Carol Rivas

2.5k total citations · 1 hit paper
88 papers, 1.5k citations indexed

About

Carol Rivas is a scholar working on General Health Professions, Clinical Psychology and Sociology and Political Science. According to data from OpenAlex, Carol Rivas has authored 88 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in General Health Professions, 25 papers in Clinical Psychology and 19 papers in Sociology and Political Science. Recurrent topics in Carol Rivas's work include Intimate Partner and Family Violence (15 papers), Child Abuse and Trauma (12 papers) and Diabetes Management and Education (8 papers). Carol Rivas is often cited by papers focused on Intimate Partner and Family Violence (15 papers), Child Abuse and Trauma (12 papers) and Diabetes Management and Education (8 papers). Carol Rivas collaborates with scholars based in United Kingdom, United States and Australia. Carol Rivas's co-authors include Liz Steed, Gene Feder, Stephanie Taylor, Robert Walton, Elizabeth A. Edwards, Ratna Sohanpal, Sandra Eldridge, Louise M. Goff, Chris Griffiths and Kelsey Hegarty and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Cochrane Database of Systematic Reviews.

In The Last Decade

Carol Rivas

77 papers receiving 1.4k 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.

Gamification for health promotion: systematic review of behaviour change techniques in smartphone apps

2016 303 citations Elizabeth A. Edwards, Jim Lumsden et al. BMJ Open profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carol Rivas United Kingdom	20	613	356	326	298	198	88	1.5k
Tuyen Van Duong Taiwan	19	943 1.5×	339 1.0×	703 2.2×	252 0.8×	171 0.9×	69	1.9k
Óscar Ribeiro Portugal	27	673 1.1×	576 1.6×	467 1.4×	377 1.3×	207 1.0×	189	2.3k
Tine Tjørnhøj‐Thomsen Denmark	23	546 0.9×	154 0.4×	231 0.7×	366 1.2×	318 1.6×	135	1.8k
Anja Leppin Denmark	18	495 0.8×	311 0.9×	359 1.1×	323 1.1×	237 1.2×	49	1.6k
Petra Kolip Germany	18	615 1.0×	196 0.6×	343 1.1×	169 0.6×	529 2.7×	118	1.5k
Behice Erci Türkiye	18	358 0.6×	260 0.7×	261 0.8×	150 0.5×	241 1.2×	106	1.2k
Ruey‐Hsia Wang Taiwan	24	651 1.1×	220 0.6×	331 1.0×	129 0.4×	311 1.6×	118	2.0k
Andrea Cassells United States	27	697 1.1×	280 0.8×	529 1.6×	714 2.4×	308 1.6×	64	2.3k
Antje Lindenmeyer United Kingdom	21	700 1.1×	117 0.3×	249 0.8×	226 0.8×	255 1.3×	60	2.0k
Laura Twyman Australia	13	693 1.1×	266 0.7×	212 0.7×	206 0.7×	414 2.1×	24	1.6k

Countries citing papers authored by Carol Rivas

Since Specialization

Citations

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

Fields of papers citing papers by Carol Rivas

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carol Rivas

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

Rivas, Carol, et al.. (2025). Beneath skin-deep? Why colour-blind policies perpetuate racial stratification for justice-involved women. Ethnic and Racial Studies. 1–19.

Snell, Kym I E, Andrew W. Horne, Julie Dodds, et al.. (2025). Predicting pain reduction following laparoscopic surgery for endometriosis: a retrospective cohort study using UK national and research databases. BMJ Open. 15(8). e099374–e099374.

Rivas, Carol, et al.. (2025). The model isn’t made for us: Ghanaian and Nigerian youths’ experiences in London’s mental health system: a qualitative study. Ethnicity and Health. 30(5). 638–658. 1 indexed citations

Cooper, N, et al.. (2023). Qualitative study exploring which research outcomes best reflect women’s experiences of heavy menstrual bleeding: stakeholder involvement in development of a core outcome set. BMJ Open. 13(7). e063637–e063637. 4 indexed citations

Rivas, Carol, et al.. (2022). Nigerian and Ghanaian Young People’s Experiences of Care for Common Mental Disorders in Inner London: Protocol for a Multimethod Investigation. JMIR Research Protocols. 11(12). e42575–e42575.

Rivas, Carol, Louise M. Goff, Ruth Dobson, et al.. (2022). Lessons From the COVID-19 Pandemic to Improve the Health, Social Care, and Well-being of Minoritized Ethnic Groups With Chronic Conditions or Impairments: Protocol for a Mixed Methods Study. JMIR Research Protocols. 11(7). e38361–e38361. 3 indexed citations

Bird, Karen, et al.. (2022). PROTOCOL: Informal social support interventions for improving outcomes for victim‐survivors of domestic violence and abuse: An evidence and gap map. Campbell Systematic Reviews. 18(3). e1263–e1263. 8 indexed citations

Ball, Elizabeth, et al.. (2021). If virtual gynecology clinics are here to stay, we need to include everyone. AJOG Global Reports. 2(1). 100043–100043. 4 indexed citations

Marlin, Nadine, Carol Rivas, John Allotey, et al.. (2021). Development and Validation of Clinical Prediction Models for Surgical Success in Patients With Endometriosis: Protocol for a Mixed Methods Study. JMIR Research Protocols. 10(4). e20986–e20986. 4 indexed citations

10.

Ball, Elizabeth, Frank Röhricht, Liz Steed, et al.. (2020). mHealth: providing a mindfulness app for women with chronic pelvic pain in gynaecology outpatient clinics: qualitative data analysis of user experience and lessons learnt. BMJ Open. 10(3). e030711–e030711. 18 indexed citations

11.

Cavers, Debbie, Annemieke Bikker, Karen Barnett, et al.. (2019). BPOS Oral Presentations. Psycho-Oncology. 28(S2). 3–8. 2 indexed citations

12.

Wagland, Richard, Lauren Matheson, Carol Rivas, et al.. (2019). Adjustment strategies amongst black African and black Caribbean men following treatment for prostate cancer: Findings from the Life After Prostate Cancer Diagnosis (LAPCD) study. European Journal of Cancer Care. 29(1). e13183–e13183. 11 indexed citations

13.

Rivas, Carol, et al.. (2019). Automated analysis of free-text comments and dashboard representations in patient experience surveys: a multimethod co-design study. SHILAP Revista de lepidopterología. 7(23). 1–160. 9 indexed citations

14.

Edwards, Elizabeth A., Hope Caton, Jim Lumsden, et al.. (2018). Creating a Theoretically Grounded, Gamified Health App: Lessons From Developing the Cigbreak Smoking Cessation Mobile Phone Game. JMIR Serious Games. 6(4). e10252–e10252. 25 indexed citations

15.

Ball, Elizabeth, Brennan C Kahan, Gordon Forbes, et al.. (2018). Smartphone App Using Mindfulness Meditation for Women With Chronic Pelvic Pain (MEMPHIS): Protocol for a Randomized Feasibility Trial. JMIR Research Protocols. 7(1). e8–e8. 6 indexed citations

16.

Rivas, Carol, Ratna Sohanpal, Liz Steed, et al.. (2017). Determining counselling communication strategies associated with successful quits in the National Health Service community pharmacy Stop Smoking programme in East London: a focused ethnography using recorded consultations. BMJ Open. 7(10). e015664–e015664. 4 indexed citations

17.

Sohanpal, Ratna, Carol Rivas, Liz Steed, et al.. (2016). Understanding recruitment and retention in the NHS community pharmacy stop smoking service: perceptions of smoking cessation advisers. BMJ Open. 6(7). e010921–e010921. 22 indexed citations

18.

Rivas, Carol, Jean Ramsay, Laura S. Sadowski, et al.. (2016). Advocacy Interventions to Reduce or Eliminate Violence and Promote the Physical and Psychosocial Well‐Being of Women who Experience Intimate Partner Abuse: A Systematic Review. Campbell Systematic Reviews. 12(1). 1–202. 33 indexed citations

19.

Ramsay, Jean, Yvonne Carter, Leslie L. Davidson, et al.. (2009). Advocacy interventions to reduce or eliminate violence and promote the physical and psychosocial well‐being of women who experience intimate partner abuse. Campbell Systematic Reviews. 5(1). 1–121. 25 indexed citations

20.

Ramsay, Jean, Yvonne Carter, Leslie L. Davidson, et al.. (2009). PROTOCOL: Advocacy interventions to reduce or eliminate violence and promote the physical and psychosocial well‐being of women who experience intimate partner abuse. Campbell Systematic Reviews. 5(1). 1–31. 1 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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