Patrick Lang
Impact in
- Analytical Chemistry top 2%
- Spectroscopy and Chemometric Analyses
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- Cardiomyopathy and Myosin Studies
- Cardiovascular Function and Risk Factors
- Heart Failure Treatment and Management
- Cardiovascular Effects of Exercise
Papers in
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- Matrix Theory and Algorithms 5
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- Spectroscopy and Chemometric Analyses 10
- Co-authors
- John H. Kalivas (10 shared papers)Wolfgang A. Linke (6 shared papers)Sebastian Kötter (3 shared papers)John Locker (7 shared papers)Cris G. dos Remedios (2 shared papers)Elke Butt (2 shared papers)Martina Krüger (2 shared papers)Christian Andresen (2 shared papers)
- Journals
- Journal of Chemometrics (3 papers)Journal of Functional Analysis (3 papers)Journal of Mathematical Analysis and Applications (3 papers)Chemometrics and Intelligent Laboratory Systems (3 papers)International Urogynecology Journal (2 papers)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Patrick Lang
57 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 137
- Analytical Chemistry 219
- Cardiology and Cardiovascular Medicine 377
- Mathematical Physics 72
- Biophysics 44
- Statistics and Probability 55
Countries citing papers authored by Patrick Lang
This map shows the geographic impact of Patrick Lang'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 Lang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Patrick Lang more than expected).
Fields of papers citing papers by Patrick Lang
This network shows the impact of papers produced by Patrick Lang. 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 Lang. The network helps show where Patrick Lang may publish in the future.
Co-authors
The 25 scholars most cited alongside Patrick Lang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 341 | |
| 2 | 1992 | 93 | |
| 3 | 2014 | 88 | |
| 4 | 1996 | 79 | |
| 5 | 2013 | 62 | |
| 6 | 1996 | 40 | |
| 7 | 2009 | 39 | |
| 8 | 2011 | 38 | |
| 9 | 1990 | 36 | |
| 10 | 2016 | 35 | |
| 11 | 2013 | 33 | |
| 12 | 2009 | 25 | |
| 13 | 1989 | 25 | |
| 14 | 2017 | 24 | |
| 15 | 1998 | 24 | |
| 16 | 2012 | 22 | |
| 17 | 2013 | 16 | |
| 18 | 2017 | 14 | |
| 19 | 2004 | 13 | |
| 20 | 1988 | 12 |
About Patrick Lang
Patrick Lang is a scholar working on Computational Theory and Mathematics, Analytical Chemistry, Cardiology and Cardiovascular Medicine, Mathematical Physics and Endocrinology, Diabetes and Metabolism, having authored 62 papers that have together received 1.2k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (10 papers), Spectral Theory in Mathematical Physics (6 papers), Cardiomyopathy and Myosin Studies (6 papers), Model Reduction and Neural Networks (5 papers), Matrix Theory and Algorithms (5 papers), Force Microscopy Techniques and Applications (4 papers), Pelvic floor disorders treatments (4 papers) and Advanced Statistical Methods and Models (4 papers). The work is most often cited by research in Analytical Chemistry (219 citations), Cardiology and Cardiovascular Medicine (377 citations), Mathematical Physics (72 citations), Biophysics (44 citations) and Statistics and Probability (55 citations). Patrick Lang has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include John H. Kalivas, Wolfgang A. Linke, Sebastian Kötter, John Locker, Cris G. dos Remedios, Elke Butt, Martina Krüger, Christian Andresen, Margaret M. Redfield and Jon M. Sutter. Their work appears in journals such as Journal of Chemometrics, Journal of Functional Analysis, Journal of Mathematical Analysis and Applications, Chemometrics and Intelligent Laboratory Systems and International Urogynecology Journal.
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.