Ulrich Rieder

1.7k citations
43 papers · 996 indexed · h-index 14
Topics
Stochastic processes and financial applications (16 papers)Economic theories and models (14 papers)Advanced Queuing Theory Analysis (8 papers)
Partner nations
GermanyAustriaTaiwan

In The Last Decade

Ulrich Rieder

41 papers receiving 921 citations

Peers

Ulrich Rieder
Comparison fields: 5 of 80
  • Management Science and Operations Research 418
  • Finance 403
  • Economics and Econometrics 302
  • Artificial Intelligence 201
  • Control and Systems Engineering 136
Replace Manfred Schäl with:
Manfred Schäl Germany
Xin Guo United States
Nicole Bäuerle Germany
Альберт Николаевич Ширяев France
Rolando Cavazos–Cadena Mexico
Savaş Dayanik United States
X.Y. Zhou Hong Kong
Shushang Zhu China
Tomasz R. Bielecki United States
Huyên Pham France
Ulrich Rieder relative to Manfred Schäl Germany Manfred Schäl's profile →
Citations per field
00.5×
Manfred Schäl · 1×
Citations per year

Countries citing papers authored by Ulrich Rieder

Since Specialization
Citations

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

Fields of papers citing papers by Ulrich Rieder

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulrich Rieder

This figure shows the co-authorship network connecting the top 25 collaborators of Ulrich Rieder. A scholar is included among the top collaborators of Ulrich Rieder 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 Ulrich Rieder. Ulrich Rieder 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 4
2 12
3 30
4 3
5 1
6 11
7 12
8 37
9 73
10 0
11 9
12 4
13 2
14 25
15 1
16
The poset scheduling problem
1
17 11
18 6
19 12
20 5

About Ulrich Rieder

Ulrich Rieder is a scholar working on General Decision Sciences, Management Science and Operations Research and Finance, having authored 43 papers that have together received 996 indexed citations. Recurring topics across this work include Stochastic processes and financial applications (16 papers), Economic theories and models (14 papers) and Advanced Queuing Theory Analysis (8 papers). The work is most often cited by research in Finance (403 citations), Management Science and Operations Research (418 citations) and Statistics and Probability (124 citations). Ulrich Rieder has collaborated with scholars based in Germany, Austria and Taiwan. Frequent co-authors include Nicole Bäuerle, Xianping Guo, Manfred Schroedl, Rudi Zagst, Andreas Ebner, Karl Hinderer, Hsing Luh, Paul Wentges, Jochen H. Weishaupt and Franz Josef Radermacher. Their work appears in journals such as IEEE Transactions on Automatic Control, Annals of Operations Research and Mathematics 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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