Conor Murray

1.4k total citations
30 papers, 867 citations indexed

About

Conor Murray is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics and General Health Professions. According to data from OpenAlex, Conor Murray has authored 30 papers receiving a total of 867 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in General Economics, Econometrics and Finance, 18 papers in Economics and Econometrics and 6 papers in General Health Professions. Recurrent topics in Conor Murray's work include Monetary Policy and Economic Impact (19 papers), Market Dynamics and Volatility (10 papers) and Economic theories and models (8 papers). Conor Murray is often cited by papers focused on Monetary Policy and Economic Impact (19 papers), Market Dynamics and Volatility (10 papers) and Economic theories and models (8 papers). Conor Murray collaborates with scholars based in United States, Australia and United Kingdom. Conor Murray's co-authors include David H. Papell, Charles R. Nelson, Claude Lopez, Chang‐Jin Kim, Frederick W. Lipfert, Shaun A. Watmough, Hatice Ozer Balli, Julian Aherne, Alex Nikolsko‐Rzhevskyy and J. A. Laurence and has published in prestigious journals such as American Journal of Respiratory and Critical Care Medicine, Atmospheric Environment and The Review of Economics and Statistics.

In The Last Decade

Conor Murray

29 papers receiving 762 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Conor Murray United States 12 698 694 255 50 32 30 867
Antonio Moreno Spain 16 634 0.9× 512 0.7× 680 2.7× 6 0.1× 16 0.5× 47 1.0k
Tomoyoshi Yabu Japan 10 411 0.6× 343 0.5× 224 0.9× 6 0.1× 17 0.5× 17 607
L.A. Gil‐Alana Spain 5 425 0.6× 291 0.4× 239 0.9× 7 0.1× 7 0.2× 8 505
Christian Schlag Germany 15 644 0.9× 201 0.3× 817 3.2× 7 0.1× 28 0.9× 81 1.0k
María Dolores Gadea Rivas Spain 19 775 1.1× 610 0.9× 400 1.6× 3 0.1× 24 0.8× 86 1.0k
Eiji Kurozumi Japan 11 520 0.7× 316 0.5× 128 0.5× 4 0.1× 19 0.6× 40 645
Furkan Emirmahmutoğlu Türkiye 10 567 0.8× 229 0.3× 75 0.3× 9 0.2× 24 0.8× 30 643
Christina Christou Cyprus 19 926 1.3× 357 0.5× 272 1.1× 12 0.2× 24 0.8× 44 1.0k
Roy E. Bailey United Kingdom 13 370 0.5× 192 0.3× 115 0.5× 9 0.2× 36 1.1× 32 526
Dimitrios V. Vougas United Kingdom 15 717 1.0× 379 0.5× 268 1.1× 2 0.0× 12 0.4× 35 820

Countries citing papers authored by Conor Murray

Since Specialization
Citations

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

Fields of papers citing papers by Conor Murray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Conor Murray

This figure shows the co-authorship network connecting the top 25 collaborators of Conor Murray. A scholar is included among the top collaborators of Conor Murray 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 Conor Murray. Conor Murray 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.
Murray, Conor, et al.. (2025). WATCHMAN Complications Revisited Using Ultra-High Resolution Photon-Counting Computed Tomography. Structural Heart. 10(1). 100753–100753.
2.
Murray, Conor & Frederick W. Lipfert. (2020). Air pollution, mortality, at-risk population, new entry and life expectancy of the frail elderly in three U.S. cities. Studies in Nonlinear Dynamics and Econometrics. 25(4). 135–142. 3 indexed citations
3.
Aherne, Julian, et al.. (2016). Critical levels and loads and the regulation of industrial emissions in northwest British Columbia, Canada. Atmospheric Environment. 146. 311–323. 9 indexed citations
4.
Brims, Fraser, Conor Murray, Nicholas de Klerk, et al.. (2014). 12 Months Of Low Dose CT Scan Screening An Asbestos Exposed Population: Results From The Western Australia Asbestos Review Program. American Journal of Respiratory and Critical Care Medicine. 189. 1 indexed citations
5.
Balli, Hatice Ozer, Conor Murray, & David H. Papell. (2014). Median-unbiased estimation of structural change models: an application to real exchange rate persistence. Applied Economics. 46(27). 3300–3311. 3 indexed citations
6.
Murray, Conor & Frederick W. Lipfert. (2013). Inferring frail life expectancies in Chicago from daily fluctuations in elderly mortality. Inhalation Toxicology. 25(8). 461–479. 7 indexed citations
7.
Murray, Conor & Frederick W. Lipfert. (2012). A new time-series methodology for estimating relationships between elderly frailty, remaining life expectancy, and ambient air quality. Inhalation Toxicology. 24(2). 89–98. 7 indexed citations
8.
Lipfert, Frederick W. & Conor Murray. (2012). Air pollution and daily mortality: A new approach to an old problem. Atmospheric Environment. 55. 467–474. 1 indexed citations
9.
Lopez, Claude, Conor Murray, & David H. Papell. (2011). Median-unbiased estimation in DF-GLS regressions and the PPP puzzle. Applied Economics. 45(4). 455–464. 10 indexed citations
10.
Lopez, Claude, Conor Murray, & David H. Papell. (2011). Median-Unbiased Estimation in DF-GLs Regressions and the PPP Puzzle. SSRN Electronic Journal. 14 indexed citations
11.
Murray, Conor & David H. Papell. (2005). Do Panels Help Solve the Purchasing Power Parity Puzzle?. Journal of Business and Economic Statistics. 23(4). 410–415. 46 indexed citations
12.
Murray, Conor & David H. Papell. (2005). The purchasing power parity puzzle is worse than you think. Empirical Economics. 30(3). 783–790. 42 indexed citations
13.
Lopez, Claude, Conor Murray, & David H. Papell. (2005). State of the Art Unit Root Tests and Purchasing Power Parity. Journal of money credit and banking. 37(2). 361–369. 76 indexed citations
14.
Lopez, Claude, Conor Murray, & David H. Papell. (2003). State of the Art Unit Root Tests and the PPP Puzzle. SSRN Electronic Journal. 29 indexed citations
15.
Lopez, Claude, Conor Murray, & David H. Papell. (2003). Median-Unbiased Estimation in Df-Gls Regressions and the Ppp Puzzle. SSRN Electronic Journal. 1 indexed citations
16.
Murray, Conor. (2003). Cyclical Properties of Baxter-King Filtered Time Series. The Review of Economics and Statistics. 85(2). 472–476. 85 indexed citations
17.
Kim, Chang‐Jin & Conor Murray. (2002). Permanent and transitory components of recessions. Empirical Economics. 27(2). 163–183. 57 indexed citations
18.
Murray, Conor & Charles R. Nelson. (2002). The Great Depression and Output Persistance. Journal of money credit and banking. 34(4). 1090–1098. 11 indexed citations
19.
Murray, Conor & Charles R. Nelson. (2000). The uncertain trend in U.S. GDP. Journal of Monetary Economics. 46(1). 79–95. 75 indexed citations
20.
Murray, Conor. (1980). "Stabilization" and structural unemployment.. 6(4). 58–61. 9 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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