Daniel Giese

3.2k citations
91 papers · 2.4k · 2 hit papers · h-index 21

Impact in

Papers in

Daniel Giese

84 papers receiving 2.4k citations

Daniel Giese's Hit Papers

Medical students' attitude towards artificial intelligence: a multicentre survey 2018 · 515 citations
5150+3+7Years since publication200400600

Peers

Daniel Giese
Comparison fields: 5 of 120
  • Health Informatics 387
  • Radiology, Nuclear Medicine and Imaging 893
  • Cardiology and Cardiovascular Medicine 659
  • Pulmonary and Respiratory Medicine 410
  • General Dentistry 18
Replace Daniel Kim with:
Daniel Kim United States
Patrick Brennan Australia
Daiju Ueda Japan
William Parker Canada
George Shih United States
Robert Manka Switzerland
Ulrike Attenberger Germany
Cher Heng Tan Singapore
Sven Zuehlsdorff United States
William F. Auffermann United States
Daniel Giese relative to Daniel Kim United States Daniel Kim's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Giese

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Giese

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 91 papers — load more, or switch the sort, to bring in the rest.

#Work
1
4D flow cardiovascular magnetic resonance consensus statement
Hit paper breakdown →
2015646
2
Medical students' attitude towards artificial intelligence: a multicentre survey
Hit paper breakdown →
2018515
3 2012121
4 201066
5 201566
6 201857
7 200956
8 201150
9 201247
10 201446
11 201943
12 202043
13 201242
14 201742
15 201339
16 200235
17 201631
18 201427
19 202324
20 200022

About Daniel Giese

Daniel Giese is a scholar working on Radiology, Nuclear Medicine and Imaging, Cardiology and Cardiovascular Medicine, Pulmonary and Respiratory Medicine, Surgery and Atomic and Molecular Physics, and Optics, having authored 91 papers that have together received 2.4k indexed citations. Recurring topics across this work include Advanced MRI Techniques and Applications (43 papers), Cardiac Imaging and Diagnostics (17 papers), Cardiovascular Function and Risk Factors (16 papers), Cardiac Valve Diseases and Treatments (13 papers), Aortic Disease and Treatment Approaches (6 papers), MRI in cancer diagnosis (4 papers), Atomic and Subatomic Physics Research (4 papers) and Coronary Interventions and Diagnostics (4 papers). The work is most often cited by research in Health Informatics (387 citations), Radiology, Nuclear Medicine and Imaging (893 citations), Cardiology and Cardiovascular Medicine (659 citations), Pulmonary and Respiratory Medicine (410 citations) and General Dentistry (18 citations). Daniel Giese has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Sebastian Kozerke, David Maintz, Bettina Baeßler, Tobias Schaeffter, Daniel Pinto dos Santos, Sebastian Brodehl, Robert Kleinert, Wieland Staab, Seung‐Hun Chon and Michael Markl. Their work appears in journals such as Journal of Cardiovascular Magnetic Resonance, Magnetic Resonance in Medicine, Journal of Magnetic Resonance Imaging, Magnetic Resonance Imaging and European 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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