Nik Lomax

906 total citations
47 papers, 514 citations indexed

About

Nik Lomax is a scholar working on Management Science and Operations Research, General Health Professions and Sociology and Political Science. According to data from OpenAlex, Nik Lomax has authored 47 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Management Science and Operations Research, 9 papers in General Health Professions and 9 papers in Sociology and Political Science. Recurrent topics in Nik Lomax's work include demographic modeling and climate adaptation (11 papers), Health disparities and outcomes (8 papers) and Global Health Care Issues (7 papers). Nik Lomax is often cited by papers focused on demographic modeling and climate adaptation (11 papers), Health disparities and outcomes (8 papers) and Global Health Care Issues (7 papers). Nik Lomax collaborates with scholars based in United Kingdom, Denmark and United States. Nik Lomax's co-authors include Paul Norman, Stephen Clark, Michelle Morris, Philip Rees, John Stillwell, Brian Joseph Gillespie, Michael J. Thomas, Mark Birkin, Andrew Smith and Frances Darlington‐Pollock and has published in prestigious journals such as Scientific Reports, Social Science & Medicine and International Journal of Obesity.

In The Last Decade

Nik Lomax

45 papers receiving 497 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nik Lomax United Kingdom 15 178 122 120 81 76 47 514
Leonardo Grilli Italy 17 130 0.7× 17 0.1× 80 0.7× 164 2.0× 60 0.8× 55 764
Govert E. Bijwaard Netherlands 14 260 1.5× 26 0.2× 116 1.0× 150 1.9× 24 0.3× 71 726
Alessia Naccarato Italy 11 102 0.6× 28 0.2× 46 0.4× 153 1.9× 19 0.3× 46 480
L.J.G. van Wissen Netherlands 12 120 0.7× 60 0.5× 162 1.4× 97 1.2× 8 0.1× 31 424
Marcus Blake Australia 11 344 1.9× 97 0.8× 205 1.7× 132 1.6× 75 1.0× 15 557
Gonçalo Santinha Portugal 13 86 0.5× 97 0.8× 83 0.7× 60 0.7× 4 0.1× 64 575
Arturo Orellana Chile 9 205 1.2× 156 1.3× 30 0.3× 138 1.7× 5 0.1× 18 773
M L Senior United Kingdom 16 95 0.5× 242 2.0× 39 0.3× 211 2.6× 45 0.6× 32 693
Adam Dennett United Kingdom 12 166 0.9× 108 0.9× 78 0.7× 83 1.0× 25 0.3× 48 400

Countries citing papers authored by Nik Lomax

Since Specialization
Citations

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

Fields of papers citing papers by Nik Lomax

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nik Lomax

This figure shows the co-authorship network connecting the top 25 collaborators of Nik Lomax. A scholar is included among the top collaborators of Nik Lomax 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 Nik Lomax. Nik Lomax 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
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Kopasker, Daniel, RM Thomson, Theocharis Kromydas, et al.. (2024). Evaluating the influence of taxation and social security policies on psychological distress: A microsimulation study of the UK during the COVID-19 economic crisis. Social Science & Medicine. 351. 116953–116953. 3 indexed citations
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Clark, Stephen, et al.. (2023). Customer trends in take-away purchasing: Geospatial patterns of online food delivery platform usage in UK output areas. International Journal for Population Data Science. 8(3).
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Matthews, Brian, Jim W. Hall, Michael Batty, et al.. (2023). DAFNI: a computational platform to support infrastructure systems research. Research Explorer (The University of Manchester). 176(3). 108–116. 3 indexed citations
7.
Lomax, Nik, et al.. (2023). Dynamic calibration with approximate Bayesian computation for a microsimulation of disease spread. Scientific Reports. 13(1). 8637–8637. 5 indexed citations
8.
Morris, Michelle, et al.. (2022). Objectively measuring the association between the built environment and physical activity: a systematic review and reporting framework. International Journal of Behavioral Nutrition and Physical Activity. 19(1). 119–119. 19 indexed citations
9.
Lomax, Nik, et al.. (2021). Characterisation of Temporal Patterns in Step Count Behaviour from Smartphone App Data: An Unsupervised Machine Learning Approach. International Journal of Environmental Research and Public Health. 18(21). 11476–11476. 8 indexed citations
10.
Spooner, Fiona, Jesse F. Abrams, Karyn Morrissey, et al.. (2021). A dynamic microsimulation model for epidemics. Social Science & Medicine. 291. 114461–114461. 20 indexed citations
11.
Clark, Stephen, et al.. (2021). Clustering Accelerometer Activity Patterns from the UK Biobank Cohort. Sensors. 21(24). 8220–8220. 8 indexed citations
12.
Clark, Stephen, Michelle Morris, Nik Lomax, & Mark Birkin. (2021). Can a data driven obesity classification system identify those at risk of severe COVID-19 in the UK Biobank cohort study?. International Journal of Obesity. 45(10). 2281–2285. 2 indexed citations
13.
Lomax, Nik, et al.. (2021). Socio-demographic determinants of physical activity and app usage from smartphone data. Social Science & Medicine. 284. 114235–114235. 14 indexed citations
14.
Clark, Stephen, Mark Birkin, Nik Lomax, & Michelle Morris. (2020). Developing a whole systems obesity classification for the UK Biobank Cohort. RePEc: Research Papers in Economics. 2 indexed citations
15.
Clark, Stephen, Mark Birkin, Nik Lomax, & Michelle Morris. (2020). Can a data driven obesity classification system identify those at risk of severe COVID-19 in the UK Biobank cohort study?. OSF Preprints (OSF Preprints). 1 indexed citations
16.
James, William, Nik Lomax, Mark Birkin, & Lisa Collins. (2020). Geodemographic Patterns of Meat Expenditure in Great Britain. Applied Spatial Analysis and Policy. 14(3). 563–590. 4 indexed citations
17.
James, William, Nik Lomax, & Mark Birkin. (2019). Local level estimates of food, drink and tobacco expenditure for Great Britain. Scientific Data. 6(1). 56–56. 11 indexed citations
18.
Clark, Stephen, Michelle Morris, & Nik Lomax. (2018). Estimating the outcome of UKs referendum on EU membership using e-petition data and machine learning algorithms. Journal of Information Technology & Politics. 15(4). 344–357. 11 indexed citations
19.
Green, Mark, Duncan Radley, Nik Lomax, Michelle Morris, & Claire Griffiths. (2018). Is adolescent body mass index and waist circumference associated with the food environments surrounding schools and homes? A longitudinal analysis. BMC Public Health. 18(1). 482–482. 30 indexed citations
20.
Clark, Stephen & Nik Lomax. (2018). A mass-market appraisal of the English housing rental market using a diverse range of modelling techniques. Journal Of Big Data. 5(1). 43–43. 15 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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