William G. Dewald

1.0k citations
45 papers · 396 indexed · h-index 11

William G. Dewald

36 papers receiving 313 citations

Peers

William G. Dewald
Comparison fields: 5 of 60
  • General Economics, Econometrics and Finance 222
  • Economics and Econometrics 222
  • Finance 136
  • Accounting 32
  • Statistics, Probability and Uncertainty 30
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Countries citing papers authored by William G. Dewald

Since Specialization
Citations

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

Fields of papers citing papers by William G. Dewald

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William G. Dewald. 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 William G. Dewald. The network helps show where William G. Dewald may publish in the future.

Co-authorship network of co-authors of William G. Dewald

This figure shows the co-authorship network connecting the top 25 collaborators of William G. Dewald. A scholar is included among the top collaborators of William G. Dewald 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 William G. Dewald. William G. Dewald 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
#WorkIndexed citations
1
Replication in Empirical Economics: The Journal of Money, Credit and Banking Project
94
2 9
3 23
4
Did you know that the Fed holds TIPS
1
5
M2 velocity looks to be on a new track
1
6
Bond market inflation credibility
1
7
The Twin-Deficit Illusion
40
8
The Effect of Disinflationary Policies on Monetary Velocity
2
9 10
10
CBO and OMB Projections, Adjusted for Inflation, Show Federal Budget Deficit Under Control
1
11
Disentangling monetary and fiscal policy
7
12
Deficits and monetary growth
2
13 1
14
Fast vs. gradual policies for controlling inflation
0
15
Monetary growth, inflation, and unemployment: projections through 1983
0
16 5
17 14
18 35
19
The short term money market in Australia
2
20 8

About William G. Dewald

William G. Dewald is a scholar working on General Economics, Econometrics and Finance, Finance and Economics and Econometrics, having authored 45 papers that have together received 396 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (12 papers), Economic Theory and Policy (11 papers) and Economic theories and models (9 papers). The work is most often cited by research in General Economics, Econometrics and Finance (222 citations), Finance (136 citations) and Economics and Econometrics (222 citations). William G. Dewald has collaborated with scholars based in United States, New Zealand and Germany. Frequent co-authors include Richard G. Anderson, Jerry G. Thursby, Alfred A. Haug, Michael Ulan, George Horwich, Andreas Beyer, Phillip Cagan, Dale W. Jorgenson, Laurits R. Christensen and William T. Gavin. Their work appears in journals such as The Journal of Finance, American Economic Review and Journal of Political Economy.

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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