Paul D. McNelis

1.2k citations
60 papers · 676 indexed · h-index 14
Topics
Monetary Policy and Economic Impact (45 papers)Economic Theory and Policy (24 papers)Global Financial Crisis and Policies (21 papers)

In The Last Decade

Paul D. McNelis

54 papers receiving 606 citations

Peers

Paul D. McNelis
Comparison fields: 5 of 73
  • Economics and Econometrics 399
  • General Economics, Econometrics and Finance 302
  • Finance 203
  • Management Science and Operations Research 155
  • Artificial Intelligence 84
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Citations per year

Countries citing papers authored by Paul D. McNelis

Since Specialization
Citations

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

Fields of papers citing papers by Paul D. McNelis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Paul D. McNelis. 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 Paul D. McNelis. The network helps show where Paul D. McNelis may publish in the future.

Co-authorship network of co-authors of Paul D. McNelis

This figure shows the co-authorship network connecting the top 25 collaborators of Paul D. McNelis. A scholar is included among the top collaborators of Paul D. McNelis 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 Paul D. McNelis. Paul D. McNelis 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 1
2 2
3
A Dynamic Simulation Analysis of Currency Substitution in a Optimizing Framework with Transactions Costs
1
4
Computational Macroeconomics for the Open Economy
22
5 28
6
Neural networks in finance : gaining predictive edge in the market
147
7
Neural Networks in Finance: Gaining Predictive Edge in the Market (Academic Press Advanced Finance Series)
31
8 1
9 0
10 39
11
Money demand and seigniorage-maximizing inflation in Chile: approximatin, learning, and estimation with neutral networks
0
12 1
13 0
14
Monetary Stabilization with Interest Rate Instruments in Japan: A Linear Quadratic Control Analysis
1
15
Estancamiento e inestabilidad de la deuda externa
1
16 13
17 7
18 10
19 16
20 2

About Paul D. McNelis

Paul D. McNelis is a scholar working on General Economics, Econometrics and Finance, Finance and Economics and Econometrics, having authored 60 papers that have together received 676 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (45 papers), Economic Theory and Policy (24 papers) and Global Financial Crisis and Policies (21 papers). The work is most often cited by research in General Economics, Econometrics and Finance (302 citations), Finance (203 citations) and Economics and Econometrics (399 citations). Paul D. McNelis has collaborated with scholars based in United States, Australia and Germany. Frequent co-authors include G. C. Lim, Peter McAdam, John Duffy, Rüdiger Dornbusch, Mário Henrique Simonsen, Alfred Maußner, Burkhard Heer, Li Gu, Frank Giarratani and Salih N. Neftçi. Their work appears in journals such as The Review of Economics and Statistics, World Development and Journal of Monetary Economics.

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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