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.
An Analysis of Intraday Patterns in Bid/Ask Spreads for NYSE Stocks
1992691 citationsThomas H. McInish, R.J.K. Woodprofile →
Peers — A (Enhanced Table)
Peers by citation overlap · career bar shows stage (early→late)
cites ·
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Countries citing papers authored by Thomas H. McInish
Since
Specialization
Citations
This map shows the geographic impact of Thomas H. McInish'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 Thomas H. McInish with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Thomas H. McInish more than expected).
Fields of papers citing papers by Thomas H. McInish
This network shows the impact of papers produced by Thomas H. McInish. 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 Thomas H. McInish. The network helps show where Thomas H. McInish may publish in the future.
Co-authorship network of co-authors of Thomas H. McInish
This figure shows the co-authorship network connecting the top 25 collaborators of Thomas H. McInish.
A scholar is included among the top collaborators of Thomas H. McInish 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 Thomas H. McInish. Thomas H. McInish 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.
Elnahas, Ahmed, Pankaj K. Jain, & Thomas H. McInish. (2021). Mixed‐signal stock splits. Journal of Business Finance & Accounting. 49(5-6). 934–962.5 indexed citations
Jain, Pankaj K., et al.. (2019). Insights from bitcoin trading. Financial Management. 48(4). 1031–1048.28 indexed citations
5.
Jiang, Christine X., et al.. (2017). Information Content of Earnings Announcements: Evidence from After-Hours Trading. SSRN Electronic Journal.1 indexed citations
Jain, Pankaj K., et al.. (2010). Informed Trading In Parallel Auction And Dealer Markets: A Case Of The London Stock Exchange. UMI Dissertation Services eBooks.7 indexed citations
9.
Hu, Bill X., Thomas H. McInish, & Li Zeng. (2010). Gambling in Penny Stocks: The Case of Stock Spam E-Mails. 4. 610.6 indexed citations
10.
Chung, Kee H., et al.. (2009). Production of Information, Information Asymmetry, and the Bid-Ask Spread: EmpiricalEvidence from Analysts’ Forecasts. SSRN Electronic Journal.11 indexed citations
Aitken, Michael, et al.. (2008). Are third-party equity warrants redundant?. Journal of financial transformation. 22. 153–161.1 indexed citations
15.
Li, Mingsheng, Thomas H. McInish, & Udomsak Wongchoti. (2005). Asymmetric Information in the IPO Aftermarket. SSRN Electronic Journal.1 indexed citations
16.
McInish, Thomas H., et al.. (2001). Merger Announcements and Trading. SSRN Electronic Journal.4 indexed citations
17.
McInish, Thomas H. & Sie Ting Lau. (2001). Cross-Listings and Home Market Trading Volume: The Case of Malaysia and Singapore. SSRN Electronic Journal.2 indexed citations
18.
Ness, Robert A. Van, Thomas H. McInish, & Bonnie F. Van Ness. (1998). The Effect of the SEC's Order Handling Rules on NASDAQ. SSRN Electronic Journal.1 indexed citations
19.
Choe, Hyuk, Thomas H. McInish, & R.J.K. Wood. (1995). Block versus nonblock trading patterns. Review of Quantitative Finance and Accounting. 5(4). 355–363.6 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.