Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
Bank lending constraints, trade credit and alternative financing during the financial crisis: Evidence from European SMEs
This map shows the geographic impact of Conor O’Toole'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 Conor O’Toole with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Conor O’Toole more than expected).
This network shows the impact of papers produced by Conor O’Toole. 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 Conor O’Toole. The network helps show where Conor O’Toole may publish in the future.
Co-authorship network of co-authors of Conor O’Toole
This figure shows the co-authorship network connecting the top 25 collaborators of Conor O’Toole.
A scholar is included among the top collaborators of Conor O’Toole 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 Conor O’Toole. Conor O’Toole is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Ahrens, Achim, et al.. (2020). A review of the methodologies used in compiling owner-occupiers housing indices. RePEc: Research Papers in Economics.1 indexed citations
7.
McCann, Fergal & Conor O’Toole. (2019). Cross-Border Macroprudential Policy Spillovers and Bank Risk-Taking. International journal of central banking. 15(4). 267–311.9 indexed citations
8.
McQuinn, Kieran, et al.. (2018). Exploring Affordability in the Irish Housing Market. Econstor (Econstor). 50(1). 119–157.10 indexed citations
Lyons, Paul, et al.. (2017). Macroprudential Measures and Irish Mortgage Lending: An Overview of Lending in 2016. Economics Letters.1 indexed citations
11.
Carroll, James, et al.. (2016). Irish SME Investment in Economic Recovery. RePEc: Research Papers in Economics. 77–91.
12.
McCarthy, Yvonne, et al.. (2016). Macroprudential Measures and Irish Mortgage Lending: A Review of Recent Data. Economics Letters.2 indexed citations
13.
O’Toole, Conor, et al.. (2015). Non-Bank Financing in Ireland: A Comparative Perspective. Economic and social review. 46(1). 133–161.8 indexed citations
14.
Gerlach‐Kristen, Petra, Brian O’Connell, & Conor O’Toole. (2015). Do Credit Constraints Affect SME Investment and Employment. Trinity's Access to Research Output (TARA) (Trinity College Dublin). 46(1). 51–86.16 indexed citations
15.
Nelson, Bron, et al.. (2015). LightForce Photon-pressure Collision Avoidance: Efficiency Analysis in the Current Debris Environment and Long-Term Simulation Perspective. NASA Technical Reports Server (NASA).1 indexed citations
Lawless, Martina, Fergal McCann, & Conor O’Toole. (2013). The Importance of Banks in SME Financing: Ireland in a European Context. Economics Letters.2 indexed citations
Gerlach‐Kristen, Petra, Brian O’Connell, & Conor O’Toole. (2013). How do banking crises affect aggregate consumption? Evidence from international crisis episodes. ESRI WP464. August 2013. Archive of European Integration (AEI) (University of Pittsburgh).1 indexed citations
20.
O’Toole, Conor, Carol Newman, & Thia Hennessy. (2011). The role of financing frictions in agricultural investment decisions: an analysis pre and post financial crisis. RePEc: Research Papers in Economics.1 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.