Philip Sinclair

780 total citations
22 papers, 597 citations indexed

About

Philip Sinclair is a scholar working on Sociology and Political Science, Statistical and Nonlinear Physics and Management, Monitoring, Policy and Law. According to data from OpenAlex, Philip Sinclair has authored 22 papers receiving a total of 597 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Sociology and Political Science, 6 papers in Statistical and Nonlinear Physics and 4 papers in Management, Monitoring, Policy and Law. Recurrent topics in Philip Sinclair's work include Complex Network Analysis Techniques (6 papers), Environmental Impact and Sustainability (4 papers) and Social Acceptance of Renewable Energy (4 papers). Philip Sinclair is often cited by papers focused on Complex Network Analysis Techniques (6 papers), Environmental Impact and Sustainability (4 papers) and Social Acceptance of Renewable Energy (4 papers). Philip Sinclair collaborates with scholars based in United Kingdom, Netherlands and Australia. Philip Sinclair's co-authors include Roland Clift, Jo Holliday, Laurence Moore, Christian Steglich, Calliope Panoutsou, Ausilio Bauen, Lucia Elghali, Shane Fudge, Michael Peters and Liesbeth Mercken and has published in prestigious journals such as Renewable and Sustainable Energy Reviews, Journal of Cleaner Production and Energy Policy.

In The Last Decade

Philip Sinclair

21 papers receiving 556 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Sinclair United Kingdom 12 149 114 68 67 65 22 597
Andrew R. Binder United States 17 430 2.9× 36 0.3× 22 0.3× 30 0.4× 149 2.3× 27 947
John M. Ryan United States 8 49 0.3× 93 0.8× 31 0.5× 15 0.2× 21 0.3× 36 598
Jessica L. Heier Stamm United States 14 99 0.7× 28 0.2× 142 2.1× 8 0.1× 42 0.6× 27 619
Alexandra S. Penn United Kingdom 13 115 0.8× 41 0.4× 75 1.1× 14 0.2× 21 0.3× 35 525
Patrick Miller United States 16 89 0.6× 96 0.8× 29 0.4× 4 0.1× 54 0.8× 39 991
Vicente Carabias-Hütter Switzerland 10 100 0.7× 46 0.4× 44 0.6× 5 0.1× 121 1.9× 43 567
Lourdes Castelló‐Cogollos Spain 12 44 0.3× 28 0.2× 15 0.2× 12 0.2× 20 0.3× 48 548
Jeroen Struben United States 13 66 0.4× 38 0.3× 135 2.0× 5 0.1× 35 0.5× 21 794
Pius Krütli Switzerland 17 420 2.8× 36 0.3× 41 0.6× 6 0.1× 127 2.0× 53 1.1k
Ju-­Sung Lee Netherlands 9 120 0.8× 25 0.2× 8 0.1× 44 0.7× 13 0.2× 19 529

Countries citing papers authored by Philip Sinclair

Since Specialization
Citations

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

Fields of papers citing papers by Philip Sinclair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Sinclair

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Sinclair. A scholar is included among the top collaborators of Philip Sinclair 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 Philip Sinclair. Philip Sinclair 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.
Rodríguez, Aryelly, Linda Williams, Steff Lewis, et al.. (2025). Evaluating re-identification risks scores in publicly available clinical trial datasets: Insights and implications. Clinical Trials. 22(6). 649–666. 1 indexed citations
2.
Arena, Noemi, Philip Sinclair, Jacquetta Lee, & Roland Clift. (2016). Life cycle engineering of production, use and recovery of self-chilling beverage cans. Journal of Cleaner Production. 142. 1562–1570. 13 indexed citations
3.
Sinclair, Philip, Michael Peters, & Shane Fudge. (2015). Introducing “ecoputation”: A universal systems design process. Renewable and Sustainable Energy Reviews. 46. 311–330.
4.
5.
Mercken, Liesbeth, Christian Steglich, Philip Sinclair, Jo Holliday, & Laurence Moore. (2012). A longitudinal social network analysis of peer influence, peer selection, and smoking behavior among adolescents in British schools.. Health Psychology. 31(4). 450–459. 112 indexed citations
6.
Fudge, Shane, et al.. (2012). The Potential for Community Groups to Promote Sustainable Living. The International Journal of Interdisciplinary Social Sciences Annual Review. 6(8). 35–54. 5 indexed citations
7.
Sinclair, Philip. (2011). The political networks of Mexico and measuring centralization. Procedia - Social and Behavioral Sciences. 10. 26–35. 8 indexed citations
8.
Sinclair, Philip. (2011). “Describing the elephant”: A framework for supporting sustainable development processes. Renewable and Sustainable Energy Reviews. 15(6). 2990–2998. 19 indexed citations
9.
Peters, Michael, Shane Fudge, & Philip Sinclair. (2010). Mobilising community action towards a low-carbon future: Opportunities and challenges for local government in the UK. Energy Policy. 38(12). 7596–7603. 70 indexed citations
10.
Steglich, Christian, Philip Sinclair, Jo Holliday, & Laurence Moore. (2010). Actor-based analysis of peer influence in A Stop Smoking In Schools Trial (ASSIST). Social Networks. 34(3). 359–369. 54 indexed citations
11.
Sinclair, Philip. (2009). Network centralization with the Gil Schmidt power centrality index. Social Networks. 31(3). 214–219. 28 indexed citations
12.
Elghali, Lucia, Roland Clift, Philip Sinclair, Calliope Panoutsou, & Ausilio Bauen. (2007). Developing a sustainability framework for the assessment of bioenergy systems. Energy Policy. 35(12). 6075–6083. 146 indexed citations
13.
Druckman, Angela, Philip Sinclair, & Tim Jackson. (2007). A geographically and socio-economically disaggregated local household consumption model for the UK. Journal of Cleaner Production. 16(7). 870–880. 28 indexed citations
14.
Sinclair, Philip, Sarah J. Cowell, Ragnar E. Löfstedt, & Roland Clift. (2007). A CASE STUDY IN PARTICIPATORY ENVIRONMENTAL SYSTEMS ASSESSMENT WITH THE USE OF MULTIMEDIA MATERIALS AND QUANTITATIVE LCA. Journal of Environmental Assessment Policy and Management. 9(4). 399–421. 8 indexed citations
15.
Sinclair, Philip, et al.. (2005). Towards an Integrated Regional Materials Flow Accounting Model. Journal of Industrial Ecology. 9(1-2). 69–84. 16 indexed citations
16.
Sinclair, Philip. (2004). On removable even circuits in graphs. Discrete Mathematics. 286(3). 177–184. 1 indexed citations
17.
Everett, Martin G., Philip Sinclair, & Peter Dankelmann. (2004). SOME CENTRALITY RESULTS NEW AND OLD. Journal of Mathematical Sociology. 28(4). 215–227. 24 indexed citations
18.
Sinclair, Philip & Ragnar E. Löfstedt. (2001). The influence of trust in a biomass plant application: the case study of Sutton, UK. Biomass and Bioenergy. 21(3). 177–184. 21 indexed citations
19.
Sinclair, Philip. (1997). The construction and reduction of strong snarks. Discrete Mathematics. 167-168. 553–570. 2 indexed citations
20.
Sinclair, Philip, et al.. (1980). TRAPPING ADULT MACADAMIA NUT BORER, CRYPTOPHLEBIA OMBRODELTA (LOWER) (LEPIDOPTERA: TORTRICIDAE). Australian Journal of Entomology. 19(3). 211–216. 7 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.

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