David J. Lanoue

53 total papers · 1.5k total citations
38 papers, 899 citations indexed

About

David J. Lanoue is a scholar working on Political Science and International Relations, Economics and Econometrics and Communication. According to data from OpenAlex, David J. Lanoue has authored 38 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Political Science and International Relations, 9 papers in Economics and Econometrics and 8 papers in Communication. Recurrent topics in David J. Lanoue's work include Electoral Systems and Political Participation (28 papers), Political Influence and Corporate Strategies (8 papers) and Social Media and Politics (8 papers). David J. Lanoue is often cited by papers focused on Electoral Systems and Political Participation (28 papers), Political Influence and Corporate Strategies (8 papers) and Social Media and Politics (8 papers). David J. Lanoue collaborates with scholars based in United States, Germany and Canada. David J. Lanoue's co-authors include Shaun Bowler, Stephen M. Saideman, Alan I. Abramowitz, Will H. Moore, Craig F. Emmert, Karl DeRouen, J. Bonany, Ramón Dolcet-Sanjuan, Todd Donovan and Jeffrey A. Karp and has published in prestigious journals such as The Journal of Politics, Public Opinion Quarterly and Comparative Political Studies.

In The Last Decade

David J. Lanoue

36 papers receiving 777 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
David J. Lanoue	639	387	225	177	109	38	899
William H. Harbold	634 1.0×	403 1.0×	118 0.5×	138 0.8×	113 1.0×	18	978
J. Tobin Grant	394 0.6×	433 1.1×	116 0.5×	120 0.7×	105 1.0×	33	768
Frank J. Sorauf	683 1.1×	395 1.0×	112 0.5×	172 1.0×	221 2.0×	40	1.0k
Benjamin Ginsberg	488 0.8×	295 0.8×	95 0.4×	91 0.5×	102 0.9×	43	794
James W. Prothro	553 0.9×	574 1.5×	139 0.6×	67 0.4×	72 0.7×	32	966
Austin Ranney	763 1.2×	259 0.7×	144 0.6×	145 0.8×	182 1.7×	40	984
Nathaniel Persily	419 0.7×	537 1.4×	363 1.6×	98 0.6×	80 0.7×	45	990
Alan Ware	546 0.9×	274 0.7×	89 0.4×	67 0.4×	158 1.4×	54	753
Harry M. Scoble	510 0.8×	346 0.9×	160 0.7×	91 0.5×	118 1.1×	20	823
Eric Lawrence	521 0.8×	297 0.8×	248 1.1×	169 1.0×	141 1.3×	22	789

Countries citing papers authored by David J. Lanoue

Since Specialization

Citations

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

Fields of papers citing papers by David J. Lanoue

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David J. Lanoue. 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 David J. Lanoue. The network helps show where David J. Lanoue may publish in the future.

Co-authorship network of co-authors of David J. Lanoue

This figure shows the co-authorship network connecting the top 25 collaborators of David J. Lanoue. A scholar is included among the top collaborators of David J. Lanoue 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 David J. Lanoue. David J. Lanoue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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