Ruxandra Prodan

589 citations
24 papers · 372 · h-index 11

Impact in

Papers in

Ruxandra Prodan

24 papers receiving 345 citations

Peers

Ruxandra Prodan
Comparison fields: 5 of 34
  • General Economics, Econometrics and Finance 301
  • Finance 149
  • Economics and Econometrics 308
  • Management Science and Operations Research 14
  • Renewable Energy, Sustainability and the Environment 18
Replace Taeyoung Doh with:
Taeyoung Doh United States
Tino Berger Germany
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Güneş Kamber New Zealand
Benjamin Wong Australia
Meredith Beechey Sweden
Sandeep Mazumder United States
Jeremy J. Nalewaik United States
Jérôme Lahaye United States
Alex Maynard Canada
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Citations per field
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Citations per year

Countries citing papers authored by Ruxandra Prodan

Since Specialization
Citations

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

Fields of papers citing papers by Ruxandra Prodan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Ruxandra Prodan, 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 Ruxandra Prodan Line = papers co-authored together Ruxandra Prodan 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 200683
2 200764
3 200445
4 201438
5 201127
6 201217
7 200714
8 201312
9 201110
10 202010
11 201410
12 20099
13 20226
14 20196
15 20145
16
The Comparative Performance of Alternative Out-of- sample Predictability Tests with Non-linear Models
20103
17 20113
18 20222
19 20152
20 20152

About Ruxandra Prodan

Ruxandra Prodan is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, Finance, Sociology and Political Science and Management Science and Operations Research, having authored 24 papers that have together received 372 indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (22 papers), Economic Theory and Policy (10 papers), Market Dynamics and Volatility (10 papers), Fiscal Policies and Political Economy (8 papers), Global Financial Crisis and Policies (7 papers), Economic, financial, and policy analysis (3 papers), Economic Growth and Productivity (2 papers) and Financial Risk and Volatility Modeling (2 papers). The work is most often cited by research in General Economics, Econometrics and Finance (301 citations), Finance (149 citations), Economics and Econometrics (308 citations), Management Science and Operations Research (14 citations) and Renewable Energy, Sustainability and the Environment (18 citations). Ruxandra Prodan has collaborated with scholars based in United States and France. Frequent co-authors include David H. Papell, Alex Nikolsko‐Rzhevskyy, Yu Liu, Walter Enders and Klodiana Istrefi. Their work appears in journals such as Journal of money credit and banking, Economic Inquiry, The B E Journal of Macroeconomics, Journal of Economic Dynamics and Control and Journal of International Money and Finance.

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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