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.
Countries citing papers authored by John R. Robinson
Since
Specialization
Citations
This map shows the geographic impact of John R. Robinson'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 John R. Robinson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John R. Robinson more than expected).
Fields of papers citing papers by John R. Robinson
This network shows the impact of papers produced by John R. Robinson. 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 John R. Robinson. The network helps show where John R. Robinson may publish in the future.
Co-authorship network of co-authors of John R. Robinson
This figure shows the co-authorship network connecting the top 25 collaborators of John R. Robinson.
A scholar is included among the top collaborators of John R. Robinson 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 John R. Robinson. John R. Robinson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Koch, Adam S., Craig E. Lefanowicz, & John R. Robinson. (2012). The Effect of Quarterly Earnings Guidance on Share Values in Corporate Acquisitions. SSRN Electronic Journal.
8.
Robinson, John R., Yanfeng Xue, & Yong Yu. (2011). Determinants of Disclosure Noncompliance and the Effect of the SEC Review: Evidence from the 2006 Mandated Compensation Disclosure Regulations. SSRN Electronic Journal.13 indexed citations
Ayers, Benjamin C., Craig E. Lefanowicz, & John R. Robinson. (2004). The Effect of Shareholder-Level Capital Gains Taxes on Acquisition Structure. SSRN Electronic Journal.6 indexed citations
11.
Ayers, Benjamin C., Craig E. Lefanowicz, & John R. Robinson. (2003). Shareholder Taxes in Acquisition Premiums: The Effect of Capital Gains Taxation. SSRN Electronic Journal.18 indexed citations
12.
Ayers, Benjamin C., C. Bryan Cloyd, & John R. Robinson. (2002). The Effect of Shareholder-Level Dividend Taxes on Stock Prices: Evidence from the Revenue Reconciliation Act of 1993. SSRN Electronic Journal.6 indexed citations
13.
Rister, M. Edward, et al.. (2002). Economic and Conservation Evaluation of Capital Renovation Projects: Harlingen Irrigation District Cameron County No. 1 Canal Meters and Telemetry Equipment, Impervious-Lining of Delivery Canals, Pipelines Replacing Delivery Canals, and On-Farm Delivery-Site Meters. OakTrust (Texas A&M University Libraries).13 indexed citations
14.
Ayers, Benjamin C., Craig E. Lefanowicz, & John R. Robinson. (1999). The Financial Statement Effects of Eliminating the Pooling-of-Interests Method of Acquisition Accounting. SSRN Electronic Journal.7 indexed citations
Robinson, John R.. (1981). The Influence of Selected Tax Variables on Premiums Paid Upon Corporate Combination.. Deep Blue (University of Michigan).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.