Daniel Birks

889 citations
30 papers · 458 · h-index 12

Impact in

Papers in

Daniel Birks

29 papers receiving 416 citations

Peers

Daniel Birks
Comparison fields: 5 of 69
  • Health Informatics 13
  • Sociology and Political Science 353
  • Transportation 45
  • Health 35
  • Safety, Risk, Reliability and Quality 36
Replace Tarah Hodgkinson with:
Tarah Hodgkinson Canada
Rachel Armitage United Kingdom
Paul Ekblom United Kingdom
Alexander Hirschfield United Kingdom
Gisela Bichler United States
Wouter Steenbeek Netherlands
Matthew Valasik United States
Gian Maria Campedelli Italy
Martha J. Smith United States
Lucía Summers United States
Daniel Birks relative to Tarah Hodgkinson Canada Tarah Hodgkinson's profile →
Citations per field
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Citations per year

Countries citing papers authored by Daniel Birks

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Birks

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201271
2 201458
3 201544
4 201038
5 201733
6 202029
7 200724
8 202320
9 201817
10 200816
11 202015
12 201314
13
Prospective Mapping in Operational Context
200710
14
The Use and Impact of Police Diversion for Reducing Indigenous Over-Representation
20109
15 20238
16 20237
17 20086
18 20176
19 20226
20 20215

About Daniel Birks

Daniel Birks is a scholar working on Sociology and Political Science, Political Science and International Relations, Information Systems, Clinical Psychology and Transportation, having authored 30 papers that have together received 458 indexed citations. Recurring topics across this work include Crime Patterns and Interventions (20 papers), Crime, Illicit Activities, and Governance (13 papers), Policing Practices and Perceptions (6 papers), Cybercrime and Law Enforcement Studies (5 papers), Traffic and Road Safety (3 papers), Gambling Behavior and Treatments (3 papers), Land Use and Ecosystem Services (3 papers) and Transportation Planning and Optimization (3 papers). The work is most often cited by research in Health Informatics (13 citations), Sociology and Political Science (353 citations), Transportation (45 citations), Health (35 citations) and Safety, Risk, Reliability and Quality (36 citations). Daniel Birks has collaborated with scholars based in United Kingdom, Australia and Netherlands. Frequent co-authors include Michael Townsley, Anna Stewart, Shane D. Johnson, Wim Bernasco, Stijn Ruiter, Gentry White, T. Davies, Kate Bowers, Joseph Clare and Graham Farrell. Their work appears in journals such as Crime Science, Journal of Research in Crime and Delinquency, Criminology, International Review of Law Computers & Technology and Computers Environment and Urban Systems.

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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