Chris McWilliams

961 total citations
25 papers, 443 citations indexed

About

Chris McWilliams is a scholar working on Urban Studies, Sociology and Political Science and Finance. According to data from OpenAlex, Chris McWilliams has authored 25 papers receiving a total of 443 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Urban Studies, 5 papers in Sociology and Political Science and 5 papers in Finance. Recurrent topics in Chris McWilliams's work include Urban Planning and Governance (5 papers), Housing, Finance, and Neoliberalism (5 papers) and Machine Learning in Healthcare (4 papers). Chris McWilliams is often cited by papers focused on Urban Planning and Governance (5 papers), Housing, Finance, and Neoliberalism (5 papers) and Machine Learning in Healthcare (4 papers). Chris McWilliams collaborates with scholars based in United Kingdom, Ireland and Finland. Chris McWilliams's co-authors include Christopher Bourdeaux, Rebecca M. Perrett, Clive G. Bowsher, Margaritis Voliotis, Craig A. McArdle, Mark Boyle, Richard M. Wood, Christos Vasilakis, Matthew Thomas and José M. Montoya and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Chris McWilliams

22 papers receiving 423 citations

Peers

Chris McWilliams

SPS

EMS

Linda Nordling Sweden

Charles Rahal United Kingdom

Bianca Nogrady Australia

Claude Gilbert France

Diane Smith Australia

Christopher R. Hughes United Kingdom

Carlos Aguirre Chile

Tim Jacoby United Kingdom

Linda Nordling Sweden

Chris McWilliams

41 ×0.4

6 ×0.1

49 ×0.8

SPS

14 ×0.3

EMS

48 ×1.4

Citations per year, relative to Chris McWilliams Chris McWilliams (= 1×) peers Linda Nordling

Countries citing papers authored by Chris McWilliams

Since Specialization

Citations

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

Fields of papers citing papers by Chris McWilliams

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris McWilliams

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Sullivan, Brian, Edward D. Barker, Louis MacGregor, et al.. (2025). Comparing conventional and Bayesian workflows for clinical outcome prediction modelling with an exemplar cohort study of severe COVID-19 infection incorporating clinical biomarker test results. BMC Medical Informatics and Decision Making. 25(1). 123–123.

Fitzgerald, Megan, Alison K. Cohen, Julia Moore Vogel, et al.. (2024). A call from patient-researchers to advance research on long COVID. Cell. 187(20). 5490–5496. 2 indexed citations

Clark, Jeffrey N., et al.. (2023). Explainable hierarchical clustering for patient subtyping and risk prediction. Experimental Biology and Medicine. 248(24). 2547–2559. 4 indexed citations

Craddock, Ian, et al.. (2023). Design and Evaluation of an Intensive Care Unit Dashboard Built in Response to the COVID-19 Pandemic: Semistructured Interview Study. JMIR Human Factors. 10. e49438–e49438. 1 indexed citations

Santos‐Rodríguez, Raúl, et al.. (2023). CATS: Cloud-native time-series data annotation tool for intensive care. SoftwareX. 24. 101593–101593. 2 indexed citations

Davidson, Brittany I, et al.. (2022). Requirements for a Bespoke Intensive Care Unit Dashboard in Response to the COVID-19 Pandemic: Semistructured Interview Study. JMIR Human Factors. 9(2). e30523–e30523. 2 indexed citations

Davidson, Brittany I, et al.. (2022). Requirements for a Bespoke Intensive Care Unit Dashboard in Response to the COVID-19 Pandemic: Semistructured Interview Study.. PubMed. 9(2). e30523–e30523. 1 indexed citations

Wood, Richard M., Chris McWilliams, Ross D. Booton, et al.. (2021). The Value of Triage during Periods of Intense COVID-19 Demand: Simulation Modeling Study. Medical Decision Making. 41(4). 393–407. 16 indexed citations

Wood, Richard M., Chris McWilliams, Matthew Thomas, Christopher Bourdeaux, & Christos Vasilakis. (2020). COVID-19 scenario modelling for the mitigation of capacity-dependent deaths in intensive care. Health Care Management Science. 23(3). 315–324. 52 indexed citations

10.

McWilliams, Chris, Miguel Lurgi, José M. Montoya, Alix Sauve, & Daniel Montoya. (2019). The stability of multitrophic communities under habitat loss. Nature Communications. 10(1). 2322–2322. 46 indexed citations

11.

McWilliams, Chris, Daniel J. Lawson, Raúl Santos‐Rodríguez, et al.. (2019). Towards a decision support tool for intensive care discharge: machine learning algorithm development using electronic healthcare data from MIMIC-III and Bristol, UK. BMJ Open. 9(3). e025925–e025925. 57 indexed citations

12.

McWilliams, Chris, et al.. (2016). The nexus of displacement, asset vulnerability and the Right to the City: the case of the refugees and urban poor of Dar es Salaam, Tanzania. International Journal of Urban Sustainable Development. 9(1). 21–45. 7 indexed citations

13.

Wang, Ya Ping, et al.. (2016). Pro-poorness of planning policies in Bangladesh: the case of Khulna city. International Planning Studies. 22(2). 145–160. 8 indexed citations

14.

Voliotis, Margaritis, Rebecca M. Perrett, Chris McWilliams, Craig A. McArdle, & Clive G. Bowsher. (2014). Information transfer by leaky, heterogeneous, protein kinase signaling systems. Proceedings of the National Academy of Sciences. 111(3). E326–33. 74 indexed citations

15.

McWilliams, Chris, et al.. (2014). Civil Society Participation in Urban Development in Countries of the South: The Case of Syria. International Planning Studies. 20(3). 228–250. 1 indexed citations

16.

McWilliams, Chris. (2011). The Ashgate Research Companion to Planning Theory: Conceptual Challenges for Spatial Planning. Housing Studies. 26(2). 299–301. 46 indexed citations

17.

Pollard, David, et al.. (2006). Asymmetric reduction of α, β‐unsaturated ketone to (R) allylic alcohol by Candida chilensis. Biotechnology and Bioengineering. 93(4). 674–686. 29 indexed citations

18.

McWilliams, Chris & Judie Walton. (2005). Environmental rights and justice. 2 indexed citations

19.

McWilliams, Chris, et al.. (2004). Urban Policy in theNewScotland: The Role of Social Inclusion Partnerships. Space and Polity. 8(3). 309–319. 8 indexed citations

20.

McWilliams, Chris. (2004). Including the Community in Local Regeneration? The Case of Greater Pollok Social Inclusion Partnership. Local Economy The Journal of the Local Economy Policy Unit. 19(3). 264–275. 10 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

Breakdown of academic impact, for papers by Linda Nordling Breakdown of academic impact, for papers by Charles Rahal Breakdown of academic impact, for papers by Bianca Nogrady Breakdown of academic impact, for papers by Claude Gilbert Breakdown of academic impact, for papers by Diane Smith Breakdown of academic impact, for papers by Christopher R. Hughes Breakdown of academic impact, for papers by Carlos Aguirre Breakdown of academic impact, for papers by Tim Jacoby