Heather Shaw

1.5k total citations · 2 hit papers
21 papers, 898 citations indexed

About

Heather Shaw is a scholar working on Sociology and Political Science, Applied Psychology and Communication. According to data from OpenAlex, Heather Shaw has authored 21 papers receiving a total of 898 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Sociology and Political Science, 6 papers in Applied Psychology and 4 papers in Communication. Recurrent topics in Heather Shaw's work include Impact of Technology on Adolescents (11 papers), Behavioral Health and Interventions (5 papers) and Social Media and Politics (4 papers). Heather Shaw is often cited by papers focused on Impact of Technology on Adolescents (11 papers), Behavioral Health and Interventions (5 papers) and Social Media and Politics (4 papers). Heather Shaw collaborates with scholars based in United Kingdom, Netherlands and United States. Heather Shaw's co-authors include David A. Ellis, Brittany I Davidson, Sally Andrews, Lukasz Piwek, Fenja Ziegler, Thomas Wilcockson, Kun Guo, Richard Wiseman, Steven C. Bagley and Margaret Smith and has published in prestigious journals such as PLoS ONE, Psychological Science and Computers in Human Behavior.

In The Last Decade

Heather Shaw

20 papers receiving 877 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.

Beyond Self-Report: Tools to Compare Estimated and Real-World Smartphone Use

2015 267 citations Sally Andrews, David A. Ellis et al. PLoS ONE profile →
Do smartphone usage scales predict behavior?

2019 205 citations David A. Ellis, Brittany I Davidson et al. International Journal of Human-Computer Studies profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Heather Shaw United Kingdom	12	592	250	188	140	117	21	898
Konrad Błaszkiewicz Germany	10	539 0.9×	212 0.8×	205 1.1×	148 1.1×	87 0.7×	14	942
Ionut Andone Germany	9	501 0.8×	198 0.8×	165 0.9×	115 0.8×	80 0.7×	14	833
Boris Trendafilov Germany	8	483 0.8×	196 0.8×	163 0.9×	114 0.8×	76 0.6×	8	775
Jeffrey N. Rokkum United States	7	549 0.9×	307 1.2×	92 0.5×	117 0.8×	110 0.9×	7	929
Craig Sewall United States	11	564 1.0×	239 1.0×	200 1.1×	125 0.9×	56 0.5×	20	853
Kelly M. Whaling United States	7	582 1.0×	239 1.0×	135 0.7×	69 0.5×	111 0.9×	8	937
Peng Sha China	10	624 1.1×	345 1.4×	139 0.7×	77 0.6×	66 0.6×	13	860
Anastasia Kononova United States	15	462 0.8×	79 0.3×	113 0.6×	65 0.5×	159 1.4×	40	843
Barbara Caci Italy	14	452 0.8×	204 0.8×	87 0.5×	67 0.5×	70 0.6×	52	760
Mirko Duradoni Italy	16	439 0.7×	130 0.5×	108 0.6×	96 0.7×	56 0.5×	87	872

Countries citing papers authored by Heather Shaw

Since Specialization

Citations

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

Fields of papers citing papers by Heather Shaw

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Heather Shaw

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Shaw, Heather, et al.. (2025). The DECIDE Framework: Describing Ethical Choices in Digital-Behavioral-Data Explorations. Advances in Methods and Practices in Psychological Science. 8(3).

Ellis, David A., John N. Towse, Brittany I Davidson, et al.. (2024). Assessing computational reproducibility in Behavior Research Methods. Behavior Research Methods. 56(8). 8745–8760. 2 indexed citations

Piazza, Jared, et al.. (2023). Is being anti-vegan a distinct dietarian identity? An investigation with omnivores, vegans, and self-identified “anti-vegans”. Appetite. 192. 107126–107126. 7 indexed citations

Shaw, Heather, Paul Taylor, David A. Ellis, & Stacey M. Conchie. (2022). Behavioral Consistency in the Digital Age. Psychological Science. 33(3). 364–370. 10 indexed citations

Davidson, Brittany I, Heather Shaw, & David A. Ellis. (2022). Fuzzy constructs in technology usage scales. Computers in Human Behavior. 133. 107206–107206. 29 indexed citations

Ellis, David A., et al.. (2021). Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use. Behavior Research Methods. 54(1). 1–12. 17 indexed citations

Shaw, Heather, Paul Taylor, David A. Ellis, & Stacey M. Conchie. (2021). Behavioral consistency in the digital age. PsyArXiv (OSF Preprints). 1 indexed citations

Jung, Kenneth, Sehj Kashyap, Anand Avati, et al.. (2020). A framework for making predictive models useful in practice. Journal of the American Medical Informatics Association. 28(6). 1149–1158. 44 indexed citations

Shaw, Heather, David A. Ellis, & Brittany I Davidson. (2020). Fuzzy Constructs: The Overlap between Mental Health and Technology ‘Use’. OSF Preprints (OSF Preprints). 4 indexed citations

10.

Satchell, Liam, Dean Fido, Craig A. Harper, et al.. (2020). Development of an Offline-Friend Addiction Questionnaire (O-FAQ): Are most people really social addicts?. Behavior Research Methods. 53(3). 1097–1106. 21 indexed citations

11.

Shaw, Heather, et al.. (2020). Quantifying smartphone “use”: Choice of measurement impacts relationships between “usage” and health.. Bristol Research (University of Bristol). 1(2). 114–128. 22 indexed citations

12.

Shaw, Heather, et al.. (2020). Supplemental Material for Quantifying Smartphone “Use”: Choice of Measurement Impacts Relationships Between “Usage” and Health. 1 indexed citations

13.

Ellis, David A., et al.. (2019). Do smartphone usage scales predict behavior?. International Journal of Human-Computer Studies. 130. 86–92. 205 indexed citations breakdown →

14.

Wilcockson, Thomas, David A. Ellis, & Heather Shaw. (2018). Determining Typical Smartphone Usage: What Data Do We Need?. Cyberpsychology Behavior and Social Networking. 21(6). 395–398. 97 indexed citations

15.

Shaw, Heather, David A. Ellis, & Fenja Ziegler. (2018). The Technology Integration Model (TIM). Predicting the continued use of technology. Computers in Human Behavior. 83. 204–214. 64 indexed citations

16.

Shaw, Heather, et al.. (2016). Predicting Smartphone Operating System from Personality and Individual Differences. Cyberpsychology Behavior and Social Networking. 19(12). 727–732. 52 indexed citations

17.

Andrews, Sally, David A. Ellis, Heather Shaw, & Lukasz Piwek. (2015). Beyond Self-Report: Tools to Compare Estimated and Real-World Smartphone Use. PLoS ONE. 10(10). e0139004–e0139004. 267 indexed citations breakdown →

18.

Guo, Kun & Heather Shaw. (2014). Face in profile view reduces perceived facial expression intensity: An eye-tracking study. Acta Psychologica. 155. 19–28. 36 indexed citations

19.

Guo, Kun & Heather Shaw. (2014). Perceiving facial expression from varying face orientations: an eye-tracking study. 5. 2 indexed citations

20.

Matheson, Leonard N., et al.. (2001). Development of a Database of Functional Assessment Measures Related to Work Disability. Journal of Occupational Rehabilitation. 11(3). 177–199. 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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