Jay K. Dow

1.4k citations
25 papers · 873 · h-index 14

Impact in

Papers in

Jay K. Dow

22 papers receiving 781 citations

Peers

Jay K. Dow
Comparison fields: 5 of 84
  • Political Science and International Relations 654
  • Communication 136
  • Gender Studies 155
  • Strategy and Management 179
  • Economics and Econometrics 174
Replace Garrett Glasgow with:
Garrett Glasgow United States
James W. Endersby United States
Michael Peress United States
Jean Crête Canada
Thomas Bräuninger Germany
Robert J. Pekkanen United States
Herschel F. Thomas United States
Michiel Nuytemans Belgium
Karlheinz Reif Germany
Bjørn Høyland Norway
Jay K. Dow relative to Garrett Glasgow United States Garrett Glasgow's profile →
Citations per field
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Citations per year

Countries citing papers authored by Jay K. Dow

Since Specialization
Citations

This map shows the geographic impact of Jay K. Dow'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 Jay K. Dow with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jay K. Dow more than expected).

Fields of papers citing papers by Jay K. Dow

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jay K. Dow. 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 Jay K. Dow. The network helps show where Jay K. Dow may publish in the future.

Co-authors

The 10 scholars most cited alongside Jay K. Dow, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jay K. Dow Line = papers co-authored together Jay K. Dow links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2003255
2 2001114
3 2006110
4 2008104
5 201075
6 200436
7 199422
8 199822
9 199219
10 200618
11 199816
12 199816
13 199815
14 199214
15 199011
16 20117
17 20175
18 19984
19 19993
20 19902

About Jay K. Dow

Jay K. Dow is a scholar working on Political Science and International Relations, Strategy and Management, Gender Studies, Economics and Econometrics and Communication, having authored 25 papers that have together received 873 indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (20 papers), Political Influence and Corporate Strategies (7 papers), Gender Politics and Representation (5 papers), Policy Transfer and Learning (3 papers), American Constitutional Law and Politics (2 papers), Social Media and Politics (2 papers), Economic and Environmental Valuation (2 papers) and Game Theory and Voting Systems (2 papers). The work is most often cited by research in Political Science and International Relations (654 citations), Communication (136 citations), Gender Studies (155 citations), Strategy and Management (179 citations) and Economics and Econometrics (174 citations). Jay K. Dow has collaborated with scholars based in United States and Germany. Frequent co-authors include James W. Endersby, James Adams, Samuel Merrill, Benjamin G. Bishin, Janet M. Box‐Steffensmeier, Michael C. Munger, Charles E. Menifield, Peter R. Mueser, Surrey M. Walton and Philip E. Graves. Their work appears in journals such as Public Choice, Electoral Studies, Political Behavior, PS Political Science & Politics and Journal of Elections Public Opinion and Parties.

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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