Will Lowe

47 papers receiving 2.3k citations

Will Lowe's Hit Papers

Tracking and promoting the usage of a COVID-19 contact tracing app 2021 · 151 citations
1510+5+10Years since publication100200300400

Peers

Will Lowe
Comparison fields: 5 of 121
  • Communication 528
  • General Social Sciences 227
  • Political Science and International Relations 1.1k
  • Sociology and Political Science 1.1k
  • Strategy and Management 325
Replace Jennifer Pan with:
Jennifer Pan United States
Slava Mikhaylov United Kingdom
Michael P. Colaresi United States
Daniel Diermeier United States
Jan Kleinnijenhuis Netherlands
Harald Schoen Germany
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Kevin M. Quinn United States
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Countries citing papers authored by Will Lowe

Since Specialization
Citations

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

Fields of papers citing papers by Will Lowe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Will Lowe. 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 Will Lowe. The network helps show where Will Lowe may publish in the future.

Co-authors

The 25 scholars most cited alongside Will Lowe, 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 Will Lowe Line = papers co-authored together Will Lowe links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Scaling Policy Preferences from Coded Political Texts
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2011467
2
Using Twitter to mobilize protest action: online mobilization patterns and action repertoires in the Occupy Wall Street, Indignados, and Aganaktismenoi movements
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2014344
3
An Automated Information Extraction Tool For International Conflict Data with Performance as Good as Human Coders: A Rare Events Evaluation Design
2003304
4
Administrative Records Mask Racially Biased Policing
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2020172
5
Tracking and promoting the usage of a COVID-19 contact tracing app
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2021151
6 2013146
7 2008138
8 2018117
9 2015104
10
Towards a Theory of Semantic Space
200196
11 200791
12 201368
13
The Direct Route: Mediated Priming in Semantic Space
200052
14 200326
15 201023
16
Practical methodology for predicting critical operating range of biological systems treating inhibitory substrates
198821
17 201820
18 201920
19 201219
20
Scaling Policy Positions From Coded Units of Political Texts
200918

About Will Lowe

Will Lowe is a scholar working on Political Science and International Relations, Sociology and Political Science, Artificial Intelligence, Communication and General Social Sciences, having authored 50 papers that have together received 2.5k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (11 papers), Social Media and Politics (8 papers), Computational and Text Analysis Methods (6 papers), Topic Modeling (5 papers), Advanced Text Analysis Techniques (4 papers), Natural Language Processing Techniques (3 papers), Political Conflict and Governance (3 papers) and Neurobiology of Language and Bilingualism (3 papers). The work is most often cited by research in Communication (528 citations), General Social Sciences (227 citations), Political Science and International Relations (1.1k citations), Sociology and Political Science (1.1k citations) and Strategy and Management (325 citations). Will Lowe has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Kenneth Benoit, Yannis Theocharis, Slava Mikhaylov, Michael Laver, Jan W. van Deth, Gema García-Albacete, Jonathan Mummolo, Dean Knox, Neil J. Mitchell and Sabine C. Carey. Their work appears in journals such as Legislative Studies Quarterly, Information Communication & Society, Political Science Research and Methods, Political Analysis and Journal of Peace Research.

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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