Peter McAdam

3.8k citations
121 papers · 2.6k · h-index 23

Impact in

Papers in

Peter McAdam

116 papers receiving 2.4k citations

Peers

Peter McAdam
Comparison fields: 5 of 101
  • General Economics, Econometrics and Finance 1.2k
  • Economics and Econometrics 2.0k
  • Finance 503
  • Management Science and Operations Research 235
  • Accounting 134
Replace Seung C. Ahn with:
Seung C. Ahn United States
Grayham E. Mizon United Kingdom
Domenico Delli Gatti Italy
Neil R. Ericsson United States
Robert Pollin United States
Robin L. Lumsdaine United States
Vasco M. Carvalho United Kingdom
Hatice Ozer Balli New Zealand
Timothy J. Kehoe United States
Javier A. Reyes United States
Peter McAdam relative to Seung C. Ahn United States Seung C. Ahn's profile →
Citations per field
00.5×1.6×
Seung C. Ahn · 1×
Citations per year

Countries citing papers authored by Peter McAdam

Since Specialization
Citations

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

Fields of papers citing papers by Peter McAdam

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 121 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998473
2 2007268
3 2010245
4 2007163
5 2012142
6 200470
7 199867
8 200762
9 201953
10 200553
11 201344
12 200744
13 200844
14 200739
15 201236
16 200136
17 201433
18 200326
19 201525
20 200925

About Peter McAdam

Peter McAdam is a scholar working on Economics and Econometrics, General Economics, Econometrics and Finance, Finance, Sociology and Political Science and Information Systems, having authored 121 papers that have together received 2.6k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (60 papers), Economic Growth and Productivity (29 papers), Economic theories and models (27 papers), Economic Theory and Policy (26 papers), Global Financial Crisis and Policies (22 papers), Fiscal Policy and Economic Growth (21 papers), Italy: Economic History and Contemporary Issues (17 papers) and Economic Policies and Impacts (16 papers). The work is most often cited by research in General Economics, Econometrics and Finance (1.2k citations), Economics and Econometrics (2.0k citations), Finance (503 citations), Management Science and Operations Research (235 citations) and Accounting (134 citations). Peter McAdam has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Alpo Willman, Rainer Klump, Miguel A. León‐Ledesma, Günter Coenen, Roland Straub, Dimitris Christopoulos, Jo�ão Ricardo Faria, Paul D. McNelis, Joseph Pearlman and Paul Levine. Their work appears in journals such as Economic Modelling, Macroeconomic Dynamics, Journal of money credit and banking, Journal of International Money and Finance and Oxford Review of Economic Policy.

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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