Georg Neuhaus

887 citations
36 papers · 585 indexed · h-index 13
Topics
Statistical Methods and Inference (19 papers)Statistical Distribution Estimation and Applications (9 papers)Probability and Risk Models (8 papers)
Partner nations
GermanyChinaHong Kong

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 Emad‐Eldin A. A. Aly with:
Emad‐Eldin A. A. Aly Canada
Wolfgang Wefelmeyer Germany
M.C.A. van Zuijlen Netherlands
Estáte V. Khmaladze New Zealand
Steel T. Huang United States
Albert Y. Lo United States
Tuan D. Pham United States
Marek Kanter United States
Alain Latour Canada
P. W. Millar United States
Georg Neuhaus relative to Emad‐Eldin A. A. Aly Canada Emad‐Eldin A. A. Aly's profile →
Citations per field
00.5×
Emad‐Eldin A. A. Aly · 1×
Citations per year

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
#WorkIndexed 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

About Georg Neuhaus

Georg Neuhaus is a scholar working on Statistics and Probability, Finance and Management Science and Operations Research, having authored 36 papers that have together received 585 indexed citations. Recurring topics across this work include Statistical Methods and Inference (19 papers), Statistical Distribution Estimation and Applications (9 papers) and Probability and Risk Models (8 papers). The work is most often cited by research in Statistics and Probability (472 citations), Finance (137 citations) and Management Science and Operations Research (95 citations). Georg Neuhaus has collaborated with scholars based in Germany, China and Hong Kong. Frequent co-authors include Li Zhu, Marie Hušková, Arnold Janssen, F.H. Ruymgaart, Jens‐Peter Kreiß, Lixing Zhu and Erhard Kremer. Their work appears in journals such as Biometrics, The Annals of Statistics and Probability Theory and Related Fields.

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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