L Rutherford

1.2k total citations
9 papers, 218 citations indexed

About

L Rutherford is a scholar working on General Health Professions, Health and Management Science and Operations Research. According to data from OpenAlex, L Rutherford has authored 9 papers receiving a total of 218 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in General Health Professions, 6 papers in Health and 3 papers in Management Science and Operations Research. Recurrent topics in L Rutherford's work include Health disparities and outcomes (6 papers), Food Security and Health in Diverse Populations (5 papers) and Healthcare Policy and Management (3 papers). L Rutherford is often cited by papers focused on Health disparities and outcomes (6 papers), Food Security and Health in Diverse Populations (5 papers) and Healthcare Policy and Management (3 papers). L Rutherford collaborates with scholars based in United Kingdom and United States. L Rutherford's co-authors include Clare Sharp, Linsay Gray, Gerry McCartney, Alastair H. Leyland, Srinivasa Vittal Katikireddi, Ian R. White, Lesley Graham, Mark Robinson, Rachelle McDonald Willis and Rodney A. Stewart and has published in prestigious journals such as The Lancet, American Journal of Epidemiology and Addiction.

In The Last Decade

L Rutherford

9 papers receiving 212 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
L Rutherford United Kingdom	5	82	73	55	47	41	9	218
Jaakko Reinikainen Finland	9	73 0.9×	76 1.0×	47 0.9×	29 0.6×	26 0.6×	24	305
Robert Pryce United Kingdom	11	140 1.7×	55 0.8×	42 0.8×	150 3.2×	33 0.8×	32	298
Shurong Lu China	11	84 1.0×	72 1.0×	80 1.5×	75 1.6×	23 0.6×	27	314
Naim Jerliu Kosovo	8	132 1.6×	63 0.9×	32 0.6×	63 1.3×	18 0.4×	30	258
Yana C. Vierboom United States	8	145 1.8×	144 2.0×	52 0.9×	16 0.3×	37 0.9×	14	296
Eva-Maria Beck Germany	6	86 1.0×	101 1.4×	39 0.7×	21 0.4×	12 0.3×	6	308
Sue Shea Greece	11	93 1.1×	47 0.6×	47 0.9×	75 1.6×	7 0.2×	21	299
Mandy Stijnen Netherlands	9	120 1.5×	79 1.1×	26 0.5×	37 0.8×	32 0.8×	17	246
Stefán Ólafsson Iceland	6	59 0.7×	31 0.4×	38 0.7×	10 0.2×	18 0.4×	27	183
Raphaël Andler France	9	58 0.7×	20 0.3×	80 1.5×	42 0.9×	20 0.5×	31	311

Countries citing papers authored by L Rutherford

Since Specialization

Citations

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

Fields of papers citing papers by L Rutherford

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of L Rutherford

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

All Works

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9 of 9 papers shown

1.

Gray, Linsay, Ian R. White, Srinivasa Vittal Katikireddi, et al.. (2019). Correcting for non-participation bias in health surveys using record-linkage, synthetic observations and pattern mixture modelling. Statistical Methods in Medical Research. 29(4). 1212–1226. 11 indexed citations

2.

Leyland, Alastair H., Gerry McCartney, Srinivasa Vittal Katikireddi, et al.. (2017). Adjustment for survey non-representativeness using record-linkage: refined estimates of alcohol consumption by deprivation in Scotland. Addiction. 112(7). 1270–1280. 18 indexed citations

3.

Gray, Linsay, et al.. (2014). Estimation of alcohol intake corrected for non-response bias using record-linked survey data in Scotland. European Journal of Public Health. 24(suppl_2). 1 indexed citations

4.

Sharp, Clare & L Rutherford. (2014). The Scottish Health Survey. 93 indexed citations

5.

Sharp, Clare, et al.. (2014). Attitudes towards alcohol in Scotland: results from the 2013 Scottish Social Attitudes Survey. 3 indexed citations

6.

Leyland, Alastair H., Gerry McCartney, Ian R. White, et al.. (2014). Assessing the Representativeness of Population-Sampled Health Surveys Through Linkage to Administrative Data on Alcohol-Related Outcomes. American Journal of Epidemiology. 180(9). 941–948. 54 indexed citations

7.

Gray, Linsay, Gerry McCartney, Ian R. White, et al.. (2013). Use of record-linkage to handle non-response and improve alcohol consumption estimates in health survey data: a study protocol. BMJ Open. 3(3). e002647–e002647. 33 indexed citations

8.

Gray, Linsay, et al.. (2012). A novel use of record linkage: resolving non-representativeness in health surveys and improving alcohol consumption estimates to inform strategy evaluation. The Lancet. 380. S42–S42. 3 indexed citations

9.

Willis, Rachelle McDonald, Rodney A. Stewart, Le Chen, & L Rutherford. (2009). Water end use consumption analysis study into Gold Coast dual reticulated households: pilot study. QUT ePrints (Queensland University of Technology). 2 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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