Robert F. Dittmar

4.5k total citations · 2 hit papers
38 papers, 3.0k citations indexed

About

Robert F. Dittmar is a scholar working on Finance, Economics and Econometrics and Strategy and Management. According to data from OpenAlex, Robert F. Dittmar has authored 38 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Finance, 19 papers in Economics and Econometrics and 8 papers in Strategy and Management. Recurrent topics in Robert F. Dittmar's work include Financial Markets and Investment Strategies (27 papers), Stochastic processes and financial applications (12 papers) and Housing Market and Economics (11 papers). Robert F. Dittmar is often cited by papers focused on Financial Markets and Investment Strategies (27 papers), Stochastic processes and financial applications (12 papers) and Housing Market and Economics (11 papers). Robert F. Dittmar collaborates with scholars based in United States, Germany and Singapore. Robert F. Dittmar's co-authors include Jennifer Conrad, Éric Ghysels, Ravi Bansal, Dong-Hyun Ahn, Christian Lundblad, A. Ronald Gallant, Amy K. Dittmar, Kathy Yuan, Dana Kiku and Dong‐Hyun Ahn and has published in prestigious journals such as The Journal of Finance, Journal of Financial Economics and Management Science.

In The Last Decade

Robert F. Dittmar

34 papers receiving 2.8k citations

Hit Papers

Nonlinear Pricing Kernels, Kurtosis Preference, and Evide... 2002 2026 2010 2018 2002 2012 100 200 300 400 500

Peers

Robert F. Dittmar
Comparison fields: 5 of 61
  • Finance 2.7k
  • Economics and Econometrics 1.5k
  • Accounting 820
  • General Economics, Econometrics and Finance 674
  • Strategy and Management 327
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Citations per field, relative to Robert F. Dittmar
Robert F. Dittmar · 1×
Citations per year, relative to Robert F. Dittmar
Robert F. Dittmar · 1×

Countries citing papers authored by Robert F. Dittmar

Since Specialization
Citations

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

Fields of papers citing papers by Robert F. Dittmar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert F. Dittmar. 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 Robert F. Dittmar. The network helps show where Robert F. Dittmar may publish in the future.

Co-authorship network of co-authors of Robert F. Dittmar

This figure shows the co-authorship network connecting the top 25 collaborators of Robert F. Dittmar. A scholar is included among the top collaborators of Robert F. Dittmar 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 Robert F. Dittmar. Robert F. Dittmar 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 0
2 2
3 5
4 2
5 9
6 15
7 1
8 95
9
Do Sovereign Bonds Benefit Corporate Bonds in Emerging Markets
9
10 132
11 119
12 2
13 8
14 0
15
Nonlinear Pricing Kernels, Kurtosis Preference, and Evidence from the Cross Section of Equity Returns
63
16 8
17 312
18 58
19
Nonlinear Pricing Kernels, Kurtosis Preference, and the Cross-Section of Equity Returns
28
20 110

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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