Peter McAdam

3.8k citations
110 papers · 2.4k · h-index 22

Impact in

Papers in

Peter McAdam

105 papers receiving 2.2k citations

Peers

Peter McAdam
Comparison fields: 5 of 99
  • General Economics, Econometrics and Finance 1.2k
  • Economics and Econometrics 1.9k
  • Finance 434
  • Management Science and Operations Research 195
  • Accounting 124
Replace Hyungsik Roger Moon with:
Hyungsik Roger Moon United States
Grayham E. Mizon United Kingdom
Seung C. Ahn United States
Neil R. Ericsson United States
Dennis W. Jansen United States
Nicola Spagnolo United Kingdom
Domenico Delli Gatti Italy
Theodore Panagiotidis Greece
Stephen G. Hall United Kingdom
Sean Holly United Kingdom
Peter McAdam relative to Hyungsik Roger Moon United States Hyungsik Roger Moon's profile →
Citations per field
00.5×1.5×
Hyungsik Roger Moon · 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 110 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1998381
2 2007259
3 2010236
4 2007155
5 2012137
6 200470
7 199864
8 200758
9 201952
10 200550
11 200843
12 201343
13 200742
14 200739
15 201236
16 201433
17 200924
18 201624
19 200324
20 201523

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 110 papers that have together received 2.4k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (54 papers), Economic Growth and Productivity (28 papers), Economic theories and models (27 papers), Economic Theory and Policy (23 papers), Fiscal Policy and Economic Growth (21 papers), Global Financial Crisis and Policies (18 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 (1.9k citations), Finance (434 citations), Management Science and Operations Research (195 citations) and Accounting (124 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, Paul Levine and Joseph Pearlman. Their work appears in journals such as Economic Modelling, Journal of money credit and banking, Journal of International Money and Finance, Macroeconomic Dynamics and Journal of Economic Surveys.

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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