Georg Heinze

27.1k citations
346 papers · 15.0k indexed · 5 hit papers · h-index 60
Topics
Statistical Methods and Inference (31 papers)Statistical Methods and Bayesian Inference (26 papers)Statistical Methods in Clinical Trials (24 papers)

In The Last Decade

Georg Heinze

341 papers receiving 14.6k citations

Hit Papers

A solution to the problem of separation in logistic regre...2002202620102018200220182016201320184008001.2k

Peers

Georg Heinze
Comparison fields: 5 of 226
  • Surgery 2.5k
  • Epidemiology 2.1k
  • Cardiology and Cardiovascular Medicine 1.9k
  • Pulmonary and Respiratory Medicine 1.8k
  • Molecular Biology 1.8k
Replace Hans C. van Houwelingen with:
Hans C. van Houwelingen Netherlands
Jason P. Fine United States
Milton C. Weinstein United States
Saskia le Cessie Netherlands
Kenneth J. Rothman United States
Aeilko H. Zwinderman Netherlands
Andrew J. Vickers United States
J. Jaime United States
Mark Sculpher United Kingdom
Thomas Perneger Switzerland
Georg Heinze relative to Hans C. van Houwelingen Netherlands Hans C. van Houwelingen's profile →
Citations per field
00.5×1.5×2.5×
Hans C. van Houwelingen · 1×
Citations per year

Countries citing papers authored by Georg Heinze

Since Specialization
Citations

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

Fields of papers citing papers by Georg Heinze

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Heinze

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Heinze. A scholar is included among the top collaborators of Georg Heinze 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 Georg Heinze. Georg Heinze 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 3
3 2
4 21
5 1
6 7
7 14
8 18
9 16
10 20
11 54
12 31
13 1
14 12
15
Steroid Pretreatment of Organ Donors to Prevent Postischemic Renal Allograft Failure
4
16 17
17 52
18 31
19 1
20 27

About Georg Heinze

Georg Heinze is a scholar working on Transplantation, Statistics and Probability and Acoustics and Ultrasonics, having authored 346 papers that have together received 15.0k indexed citations. Recurring topics across this work include Statistical Methods and Inference (31 papers), Statistical Methods and Bayesian Inference (26 papers) and Statistical Methods in Clinical Trials (24 papers). The work is most often cited by research in Internal Medicine (820 citations), Transplantation (566 citations) and Statistics and Probability (956 citations). Georg Heinze has collaborated with scholars based in Austria, Germany and United States. Frequent co-authors include M. Schemper, Daniela Dunkler, Christine Wallisch, Rainer Oberbauer, Peter Jüni, Paul A. Kyrle, Sabine Eichinger, Thomas Halfmann, Angelika Geroldinger and Karen Leffondré. Their work appears in journals such as Physical Review Letters, Circulation and Journal of Clinical Oncology.

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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