Jonathan D. Jones

2.8k total citations · 1 hit paper
33 papers, 2.1k citations indexed

About

Jonathan D. Jones is a scholar working on Economics and Econometrics, Finance and Accounting. According to data from OpenAlex, Jonathan D. Jones has authored 33 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Economics and Econometrics, 17 papers in Finance and 15 papers in Accounting. Recurrent topics in Jonathan D. Jones's work include Monetary Policy and Economic Impact (13 papers), Financial Markets and Investment Strategies (12 papers) and Market Dynamics and Volatility (12 papers). Jonathan D. Jones is often cited by papers focused on Monetary Policy and Economic Impact (13 papers), Financial Markets and Investment Strategies (12 papers) and Market Dynamics and Volatility (12 papers). Jonathan D. Jones collaborates with scholars based in United States and United Kingdom. Jonathan D. Jones's co-authors include Craig Hiemstra, Peter J. Nigro, Gordon J. Alexander, David Joulfaian, William W. Lang, Michael Walsh, Robert L. Kieschnick, Noel D. Uri, Andrew W. Alford and Gordon J. Alexander and has published in prestigious journals such as The Journal of Finance, Journal of Banking & Finance and Journal of Corporate Finance.

In The Last Decade

Jonathan D. Jones

32 papers receiving 1.9k citations

Hit Papers

Testing for Linear and Nonlinear Granger Causality in the... 1994 2026 2004 2015 1994 250 500 750 1000

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Jonathan D. Jones United States 13 1.6k 1.1k 610 414 181 33 2.1k
Craig Hiemstra United States 5 1.2k 0.8× 737 0.7× 451 0.7× 118 0.3× 157 0.9× 9 1.5k
Carla Inclán United States 10 1.5k 0.9× 1.3k 1.3× 703 1.2× 181 0.4× 113 0.6× 11 2.2k
Stan Hurn Australia 24 1.3k 0.8× 684 0.7× 599 1.0× 118 0.3× 163 0.9× 90 2.0k
Arjun Chatrath United States 25 1.3k 0.8× 802 0.8× 622 1.0× 164 0.4× 116 0.6× 84 1.6k
Simón Sosvilla‐Rivero Spain 28 2.2k 1.4× 1.2k 1.2× 1.3k 2.2× 187 0.5× 404 2.2× 252 3.0k
Jae H. Kim Australia 26 1.4k 0.9× 1.1k 1.1× 524 0.9× 245 0.6× 476 2.6× 77 2.2k
Yangru Wu United States 26 2.3k 1.5× 1.9k 1.8× 1.2k 2.0× 519 1.3× 364 2.0× 86 3.1k
Andrea Beltratti Italy 22 1.2k 0.8× 1.2k 1.1× 448 0.7× 542 1.3× 108 0.6× 71 2.0k
Christian T. Brownlees Spain 19 1.8k 1.1× 2.0k 1.9× 594 1.0× 306 0.7× 197 1.1× 50 2.6k

Countries citing papers authored by Jonathan D. Jones

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan D. Jones

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan D. Jones

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan D. Jones. A scholar is included among the top collaborators of Jonathan D. Jones 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 Jonathan D. Jones. Jonathan D. Jones 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
1.
Clark, Brian J., et al.. (2023). Leverage and the cost of capital for U.S. banks. Journal of Banking & Finance. 155. 107002–107002. 1 indexed citations
2.
Jones, Jonathan D., et al.. (2019). Forecasting High-Risk Composite CAMELS Ratings. International Finance Discussion Paper. 2019.0(1252). 1–19. 2 indexed citations
3.
Clark, Brian J., et al.. (2015). Leverage and the Cost of Capital: Testing the Relevance of the Modigliani-Miller Theorem for U.S. Banks. SSRN Electronic Journal. 2 indexed citations
4.
Song, Rui, Richard B. Sowers, & Jonathan D. Jones. (2014). The Topology of Central Counterparty Clearing Networks and Network Stability. Stochastic Models. 30(1). 16–47. 6 indexed citations
5.
Song, Rui, Richard B. Sowers, & Jonathan D. Jones. (2012). The Structure of Central Counterparty Clearing Networks and Network Stability. SSRN Electronic Journal. 3 indexed citations
6.
Nigro, Peter J., et al.. (2010). Some Evidence On The Secondary Market Trading Of Syndicated Loans. Journal of Business & Economics Research (JBER). 8(5). 2 indexed citations
7.
Jones, Jonathan D., William W. Lang, & Peter J. Nigro. (2004). Agent Bank Behavior in Bank Loan Syndications. Bryant Digital Repository (Bryant University). 8 indexed citations
8.
Alexander, Gordon J., Jonathan D. Jones, & Peter J. Nigro. (2001). Does mutual fund disclosure at banks matter? Evidence from a survey of investors. The Quarterly Review of Economics and Finance. 41(3). 387–403. 9 indexed citations
9.
Hiemstra, Craig & Jonathan D. Jones. (1999). Another Look At Long Memory In Common Stock Returns. SSRN Electronic Journal. 2 indexed citations
10.
Alford, Andrew W. & Jonathan D. Jones. (1995). Financial Reporting and Information Asymmetry: An Empirical Analysis of the SEC's Information-Supplying Exemption for Foreign Companies. SSRN Electronic Journal. 1 indexed citations
11.
Hiemstra, Craig & Jonathan D. Jones. (1994). Testing for Linear and Nonlinear Granger Causality in the Stock Price- Volume Relation. The Journal of Finance. 49(5). 1639–1639. 278 indexed citations
12.
Jones, Jonathan D., et al.. (1993). Linkage between S&P and non-S&P stocks on the NYSE. Applied Financial Economics. 3(2). 127–144. 4 indexed citations
13.
Jones, Jonathan D. & David Joulfaian. (1991). Federal govemment expenditures and revenues in the early years of the American republic: Evidence from 1792 to 1860. Journal of Macroeconomics. 13(1). 133–155. 73 indexed citations
14.
Jones, Jonathan D. & Noel D. Uri. (1990). Market efficiency, spot metals prices and cointegration. Resources Policy. 16(4). 261–268. 7 indexed citations
15.
Jones, Jonathan D., et al.. (1988). Money Growth, Inflation, and Causality (Empirical Evidence for Pakistan, 1973-1985). The Pakistan Development Review. 45–58. 17 indexed citations
16.
Walsh, Michael & Jonathan D. Jones. (1988). MORE EVIDENCE ON THE "BORDER TAX" EFFECT: THE CASE OF WEST VIRGINIA, 1979-84. National Tax Journal. 41(2). 261–265. 59 indexed citations
17.
Jones, Jonathan D.. (1988). Seasonal variation in interest rates. Atlantic Economic Journal. 16(2). 47–58. 4 indexed citations
18.
Uri, Noel D. & Jonathan D. Jones. (1988). The price elasticity of export demand for US agricultural commodities reconsidered. Agricultural Systems. 28(4). 273–297. 3 indexed citations
19.
Jones, Jonathan D. & Noel D. Uri. (1987). Money, Inflation and Casuality (Another Look at the Empirical Evidence for the USA, 1953–84). Applied Economics. 19(5). 619–634. 11 indexed citations
20.
Jones, Jonathan D. & Noel D. Uri. (1987). Money supply growth, stock returns and the direction of causality. Socio-Economic Planning Sciences. 21(5). 321–325. 5 indexed citations

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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