Pami Dua

2.2k citations
83 papers · 1.3k indexed · h-index 22

Impact in

Papers in

Pami Dua

78 papers receiving 1.1k citations

Peers

Pami Dua
Comparison fields: 5 of 80
  • General Economics, Econometrics and Finance 793
  • Finance 379
  • Economics and Econometrics 951
  • Management Science and Operations Research 233
  • General Decision Sciences 26
Replace Marco Taboga with:
Marco Taboga Italy
James B. Bullard United States
Sean Holly United Kingdom
Keith Cuthbertson United Kingdom
Douglas K. Pearce United States
Dean Croushore United States
Juan Pablo Nicolini United States
Gadi Barlevy United States
Hakan Berument Türkiye
Clemens Kool Netherlands
Pami Dua relative to Marco Taboga Italy Marco Taboga's profile →
Citations per field
00.5×8.1×
Marco Taboga · 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-authorship network

The 15 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
#Work
1 20240
2 20241
3 20232
4 20230
5 202014
6 202018
7 20194
8 20189
9 20163
10 20157
11
Exchange Rate Policy and Modelling in India
20128
12 200614
13
An Indicator Approach to Business and Growth Rate Cycles: The Case of India
200110
14 20013
15 19991
16
Forecasting Connecticut Home Sales in a BVAR Framework Using Coincident and Leading Indexes
19972
17 199632
18 19953
19 19953
20 19926

About Pami Dua

Pami Dua is a scholar working on General Economics, Econometrics and Finance, Finance, Economics and Econometrics, Management Science and Operations Research and Strategy and Management, having authored 83 papers that have together received 1.3k indexed citations. Recurring topics across this work include Monetary Policy and Economic Impact (64 papers), Market Dynamics and Volatility (24 papers), Global Financial Crisis and Policies (18 papers), Economic Theory and Policy (15 papers), Fiscal Policies and Political Economy (11 papers), Housing Market and Economics (11 papers), Forecasting Techniques and Applications (9 papers) and Financial Risk and Volatility Modeling (8 papers). The work is most often cited by research in General Economics, Econometrics and Finance (793 citations), Finance (379 citations), Economics and Econometrics (951 citations), Management Science and Operations Research (233 citations) and General Decision Sciences (26 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, Rajiv Ranjan, Parantap Basu, Vineeta Sharma, N.R. Bhanumurthy and Habib Ahmed. Their work appears in journals such as Journal of Forecasting, International Journal of Forecasting, ˜The œJournal of developing areas, The Journal of Real Estate Finance and Economics 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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2026