J. Wickramanayake

597 total citations
32 papers, 424 citations indexed

About

J. Wickramanayake is a scholar working on Finance, Accounting and Economics and Econometrics. According to data from OpenAlex, J. Wickramanayake has authored 32 papers receiving a total of 424 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Finance, 18 papers in Accounting and 11 papers in Economics and Econometrics. Recurrent topics in J. Wickramanayake's work include Banking stability, regulation, efficiency (15 papers), Corporate Finance and Governance (13 papers) and Financial Markets and Investment Strategies (8 papers). J. Wickramanayake is often cited by papers focused on Banking stability, regulation, efficiency (15 papers), Corporate Finance and Governance (13 papers) and Financial Markets and Investment Strategies (8 papers). J. Wickramanayake collaborates with scholars based in Australia, Sri Lanka and United States. J. Wickramanayake's co-authors include Michael T. Skully, Shams Pathan, Shrimal Perera, John Watson, Robert W. Faff, Viet Do, A. S. M. Sohel Azad, Yuchen Wang, Michael Dempsey and Nicholas B. Allen and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Review of Financial Analysis and Journal of International Financial Markets Institutions and Money.

In The Last Decade

J. Wickramanayake

28 papers receiving 386 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Wickramanayake Australia 11 292 287 141 60 50 32 424
Oscar Varela United States 9 171 0.6× 263 0.9× 143 1.0× 44 0.7× 31 0.6× 34 394
Jan Bartholdy Denmark 12 269 0.9× 304 1.1× 182 1.3× 30 0.5× 38 0.8× 35 453
Vijaya Subrahmanyam United States 7 272 0.9× 332 1.2× 161 1.1× 52 0.9× 12 0.2× 15 436
Rafiqul Bhuyan United States 11 155 0.5× 128 0.4× 199 1.4× 39 0.7× 36 0.7× 38 322
John B. McDermott United States 8 416 1.4× 427 1.5× 200 1.4× 63 1.1× 35 0.7× 14 588
Karlyn Mitchell United States 10 214 0.7× 186 0.6× 205 1.5× 108 1.8× 26 0.5× 21 382
Sergio Gavilá Spain 3 402 1.4× 378 1.3× 195 1.4× 33 0.6× 38 0.8× 6 510
Kenneth Spong United States 8 322 1.1× 320 1.1× 132 0.9× 22 0.4× 35 0.7× 26 410
Nivine Richie United States 10 191 0.7× 180 0.6× 160 1.1× 27 0.5× 21 0.4× 22 312
Shahriar Khaksari United States 9 278 1.0× 312 1.1× 99 0.7× 17 0.3× 35 0.7× 16 425

Countries citing papers authored by J. Wickramanayake

Since Specialization
Citations

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

Fields of papers citing papers by J. Wickramanayake

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J. Wickramanayake

This figure shows the co-authorship network connecting the top 25 collaborators of J. Wickramanayake. A scholar is included among the top collaborators of J. Wickramanayake 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 J. Wickramanayake. J. Wickramanayake 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
1.
Wang, Yuchen, John Watson, & J. Wickramanayake. (2018). The global financial crisis and the mutual fund flow–performance relationship. World Economy. 41(11). 3172–3193. 10 indexed citations
2.
Wickramanayake, J., et al.. (2016). Determinants of commercial bank retail interest rate adjustments: Evidence from a panel data model. Journal of International Financial Markets Institutions and Money. 45. 1–20. 22 indexed citations
3.
Watson, John, et al.. (2015). Australian superannuation (pension) fund product ratings and performance: A guide for fund managers. Australian Journal of Management. 41(2). 189–211. 7 indexed citations
4.
Wickramanayake, J., et al.. (2014). Value relevance of human capital based disclosures: Moderating effects of labor productivity, investor sentiment, analyst coverage and audit quality. Advances in Accounting. 30(2). 338–353. 14 indexed citations
5.
Wickramanayake, J., et al.. (2012). Central Bank Financial Strength and Macroeconomic Outcomes. SSRN Electronic Journal. 2 indexed citations
6.
Azad, A. S. M. Sohel, et al.. (2011). Low-Frequency Volatility of Yen Interest Rate Swap Market in Relation to Macroeconomic Risk*. International Review of Finance. 11(3). 353–390. 10 indexed citations
7.
Wickramanayake, J., et al.. (2010). The relationship between mutual fund flows and stock market returns: A comparative empirical analysis. Corporate Ownership and Control. 8(1). 785–799. 1 indexed citations
8.
Watson, John, et al.. (2010). Investing into the abyss: The continued misclassification of multi-sector managed funds. Corporate Ownership and Control. 8(1). 600–623. 2 indexed citations
9.
Perera, Shrimal, Michael T. Skully, & J. Wickramanayake. (2010). Bank market concentration and interest spreads: South Asian evidence. International Journal of Emerging Markets. 5(1). 23–37. 16 indexed citations
10.
Skully, Michael T., et al.. (2009). A Critical Analysis of Central Bank Independence and Governance in Australia and Bangladesh. SSRN Electronic Journal. 4(1). 11–28. 1 indexed citations
11.
Pathan, Shams, Michael T. Skully, & J. Wickramanayake. (2008). Board Size, Independence and Performance: An Analysis of Thai Banks. SSRN Electronic Journal. 5 indexed citations
12.
Pathan, Shams, Michael T. Skully, & J. Wickramanayake. (2008). Reforms in Thai Bank Governance: The Aftermath of the Asian Financial Crisis. SSRN Electronic Journal. 1 indexed citations
13.
Skully, Michael T., et al.. (2008). Does Central Bank Independence and Governance Matter in Asia Pacific. SSRN Electronic Journal. 2 indexed citations
14.
Skully, Michael T., et al.. (2008). Central Bank Independence and Governance: Definitions and Modelling. SSRN Electronic Journal. 12–58. 3 indexed citations
15.
Watson, John, et al.. (2008). Further evidence on the approximation of confidence intervals for Sharpe style weights: the case of Australian listed managed funds. Investment Management and Financial Innovations. 5(2). 57–72. 4 indexed citations
16.
Pathan, Shams, Michael T. Skully, & J. Wickramanayake. (2007). Board Size, Independence and Performance: An Analysis of Thai Banks. Asia-Pacific Financial Markets. 14(3). 211–227. 110 indexed citations
17.
Skully, Michael T., et al.. (2006). Determinants of Central Bank Independence and Governance: Problems and Policy Implications. SSRN Electronic Journal. 1(1). 47–67. 10 indexed citations
18.
Do, Viet, Robert W. Faff, & J. Wickramanayake. (2005). An empirical analysis of hedge fund performance: The case of Australian hedge funds industry. Journal of Multinational Financial Management. 15(4-5). 377–393. 27 indexed citations
19.
Wickramanayake, J.. (2004). Financial structure, rural credit and supportive institutional framework in Sri Lanka: An empirical analsysis. 28(4). 339–358.
20.
Wickramanayake, J.. (1998). Central Provident Fund and Savings in Singapore: An Empirical Analysis. 435–454. 3 indexed citations

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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