Georg Neuhaus

887 total citations
36 papers, 585 citations indexed

About

Georg Neuhaus is a scholar working on Statistics and Probability, Finance and Artificial Intelligence. According to data from OpenAlex, Georg Neuhaus has authored 36 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Statistics and Probability, 8 papers in Finance and 8 papers in Artificial Intelligence. Recurrent topics in Georg Neuhaus's work include Statistical Methods and Inference (19 papers), Statistical Distribution Estimation and Applications (9 papers) and Probability and Risk Models (8 papers). Georg Neuhaus is often cited by papers focused on Statistical Methods and Inference (19 papers), Statistical Distribution Estimation and Applications (9 papers) and Probability and Risk Models (8 papers). Georg Neuhaus collaborates with scholars based in Germany, China and Hong Kong. Georg Neuhaus's co-authors include Li Zhu, Marie Hušková, Arnold Janssen, F.H. Ruymgaart, Jens‐Peter Kreiß, Lixing Zhu and Erhard Kremer and has published in prestigious journals such as Biometrics, The Annals of Statistics and Probability Theory and Related Fields.

In The Last Decade

Georg Neuhaus

34 papers receiving 497 citations

Peers

Georg Neuhaus
Comparison fields: 5 of 69
  • Statistics and Probability 472
  • Artificial Intelligence 160
  • Finance 137
  • Management Science and Operations Research 95
  • Statistics, Probability and Uncertainty 47
Replace M.C.A. van Zuijlen with:
M.C.A. van Zuijlen Netherlands
Emad‐Eldin A. A. Aly Canada
Wolfgang Wefelmeyer Germany
Lawrence A. Klimko United States
Steel T. Huang United States
Estáte V. Khmaladze New Zealand
Christopher C. Heyde Australia
Takemi Yanagimoto Japan
P. W. Millar United States
David John Scott Australia
M.C.A. van Zuijlen Netherlands View profile →
Citations per field, relative to Georg Neuhaus
Georg Neuhaus · 1×
Citations per year, relative to Georg Neuhaus
Georg Neuhaus · 1×

Countries citing papers authored by Georg Neuhaus

Since Specialization
Citations

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

Fields of papers citing papers by Georg Neuhaus

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Neuhaus

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Neuhaus. A scholar is included among the top collaborators of Georg Neuhaus 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 Neuhaus. Georg Neuhaus 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
# Work Indexed citations
1 1
2 18
3 13
4 29
5 5
6 63
7
Likelihood ratio rank tests for the two-sample problem with randomly censored data
1
8 9
9 13
10 7
11 20
12 8
13 1
14 0
15 1
16 8
17 33
18 39
19 3
20 169

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026