Wolfgang Hörmann

1.1k citations
51 papers · 608 indexed · h-index 14
Topics
Bayesian Methods and Mixture Models (15 papers)Stochastic processes and financial applications (12 papers)Algorithms and Data Compression (11 papers)
Partner nations
TürkiyeAustriaGermany

In The Last Decade

Wolfgang Hörmann

49 papers receiving 547 citations

Peers

Wolfgang Hörmann
Comparison fields: 5 of 85
  • Artificial Intelligence 212
  • Statistics and Probability 171
  • Finance 155
  • Management Science and Operations Research 98
  • Computational Theory and Mathematics 73
Replace Harald Luschgy with:
Harald Luschgy Germany
Christian Houdré United States
Josef Leydold Austria
Michel Ledoux France
Iosif Pinelis United States
V. Bentkus Lithuania
Siegfried Graf Germany
Friedrich Liese Germany
Eustasio del Barrio Spain
Steffen Dereich Germany
Wolfgang Hörmann relative to Harald Luschgy Germany Harald Luschgy's profile →
Citations per field
00.5×1.7×
Harald Luschgy · 1×
Citations per year

Countries citing papers authored by Wolfgang Hörmann

Since Specialization
Citations

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

Fields of papers citing papers by Wolfgang Hörmann

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wolfgang Hörmann

This figure shows the co-authorship network connecting the top 25 collaborators of Wolfgang Hörmann. A scholar is included among the top collaborators of Wolfgang Hörmann 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 Wolfgang Hörmann. Wolfgang Hörmann 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 6
2 0
3 1
4 7
5 16
6 2
7 2
8 1
9 5
10 8
11 1
12 1
13 140
14 1
15 54
16 14
17 17
18 9
19 13
20 1

About Wolfgang Hörmann

Wolfgang Hörmann is a scholar working on Finance, Numerical Analysis and Statistics and Probability, having authored 51 papers that have together received 608 indexed citations. Recurring topics across this work include Bayesian Methods and Mixture Models (15 papers), Stochastic processes and financial applications (12 papers) and Algorithms and Data Compression (11 papers). The work is most often cited by research in Statistics and Probability (171 citations), Finance (155 citations) and Numerical Analysis (62 citations). Wolfgang Hörmann has collaborated with scholars based in Türkiye, Austria and Germany. Frequent co-authors include Josef Leydold, Gerhard Derflinger, Refık Güllü, Michael A. Hauser and Peter Dalgaard. Their work appears in journals such as European Journal of Operational Research, Mathematics of Computation and Annals of Operations Research.

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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