William T. Bianco

1.6k total citations
35 papers, 879 citations indexed

About

William T. Bianco is a scholar working on Political Science and International Relations, Economics and Econometrics and Sociology and Political Science. According to data from OpenAlex, William T. Bianco has authored 35 papers receiving a total of 879 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Political Science and International Relations, 13 papers in Economics and Econometrics and 7 papers in Sociology and Political Science. Recurrent topics in William T. Bianco's work include Electoral Systems and Political Participation (17 papers), Game Theory and Voting Systems (6 papers) and Political Influence and Corporate Strategies (6 papers). William T. Bianco is often cited by papers focused on Electoral Systems and Political Participation (17 papers), Game Theory and Voting Systems (6 papers) and Political Influence and Corporate Strategies (6 papers). William T. Bianco collaborates with scholars based in United States, Canada and United Arab Emirates. William T. Bianco's co-authors include Itai Sened, Robert H. Bates, John H. Aldrich, Regina Smyth, Christopher Kam, Donghee Shin, John Wilkerson, David B. Spence, Richard G. Niemi and Harold W. Stanley and has published in prestigious journals such as American Political Science Review, American Journal of Political Science and The Journal of Politics.

In The Last Decade

William T. Bianco

33 papers receiving 769 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William T. Bianco United States 15 644 255 224 223 149 35 879
Kenneth W. Shotts United States 18 977 1.5× 465 1.8× 262 1.2× 534 2.4× 119 0.8× 36 1.4k
Jonathan S. Krasno United States 10 847 1.3× 355 1.4× 250 1.1× 379 1.7× 216 1.4× 23 1.1k
Jack H. Nagel United States 16 586 0.9× 258 1.0× 114 0.5× 244 1.1× 86 0.6× 27 855
Itai Sened United States 20 790 1.2× 257 1.0× 292 1.3× 353 1.6× 85 0.6× 35 1.0k
Rory Truex United States 14 624 1.0× 655 2.6× 131 0.6× 105 0.5× 63 0.4× 28 1.0k
Abdul Noury United States 17 1.4k 2.2× 370 1.5× 534 2.4× 210 0.9× 113 0.8× 27 1.7k
Carole J. Wilson United States 10 1.6k 2.5× 494 1.9× 391 1.7× 120 0.5× 67 0.4× 13 1.8k
Sebastián M. Saiegh United States 20 1.1k 1.7× 453 1.8× 206 0.9× 445 2.0× 101 0.7× 59 1.6k
Scott Desposato United States 19 1.0k 1.6× 430 1.7× 236 1.1× 233 1.0× 316 2.1× 50 1.3k
Dimitri Landa United States 12 422 0.7× 242 0.9× 139 0.6× 195 0.9× 55 0.4× 43 684

Countries citing papers authored by William T. Bianco

Since Specialization
Citations

This map shows the geographic impact of William T. Bianco'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 William T. Bianco with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William T. Bianco more than expected).

Fields of papers citing papers by William T. Bianco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by William T. Bianco. 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 William T. Bianco. The network helps show where William T. Bianco may publish in the future.

Co-authorship network of co-authors of William T. Bianco

This figure shows the co-authorship network connecting the top 25 collaborators of William T. Bianco. A scholar is included among the top collaborators of William T. Bianco 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 William T. Bianco. William T. Bianco 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.
Bianco, William T., et al.. (2020). Congressional Credit-Claiming for COVID-19 Assistance: How Home Styles Adapt to Local Context. 1(4). 631–644. 1 indexed citations
2.
Bianco, William T. & Regina Smyth. (2020). The Bicameral Roots of Congressional Deadlock: Analyzing Divided Government Through the Lens of Majority Rule. Social Science Quarterly. 101(5). 1712–1727. 1 indexed citations
3.
Smyth, Regina, et al.. (2019). Legislative Rules in Electoral Authoritarian Regimes: The Case of Hong Kong’s Legislative Council. The Journal of Politics. 81(3). 892–905. 5 indexed citations
4.
Bianco, William T., et al.. (2017). Waypoints for Evaluating Big Science*. Social Science Quarterly. 98(4). 1144–1150. 7 indexed citations
5.
Bianco, William T., et al.. (2016). Engineering cooperation: How Americans and Russians manage joint operation of the International Space Station. International Area Studies Review. 19(3). 197–209.
6.
Kam, Christopher, William T. Bianco, Itai Sened, & Regina Smyth. (2010). Ministerial Selection and Intraparty Organization in the Contemporary British Parliament. American Political Science Review. 104(2). 289–306. 75 indexed citations
7.
Bianco, William T., et al.. (2010). The Impact of State Legislative Term Limits on the Competitiveness of Congressional Elections. American Politics Research. 38(5). 842–861. 3 indexed citations
8.
Bianco, William T. & Regina Smyth. (2010). The Utility of Self-Governance: Elinor Ostrom's Contributions to Knowledge. Transnational Corporation Review. 2(2). 89–91. 1 indexed citations
9.
Bianco, William T.. (2009). American Politics Today. Medical Entomology and Zoology. 4 indexed citations
10.
Bianco, William T., Michael S. Lynch, Gary J. Miller, & Itai Sened. (2007). The Constrained Instability of Majority Rule: Experiments on the Robustness of the Uncovered Set. Political Analysis. 16(2). 115–137. 20 indexed citations
11.
Bianco, William T., et al.. (2006). 1Constrained Instability: Experiments on the Robustness of the Uncovered Set. 1 indexed citations
12.
Bianco, William T., Michael S. Lynch, Gary J. Miller, & Itai Sened. (2006). “A Theory Waiting to Be Discovered and Used”: A Reanalysis of Canonical Experiments on Majority-Rule Decision Making. The Journal of Politics. 68(4). 838–851. 29 indexed citations
13.
Bianco, William T.. (2005). Last Post for “The Greatest Generation”: The Policy Implications of the Decline of Military Experience in the U.S. Congress. Legislative Studies Quarterly. 30(1). 85–102. 26 indexed citations
14.
Bianco, William T.. (2000). American Politics: Strategy and Choice. 1 indexed citations
15.
Bianco, William T.. (1999). Party Campaign Committees and the Distribution of Tally Program Funds. Legislative Studies Quarterly. 24(3). 451–451. 6 indexed citations
16.
Bianco, William T.. (1998). Different Paths to the Same Result: Rational Choice, Political Psychology, and Impression Formation in Campaigns. American Journal of Political Science. 42(4). 1061–1061. 12 indexed citations
17.
Bianco, William T., David B. Spence, & John Wilkerson. (1996). The Electoral Connection in the Early Congress: The Case of the Compensation Act of 1816. American Journal of Political Science. 40(1). 145–145. 49 indexed citations
18.
Aldrich, John H. & William T. Bianco. (1992). A game-theoretic model of party affiliation of candidates and office holders. Mathematical and Computer Modelling. 16(8-9). 103–116. 55 indexed citations
19.
Bianco, William T., Peter C. Ordeshook, & George Tsebelis. (1990). Crime and Punishment: Are One-Shot, Two-Person Games Enough?. American Political Science Review. 84(2). 569–586. 37 indexed citations
20.
Bianco, William T.. (1984). Strategic Decisions on Candidacy in U. S. Congressional Districts. Legislative Studies Quarterly. 9(2). 351–351. 76 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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