Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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Lancaster University

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (2/2 displayed)

  • 2013Detecting insider threats to organizations through language change44citations
  • 2012Computerized crime linkage systems: A critical review and research agenda40citations

Places of action

Chart of shared publication
Dando, Coral
1 / 1 shared
Ormerod, Thomas
1 / 1 shared
Ball, Linden
1 / 1 shared
Jenkins, Marisa
1 / 1 shared
Sandham, Alexandra
1 / 1 shared
Menacere, Tarek
1 / 2 shared
Macdonald, Sarah
1 / 1 shared
Bennell, Craig
1 / 2 shared
House, John
1 / 1 shared
Snook, Brent
1 / 1 shared
Chart of publication period
2013
2012

Co-Authors (by relevance)

  • Dando, Coral
  • Ormerod, Thomas
  • Ball, Linden
  • Jenkins, Marisa
  • Sandham, Alexandra
  • Menacere, Tarek
  • Macdonald, Sarah
  • Bennell, Craig
  • House, John
  • Snook, Brent
OrganizationsLocationPeople

article

Computerized crime linkage systems: A critical review and research agenda

  • Macdonald, Sarah
  • Bennell, Craig
  • House, John
  • Snook, Brent
  • Taylor, Paul
Abstract

Computerized crime linkage systems are meant to assist the police in determining whether crimes have been committed by the same offender. In this article, the authors assess these systems critically and identify four assumptions that affect the effectiveness of these systems. These assumptions are that (a) data in the systems can be coded reliably, (b) data in the systems are accurate, (c) violent serial offenders exhibit consistent but distinctive patterns of behavior, and (d) analysts have the ability to use the data in the systems to link crimes accurately. The authors argue that there is no compelling empirical support for any of the four assumptions, and they outline a research agenda for testing each assumption. Until evidence supporting these assumptions becomes available, the value of linkage systems will remain open to debate.

Topics
  • impedance spectroscopy