Public Opinion Quarterly

3.5k papers and 142.0k indexed citations i.

About

The 3.5k papers published in Public Opinion Quarterly in the last decades have received a total of 142.0k indexed citations. Papers published in Public Opinion Quarterly usually cover Sociology and Political Science (1.4k papers), Political Science and International Relations (1.0k papers) and Communication (563 papers) specifically the topics of Electoral Systems and Political Participation (835 papers), Survey Methodology and Nonresponse (567 papers) and Social Media and Politics (481 papers). The most active scholars publishing in Public Opinion Quarterly are Robert M. Groves, Maxwell McCombs, Donald L. Shaw, Mick P. Couper, Daniel Katz, Jon A. Krosnick, Elihu Katz, Stanley Presser, Herbert C. Kelman and William Scott.

In The Last Decade

Fields of papers published in Public Opinion Quarterly

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers published in Public Opinion Quarterly. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers published in Public Opinion Quarterly.

Countries where authors publish in Public Opinion Quarterly

Since Specialization
Citations

This map shows the geographic impact of research published in Public Opinion Quarterly. 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 papers published in Public Opinion Quarterly with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Public Opinion Quarterly more than expected).

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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