Daniel Lévy

4.4k citations
89 papers · 2.3k indexed · h-index 22

Daniel Lévy

85 papers receiving 2.1k citations

Peers

Daniel Lévy
Comparison fields: 5 of 122
  • Economics and Econometrics 1.4k
  • General Economics, Econometrics and Finance 630
  • Marketing 463
  • Finance 239
  • Immunology 216
Replace Erkki Koskela with:
Erkki Koskela Finland
E. Glen Weyl United Kingdom
R. G. D. Allen Canada
John O. S. Wilson United Kingdom
Peter J. Boettke United States
Christopher Bliss United Kingdom
Rafael Rob United States
John Thornton United States
Wing Suen Hong Kong
B. Curtis Eaton Canada
Daniel Lévy relative to Erkki Koskela Finland Erkki Koskela's profile →
Citations per field
00.5×10×20×30×43.2×
Erkki Koskela · 1×
Citations per year

Countries citing papers authored by Daniel Lévy

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Lévy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel Lévy

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Lévy. A scholar is included among the top collaborators of Daniel Lévy 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 Daniel Lévy. Daniel Lévy 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 0
2 0
3
Large-Scale Methods for Distributionally Robust Optimization
3
4
Bayesian optimization and attribute adjustment
2
5
Data Noising as Smoothing in Neural Network Language Models
48
6 6
7 7
8 14
9 45
10 22
11 6
12 44
13
Aggregate Output, Capital, and Labor in the Post-War U.S.
1
14 17
15
Pricing as a Strategic Capability
58
16 86
17
Seasonal Cycles, Business Cycles, and the Comovement of Inventory Investment and Output
1
18
The magnitude of menu costs
21
19 24
20 12

About Daniel Lévy

Daniel Lévy is a scholar working on Tourism, Leisure and Hospitality Management, General Economics, Econometrics and Finance and Marketing, having authored 89 papers that have together received 2.3k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (25 papers), Consumer Market Behavior and Pricing (22 papers) and Economics of Agriculture and Food Markets (18 papers). The work is most often cited by research in General Economics, Econometrics and Finance (630 citations), Economics and Econometrics (1.4k citations) and Marketing (463 citations). Daniel Lévy has collaborated with scholars based in United States, Israel and Canada. Frequent co-authors include Andrew T. Young, Mark Bergen, Matthew J. Higgins, Mark Zbaracki, Shantanu Dutta, Mark Ritson, Ira K. Schwartz, Shantanu Dutta, Hashem Dezhbakhsh and Haipeng Chen. Their work appears in journals such as The Quarterly Journal of Economics, International Journal of Radiation Oncology*Biology*Physics and The Review of Economics and Statistics.

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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