Ken Pease

4.1k total citations
143 papers, 2.5k citations indexed

About

Ken Pease is a scholar working on Sociology and Political Science, Nature and Landscape Conservation and General Health Professions. According to data from OpenAlex, Ken Pease has authored 143 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 105 papers in Sociology and Political Science, 17 papers in Nature and Landscape Conservation and 17 papers in General Health Professions. Recurrent topics in Ken Pease's work include Crime Patterns and Interventions (82 papers), Crime, Illicit Activities, and Governance (38 papers) and Criminal Justice and Corrections Analysis (35 papers). Ken Pease is often cited by papers focused on Crime Patterns and Interventions (82 papers), Crime, Illicit Activities, and Governance (38 papers) and Criminal Justice and Corrections Analysis (35 papers). Ken Pease collaborates with scholars based in United Kingdom, United States and Canada. Ken Pease's co-authors include Graham Farrell, Robert J. Barr, Andromachi Tseloni, Shane D. Johnson, Lucía Summers, Coretta Phillips, Alan Trickett, Dan Ellingworth, Denise R. Osborn and Julie Seymour and has published in prestigious journals such as Child Abuse & Neglect, British Journal of Sociology and Progress in Neuro-Psychopharmacology and Biological Psychiatry.

In The Last Decade

Ken Pease

136 papers receiving 2.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Ken Pease United Kingdom 24 2.2k 355 332 306 299 143 2.5k
Nick Tilley United Kingdom 27 1.8k 0.8× 254 0.7× 235 0.7× 506 1.7× 222 0.7× 119 2.4k
Andromachi Tseloni United Kingdom 21 1.8k 0.8× 177 0.5× 261 0.8× 239 0.8× 261 0.9× 66 2.0k
Leslie W. Kennedy United States 33 2.7k 1.3× 417 1.2× 538 1.6× 519 1.7× 326 1.1× 94 3.4k
Jacqueline Cohen United States 25 2.6k 1.2× 818 2.3× 273 0.8× 417 1.4× 178 0.6× 47 3.1k
Patrick R. Gartin United States 6 1.6k 0.8× 202 0.6× 313 0.9× 268 0.9× 240 0.8× 7 1.8k
David M. Hureau United States 16 2.0k 0.9× 296 0.8× 570 1.7× 413 1.3× 193 0.6× 27 2.3k
Derek Cornish United States 11 1.9k 0.9× 416 1.2× 144 0.4× 160 0.5× 379 1.3× 13 2.3k
Edmund F. McGarrell United States 29 2.1k 1.0× 432 1.2× 577 1.7× 327 1.1× 307 1.0× 107 2.7k
Sue‐Ming Yang United States 18 2.3k 1.1× 201 0.6× 289 0.9× 390 1.3× 306 1.0× 28 2.5k
Gerben Bruinsma Netherlands 23 1.4k 0.6× 260 0.7× 118 0.4× 261 0.9× 189 0.6× 55 1.7k

Countries citing papers authored by Ken Pease

Since Specialization
Citations

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

Fields of papers citing papers by Ken Pease

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ken Pease

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

All Works

20 of 20 papers shown
1.
Pease, Ken. (2023). Beating crime or marking time? Crime research and crime policy: a personal view of the UK government’s approach. Crime Prevention and Community Safety. 25(2). 117–130. 1 indexed citations
2.
Pease, Ken, et al.. (2023). Crime prevention research: How can it be shared across language barriers?. Crime Prevention and Community Safety. 25(2). 166–178.
3.
Pease, Ken & Andromachi Tseloni. (2014). Using modelling to predict and prevent victimisation. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 4 indexed citations
4.
Matthews, Roger, et al.. (2007). Assessing the use and impact of Anti-Social Behaviour Orders. Policy Press eBooks. 1 indexed citations
5.
Johnson, Samson A., et al.. (2007). Prospective Mapping in Operational Context. UCL Discovery (University College London). 10 indexed citations
6.
Matthews, Roger, et al.. (2007). Assessing the Use and Impact of Anti-Social Behaviour Orders. Bristol University Press eBooks. 4 indexed citations
7.
Farrell, Graham & Ken Pease. (2006). Preventing repeat residential burglary. Loughborough University Institutional Repository (Loughborough University). 3 indexed citations
8.
Townsley, Michael, et al.. (2006). First Impressions Count: Serious detections arising from Criminal Justice Samples. Griffith Research Online (Griffith University, Queensland, Australia). 2(1). 28–40. 7 indexed citations
9.
Townsley, Michael, et al.. (2005). Using DNA to catch offenders quicker: serious detections arising from criminal justice samples.. Loughborough University Institutional Repository (Loughborough University). 3 indexed citations
10.
Tseloni, Andromachi, Karin Wittebrood, Graham Farrell, & Ken Pease. (2004). Burglary victimisation in the U.S., England and Wales, and the Netherlands: Cross-national comparison of routine activity patterns. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository). 5 indexed citations
11.
Brookes, Stephen, et al.. (2003). Data sharing and crime prevention: the long and winding road. Crime Prevention and Community Safety. 5(4). 7–14. 1 indexed citations
12.
Wiles, Paul, et al.. (2003). Crime Victimization: Its Extent and Communication. Journal of the Royal Statistical Society Series A (Statistics in Society). 166(2). 247–252. 5 indexed citations
13.
Farrell, Graham, Andromachi Tseloni, Brian Wiersema, & Ken Pease. (2001). Victim careers and 'career victims'? [In: Farrell, G. and Pease, K., eds., Repeat victimisation, Crime Prevention Studies, vol. 12]. Nottingham Trent University's Institutional Repository (Nottingham Trent Repository).
14.
Pease, Ken. (1999). Uses of criminal statistics. Ashgate eBooks. 1 indexed citations
15.
Pease, Ken & Gloria Laycock. (1999). Revictimisation: Reducing the heat on hot victims. Trends and issues in crime and criminal justice. 37 indexed citations
16.
Gill, Martin & Ken Pease. (1998). Repeat Robbers: Are They Different?. Palgrave Macmillan Books. 143–153. 6 indexed citations
17.
Ellingworth, Dan, Graham Farrell, & Ken Pease. (1995). A VICTIM IS A VICTIM IS A VICTIM?. The British Journal of Criminology. 35(3). 360–365. 62 indexed citations
18.
Ranyard, Rob, Bill Hebenton, & Ken Pease. (1994). An Analysis of a Guideline Case as Applied to the Offence of Rape. The Howard Journal of Criminal Justice. 33(3). 203–217. 7 indexed citations
19.
Farrell, Graham & Ken Pease. (1993). Once bitten, twice bitten: repeat victimisation and its implications for crime prevention. Loughborough University Institutional Repository (Loughborough University). 140 indexed citations
20.
Farrell, Graham, et al.. (1991). Multiple victimisation in Northern Ireland. Loughborough University Institutional Repository (Loughborough University). 139(2). 117–119. 1 indexed citations

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026