Lisa Calderwood

937 total citations
42 papers, 466 citations indexed

About

Lisa Calderwood is a scholar working on Health, Sociology and Political Science and General Health Professions. According to data from OpenAlex, Lisa Calderwood has authored 42 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Health, 19 papers in Sociology and Political Science and 10 papers in General Health Professions. Recurrent topics in Lisa Calderwood's work include Health disparities and outcomes (21 papers), Survey Methodology and Nonresponse (15 papers) and demographic modeling and climate adaptation (7 papers). Lisa Calderwood is often cited by papers focused on Health disparities and outcomes (21 papers), Survey Methodology and Nonresponse (15 papers) and demographic modeling and climate adaptation (7 papers). Lisa Calderwood collaborates with scholars based in United Kingdom, United States and Germany. Lisa Calderwood's co-authors include Ian Plewis, Denise Hawkes, Gad Nathan, Heather Joshi, Carol Dezateux, A Rosemary Tate, Brooke L. Bennett, Chantel M. Weisenmuller, C. Blair Burnette and Patrick L. Kerr and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Epidemiology and BMC Medical Research Methodology.

In The Last Decade

Lisa Calderwood

39 papers receiving 444 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Lisa Calderwood United Kingdom	10	142	127	94	92	89	42	466
Jutta Viinikainen Finland	13	86 0.6×	74 0.6×	114 1.2×	66 0.7×	97 1.1×	40	514
Julie S. Olson United States	10	96 0.7×	96 0.8×	75 0.8×	119 1.3×	104 1.2×	31	412
Catherine Bromley United Kingdom	12	121 0.9×	92 0.7×	139 1.5×	34 0.4×	119 1.3×	25	540
Martin O’Flaherty Australia	14	154 1.1×	60 0.5×	57 0.6×	142 1.5×	207 2.3×	44	620
Tam Perry United States	10	169 1.2×	131 1.0×	81 0.9×	147 1.6×	243 2.7×	44	685
Vida Maralani United States	11	228 1.6×	113 0.9×	42 0.4×	24 0.3×	101 1.1×	22	500
Shelagh K. Genuis Canada	14	118 0.8×	35 0.3×	116 1.2×	76 0.8×	190 2.1×	38	611
Sehar-un-Nisa Hassan Saudi Arabia	10	72 0.5×	81 0.6×	43 0.5×	192 2.1×	74 0.8×	35	439
Roger C. Gibson Jamaica	14	128 0.9×	182 1.4×	78 0.8×	195 2.1×	252 2.8×	49	726
Daniel Powers United States	10	167 1.2×	67 0.5×	53 0.6×	34 0.4×	86 1.0×	17	434

Countries citing papers authored by Lisa Calderwood

Since Specialization

Citations

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

Fields of papers citing papers by Lisa Calderwood

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Calderwood

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Calderwood. A scholar is included among the top collaborators of Lisa Calderwood 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 Lisa Calderwood. Lisa Calderwood 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

Fitzsimons, Emla, et al.. (2025). Reflections on the Design and Development of First 18 Years of the Millennium Cohort Study. European Psychologist. 30(3). 148–160.

Samanta, Damayanti, et al.. (2024). Resilience in rural health system. The Clinical Teacher. 21(4). e13726–e13726.

Silverwood, Richard J., Lisa Calderwood, Morag Henderson, Joseph W. Sakshaug, & George B. Ploubidis. (2024). A data-driven approach to understanding non-response and restoring sample representativeness in the UK Next Steps cohort. Longitudinal and Life Course Studies. 15(2). 227–250. 5 indexed citations

Henderson, Morag, et al.. (2024). Cohort Profile: Next Steps—the longitudinal study of people in England born in 1989–90. International Journal of Epidemiology. 53(6). 2 indexed citations

Calderwood, Lisa, et al.. (2023). Using linked administrative data to aid the handling of non-response and restore sample representativeness in cohort studies: the 1958 national child development study and hospital episode statistics data. BMC Medical Research Methodology. 23(1). 266–266. 2 indexed citations

Calderwood, Lisa, et al.. (2022). Psychological Impact of Coronavirus Disease-2019 on Healthcare Workers. 118(1). 26–31.

Sakshaug, Joseph W., Alexandru Cernat, Richard J. Silverwood, Lisa Calderwood, & George B. Ploubidis. (2020). Measurement Equivalence in Sequential Mixed-Mode Surveys. SHILAP Revista de lepidopterología. 7 indexed citations

Calderwood, Lisa, et al.. (2019). Participant engagement in longitudinal studies: current practice, opportunities and challenges. UCL Discovery (University College London). 3 indexed citations

Chatzitheochari, Stella, Kimberly Fisher, Emily Gilbert, et al.. (2017). Using New Technologies for Time Diary Data Collection: Instrument Design and Data Quality Findings from a Mixed-Mode Pilot Survey. Social Indicators Research. 137(1). 379–390. 46 indexed citations

10.

Plewis, Ian, Lisa Calderwood, & Tarek Mostafa. (2017). Can Interviewer Observations of the Interview Predict Future Response?. SHILAP Revista de lepidopterología. 1 indexed citations

11.

Chatzitheochari, Stella, et al.. (2015). A mixed-mode approach to measuring young peoples time use in the UK Millennium cohort study. UCL Discovery (University College London). 1 indexed citations

12.

Calderwood, Lisa, et al.. (2014). Web Surveys for the General Population: How, why and when?. 5 indexed citations

13.

Calderwood, Lisa, et al.. (2014). Web surveys for the general population : how, why and when ? Final report and recommendations. IRIS. 2 indexed citations

14.

Calderwood, Lisa. (2012). Tracking sample members in longitudinal studies. Survey Practice. 5(4). 1–4. 6 indexed citations

15.

Plewis, Ian, Sosthenes Ketende, & Lisa Calderwood. (2012). Assessing the accuracy of response propensities in longitudinal studies. Research Explorer (The University of Manchester). 38(2). 167–171. 5 indexed citations

16.

Calderwood, Lisa. (2010). Keeping in touch with mobile families in the UK Millennium Cohort Study. 5 indexed citations

17.

Plewis, Ian, Lisa Calderwood, & Sosthenes Ketende. (2010). Sample loss from cohort studies: patterns, characteristics and adjustments. 1 indexed citations

18.

Hockley, Christine, Maria Quigley, G. Hughes, et al.. (2007). Linking Millennium Cohort data to birth registration and hospital episode records. Paediatric and Perinatal Epidemiology. 22(1). 99–109. 22 indexed citations

19.

Tate, A Rosemary, Lisa Calderwood, Carol Dezateux, & Heather Joshi. (2005). Mother's consent to linkage of survey data with her child's birth records in a multi-ethnic national cohort study. International Journal of Epidemiology. 35(2). 294–298. 35 indexed citations

20.

Plewis, Ian, Lisa Calderwood, Denise Hawkes, & Gad Nathan. (2004). National Child Development Study and 1970 British Cohort Study Technical Report: Changes in the NCDS and BCS70 Populations and Samples over Time. 117 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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