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 Gary C. Jacobson
Since
Specialization
Citations
This map shows the geographic impact of Gary C. Jacobson'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 Gary C. Jacobson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gary C. Jacobson more than expected).
Fields of papers citing papers by Gary C. Jacobson
This network shows the impact of papers produced by Gary C. Jacobson. 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 Gary C. Jacobson. The network helps show where Gary C. Jacobson may publish in the future.
Co-authorship network of co-authors of Gary C. Jacobson
This figure shows the co-authorship network connecting the top 25 collaborators of Gary C. Jacobson.
A scholar is included among the top collaborators of Gary C. Jacobson 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 Gary C. Jacobson. Gary C. Jacobson is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Jacobson, Gary C., et al.. (2013). Does the Tea Party Still Matter?: Tea Party Influence in the 2012 Elections. SSRN Electronic Journal.3 indexed citations
Jacobson, Gary C.. (1999). The Effect of the Afl-Cio's 'Voter Education' Campaign on the 1996 House Elections. SSRN Electronic Journal.2 indexed citations
10.
Box‐Steffensmeier, Janet M., Gary C. Jacobson, & J. Tobin Grant. (1995). Question Wording and the House Vote: Some Experimental Evidence. SSRN Electronic Journal.6 indexed citations
11.
Jacobson, Gary C. & Samuel Kernell. (1990). National Forces in the 1986 House Elections. SSRN Electronic Journal.2 indexed citations
12.
Jacobson, Gary C.. (1990). The Effects of Campaign Spending in House Elections: New Evidence for Old Argument. SSRN Electronic Journal.17 indexed citations
13.
Jacobson, Gary C.. (1989). Strategic Politicians and the Dynamics of House Elections, 1946-86. SSRN Electronic Journal.27 indexed citations
14.
Kernell, Samuel & Gary C. Jacobson. (1987). Congress and the Presidency as News in the Nineteenth Century. SSRN Electronic Journal.1 indexed citations
15.
Jacobson, Gary C.. (1987). The Marginals Never Vanished: Incumbency and Competition in Elections to the U.S. House OfRepresentatives, 1952-1982. SSRN Electronic Journal.56 indexed citations
16.
Jacobson, Gary C., et al.. (1987). Xerox: American Samurai - the behind-the-Scenes Story of how a Corporate Giant Beat the Japanese at Their Own Game.6 indexed citations
17.
Jacobson, Gary C. & Samuel Kernell. (1986). Interpreting the 1974 Congressional Election. SSRN Electronic Journal.1 indexed citations
18.
Jacobson, Gary C.. (1985). Money and Votes Reconsidered: Congressional Elections, 1972-1982. SSRN Electronic Journal.2 indexed citations
19.
Jacobson, Gary C.. (1981). Incumbents and Voters in the 1978 Congressional Elections. SSRN Electronic Journal.1 indexed citations
20.
Jacobson, Gary C.. (1976). Presidential Coattails in 1972. SSRN Electronic Journal.
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.