Pami Dua

2.3k citations
101 papers · 1.4k · h-index 22

Impact in

Papers in

Pami Dua

92 papers receiving 1.3k citations

Peers

Pami Dua
Comparison fields: 5 of 87
  • General Economics, Econometrics and Finance 892
  • Finance 431
  • Economics and Econometrics 1.0k
  • Management Science and Operations Research 291
  • General Decision Sciences 33
Replace K. Holden with:
K. Holden United Kingdom
Dean Croushore United States
James B. Bullard United States
Giuseppe Parigi Italy
Sean Holly United Kingdom
Keith Cuthbertson United Kingdom
Douglas K. Pearce United States
Clemens Kool Netherlands
Stéphane Dées Germany
Warren E. Weber United States
Pami Dua relative to K. Holden United Kingdom K. Holden's profile →
Citations per field
00.5×3.3×
K. Holden · 1×
Citations per year

Countries citing papers authored by Pami Dua

Since Specialization
Citations

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

Fields of papers citing papers by Pami Dua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 19 scholars most cited alongside Pami Dua, 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 Pami Dua Line = papers co-authored together Pami Dua links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 101 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995100
2 199885
3 201468
4 199167
5 199565
6 201656
7 199251
8 199941
9 199340
10 199038
11 199538
12 199035
13 201035
14 201934
15 199634
16 199628
17 198928
18 200228
19 198823
20 201422

About Pami Dua

Pami Dua is a scholar working on General Economics, Econometrics and Finance, Economics and Econometrics, Finance, Management Science and Operations Research and Strategy and Management, having authored 101 papers that have together received 1.4k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (76 papers), Market Dynamics and Volatility (32 papers), Global Financial Crisis and Policies (24 papers), Economic Theory and Policy (17 papers), Fiscal Policies and Political Economy (11 papers), Housing Market and Economics (11 papers), Forecasting Techniques and Applications (10 papers) and Financial Risk and Volatility Modeling (10 papers). The work is most often cited by research in General Economics, Econometrics and Finance (892 citations), Finance (431 citations), Economics and Econometrics (1.0k citations), Management Science and Operations Research (291 citations) and General Decision Sciences (33 citations). Pami Dua has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include Roy Batchelor, David J. Smyth, Subhash C. Ray, Stephen M. Miller, Anirvan Banerji, Subal C. Kumbhakar, Rajiv Ranjan, Partha Sen, N.R. Bhanumurthy and Parantap Basu. Their work appears in journals such as Journal of Forecasting, ˜The œJournal of developing areas, The Journal of Real Estate Finance and Economics, International Journal of Forecasting and Public Choice.

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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