Jan Ubøe

2.0k citations
65 papers · 1.2k indexed · h-index 15

Jan Ubøe

63 papers receiving 1.1k citations

Peers

Jan Ubøe
Comparison fields: 5 of 88
  • Finance 516
  • Modeling and Simulation 139
  • Mathematical Physics 268
  • Statistics, Probability and Uncertainty 127
  • Applied Mathematics 172
Replace Antonio Di Crescenzo with:
Antonio Di Crescenzo Italy
Anthony G. Pakes Australia
Sheung Chi Phillip Yam Hong Kong
V. Yu. Korolev Russia
Guillaume Carlier France
Hans Föllmer Germany
Jordan Stoyanov United Kingdom
Erhan Çınlar United States
Jan Seidler Czechia
Jean Jacod United States
Jan Ubøe relative to Antonio Di Crescenzo Italy Antonio Di Crescenzo's profile →
Citations per field
00.5×2.7×
Antonio Di Crescenzo · 1×
Citations per year

Countries citing papers authored by Jan Ubøe

Since Specialization
Citations

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

Fields of papers citing papers by Jan Ubøe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 16 scholars most cited alongside Jan Ubøe, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Ubøe Line = papers co-authored together Jan Ubøe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Markets With Memory: Dynamic Channel Optimization Models With Price-Dependent Stochastic Demand
20191
2
Introductory Statistics for Business and Economics Theory, Exercises and Solutions
20173
3 20150
4 201411
5 20122
6 20112
7 20101
8 20109
9 20103
10 20092
11 20082
12 20071
13 20064
14 20067
15 20061
16 20054
17 199921
18 1997254
19 19968
20 198716

About Jan Ubøe

Jan Ubøe is a scholar working on Transportation, Management Information Systems, Finance, Economics and Econometrics and Marketing, having authored 65 papers that have together received 1.2k indexed citations. Recurring topics across this work include Transportation Planning and Optimization (16 papers), Urban Transport and Accessibility (14 papers), Supply Chain and Inventory Management (12 papers), Stochastic processes and financial applications (11 papers), Economic theories and models (11 papers), Economic and Environmental Valuation (9 papers), Consumer Market Behavior and Pricing (9 papers) and Spatial and Panel Data Analysis (5 papers). The work is most often cited by research in Finance (516 citations), Modeling and Simulation (139 citations), Mathematical Physics (268 citations), Statistics, Probability and Uncertainty (127 citations) and Applied Mathematics (172 citations). Jan Ubøe has collaborated with scholars based in Norway, France and United States. Frequent co-authors include Bernt Øksendal, Helge Holden, Tusheng Zhang, Alfred Schöttl, Leif Kristoffer Sandal, Inge Thorsen, Tom Lindstrøm, Knut K. Aase, Kurt Jörnsten and Nicolas Privault. Their work appears in journals such as Omega, Environment and Planning A Economy and Space, Potential Analysis, Journal of Regional Science 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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