Sunil S. Poshakwale

1.5k citations
48 papers · 1.1k indexed · h-index 18
Topics
Financial Markets and Investment Strategies (30 papers)Market Dynamics and Volatility (25 papers)Monetary Policy and Economic Impact (16 papers)

In The Last Decade

Sunil S. Poshakwale

46 papers receiving 902 citations

Peers

Sunil S. Poshakwale
Comparison fields: 5 of 52
  • Finance 717
  • Economics and Econometrics 603
  • Accounting 430
  • General Economics, Econometrics and Finance 241
  • Management Science and Operations Research 162
Replace Hee‐Joon Ahn with:
Hee‐Joon Ahn South Korea
Kishore Tandon United States
Y. Peter Chung United States
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Sunil S. Poshakwale relative to Hee‐Joon Ahn South Korea Hee‐Joon Ahn's profile →
Citations per field
00.5×2.7×
Hee‐Joon Ahn · 1×
Citations per year

Countries citing papers authored by Sunil S. Poshakwale

Since Specialization
Citations

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

Fields of papers citing papers by Sunil S. Poshakwale

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Sunil S. Poshakwale. 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 Sunil S. Poshakwale. The network helps show where Sunil S. Poshakwale may publish in the future.

Co-authorship network of co-authors of Sunil S. Poshakwale

This figure shows the co-authorship network connecting the top 25 collaborators of Sunil S. Poshakwale. A scholar is included among the top collaborators of Sunil S. Poshakwale 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 Sunil S. Poshakwale. Sunil S. Poshakwale 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 2
2 1
3 7
4 13
5 6
6 2
7 15
8 24
9 3
10 3
11 25
12 11
13 26
14 12
15 14
16
Foreign Investment, Market Segmentation and Volatility in the Emerging Chinese Stock Market
2
17
The Random Walk Hypothesis in the Emerging Indian Stock Market
6
18
Volatility in the emerging stock markets in Central and Eastern Europe: Evidence on Croatia, Czech Republic, Hungary, Poland, Russia and Slovakia
26
19 8
20 43

About Sunil S. Poshakwale

Sunil S. Poshakwale is a scholar working on Finance, General Economics, Econometrics and Finance and Accounting, having authored 48 papers that have together received 1.1k indexed citations. Recurring topics across this work include Financial Markets and Investment Strategies (30 papers), Market Dynamics and Volatility (25 papers) and Monetary Policy and Economic Impact (16 papers). The work is most often cited by research in Finance (717 citations), Accounting (430 citations) and General Economics, Econometrics and Finance (241 citations). Sunil S. Poshakwale has collaborated with scholars based in United Kingdom, Greece and Malaysia. Frequent co-authors include Chandra Thapa, Victor Murinde, John K. Courtis, Suman Neupane, Anandadeep Mandal, Kean Ow‐Yong, Vineet Agarwal, Christos Alexakis, Michael Theobald and J.L.C. Ford. Their work appears in journals such as Journal of Banking & Finance, Journal of International Money and Finance and International Review of Financial Analysis.

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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