David Raunig

3.1k citations
40 papers · 1.6k · 1 hit paper · h-index 18

Impact in

Papers in

David Raunig

39 papers receiving 1.6k citations

David Raunig's Hit Papers

Metrology Standards for Quantitative Imaging Biomarkers 2015 · 304 citations
3040+3+7Years since publication100200300

Peers

David Raunig
Comparison fields: 5 of 111
  • Radiology, Nuclear Medicine and Imaging 555
  • Health Informatics 28
  • Cardiology and Cardiovascular Medicine 216
  • Psychiatry and Mental health 139
  • Hematology 107
Replace Matteo Ferro with:
Matteo Ferro Italy
Alexander Cavallaro Germany
Andrew M. Kahn United States
Quinn S. Wells United States
Alex S. F. Doney United Kingdom
Nehmé El-Hachem Canada
Silvia Riondino Italy
Carla H. van Gils Netherlands
Eric Yang United States
Jin Y. Jin United States
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Citations per field
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Citations per year

Countries citing papers authored by David Raunig

Since Specialization
Citations

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

Fields of papers citing papers by David Raunig

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 40 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Metrology Standards for Quantitative Imaging Biomarkers
Hit paper breakdown →
2015304
2 2014290
3 2012166
4 200396
5 201796
6 200491
7 200464
8 200858
9 201054
10 201050
11 201249
12 200247
13 201434
14 200133
15 201329
16 201024
17 200822
18 202121
19 202317
20 201614

About David Raunig

David Raunig is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology, Cardiology and Cardiovascular Medicine, Oncology and Statistics and Probability, having authored 40 papers that have together received 1.6k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (9 papers), MRI in cancer diagnosis (5 papers), Cardiac electrophysiology and arrhythmias (4 papers), Statistical Methods in Clinical Trials (4 papers), Hemophilia Treatment and Research (3 papers), Alzheimer's disease research and treatments (3 papers), Neuroscience and Neuropharmacology Research (3 papers) and Ion channel regulation and function (3 papers). The work is most often cited by research in Radiology, Nuclear Medicine and Imaging (555 citations), Health Informatics (28 citations), Cardiology and Cardiovascular Medicine (216 citations), Psychiatry and Mental health (139 citations) and Hematology (107 citations). David Raunig has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Lisa M. McShane, Marina Kondratovich, Daniel C. Sullivan, Richard L. Wahl, Anthony A. Fossa, Bradley T. Wyman, Elyse Katz, Erich P. Huang, Nancy A. Obuchowski and Alexander R. Guimarães. Their work appears in journals such as Alzheimer s & Dementia, Academic Radiology, Therapeutic Innovation & Regulatory Science, NeuroImage and Journal of Pharmacology and Experimental Therapeutics.

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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