Tomoe Moore

1.6k total citations
35 papers, 1.2k citations indexed

About

Tomoe Moore is a scholar working on Finance, Economics and Econometrics and General Economics, Econometrics and Finance. According to data from OpenAlex, Tomoe Moore has authored 35 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Finance, 20 papers in Economics and Econometrics and 17 papers in General Economics, Econometrics and Finance. Recurrent topics in Tomoe Moore's work include Monetary Policy and Economic Impact (15 papers), Banking stability, regulation, efficiency (13 papers) and Global Financial Crisis and Policies (12 papers). Tomoe Moore is often cited by papers focused on Monetary Policy and Economic Impact (15 papers), Banking stability, regulation, efficiency (13 papers) and Global Financial Crisis and Policies (12 papers). Tomoe Moore collaborates with scholars based in United Kingdom, United Arab Emirates and Switzerland. Tomoe Moore's co-authors include Ping Wang, Ali Mirzaei, Guy Liu, Sushanta Mallick, Deniz Igan, Christopher J. Green, Eric J. Pentecost, Victor Murinde, Subrata Ghatak and Ján Fidrmuc and has published in prestigious journals such as World Development, Journal of Banking & Finance and Economica.

In The Last Decade

Tomoe Moore

34 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomoe Moore United Kingdom 14 843 726 467 319 73 35 1.2k
Tigran Poghosyan United States 19 922 1.1× 805 1.1× 564 1.2× 286 0.9× 46 0.6× 109 1.4k
Dimitrios P. Louzis Greece 15 1.1k 1.3× 803 1.1× 765 1.6× 296 0.9× 46 0.6× 27 1.5k
Daniel Santabárbara Spain 14 565 0.7× 437 0.6× 450 1.0× 229 0.7× 82 1.1× 25 905
Amit Ghosh United States 15 614 0.7× 515 0.7× 444 1.0× 243 0.8× 53 0.7× 45 914
Laura E. Kodres United States 16 1.3k 1.5× 872 1.2× 291 0.6× 428 1.3× 69 0.9× 42 1.5k
Gian Luca Clementi United States 15 455 0.5× 871 1.2× 593 1.3× 330 1.0× 112 1.5× 27 1.2k
Liliana Rojas-Suárez United States 19 879 1.0× 481 0.7× 341 0.7× 443 1.4× 84 1.2× 92 1.2k
Eugenio Cerutti United States 24 1.5k 1.7× 678 0.9× 562 1.2× 634 2.0× 132 1.8× 96 1.9k
Selim Elekdağ United States 21 1.1k 1.3× 894 1.2× 272 0.6× 877 2.7× 94 1.3× 63 1.6k
Avinash Persaud United States 11 898 1.1× 456 0.6× 199 0.4× 276 0.9× 72 1.0× 31 1.1k

Countries citing papers authored by Tomoe Moore

Since Specialization
Citations

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

Fields of papers citing papers by Tomoe Moore

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoe Moore

This figure shows the co-authorship network connecting the top 25 collaborators of Tomoe Moore. A scholar is included among the top collaborators of Tomoe Moore 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 Tomoe Moore. Tomoe Moore 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.
Gaibulloev, Khusrav, Ali Mirzaei, Tomoe Moore, & Mohsen Saad. (2025). The effect of fintech financing on firm performance: Evidence from emerging economies. Journal of International Financial Markets Institutions and Money. 103. 102201–102201.
2.
Fidrmuc, Ján, Khusrav Gaibulloev, Ali Mirzaei, & Tomoe Moore. (2023). The effect of capital inflows on the imports of capital goods in developing countries. Journal of Corporate Finance. 84. 102531–102531. 3 indexed citations
3.
Igan, Deniz, Ali Mirzaei, & Tomoe Moore. (2022). A shot in the arm: Economic support packages and firm performance during COVID-19. Journal of Corporate Finance. 78. 102340–102340. 8 indexed citations
4.
Igan, Deniz, Ali Mirzaei, & Tomoe Moore. (2022). Does macroprudential policy alleviate the adverse impact of COVID-19 on the resilience of banks?. Journal of Banking & Finance. 147. 106419–106419. 36 indexed citations
5.
Mirzaei, Ali & Tomoe Moore. (2020). Do macro‐prudential policies jeopardize banking competition?. International Review of Finance. 21(4). 1511–1518. 6 indexed citations
6.
Mirzaei, Ali & Tomoe Moore. (2014). What are the driving forces of bank competition across different income groups of countries?. Journal of International Financial Markets Institutions and Money. 32. 38–71. 68 indexed citations
7.
Ghatak, Subrata & Tomoe Moore. (2011). Monetary Policy Rules for Transition Economies: An Empirical Analysis. Review of Development Economics. 15(4). 714–728. 12 indexed citations
8.
Moore, Tomoe. (2009). Soft Budget Constraint in EU Transition Economy Enterprises. SSRN Electronic Journal. 3 indexed citations
9.
Moore, Tomoe. (2009). A Critical Appraisal of Mckinnon's Complementary Hypothesis: Does the Real Rate of Return on Money Matter for Investment in Developing Countries?. Brunel University Research Archive (BURA) (Brunel University London). 1 indexed citations
10.
Wang, Ping & Tomoe Moore. (2008). STOCK MARKET INTEGRATION FOR THE TRANSITION ECONOMIES: TIME-VARYING CONDITIONAL CORRELATION APPROACH. Manchester School. 76. 116–133. 69 indexed citations
11.
Moore, Tomoe & Christopher J. Green. (2008). Flow of funds and the impact of financial controls on bank portfolio behaviour: a study of India. European Journal of Finance. 14(7). 641–661. 3 indexed citations
12.
Mallick, Sushanta & Tomoe Moore. (2008). Foreign Capital in a Growth Model. Review of Development Economics. 12(1). 143–159. 61 indexed citations
13.
Moore, Tomoe. (2007). The Euro and Stock Markets in Hungary, Poland, and UK. Journal of Economic Integration. 22(1). 69–90. 4 indexed citations
14.
Moore, Tomoe & Ping Wang. (2007). Volatility in stock returns for new EU member states: Markov regime switching model. International Review of Financial Analysis. 16(3). 282–292. 55 indexed citations
15.
Moore, Tomoe. (2006). The Sources of Real Exchange Rate Fluctuations in India. Indian Economic Review. 41(1). 9–23. 8 indexed citations
16.
Moore, Tomoe & Eric J. Pentecost. (2006). An investigation into the sources of fluctuation in real and nominal wage rates in eight EU countries: A structural VAR approach. Journal of Comparative Economics. 34(2). 357–376. 13 indexed citations
17.
Moore, Tomoe, Christopher J. Green, & Victor Murinde. (2006). Financial sector reforms and stochastic policy simulations: A flow of funds model for India. Journal of Policy Modeling. 28(3). 319–333. 13 indexed citations
18.
Moore, Tomoe, Christopher J. Green, & Victor Murinde. (2005). Portfolio Behaviour in a Flow of Funds Model for the Household Sector in India. The Journal of Development Studies. 41(4). 675–702. 13 indexed citations
19.
Moore, Tomoe & Christopher J. Green. (2005). Other financial institutions' portfolio behaviour and policy implications: A study of India. International Economic Journal. 19(4). 543–562. 1 indexed citations
20.
Mallick, Sushanta & Tomoe Moore. (2005). Impact of World Bank lending in an adjustment-led growth model. Economic Systems. 29(4). 366–383. 8 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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