Stephen McCafferty

794 citations
24 papers · 495 · h-index 12

Impact in

Papers in

Stephen McCafferty

21 papers receiving 393 citations

Peers

Stephen McCafferty
Comparison fields: 5 of 41
  • General Economics, Econometrics and Finance 176
  • Marketing 156
  • Economics and Econometrics 423
  • Finance 107
  • Strategy and Management 123
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Alex Jacquemin Belgium
Corwin D. Edwards United States
W H Collins
Jonathan L. Willis United States
Leena Rudanko United States
John Vahaly United States
C. Alan Garner United States
Philipp Schmidt‐Dengler United Kingdom
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Citations per year

Countries citing papers authored by Stephen McCafferty

Since Specialization
Citations

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

Fields of papers citing papers by Stephen McCafferty

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 6 scholars most cited alongside Stephen McCafferty, 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 Stephen McCafferty Line = papers co-authored together Stephen McCafferty links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984148
2 198957
3 198044
4 198036
5 198033
6 198528
7
Job Search, Labor Supply, and the Quit Decision: Theory and Evidence
197727
8 200124
9 198214
10 198614
11 198312
12 198911
13 199110
14 19878
15 19867
16 19965
17 19855
18
Excess Demand, Search, and Price Dynamics
19774
19 19964
20 19801

About Stephen McCafferty

Stephen McCafferty is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Marketing, Finance and Strategy and Management, having authored 24 papers that have together received 495 indexed citations. Recurring topics across this work include Economic theories and models (14 papers), Monetary Policy and Economic Impact (11 papers), Merger and Competition Analysis (7 papers), Consumer Market Behavior and Pricing (7 papers), Global Financial Crisis and Policies (4 papers), Complex Systems and Time Series Analysis (3 papers), Financial Markets and Investment Strategies (3 papers) and Labor market dynamics and wage inequality (3 papers). The work is most often cited by research in General Economics, Econometrics and Finance (176 citations), Marketing (156 citations), Economics and Econometrics (423 citations), Finance (107 citations) and Strategy and Management (123 citations). Stephen McCafferty has collaborated with scholars based in United States. Frequent co-authors include Robert Driskill, Howard P. Marvel, John M. Barron, Ronald G. Ehrenberg, Paul L. Schumann and Steven M. Sheffrin. Their work appears in journals such as Journal of International Economics, Economic Inquiry, American Economic Review, The Quarterly Journal of Economics and Econometrica.

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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