Ryan J. Sullivan

4.6k citations
30 papers · 1.3k indexed · 1 hit paper · h-index 12

Ryan J. Sullivan

24 papers receiving 1.3k citations

Hit Papers

Data‐Snooping, Technical Trading Rule Performance, and th...19992026200820171999200400600

Peers

Ryan J. Sullivan
Comparison fields: 5 of 92
  • Finance 794
  • Economics and Econometrics 618
  • Management Science and Operations Research 362
  • General Economics, Econometrics and Finance 255
  • Accounting 185
Replace Yufeng Han with:
Yufeng Han United States
Joonghyuk Kim South Korea
Daniel Rösch Germany
Niall O’Sullivan Ireland
Kwangwon Ahn South Korea
Matthew R. Morey United States
In Ho Lee South Korea
Rui Huo China
Ryan J. Sullivan relative to Yufeng Han United States Yufeng Han's profile →
Citations per field
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Yufeng Han · 1×
Citations per year

Countries citing papers authored by Ryan J. Sullivan

Since Specialization
Citations

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

Fields of papers citing papers by Ryan J. Sullivan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan J. Sullivan. 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 Ryan J. Sullivan. The network helps show where Ryan J. Sullivan may publish in the future.

Co-authorship network of co-authors of Ryan J. Sullivan

This figure shows the co-authorship network connecting the top 25 collaborators of Ryan J. Sullivan. A scholar is included among the top collaborators of Ryan J. Sullivan 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 Ryan J. Sullivan. Ryan J. Sullivan 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
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12 23
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17 202
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Data‐Snooping, Technical Trading Rule Performance, and the Bootstrapbreakdown →
707
19
Dangers of Data-Driven Inference: The Case of Calendar Effects in Stock Returns
36
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Data-Snooping, Technical Trading Rule Performance, and the Bootstrap
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About Ryan J. Sullivan

Ryan J. Sullivan is a scholar working on Management Science and Operations Research, Finance and Process Chemistry and Technology, having authored 30 papers that have together received 1.3k indexed citations. Recurring topics across this work include Innovative Microfluidic and Catalytic Techniques Innovation (5 papers), Stock Market Forecasting Methods (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Finance (794 citations), General Economics, Econometrics and Finance (255 citations) and Management Science and Operations Research (362 citations). Ryan J. Sullivan has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Allan Timmermann, Halbert White, Stephen G. Newman, Marcel Schlaf, Jeanne Masson‐Makdissi, D.V. Soldatov, Mads P. Sulbæk Andersen, Gary J. Umphrey, Andrew D. Sutton and Cameron M. Moore. Their work appears in journals such as Angewandte Chemie International Edition, Journal of Clinical Oncology and The Journal of Finance.

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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