Patrick M. Lang

1.8k citations
64 papers · 1.4k · h-index 18

Impact in

Papers in

Patrick M. Lang

58 papers receiving 1.3k citations

Peers

Patrick M. Lang
Comparison fields: 5 of 132
  • Cardiology and Cardiovascular Medicine 513
  • Analytical Chemistry 217
  • Biophysics 45
  • Mathematical Physics 72
  • Statistics and Probability 54
Replace ALESSANDRO BERTUZZI with:
ALESSANDRO BERTUZZI Italy
Deli Zhang China
Ming-Yi Lee Taiwan
Lingyu Li China
Tom O’Hara United States
Rachel Cavill Netherlands
Ramesh Chandra India
Hiroshi Toda Japan
Haitao Fan China
Colleen E. Clancy United States
Patrick M. Lang relative to ALESSANDRO BERTUZZI Italy ALESSANDRO BERTUZZI's profile →
Citations per field
00.5×5×10×15×21.7×
ALESSANDRO BERTUZZI · 1×
Citations per year

Countries citing papers authored by Patrick M. Lang

Since Specialization
Citations

This map shows the geographic impact of Patrick M. 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 M. 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 M. Lang more than expected).

Fields of papers citing papers by Patrick M. Lang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 64 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008351
2 2012101
3 201495
4 199292
5 201178
6 199678
7 201364
8 201141
9 199639
10 200939
11 201636
12 199036
13 201333
14 200925
15 199825
16 201724
17 198924
18 201222
19 201316
20 201714

About Patrick M. Lang

Patrick M. Lang is a scholar working on Analytical Chemistry, Computational Theory and Mathematics, Mathematical Physics, Cardiology and Cardiovascular Medicine and Numerical Analysis, having authored 64 papers that have together received 1.4k indexed citations. Recurring topics across this work include Spectroscopy and Chemometric Analyses (10 papers), Cardiomyopathy and Myosin Studies (8 papers), Spectral Theory in Mathematical Physics (6 papers), Model Reduction and Neural Networks (5 papers), Matrix Theory and Algorithms (5 papers), Advanced Statistical Methods and Models (4 papers), Force Microscopy Techniques and Applications (4 papers) and Pelvic floor disorders treatments (4 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (513 citations), Analytical Chemistry (217 citations), Biophysics (45 citations), Mathematical Physics (72 citations) and Statistics and Probability (54 citations). Patrick M. Lang has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include John H. Kalivas, Wolfgang Albrecht Linke, Sebastian Kötter, John Locker, Cris G. dos Remedios, Christian Andresen, Martina Krüger, Elke Butt, Margaret M. Redfield and Jon M. Sutter. Their work appears in journals such as Chemometrics and Intelligent Laboratory Systems, Journal of Chemometrics, Journal of Functional Analysis, Journal of Mathematical Analysis and Applications 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.

Explore authors with similar magnitude of impact