Georg Langs

20.4k citations
225 papers · 9.9k · 7 hit papers · h-index 36

Impact in

Papers in

Georg Langs

217 papers receiving 9.8k citations

Georg Langs's Hit Papers

BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets 2020 · 349 citations
3490+3+6Years since publication4008001.2k

Peers

Georg Langs
Comparison fields: 5 of 197
  • Health Informatics 450
  • Radiology, Nuclear Medicine and Imaging 3.6k
  • Cognitive Neuroscience 2.6k
  • Ophthalmology 764
  • Artificial Intelligence 1.7k
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Ayman El‐Baz United States
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Citations per field
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Citations per year

Countries citing papers authored by Georg Langs

Since Specialization
Citations

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

Fields of papers citing papers by Georg Langs

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 225 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Situating the default-mode network along a principal gradient of macroscale cortical organization
Hit paper breakdown →
20161348
2
Introduction to Radiomics
Hit paper breakdown →
20201141
3
Causability and explainability of artificial intelligence in medicine
Hit paper breakdown →
2019979
4
f-AnoGAN: Fast unsupervised anomaly detection with generative adversarial networks
Hit paper breakdown →
2019872
5
Fully Automated Detection and Quantification of Macular Fluid in OCT Using Deep Learning
Hit paper breakdown →
2017433
6 2015353
7
BrainSpace: a toolbox for the analysis of macroscale gradients in neuroimaging and connectomics datasets
Hit paper breakdown →
2020349
8
Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem
Hit paper breakdown →
2020338
9 1991160
10 2020150
11 2017140
12 2017135
13 2010133
14 2020131
15 2014105
16 2019102
17 201588
18 202087
19 201587
20 201978

About Georg Langs

Georg Langs is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition, Cognitive Neuroscience, Artificial Intelligence and Biomedical Engineering, having authored 225 papers that have together received 9.9k indexed citations. Recurring topics across this work include Medical Image Segmentation Techniques (29 papers), Functional Brain Connectivity Studies (27 papers), Advanced Neuroimaging Techniques and Applications (24 papers), Radiomics and Machine Learning in Medical Imaging (23 papers), Retinal Imaging and Analysis (21 papers), AI in cancer detection (18 papers), Neonatal and fetal brain pathology (17 papers) and Image Retrieval and Classification Techniques (17 papers). The work is most often cited by research in Health Informatics (450 citations), Radiology, Nuclear Medicine and Imaging (3.6k citations), Cognitive Neuroscience (2.6k citations), Ophthalmology (764 citations) and Artificial Intelligence (1.7k citations). Georg Langs has collaborated with scholars based in Austria, United States and Germany. Frequent co-authors include Ursula Schmidt‐Erfurth, Sebastian M. Waldstein, Thomas Schlegl, Heimo Müller, Helmut Denk, Andreas Holzinger, Kurt Zatloukal, Philipp Seeböck, Ida Häggström and Gary Cook. Their work appears in journals such as NeuroImage, European Radiology, Investigative Ophthalmology & Visual Science, Cerebral Cortex and European Journal of Radiology.

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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