Duncan Shaw

9.0k total citations
146 papers, 4.0k citations indexed

About

Duncan Shaw is a scholar working on Sociology and Political Science, Strategy and Management and Management Science and Operations Research. According to data from OpenAlex, Duncan Shaw has authored 146 papers receiving a total of 4.0k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Sociology and Political Science, 30 papers in Strategy and Management and 29 papers in Management Science and Operations Research. Recurrent topics in Duncan Shaw's work include Complex Systems and Decision Making (26 papers), Disaster Management and Resilience (24 papers) and Innovation and Knowledge Management (16 papers). Duncan Shaw is often cited by papers focused on Complex Systems and Decision Making (26 papers), Disaster Management and Resilience (24 papers) and Innovation and Knowledge Management (16 papers). Duncan Shaw collaborates with scholars based in United Kingdom, United States and Norway. Duncan Shaw's co-authors include R. E. Gordon, John S. Edwards, John A. A. Sillince, Paula Jarzabkowski, Chris Smith, P.E. Hanley, Judy Scully, Paul Collier, Gerome Breen and Christopher P. Holland and has published in prestigious journals such as Nature, Science and The Lancet.

In The Last Decade

Duncan Shaw

144 papers receiving 3.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Duncan Shaw United Kingdom 37 790 616 564 557 485 146 4.0k
John A. Wagner United States 37 1.2k 1.5× 530 0.9× 120 0.2× 999 1.8× 310 0.6× 130 7.1k
Arun K. Jain India 36 590 0.7× 320 0.5× 617 1.1× 395 0.7× 226 0.5× 265 6.4k
Jae K. Lee United States 27 328 0.4× 2.7k 4.4× 228 0.4× 327 0.6× 74 0.2× 68 5.2k
Anthony F. J. van Raan Netherlands 52 694 0.9× 416 0.7× 62 0.1× 1.1k 2.0× 521 1.1× 144 9.4k
John Rice Australia 40 401 0.5× 251 0.4× 87 0.2× 678 1.2× 495 1.0× 176 6.2k
J. E. Hirsch United States 5 537 0.7× 344 0.6× 214 0.4× 593 1.1× 282 0.6× 5 8.4k
Christoph Fuchs Germany 27 1.5k 1.8× 103 0.2× 228 0.4× 532 1.0× 165 0.3× 104 4.8k
Xin Li China 44 987 1.2× 700 1.1× 149 0.3× 326 0.6× 596 1.2× 558 8.9k
A. Schubert Hungary 44 325 0.4× 403 0.7× 62 0.1× 503 0.9× 243 0.5× 217 6.6k
Kevin W. Boyack United States 38 885 1.1× 799 1.3× 76 0.1× 727 1.3× 400 0.8× 92 7.8k

Countries citing papers authored by Duncan Shaw

Since Specialization
Citations

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

Fields of papers citing papers by Duncan Shaw

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Duncan Shaw

This figure shows the co-authorship network connecting the top 25 collaborators of Duncan Shaw. A scholar is included among the top collaborators of Duncan Shaw 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 Duncan Shaw. Duncan Shaw 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.
Shaw, Duncan, et al.. (2024). The Role of Essential Businesses in Whole-of-Society Resilience to Disruption. Academy of Management Perspectives. 39(2). 227–249.
2.
O’Grady, Nathaniel & Duncan Shaw. (2023). Disaster reparations? Rethinking disaster recovery through the politics of affect. Geographical Journal. 189(3). 514–525. 9 indexed citations
3.
Shaw, Duncan & Judy Scully. (2023). The foundations of influencing policy and practice: How risk science discourse shaped government action during COVID‐19. Risk Analysis. 44(12). 2889–2905. 3 indexed citations
4.
O’Grady, Nathaniel, et al.. (2022). People in a pandemic: Rethinking the role of ‘Community’ in community resilience practices. Geoforum. 132. 32–41. 11 indexed citations
5.
Shaw, Duncan, et al.. (2022). Post-COVID recovery and renewal through whole-of-society resilience in cities. Journal of Safety Science and Resilience. 3(3). 222–228. 10 indexed citations
6.
Bakhshi, Hasan, et al.. (2015). Assessing an experimental approach to industrial policy evaluation: Applying RCT+ to the case of Creative Credits. Research Policy. 44(8). 1462–1472. 28 indexed citations
7.
Boyd, Alan S., et al.. (2012). A scoping study of emergency planning and management in health care: What further research is needed? Final report.. Research Explorer (The University of Manchester). 6 indexed citations
8.
Dean, John, Victoria Louise Reid, Peter D. Turnpenny, et al.. (2007). Fetal anticonvulsant syndromes and polymorphisms in MTHFR, MTR, and MTRR. American Journal of Medical Genetics Part A. 143A(19). 2303–2311. 21 indexed citations
9.
Dean, John, Victoria Louise Reid, Susan Moore, et al.. (2007). A high frequency of the MTHFR 677C>T polymorphism in Scottish women with epilepsy: Possible role in pathogenesis. Seizure. 17(3). 269–275. 21 indexed citations
10.
Albores, Pável & Duncan Shaw. (2005). Responding to terrorist attacks and natural disasters: a case study using simulation. Winter Simulation Conference. 886–894. 2 indexed citations
11.
Kawalek, Peter, et al.. (2004). A Local Government CRM Maturity Model: a component in the transformational change of UK councils. Journal of the Association for Information Systems. 132. 5 indexed citations
12.
Shaw, Duncan, et al.. (2003). Achieving closure through knowledge management strategy.. Electronic Journal of Knowledge Management. 1(2). 197–205. 7 indexed citations
13.
Shaw, Duncan. (2001). Facilitator bias during groupwork: Unwittingly directing (or strategically driving) towards an outcome. Aston Publications Explorer (Aston University). 20(1). 143–144. 2 indexed citations
14.
Forsberg, G., Lennart Ohlsson, Thomas Brodin, et al.. (2001). Therapy of human non-small-cell lung carcinoma using antibody targeting of a modified superantigen. British Journal of Cancer. 85(1). 129–136. 54 indexed citations
15.
Breen, Gerome, John Brown, Helen Fox, et al.. (1999). ?141 C Del/Ins polymorphism of the dopamine receptor 2 gene is associated with schizophrenia in a British population. American Journal of Medical Genetics. 88(4). 407–410. 52 indexed citations
16.
Buxton, Jessica L., Peggy Shelbourne, June Davies, et al.. (1992). Characterization of a YAC and cosmid contig containing markers tightly linked to the myotonic dystrophy locus on chromosome 19. Genomics. 13(3). 526–531. 7 indexed citations
17.
Richards, Robert I., Katherine Holman, Yang Shen, et al.. (1991). Human glandular kallikrein genes: Genetic and physical mapping of the KLK1 locus using a highly polymorphic microsatellite PCR marker. Genomics. 11(1). 77–82. 23 indexed citations
18.
Oerlemans, Frank, H.J.M. Smeets, Jan Schepens, et al.. (1989). Definition of subchromosomal intervals around the myotonic dystrophy gene region at 19q. Genomics. 4(3). 384–396. 67 indexed citations
19.
Shaw, Duncan, Néstor Míguez, & Paul Preston. (1987). Futbol y franquismo. Alianza eBooks. 30 indexed citations
20.
Shaw, Duncan, et al.. (1981). HUMAN-MUSCLE ANALYZED BY P-31 NUCLEAR MAGNETIC-RESONANCE IN INTACT SUBJECTS. UCL Discovery (University College London). 4 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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