Diana Ackermann

890 citations
14 papers · 685 indexed · h-index 10

Impact in

Papers in

Diana Ackermann

13 papers receiving 671 citations

Peers

Diana Ackermann
Comparison fields: 5 of 97
  • Internal Medicine 52
  • Nephrology 96
  • Statistics and Probability 82
  • Cardiology and Cardiovascular Medicine 194
  • Radiology, Nuclear Medicine and Imaging 156
Replace Stephanie H. Dunlap with:
Stephanie H. Dunlap United States
Asim Mohammed United States
Oren Levine Canada
Robert H. Tuttle United States
Nestor Mercado United States
Ann Lovett United States
Martha R. Stroud United States
Sergio Buccheri Italy
H Baum Germany
Bertil Lindahl Sweden
Diana Ackermann relative to Stephanie H. Dunlap United States Stephanie H. Dunlap's profile →
Citations per field
00.5×3.5×
Stephanie H. Dunlap · 1×
Citations per year

Countries citing papers authored by Diana Ackermann

Since Specialization
Citations

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

Fields of papers citing papers by Diana Ackermann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 20260
2 201458
3 2013113
4
Design and rationale of GLORIA-AF: A Global Registry Program on Long- Term Oral Antithrombotic Treatment in Patients with Atrial Fibrillation
20131
5 2013227
6 20111
7 201018
8 201010
9 2009114
10 200935
11 200937
12 200914
13 20083
14 200854

About Diana Ackermann

Diana Ackermann is a scholar working on Nephrology, Cardiology and Cardiovascular Medicine, Statistics and Probability, Pathology and Forensic Medicine and Economics and Econometrics, having authored 14 papers that have together received 685 indexed citations. Recurring topics across this work include Atrial Fibrillation Management and Outcomes (4 papers), Cardiac Arrhythmias and Treatments (3 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Cardiovascular Function and Risk Factors (2 papers), Advanced X-ray and CT Imaging (2 papers), Statistical Methods and Bayesian Inference (1 paper), Air Quality and Health Impacts (1 paper) and Global Cancer Incidence and Screening (1 paper). The work is most often cited by research in Internal Medicine (52 citations), Nephrology (96 citations), Statistics and Probability (82 citations), Cardiology and Cardiovascular Medicine (194 citations) and Radiology, Nuclear Medicine and Imaging (156 citations). Diana Ackermann has collaborated with scholars based in Germany, Netherlands and United Kingdom. Frequent co-authors include Dorothee B. Bartels, Sebastian Schneeweiß, Jessica M. Franklin, Jeremy A. Rassen, Andreas Clemens, Cédric Plumhans, Florian F. Behrendt, Andreas H. Mahnken, Sebastian Keil and Georg Mühlenbruch. Their work appears in journals such as Journal of Nephrology, Scientific Reports, BMJ Open, Investigative Radiology 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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