David A. Langan

693 citations
19 papers · 478 · h-index 10

Impact in

Papers in

David A. Langan

18 papers receiving 445 citations

Peers

David A. Langan
Comparison fields: 5 of 60
  • Radiology, Nuclear Medicine and Imaging 233
  • Media Technology 64
  • Computer Vision and Pattern Recognition 130
  • Biomedical Engineering 216
  • Statistics and Probability 34
Replace Weili Shi with:
Weili Shi China
J.M.M. Anderson United States
Nils Papenberg Germany
Jeongtae Kim South Korea
G.E. Mailloux Canada
Subok Park United States
Sheshadri Thiruvenkadam United States
Dongsheng Jiang China
A. Zaccarin Canada
Stephan Didas Germany
David A. Langan relative to Weili Shi China Weili Shi's profile →
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Citations per year

Countries citing papers authored by David A. Langan

Since Specialization
Citations

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

Fields of papers citing papers by David A. Langan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David A. Langan. 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 David A. Langan. The network helps show where David A. Langan may publish in the future.

Co-authors

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

All Works

19 of 19 papers shown
#Work
1 1994124
2 199064
3 200960
4 200958
5 199844
6 201029
7 201628
8 201018
9 199213
10 20099
11 20056
12 19935
13 20105
14 20154
15 20154
16 20023
17 20093
18 20061
19 19890

About David A. Langan

David A. Langan is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Artificial Intelligence and Aerospace Engineering, having authored 19 papers that have together received 478 indexed citations. Recurring topics across this work include Advanced X-ray and CT Imaging (10 papers), Medical Imaging Techniques and Applications (8 papers), Advanced MRI Techniques and Applications (4 papers), Radiation Dose and Imaging (4 papers), Infrared Target Detection Methodologies (3 papers), Statistical Methods and Inference (3 papers), Bayesian Methods and Mixture Models (3 papers) and Cardiac Imaging and Diagnostics (2 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (233 citations), Media Technology (64 citations), Computer Vision and Pattern Recognition (130 citations), Biomedical Engineering (216 citations) and Statistics and Probability (34 citations). David A. Langan has collaborated with scholars based in United States and Spain. Frequent co-authors include J.W. Modestino, Jun Zhang, David S. Chan, Dan Xu, Jed D. Pack, Andrea Schmitz, Thomas Benson, Xiaoye Wu, Jun Zhang and Paul Licato. Their work appears in journals such as IEEE Transactions on Image Processing, Physics in Medicine and Biology, Lecture notes in computer science and Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE.

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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