Jennifer Badham

1.4k total citations
36 papers, 870 citations indexed

About

Jennifer Badham is a scholar working on General Health Professions, Modeling and Simulation and Statistical and Nonlinear Physics. According to data from OpenAlex, Jennifer Badham has authored 36 papers receiving a total of 870 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in General Health Professions, 9 papers in Modeling and Simulation and 8 papers in Statistical and Nonlinear Physics. Recurrent topics in Jennifer Badham's work include COVID-19 epidemiological studies (9 papers), Complex Network Analysis Techniques (7 papers) and Community Health and Development (6 papers). Jennifer Badham is often cited by papers focused on COVID-19 epidemiological studies (9 papers), Complex Network Analysis Techniques (7 papers) and Community Health and Development (6 papers). Jennifer Badham collaborates with scholars based in United Kingdom, Australia and United States. Jennifer Badham's co-authors include Ruth F. Hunter, Frank Kee, Rob Stocker, Mike Clarke, Kayla de la Haye, Thomas W. Valente, Jennifer Murray, Nigel Gilbert, Anthony J. Jakeman and Serena H. Hamilton and has published in prestigious journals such as The Lancet, PLoS Medicine and BMC Public Health.

In The Last Decade

Jennifer Badham

35 papers receiving 843 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jennifer Badham United Kingdom	15	189	138	101	97	94	36	870
Sara S. Metcalf United States	21	236 1.2×	203 1.5×	279 2.8×	99 1.0×	30 0.3×	54	1.3k
Nicholas N. Nagle United States	15	109 0.6×	278 2.0×	205 2.0×	77 0.8×	40 0.4×	39	879
Michael Leitner United States	28	118 0.6×	792 5.7×	249 2.5×	39 0.4×	37 0.4×	95	1.9k
Rachel Davis United States	13	193 1.0×	576 4.2×	75 0.7×	21 0.2×	31 0.3×	25	1.5k
Pete Barbrook-Johnson United Kingdom	13	97 0.5×	93 0.7×	105 1.0×	178 1.8×	22 0.2×	32	566
Jean‐Claude Deville France	10	125 0.7×	353 2.6×	64 0.6×	153 1.6×	11 0.1×	23	1.7k
Behrooz Hassani‐Mahmooei Australia	15	96 0.5×	160 1.2×	78 0.8×	63 0.6×	24 0.3×	32	703
Jill A. Dever United States	18	171 0.9×	571 4.1×	27 0.3×	42 0.4×	18 0.2×	44	1.5k
Edmund Chattoe‐Brown United Kingdom	12	100 0.5×	280 2.0×	50 0.5×	90 0.9×	258 2.7×	31	831
Brenda D. Phillips United States	18	172 0.9×	1.1k 8.3×	288 2.9×	24 0.2×	16 0.2×	41	1.5k

Countries citing papers authored by Jennifer Badham

Since Specialization

Citations

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

Fields of papers citing papers by Jennifer Badham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jennifer Badham

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

All Works

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20 of 20 papers shown

Elsenbroich, Corinna & Jennifer Badham. (2022). Negotiating a Future that is not like the Past. International Journal of Social Research Methodology. 26(2). 207–213. 3 indexed citations

Donnelly, Michael, et al.. (2021). A multi-method exploration into the social networks of young teenagers and their physical activity behavior. BMC Public Health. 21(1). 77–77. 5 indexed citations

McCartan, Claire, Gavin Davidson, Chris White, et al.. (2020). An exercise intervention for people with serious mental illness: Findings from a qualitative data analysis using participatory theme elicitation. Health Expectations. 23(6). 1579–1593. 10 indexed citations

Iwanaga, Takuya, Hsiao‐Hsuan Wang, Serena H. Hamilton, et al.. (2020). Socio-technical scales in socio-environmental modeling: Managing a system-of-systems modeling approach. Environmental Modelling & Software. 135. 104885–104885. 62 indexed citations

Hunter, Ruth F., Kayla de la Haye, Jennifer Murray, et al.. (2019). Social network interventions for health behaviours and outcomes: A systematic review and meta-analysis. PLoS Medicine. 16(9). e1002890–e1002890. 213 indexed citations

Badham, Jennifer, Helen McAneney, Laura Dunne, et al.. (2019). The importance of social environment in preventing smoking: an analysis of the Dead Cool intervention. BMC Public Health. 19(1). 1182–1182. 5 indexed citations

Best, Paul, et al.. (2019). Group based video-conferencing for adults with depression: findings from a user-led qualitative data analysis using participatory theme elicitation. Research Involvement and Engagement. 5(1). 40–40. 6 indexed citations

Best, Paul, Roisin O’Neill, Frank Kee, et al.. (2019). A feasibility study of ‘The StepSmart Challenge’ to promote physical activity in adolescents. Pilot and Feasibility Studies. 5(1). 132–132. 29 indexed citations

Badham, Jennifer, Sondoss Elsawah, Joseph H. A. Guillaume, et al.. (2019). Effective modeling for Integrated Water Resource Management: A guide to contextual practices by phases and steps and future opportunities. Environmental Modelling & Software. 116. 40–56. 99 indexed citations

10.

Badham, Jennifer, Frank Kee, & Ruth F. Hunter. (2019). Effectiveness variation in simulated school-based network interventions. Applied Network Science. 4(1). 7 indexed citations

11.

Badham, Jennifer, Edmund Chattoe‐Brown, Nigel Gilbert, et al.. (2018). Developing agent-based models of complex health behaviour. Health & Place. 54. 170–177. 57 indexed citations

12.

Badham, Jennifer, Frank Kee, & Ruth F. Hunter. (2018). Simulating network intervention strategies: Implications for adoption of behaviour. Network Science. 6(2). 265–280. 17 indexed citations

13.

Best, Paul, Jennifer Badham, Roisin F O'Neill, et al.. (2017). Network methods to support user involvement in qualitative data analyses: an introduction to Participatory Theme Elicitation. Trials. 18(1). 559–559. 19 indexed citations

14.

Hunter, Ruth F., Kayla de la Haye, Jennifer Badham, et al.. (2017). Social network interventions for health behaviour change: a systematic review. The Lancet. 390. S47–S47. 17 indexed citations

15.

Badham, Jennifer, et al.. (2017). Calibrating with Multiple Criteria: A Demonstration of Dominance. Journal of Artificial Societies and Social Simulation. 20(2). 6 indexed citations

16.

Barbrook-Johnson, Pete, Jennifer Badham, & Nigel Gilbert. (2016). Uses of Agent-Based Modeling for Health Communication: the TELL ME Case Study. Health Communication. 32(8). 939–944. 20 indexed citations

17.

Elsenbroich, Corinna & Jennifer Badham. (2016). The Extortion Relationship: A Computational Analysis. Journal of Artificial Societies and Social Simulation. 19(4). 11 indexed citations

18.

Badham, Jennifer & Rob Stocker. (2009). The impact of network clustering and assortativity on epidemic behaviour. Theoretical Population Biology. 77(1). 71–75. 53 indexed citations

19.

Badham, Jennifer, Hussein A. Abbass, & Rob Stocker. (2008). Parameterisation of Keeling’s network generation algorithm. Theoretical Population Biology. 74(2). 161–166. 7 indexed citations

20.

Badham, Jennifer. (1998). Future financial impact of the current health financing system. Australian Health Review. 21(4). 96–110. 3 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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