Distress: a Systematic Review and Meta-Analysis. Journal of General Internal Medicine. 38(16). 3589–3603. 1 indexed citations
4.
Zhang, Hang, Chongruo Wu, Zhongyue Zhang, et al.. (2022). ResNeSt: Split-Attention Networks. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). 2735–2745. 629 indexed citations breakdown →
5.
Vincent, Alessia, Katharina Beck, Christoph Becker, et al.. (2022). Post-intensive care syndrome in out-of-hospital cardiac arrest patients: A prospective observational cohort study. PLoS ONE. 17(10). e0276011–e0276011. 17 indexed citations
6.
Amacher, Simon A., Christoph Becker, Katharina Beck, et al.. (2022). Long-term Survival After Out-of-Hospital Cardiac Arrest. JAMA Cardiology. 7(6). 633–633. 36 indexed citations
7.
Shi, Xingjian, et al.. (2021). Multimodal AutoML on Structured Tables with Text Fields. International Conference on Machine Learning. 3 indexed citations
8.
Becker, Christoph, Katharina Beck, Jonas Mueller, et al.. (2021). Activation of the kynurenine pathway predicts mortality and neurological outcome in cardiac arrest patients: A validation study. Journal of Critical Care. 67. 57–65. 9 indexed citations
9.
Mueller, Jonas, et al.. (2021). Deep Learning for Functional Data Analysis with Adaptive Basis Layers. arXiv (Cornell University). 11898–11908. 9 indexed citations
10.
Mueller, Jonas, Xingjian Shi, & Alexander J. Smola. (2020). Faster, Simpler, More Accurate. 3509–3510. 10 indexed citations
11.
Liu, Ge, Haoyang Zeng, Jonas Mueller, et al.. (2019). Antibody complementarity determining region design using high-capacity machine learning. Bioinformatics. 36(7). 2126–2133. 103 indexed citations
12.
Jin, Zhijing, et al.. (2019). Unsupervised Text Style Transfer via Iterative Matching and Translation.. arXiv (Cornell University). 5 indexed citations
13.
Shen, Tianxiao, Jonas Mueller, Regina Barzilay, & Tommi Jaakkola. (2019). Latent Space Secrets of Denoising Text-Autoencoders.. arXiv (Cornell University). 1 indexed citations
14.
Sharon, Nadav, Raghav Chawla, Jonas Mueller, et al.. (2019). A Peninsular Structure Coordinates Asynchronous Differentiation with Morphogenesis to Generate Pancreatic Islets. Cell. 176(4). 790–804.e13. 97 indexed citations
15.
Sharon, Nadav, Juerg Straubhaar, Jonas Mueller, et al.. (2019). Wnt Signaling Separates the Progenitor and Endocrine Compartments during Pancreas Development. Cell Reports. 27(8). 2281–2291.e5. 96 indexed citations
16.
Mueller, Jonas, Theresa Tondorf, Martina Gamp, et al.. (2019). Neuron-specific enolase (NSE) improves clinical risk scores for prediction of neurological outcome and death in cardiac arrest patients: Results from a prospective trial. Resuscitation. 142. 50–60. 43 indexed citations
17.
Jin, Zhijing, et al.. (2019). IMaT: Unsupervised Text Attribute Transfer via Iterative Matching and Translation. 3095–3107. 23 indexed citations
18.
Mueller, Jonas, David K. Gifford, & Tommi Jaakkola. (2017). Sequence to Better Sequence: Continuous Revision of Combinatorial Structures.. International Conference on Machine Learning. 2536–2544. 31 indexed citations
19.
Mueller, Jonas, et al.. (2016). Siamese Recurrent Architectures for Learning Sentence Similarity. Proceedings of the AAAI Conference on Artificial Intelligence. 30(1). 541 indexed citations breakdown →
20.
Mueller, Jonas & Tommi Jaakkola. (2015). Principal differences analysis: interpretable characterization of differences between distributions. DSpace@MIT (Massachusetts Institute of Technology). 28. 1702–1710. 7 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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