Christopher Deible

1.1k citations
24 papers · 808 · h-index 15

Impact in

Papers in

Christopher Deible

23 papers receiving 795 citations

Peers

Christopher Deible
Comparison fields: 5 of 98
  • Cardiology and Cardiovascular Medicine 407
  • Health Informatics 15
  • Pulmonary and Respiratory Medicine 340
  • Radiology, Nuclear Medicine and Imaging 194
  • Molecular Medicine 35
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Citations per field
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Citations per year

Countries citing papers authored by Christopher Deible

Since Specialization
Citations

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

Fields of papers citing papers by Christopher Deible

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2014226
2 199682
3 201355
4 200749
5 200745
6 199843
7 201336
8 200936
9 200935
10 199932
11 202031
12 201425
13
Kardiyak BT anjiyografik görüntülemenin epidemiyolojik bir çali{dotless}şmada kullani{dotless}mi{dotless} - "The Multicenter AIDS Cohort Study" kardioyovasküler alt çali{dotless}şmasi{dotless}ni{dotless}n metodolojisi
201325
14 201724
15 200219
16 202214
17 201311
18 20178
19 20144
20 20124

About Christopher Deible

Christopher Deible is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, Surgery and Internal Medicine, having authored 24 papers that have together received 808 indexed citations. Recurring topics across this work include COVID-19 diagnosis using AI (3 papers), Pulmonary Hypertension Research and Treatments (3 papers), Cardiovascular Function and Risk Factors (3 papers), Radiology practices and education (3 papers), Cardiac Imaging and Diagnostics (3 papers), Radiomics and Machine Learning in Medical Imaging (3 papers), Cardiac Arrhythmias and Treatments (2 papers) and Atrial Fibrillation Management and Outcomes (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (407 citations), Health Informatics (15 citations), Pulmonary and Respiratory Medicine (340 citations), Radiology, Nuclear Medicine and Imaging (194 citations) and Molecular Medicine (35 citations). Christopher Deible has collaborated with scholars based in United States, Japan and Israel. Frequent co-authors include Joan M. Lacomis, Alan J. Russell, William R. Wagner, Eric J. Beckman, Michael A. Mathier, Michael R. Pinsky, Marc A. Simon, Hunter C. Champion, Rebecca Vanderpool and Orly Goitein. Their work appears in journals such as Journal of Digital Imaging, Journal of Biomedical Materials Research, Journal of Thoracic Imaging, Radiology Artificial Intelligence and Journal of the American Chemical Society.

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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