Emma Uprichard

1.5k total citations · 1 hit paper
24 papers, 850 citations indexed

About

Emma Uprichard is a scholar working on Sociology and Political Science, Information Systems and Management and Food Science. According to data from OpenAlex, Emma Uprichard has authored 24 papers receiving a total of 850 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Sociology and Political Science, 3 papers in Information Systems and Management and 3 papers in Food Science. Recurrent topics in Emma Uprichard's work include Data Analysis and Archiving (5 papers), Social and Cultural Dynamics (4 papers) and Contemporary Sociological Theory and Practice (4 papers). Emma Uprichard is often cited by papers focused on Data Analysis and Archiving (5 papers), Social and Cultural Dynamics (4 papers) and Contemporary Sociological Theory and Practice (4 papers). Emma Uprichard collaborates with scholars based in United Kingdom, Mexico and United States. Emma Uprichard's co-authors include Leila Dawney, David Byrne, Roger Burrows, Simon Parker, Sarah Nettleton, Liz Moor, Mark Carrigan, Malcolm Williams, Rosalind Edwards and Clare Jackson and has published in prestigious journals such as SHILAP Revista de lepidopterología, Appetite and Environment and Planning A Economy and Space.

In The Last Decade

Emma Uprichard

21 papers receiving 765 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Children as ‘Being and Becomings’: Children, Childhood and Temporality

2008 389 citations Emma Uprichard Children & Society profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Emma Uprichard United Kingdom	12	540	242	99	88	60	24	850
Tehmina N. Basit United Kingdom	14	501 0.9×	502 2.1×	55 0.6×	84 1.0×	61 1.0×	24	1.1k
Chris Jenks United States	18	431 0.8×	143 0.6×	55 0.6×	71 0.8×	84 1.4×	86	1.0k
Anthony McCosker Australia	17	421 0.8×	68 0.3×	46 0.5×	131 1.5×	108 1.8×	89	926
Chris Taylor United Kingdom	21	696 1.3×	1.2k 4.9×	86 0.9×	125 1.4×	79 1.3×	136	1.9k
Martin Forsey Australia	15	376 0.7×	579 2.4×	32 0.3×	48 0.5×	50 0.8×	41	1.1k
James E. Bartlett United States	13	324 0.6×	135 0.6×	31 0.3×	79 0.9×	59 1.0×	44	831
B. Boog Netherlands	8	261 0.5×	119 0.5×	27 0.3×	101 1.1×	40 0.7×	17	556
Jeffrey A. Houser United States	4	474 0.9×	81 0.3×	62 0.6×	58 0.7×	34 0.6×	4	883
Kristen Purcell United States	11	465 0.9×	288 1.2×	18 0.2×	70 0.8×	49 0.8×	14	1.1k
Jessica L. Collett United States	15	720 1.3×	74 0.3×	133 1.3×	79 0.9×	100 1.7×	28	1.2k

Countries citing papers authored by Emma Uprichard

Since Specialization

Citations

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

Fields of papers citing papers by Emma Uprichard

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Emma Uprichard

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

1.

Uprichard, Emma, et al.. (2025). Bringing Interdisciplinary Data Science Education Challenges into the Classroom. SHILAP Revista de lepidopterología. 34(1). 72–87.

2.

Uprichard, Emma, et al.. (2017). Changing girlhoods – Changing Girl Guiding. The Sociological Review. 66(1). 257–272. 1 indexed citations

3.

Uprichard, Emma, Rosalind Edwards, & Malcolm Williams. (2017). IJSRM’s 100th issue. International Journal of Social Research Methodology. 21(1). 1–6. 2 indexed citations

4.

Uprichard, Emma & Leila Dawney. (2016). Data Diffraction: Challenging Data Integration in Mixed Methods Research. Journal of Mixed Methods Research. 13(1). 19–32. 94 indexed citations

5.

Uprichard, Emma & Mark Carrigan. (2015). Emma Uprichard: Most big data is social data – the analytics need serious interrogation. London School of Economics and Political Science Research Online (London School of Economics and Political Science). 1 indexed citations

6.

Uprichard, Emma. (2015). Most big data is social data : the analytics need serious interrogation. Warwick Research Archive Portal (University of Warwick). 2 indexed citations

7.

Moor, Liz & Emma Uprichard. (2014). The Materiality of Method: The Case of the Mass Observation Archive. Sociological Research Online. 19(3). 136–146. 9 indexed citations

8.

Uprichard, Emma, et al.. (2013). ‘Food hates’ over the life course: an analysis of food narratives from the UK Mass Observation Archive. Appetite. 71. 137–143. 11 indexed citations

9.

Uprichard, Emma. (2013). Focus : big data, little questions?. Warwick Research Archive Portal (University of Warwick). 12 indexed citations

10.

Byrne, David & Emma Uprichard. (2012). Useful Complex Causality. Oxford University Press eBooks. 17 indexed citations

11.

Uprichard, Emma, et al.. (2012). Cluster Analysis. 8 indexed citations

12.

Uprichard, Emma. (2011). Sampling: bridging probability and non-probability designs. International Journal of Social Research Methodology. 16(1). 1–11. 65 indexed citations

13.

Uprichard, Emma. (2011). Dirty Data: Longitudinal Classification Systems. The Sociological Review. 59(2_suppl). 93–112. 9 indexed citations

14.

Nettleton, Sarah & Emma Uprichard. (2011). ‘A Slice of Life’: Food Narratives and Menus from Mass-Observers in 1982 and 1945. Sociological Research Online. 16(2). 99–107. 19 indexed citations

15.

Uprichard, Emma, Roger Burrows, & Simon Parker. (2009). Geodemographic Code and the Production of Space. Environment and Planning A Economy and Space. 41(12). 2823–2835. 21 indexed citations

16.

Uprichard, Emma. (2009). Questioning Research with Children: Discrepancy between Theory and Practice?. Children & Society. 24(1). 3–13. 45 indexed citations

17.

Uprichard, Emma, Roger Burrows, & David Byrne. (2008). SPSS as an ‘Inscription Device’: From Causality to Description?. The Sociological Review. 56(4). 606–622. 34 indexed citations

18.

Parker, Simon, Emma Uprichard, & Roger Burrows. (2007). CLASS PLACES AND PLACE CLASSES Geodemographics and the spatialization of class. Information Communication & Society. 10(6). 902–921. 37 indexed citations

19.

Uprichard, Emma & David Byrne. (2006). Representing Complex Places: A Narrative Approach. Environment and Planning A Economy and Space. 38(4). 665–676. 36 indexed citations

20.

Uprichard, Emma. (2006). Method, Methodology and Pedagogy in Social Research. Sociology. 40(6). 1201–1207.

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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