Mark Skidmore

4.5k total citations · 2 hit papers
95 papers, 2.9k citations indexed

About

Mark Skidmore is a scholar working on Economics and Econometrics, Sociology and Political Science and Political Science and International Relations. According to data from OpenAlex, Mark Skidmore has authored 95 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Economics and Econometrics, 18 papers in Sociology and Political Science and 17 papers in Political Science and International Relations. Recurrent topics in Mark Skidmore's work include Housing Market and Economics (34 papers), Fiscal Policy and Economic Growth (32 papers) and Local Government Finance and Decentralization (16 papers). Mark Skidmore is often cited by papers focused on Housing Market and Economics (34 papers), Fiscal Policy and Economic Growth (32 papers) and Local Government Finance and Decentralization (16 papers). Mark Skidmore collaborates with scholars based in United States, Japan and Chile. Mark Skidmore's co-authors include Hideki Toya, James Alm, Eric Scorsone, Scott Loveridge, Michael McKee, Laura A. Reese, Gary Sands, Mehmet Serkan Tosun, David Merriman and Courtney Cuthbertson and has published in prestigious journals such as Water Resources Research, Social Science & Medicine and Journal of Affective Disorders.

In The Last Decade

Mark Skidmore

89 papers receiving 2.6k citations

Hit Papers

DO NATURAL DISASTERS PROMOTE LONG‐RUN GROWTH? 2002 2026 2010 2018 2002 2006 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mark Skidmore United States 23 1.3k 1.3k 597 571 297 95 2.9k
Eduardo A. Cavallo United States 23 1.4k 1.1× 935 0.7× 579 1.0× 379 0.7× 115 0.4× 77 2.9k
Jesús Crespo Cuaresma Austria 35 2.4k 1.8× 1.1k 0.9× 257 0.4× 488 0.9× 299 1.0× 179 4.8k
Dingde Xu China 39 665 0.5× 1.6k 1.3× 1.5k 2.5× 1.4k 2.5× 306 1.0× 153 4.7k
Ilan Noy New Zealand 35 2.1k 1.6× 2.2k 1.7× 1.3k 2.1× 1.4k 2.4× 128 0.4× 174 5.7k
Paul A. Raschky Australia 19 750 0.6× 1.0k 0.8× 425 0.7× 593 1.0× 245 0.8× 56 2.3k
Yasuyuki Sawada Japan 29 756 0.6× 856 0.7× 373 0.6× 184 0.3× 133 0.4× 149 2.5k
Thomas Plümper United Kingdom 31 1.5k 1.1× 1.8k 1.4× 218 0.4× 293 0.5× 1.4k 4.6× 82 4.5k
Cuong Viet Nguyen Vietnam 27 861 0.7× 1.1k 0.8× 415 0.7× 206 0.4× 134 0.5× 162 2.7k
Andrew Healy United States 18 890 0.7× 1.2k 0.9× 238 0.4× 518 0.9× 1.0k 3.4× 39 2.8k
Matthew E. Kahn United States 34 2.7k 2.1× 1.3k 1.0× 168 0.3× 420 0.7× 158 0.5× 116 4.8k

Countries citing papers authored by Mark Skidmore

Since Specialization
Citations

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

Fields of papers citing papers by Mark Skidmore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mark Skidmore

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Skidmore. A scholar is included among the top collaborators of Mark Skidmore 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 Mark Skidmore. Mark Skidmore 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
2.
Loveridge, Scott, et al.. (2023). Rural US residents recognize anxiety better than urbanites and suburbanites but hold similar stigma. The Journal of Rural Health. 39(4). 860–869. 2 indexed citations
3.
Toya, Hideki & Mark Skidmore. (2021). A Cross-Country Analysis of the Determinants of COVID-19 Fatalities. SSRN Electronic Journal.
4.
Cuthbertson, Courtney, et al.. (2020). Developing and Implementing Farm Stress Training to Address Agricultural Producer Mental Health. Health Promotion Practice. 23(1). 8–10. 19 indexed citations
5.
Reese, Laura A., et al.. (2020). The Ruralization of Detroit? Implications for Economic Redevelopment Policy. Theoretical and Empirical Researches in Urban Management. 15(3). 29. 1 indexed citations
6.
Gemmell, Norman, Arthur Grimes, & Mark Skidmore. (2019). Do Local Property Taxes Affect New Building Development? Results from a Quasi-Natural Experiment in New Zealand. SSRN Electronic Journal. 2 indexed citations
7.
Stephens, Heather, et al.. (2019). Explaining the spatial variation in American life expectancy. Social Science & Medicine. 246. 112759–112759. 25 indexed citations
8.
Ballard, Charles L., et al.. (2018). Changes in the Benefits of the Taxable Value Cap When Property Values are Decreasing: Evidence from Michigan. Public Finance and Management. 18(4). 313–335. 1 indexed citations
9.
Skidmore, Mark, et al.. (2018). The Effects of Natural Disasters on Social Trust: Evidence from South Korea. Sustainability. 10(9). 2973–2973. 35 indexed citations
10.
Loveridge, Scott, et al.. (2017). Double danger in the double wide: Dimensions of poverty, housing quality and tornado impacts. Regional Science and Urban Economics. 65. 1–15. 36 indexed citations
11.
Skidmore, Mark, et al.. (2016). Population growth, land allocation and conflict in Mali. Area Development and Policy. 1(1). 113–131. 9 indexed citations
12.
Reese, Laura A., et al.. (2016). No Dog Left Behind: A Hedonic Pricing Model for Animal Shelters. Journal of Applied Animal Welfare Science. 20(1). 52–64. 16 indexed citations
13.
Cuthbertson, Courtney, et al.. (2016). Angry, Scared, and Unsure: Mental Health Consequences of Contaminated Water in Flint, Michigan. Journal of Urban Health. 93(6). 899–908. 67 indexed citations
14.
Parker, Jason, et al.. (2016). Forecasting state-level premature deaths from alcohol, drugs, and suicides using Google Trends data. Journal of Affective Disorders. 213. 9–15. 35 indexed citations
15.
Toya, Hideki & Mark Skidmore. (2014). Do Natural Disasters Enhance Societal Trust?. Kyklos. 67(2). 255–279. 107 indexed citations
16.
Toya, Hideki & Mark Skidmore. (2013). A Reply to “A Replication of “Economic Development and the Impacts of Natural Disasters” (Economics Letters 2007)”. Public Finance Review. 43(2). 179–184. 3 indexed citations
17.
Maher, Craig S., et al.. (2007). State Policy Consequences for Wisconsin's School Districts: Spending Disparities, Finance Formulas, and Revenue Restrictions. eYLS (Yale Law School). 90(3). 621. 1 indexed citations
18.
Skidmore, Mark, James W. Peltier, & James Alm. (2004). Do state motor fuel sales-below-cost laws lower prices?. Journal of Urban Economics. 57(1). 189–211. 20 indexed citations
19.
Skidmore, Mark & Hideki Toya. (2002). DO NATURAL DISASTERS PROMOTE LONG‐RUN GROWTH?. Economic Inquiry. 40(4). 664–687. 664 indexed citations breakdown →
20.
Skidmore, Mark. (2001). Risk, natural disasters, and household savings in a life cycle model. Japan and the World Economy. 13(1). 15–34. 57 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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