Mark J. Jensen

1.5k citations
34 papers · 924 · h-index 15

Impact in

Papers in

    • Financial Risk and Volatility Modeling 13
    • Stochastic processes and financial applications 6
    • Complex Systems and Time Series Analysis 8
    • Market Dynamics and Volatility 7

Mark J. Jensen

34 papers receiving 836 citations

Peers

Mark J. Jensen
Comparison fields: 5 of 113
  • Finance 431
  • General Economics, Econometrics and Finance 202
  • Economics and Econometrics 538
  • Toxicology 39
  • Statistics and Probability 78
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Citations per year

Countries citing papers authored by Mark J. Jensen

Since Specialization
Citations

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

Fields of papers citing papers by Mark J. Jensen

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997173
2 1999104
3 200085
4 201078
5 201567
6 196165
7 199556
8 200041
9 201328
10 199727
11 200520
12 200318
13 200918
14 200817
15 200616
16 199814
17 199711
18
Energy Processes Enabled by Cryogenic Carbon Capture
201510
19 19999
20
An experimental design to compare tests of nonlinearity and chaos
19968

About Mark J. Jensen

Mark J. Jensen is a scholar working on Finance, Economics and Econometrics, General Economics, Econometrics and Finance, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 34 papers that have together received 924 indexed citations. Recurring topics across this work include Financial Risk and Volatility Modeling (13 papers), Monetary Policy and Economic Impact (10 papers), Complex Systems and Time Series Analysis (8 papers), Market Dynamics and Volatility (7 papers), Stochastic processes and financial applications (6 papers), Bayesian Methods and Mixture Models (4 papers), Image and Signal Denoising Methods (3 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Finance (431 citations), General Economics, Econometrics and Finance (202 citations), Economics and Econometrics (538 citations), Toxicology (39 citations) and Statistics and Probability (78 citations). Mark J. Jensen has collaborated with scholars based in United States, Canada and Germany. Frequent co-authors include John M. Maheu, William A. Barnett, Daniel T. Kaplan, Melvin J. Hinich, A. Ronald Gallant, Jochen Jungeilges, Brandon Whitcher, Gordon A. Alles, Mark D. Fairchild and Ajit J. Alles. Their work appears in journals such as Journal of Econometrics, Journal of Forecasting, Journal of Empirical Finance, Computational Economics and Studies in Nonlinear Dynamics and Econometrics.

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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