Will Lowe

41 papers receiving 2.1k citations

Will Lowe's Hit Papers

Tracking and promoting the usage of a COVID-19 contact tracing app 2021 · 145 citations
1450+5+10Years since publication100200300400

Peers

Will Lowe
Comparison fields: 5 of 119
  • Communication 463
  • General Social Sciences 201
  • Political Science and International Relations 962
  • Sociology and Political Science 976
  • Strategy and Management 302
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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 43 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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2011439
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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2014279
3
An Automated Information Extraction Tool For International Conflict Data with Performance as Good as Human Coders: A Rare Events Evaluation Design
2003269
4
Administrative Records Mask Racially Biased Policing
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2020167
5
Tracking and promoting the usage of a COVID-19 contact tracing app
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2021145
6 2013137
7 2008121
8 2018111
9
Towards a Theory of Semantic Space
200188
10 200784
11 201584
12 201363
13
The Direct Route: Mediated Priming in Semantic Space
200046
14 200325
15 201023
16
Practical methodology for predicting critical operating range of biological systems treating inhibitory substrates
198821
17 201920
18
Scaling Policy Positions From Coded Units of Political Texts
200918
19 201818
20 201217

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 43 papers that have together received 2.3k indexed citations. Recurring topics across this work include Electoral Systems and Political Participation (10 papers), Social Media and Politics (8 papers), Computational and Text Analysis Methods (5 papers), Topic Modeling (4 papers), Natural Language Processing Techniques (3 papers), Advanced Causal Inference Techniques (3 papers), Advanced Text Analysis Techniques (3 papers) and COVID-19 epidemiological studies (2 papers). The work is most often cited by research in Communication (463 citations), General Social Sciences (201 citations), Political Science and International Relations (962 citations), Sociology and Political Science (976 citations) and Strategy and Management (302 citations). Will Lowe has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Kenneth Benoit, Michael Laver, Slava Mikhaylov, Yannis Theocharis, 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 Analysis, Political Science Research and Methods 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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