Alexandra Gráf

3.8k citations
120 papers · 2.6k indexed · h-index 25
Topics
Retinal Diseases and Treatments (15 papers)Statistical Methods in Clinical Trials (11 papers)Retinal Imaging and Analysis (11 papers)

In The Last Decade

Alexandra Gráf

110 papers receiving 2.5k citations

Peers

Alexandra Gráf
Comparison fields: 5 of 148
  • Cardiology and Cardiovascular Medicine 577
  • Surgery 545
  • Radiology, Nuclear Medicine and Imaging 367
  • Physiology 347
  • Orthopedics and Sports Medicine 299
Replace Günther Kundt with:
Günther Kundt Germany
Young‐Kyun Lee South Korea
Sue Pavitt United Kingdom
Jürgen Hoffmann Germany
Rudolf Seemann Austria
Young Jae Kim South Korea
Leon Lenchik United States
Jae Jun Lee South Korea
Joseph H. Schwab United States
Eric Sung United States
Alexandra Gráf relative to Günther Kundt Germany Günther Kundt's profile →
Citations per field
00.5×7.5×
Günther Kundt · 1×
Citations per year

Countries citing papers authored by Alexandra Gráf

Since Specialization
Citations

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

Fields of papers citing papers by Alexandra Gráf

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Alexandra Gráf

This figure shows the co-authorship network connecting the top 25 collaborators of Alexandra Gráf. A scholar is included among the top collaborators of Alexandra Gráf based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Alexandra Gráf. Alexandra Gráf is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 0
2 1
3 4
4 1
5 0
6 3
7 1
8 1
9 1
10 24
11 12
12 20
13 17
14 38
15 10
16 110
17 28
18 19
19 16
20 54

About Alexandra Gráf

Alexandra Gráf is a scholar working on Orthodontics, Ophthalmology and Statistics and Probability, having authored 120 papers that have together received 2.6k indexed citations. Recurring topics across this work include Retinal Diseases and Treatments (15 papers), Statistical Methods in Clinical Trials (11 papers) and Retinal Imaging and Analysis (11 papers). The work is most often cited by research in Orthodontics (230 citations), General Dentistry (74 citations) and Orthopedics and Sports Medicine (299 citations). Alexandra Gráf has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include Michael Quittan, Eva-Maria Strasser, Markus Praschak, Julia Mascherbauer, Diana Bonderman, Andreas Schedle, Susanne Binder, Christiane I. Falkner‐Radler, Péter Bauer and Martin Posch. Their work appears in journals such as Nature Communications, Journal of the American College of Cardiology and PLoS ONE.

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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