Nick Allum

6.5k citations
64 papers · 3.5k indexed · 2 hit papers · h-index 21

Nick Allum

56 papers receiving 3.1k citations

Hit Papers

Science knowledge and attitudes across cultures: a meta-a...4852004202620112018250500750

Peers

Nick Allum
Comparison fields: 5 of 163
  • Sociology and Political Science 2.0k
  • Communication 315
  • Management, Monitoring, Policy and Law 439
  • Social Psychology 405
  • Health 163
Replace Martín W. Bauer with:
Martín W. Bauer United Kingdom
Patrick Sturgis United Kingdom
Brigitte Nerlich United Kingdom
John C. Besley United States
Jon D. Miller United States
Wolfgang Wagner Austria
George Cvetkovich United States
Liselot Hudders Belgium
Dan Waldorf United States
Shirley S. Ho Singapore
Nick Allum relative to Martín W. Bauer United Kingdom Martín W. Bauer's profile →
Citations per field
00.5×1.5×
Martín W. Bauer · 1×
Citations per year

Countries citing papers authored by Nick Allum

Since Specialization
Citations

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

Fields of papers citing papers by Nick Allum

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20243
2 20245
3 20236
4 20232
5 20201
6 20200
7 20204
8 20202
9 20190
10 201735
11 201311
12 20128
13 2010153
14
An Experiment on the Measurement of Political Knowledge in Surveys
20090
15
The secondary analysis of survey data (four-volume set)
20090
16 200957
17 20074
18
Re-evaluating the individual level causes of trust: a panel data analysis
200716
19 200756
20 2004300

About Nick Allum

Nick Allum is a scholar working on Sociology and Political Science, Health, General Social Sciences, Communication and Statistics and Probability, having authored 64 papers that have together received 3.5k indexed citations. Recurring topics across this work include Climate Change Communication and Perception (17 papers), Risk Perception and Management (8 papers), Social Capital and Networks (7 papers), Genetically Modified Organisms Research (6 papers), Electoral Systems and Political Participation (5 papers), Environmental Education and Sustainability (5 papers), Health disparities and outcomes (5 papers) and Social Media and Politics (4 papers). The work is most often cited by research in Sociology and Political Science (2.0k citations), Communication (315 citations), Management, Monitoring, Policy and Law (439 citations), Social Psychology (405 citations) and Health (163 citations). Nick Allum has collaborated with scholars based in United Kingdom, Denmark and United States. Frequent co-authors include Patrick Sturgis, Martín W. Bauer, Ian Brunton‐Smith, S. Miller, George Gaskell, Nicole Kronberger, Helge Torgersen, Wolfgang Wagner, Sanna Read and Sally Stares. Their work appears in journals such as PLoS ONE, Public Understanding of Science, Public Opinion Quarterly, Risk Analysis and British Journal of Political Science.

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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