Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies
if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the
same subfield and year (this is the minimum needed to enter the top 1%, not the average
within it), or reaches the top citation threshold in at least one of its specific research
topics.
What works?Evidence-based policy and practice in public services
2000626 citationsHuw Davies, Sandra Nutley et al.Policy Press eBooksprofile →
On the unintended consequences of publishing performance data in the public sector
This map shows the geographic impact of Peter Smith'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 Peter Smith with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Peter Smith more than expected).
This network shows the impact of papers produced by Peter Smith. 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 Peter Smith. The network helps show where Peter Smith may publish in the future.
Co-authorship network of co-authors of Peter Smith
This figure shows the co-authorship network connecting the top 25 collaborators of Peter Smith.
A scholar is included among the top collaborators of Peter Smith 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 Peter Smith. Peter Smith is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Cashin, Cheryl, Y-Ling Chi, Peter Smith, Michael J. Borowitz, & Sarah Thomson. (2014). Paying For Performance In Healthcare: Implications For Health System Performance And Accountability. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 17–29.68 indexed citations
5.
Smith, Jackie, Marina Karides, Marc Becker, et al.. (2014). Global democracy and the World Social Forum. Second edition. Cadmus - EUI Research Repository (European University Institute).1 indexed citations
Mumford, Karen & Peter Smith. (2009). What Determines the Part-Time and Gender Earnings Gaps in Britain: Evidence from the Workplace. SSRN Electronic Journal.1 indexed citations
Jordan, D W & Peter Smith. (2007). Nonlinear ordinary differential equations : an introduction for scientists and engineers. Oxford University Press eBooks.206 indexed citations
Davies, Huw, Sandra Nutley, & Peter Smith. (2000). What works?Evidence-based policy and practice in public services. Policy Press eBooks.626 indexed citations breakdown →
Smith, Peter. (2000). Reforming markets in health care : an economic perspective. Open University Press eBooks.30 indexed citations
16.
Jordan, D W & Peter Smith. (1999). Nonlinear ordinary differential equations : an introduction to dynamical systems. CERN Document Server (European Organization for Nuclear Research).143 indexed citations
17.
Goddard, Maria, Russell Mannion, & Peter Smith. (1998). Performance indicators. All quiet on the front line.. PubMed. 108(5604). 24–6.6 indexed citations
18.
Chaparro, Francisco Pedraja, et al.. (1994). La restricción de las ponderaciones en el análisis envolvente de datos: una fórmula para mejorar la evaluación de la eficiencia. Investigación Económica. 18(2). 365–380.4 indexed citations
19.
Smith, Peter. (1992). Controlling traffic congestion by regulating car ownership: Singapore's recent experience. ePrints Soton (University of Southampton).12 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.