Jonathan Stroud

34 papers receiving 1.1k citations

Peers

Jonathan Stroud
Comparison fields: 5 of 101
  • Finance 477
  • General Economics, Econometrics and Finance 106
  • Statistics and Probability 95
  • Economics and Econometrics 298
  • Management Science and Operations Research 140
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Citations per year

Countries citing papers authored by Jonathan Stroud

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan Stroud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan Stroud, 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 Jonathan Stroud Line = papers co-authored together Jonathan Stroud links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 38 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005240
2 2016146
3 2009143
4 200496
5 200861
6 200261
7 201048
8 200747
9 201746
10 201640
11 200938
12 200733
13 200332
14 200228
15 200128
16 201426
17 200217
18 20036
19 20116
20
Optimal Filtering of Jump Diffusions: Extracting Latent States from Asset Prices
20095

About Jonathan Stroud

Jonathan Stroud is a scholar working on Finance, Economics and Econometrics, Management of Technology and Innovation, Artificial Intelligence and Oceanography, having authored 38 papers that have together received 1.2k indexed citations. Recurring topics across this work include Intellectual Property and Patents (8 papers), Stochastic processes and financial applications (7 papers), Financial Risk and Volatility Modeling (7 papers), Climate variability and models (4 papers), Meteorological Phenomena and Simulations (4 papers), Atmospheric and Environmental Gas Dynamics (3 papers), Oceanographic and Atmospheric Processes (3 papers) and Monetary Policy and Economic Impact (3 papers). The work is most often cited by research in Finance (477 citations), General Economics, Econometrics and Finance (106 citations), Statistics and Probability (95 citations), Economics and Econometrics (298 citations) and Management Science and Operations Research (140 citations). Jonathan Stroud has collaborated with scholars based in United States, Japan and Venezuela. Frequent co-authors include Michael Johannes, Nicholas G. Polson, Matthias Katzfuß, Christopher K. Wikle, Pedro Santa‐Clara, Michael W. Brandt, Amit Goyal, Peter Müller, Michael L. Stein and Gabriel Huerta. Their work appears in journals such as Journal of the American Statistical Association, Journal of the Royal Statistical Society Series C (Applied Statistics), Review of Financial Studies, Monthly Weather Review and Journal of the Royal Statistical Society Series B (Statistical Methodology).

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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