Patrick Schwab

1.5k total citations
64 papers, 754 citations indexed

About

Patrick Schwab is a scholar working on Condensed Matter Physics, Artificial Intelligence and Materials Chemistry. According to data from OpenAlex, Patrick Schwab has authored 64 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Condensed Matter Physics, 13 papers in Artificial Intelligence and 11 papers in Materials Chemistry. Recurrent topics in Patrick Schwab's work include Physics of Superconductivity and Magnetism (13 papers), Magnetic properties of thin films (9 papers) and Machine Learning in Healthcare (7 papers). Patrick Schwab is often cited by papers focused on Physics of Superconductivity and Magnetism (13 papers), Magnetic properties of thin films (9 papers) and Machine Learning in Healthcare (7 papers). Patrick Schwab collaborates with scholars based in Switzerland, Austria and Germany. Patrick Schwab's co-authors include D. Bäuerle, Walter Karlen, Stefan Bauer, W. Lang, Jürgen Hetzel, Uli Lemmer, Hans‐Jürgen Eisler, Leo Anthony Celi, Tobias Hepp and J. Heitz and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Nano Letters.

In The Last Decade

Patrick Schwab

58 papers receiving 728 citations

Peers

Countries citing papers authored by Patrick Schwab

Since Specialization

Citations

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

Fields of papers citing papers by Patrick Schwab

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Patrick Schwab

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

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	A multimodal multidomain multilingual medical foundation model for zero shot clinical diagnosis 2025 ·npj Digital Medicine ·Fenglin Liu, Li Zheng, Qingyu Yin, (unknown), (unknown), (unknown), Kim Branson, Patrick Schwab, Bing Yin, Xian Wu, (unknown), David A. Clifton	5
2	Sample Selection Bias in Machine Learning for Healthcare 2025 ·Vinod Kumar Chauhan, Lei Clifton, (unknown), Huiqi Lu, Kim Branson, Patrick Schwab, (unknown), David A. Clifton	1
3	A collaborative large language model for drug analysis 2025 ·Nature Biomedical Engineering ·Hongjian Zhou, Fenglin Liu, (unknown), Wenjun Zhang, Guowei Huang, Lei Clifton, David W. Eyre, (unknown), (unknown), Kim Branson, Patrick Schwab, Xian Wu, Yefeng Zheng, (unknown), David A. Clifton	0
4	Recombinant zoster vaccine and reduced risk of dementia: matched‐cohort study using large‐scale electronic health records and machine learning methodology 2024 ·Alzheimer s & Dementia ·Patrick Schwab, (unknown), (unknown), Maria Littmann, (unknown), Carolyn Buser‐Doepner, Andreas Georgiou, Max Horn, Sanjay Kumar, (unknown), (unknown), Cornelia M. van Duijn, Pascal Geldsetzer	2
5	Knowledge abstraction and filtering based federated learning over heterogeneous data views in healthcare 2024 ·npj Digital Medicine ·(unknown), Soheila Molaei, (unknown), Fenglin Liu, Andrew A. S. Soltan, Patrick Schwab, Kim Branson, David A. Clifton	3
6	Development of Predictive Models to Inform a Novel Risk Categorization Framework for Antibiotic Resistance in Escherichia coli–Caused Uncomplicated Urinary Tract Infection 2024 ·Clinical Infectious Diseases ·Ryan K. Shields, Wendy Y. Cheng, (unknown), (unknown), (unknown), (unknown), Ashish V. Joshi, Fanny S Mitrani-Gold, Patrick Schwab, (unknown), (unknown), (unknown), (unknown), (unknown), Jennifer Han, Richard Colgan	0
7	Addressing the unresolved challenge of quantifying skiing exposure—A proof of concept using smartphone sensors 2023 ·Frontiers in Sports and Active Living ·(unknown), Jörg Spörri, (unknown), Patrick Schwab, Walter Karlen	1
8	Unsupervised machine learning identifies distinct ALS molecular subtypes in post-mortem motor cortex and blood expression data 2023 ·Acta Neuropathologica Communications ·(unknown), Renata Kabiljo, (unknown), Ahmad Al Khleifat, Ashley Jones, Claire Troakes, Abigail L. Pfaff, John P. Quinn, Sulev Kõks, Richard Dobson, Patrick Schwab, Ammar Al‐Chalabi, Alfredo Iacoangeli	15
9	2838. Clinical Application and Validation of a Predictive Antimicrobial Resistance Risk Categorization Framework for Patients with Uncomplicated Urinary Tract Infection 2023 ·Open Forum Infectious Diseases ·Ryan K. Shields, Wendy Y. Cheng, (unknown), (unknown), (unknown), Ashish V. Joshi, Fanny S Mitrani-Gold, Patrick Schwab, (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Jennifer Han, Richard Colgan	1
10	Conditional generation of medical time series for extrapolation to underrepresented populations 2022 ·SHILAP Revista de lepidopterología ·(unknown), (unknown), Stefan Bauer, Patrick Schwab	9
11	Detection of diabetes from whole-body MRI using deep learning 2021 ·JCI Insight ·(unknown), Jürgen Machann, (unknown), Martin Heni, Patrick Schwab, (unknown), (unknown), Andreas L. Birkenfeld, Hans‐Ulrich Häring, Fritz Schick, Norbert Stefan, Andreas Fritsche, Hubert Preißl, Bernhard Schölkopf, Stefan Bauer, Róbert Wágner	13
12	Clinical Predictive Models for COVID-19: Systematic Study 2020 ·Journal of Medical Internet Research ·Patrick Schwab, (unknown), (unknown), Stefan Bauer	68
13	Capturing the Essence: Towards the Automated Generation of Transparent Behavior Models 2015 ·Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment ·Patrick Schwab, Helmut Hlavacs	6
14	Tailored Surface-Enhanced Raman Nanopillar Arrays Fabricated by Laser-Assisted Replication for Biomolecular Detection Using Organic Semiconductor Lasers 2014 ·ACS Nano ·Xin Liu, Sergei Lebedkin, Heino Besser, Wilhelm Pfleging, Stephan Prinz, (unknown), Patrick Schwab, Irina Nazarenko, Markus Guttmann, Manfred M. Kappes, Uli Lemmer	40
15	A NEW RUSSIAN WASTE MANAGEMENT INSTALLATION 2003 ·University of North Texas Digital Library (University of North Texas) ·(unknown), (unknown), (unknown), Patrick Schwab, (unknown), Paul H. Krumrine, (unknown), (unknown), (unknown)	1
16	Russian Containers for Transportation of Solid Radioactive Waste 2002 ·University of North Texas Digital Library (University of North Texas) ·(unknown), (unknown), (unknown), (unknown), (unknown), (unknown), (unknown), Patrick Schwab, (unknown)	1
17	Paraconductivity and excess Hall effect in epitaxialYBa2Cu3O7films induced by superconducting fluctuations 1994 ·Physical review. B, Condensed matter ·W. Lang, (unknown), Patrick Schwab, (unknown), D. Bäuerle	86
18	Patterning of YBCO films by excimer-laser ablation 1994 ·Applied Physics A ·(unknown), (unknown), Patrick Schwab, D. B�uerle, P. Šimon, (unknown)	12
19	Synthesis of YBa2-xSrxCu3O7-δ by pulsed-laser deposition 1993 ·Physica C Superconductivity ·Patrick Schwab, (unknown), (unknown), (unknown), D. Bäuerle	11
20	Superconducting fluctuations in YBaCuO thin films 1991 ·Physica C Superconductivity ·W. Lang, (unknown), (unknown), (unknown), (unknown), Patrick Schwab, (unknown), D. Bäuerle	9

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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