Hannes Leeb

1.8k total citations
29 papers, 900 citations indexed

About

Hannes Leeb is a scholar working on Statistics and Probability, Artificial Intelligence and Statistics, Probability and Uncertainty. According to data from OpenAlex, Hannes Leeb has authored 29 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Statistics and Probability, 8 papers in Artificial Intelligence and 4 papers in Statistics, Probability and Uncertainty. Recurrent topics in Hannes Leeb's work include Statistical Methods and Inference (16 papers), Statistical Methods and Bayesian Inference (9 papers) and Advanced Statistical Methods and Models (5 papers). Hannes Leeb is often cited by papers focused on Statistical Methods and Inference (16 papers), Statistical Methods and Bayesian Inference (9 papers) and Advanced Statistical Methods and Models (5 papers). Hannes Leeb collaborates with scholars based in Austria, United States and Australia. Hannes Leeb's co-authors include Benedikt M. Pötscher, Paul Kabaila, Stefan Wegenkittl, Alois Lametschwandtner, Bernd Minnich, Peter Hellekalek, Adityanand Guntuboyina, Yoshiharu Kurita, Danijel Kivaranovic and Makoto Matsumoto and has published in prestigious journals such as Journal of the American Statistical Association, Journal of Econometrics and Mathematics of Computation.

In The Last Decade

Hannes Leeb

27 papers receiving 862 citations

Peers

Hannes Leeb
Comparison fields: 5 of 125
  • Statistics and Probability 514
  • Economics and Econometrics 208
  • General Economics, Econometrics and Finance 139
  • Artificial Intelligence 137
  • Finance 86
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Citations per field, relative to Hannes Leeb
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Citations per year, relative to Hannes Leeb
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Countries citing papers authored by Hannes Leeb

Since Specialization
Citations

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

Fields of papers citing papers by Hannes Leeb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hannes Leeb

This figure shows the co-authorship network connecting the top 25 collaborators of Hannes Leeb. A scholar is included among the top collaborators of Hannes Leeb 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 Hannes Leeb. Hannes Leeb 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 6
3
Adaptive, Distribution-Free Prediction Intervals for Deep Networks
7
4 0
5 7
6 2
7 13
8 82
9 133
10 7
11 44
12 13
13 8
14 2
15 2
16 6
17 48
18 9
19 37
20
The Asymptotic Distribution of Diaphony in One Dimension
1

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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