Carolin Oetzmann

948 total citations · 1 hit paper
13 papers, 205 citations indexed

About

Carolin Oetzmann is a scholar working on Experimental and Cognitive Psychology, Applied Psychology and General Health Professions. According to data from OpenAlex, Carolin Oetzmann has authored 13 papers receiving a total of 205 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Experimental and Cognitive Psychology, 7 papers in Applied Psychology and 4 papers in General Health Professions. Recurrent topics in Carolin Oetzmann's work include Mental Health Research Topics (10 papers), Digital Mental Health Interventions (7 papers) and COVID-19 and Mental Health (4 papers). Carolin Oetzmann is often cited by papers focused on Mental Health Research Topics (10 papers), Digital Mental Health Interventions (7 papers) and COVID-19 and Mental Health (4 papers). Carolin Oetzmann collaborates with scholars based in United Kingdom, Netherlands and Spain. Carolin Oetzmann's co-authors include Matthew Hotopf, Daniel Leightley, Katie M White, Faith Matcham, Grace Lavelle, Valeria de Angel, David C. Mohr, Richard Dobson, Ewan Carr and Claire Henderson and has published in prestigious journals such as PLoS ONE, Psychological Medicine and BMC Public Health.

In The Last Decade

Carolin Oetzmann

12 papers receiving 200 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.

Digital health tools for the passive monitoring of depression: a systematic review of methods

2022 104 citations Valeria de Angel, Katie M White et al. npj Digital Medicine profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Carolin Oetzmann United Kingdom	8	102	97	53	46	25	13	205
Ezgi Dogan-Sander Germany	7	94 0.9×	93 1.0×	71 1.3×	46 1.0×	32 1.3×	12	236
Michelle Semonella Italy	6	108 1.1×	94 1.0×	92 1.7×	46 1.0×	37 1.5×	14	232
Carmela Martínez-Vispo Spain	8	55 0.5×	127 1.3×	58 1.1×	69 1.5×	23 0.9×	45	296
Alexandra Newbold United Kingdom	7	94 0.9×	79 0.8×	104 2.0×	37 0.8×	55 2.2×	10	228
Hailey Tremain Australia	6	87 0.9×	87 0.9×	62 1.2×	27 0.6×	42 1.7×	11	214
Bogdan Tudor Tulbure Romania	10	138 1.4×	90 0.9×	117 2.2×	29 0.6×	60 2.4×	23	273
Samantha Boardman United States	5	52 0.5×	89 0.9×	70 1.3×	55 1.2×	77 3.1×	5	216
Jodie Greenberg United States	8	71 0.7×	58 0.6×	86 1.6×	19 0.4×	12 0.5×	8	218
Louisa Robinson United Kingdom	5	64 0.6×	46 0.5×	107 2.0×	22 0.5×	54 2.2×	6	199
Holly K. Boyle United States	13	67 0.7×	150 1.5×	59 1.1×	58 1.3×	29 1.2×	31	366

Countries citing papers authored by Carolin Oetzmann

Since Specialization

Citations

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

Fields of papers citing papers by Carolin Oetzmann

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Carolin Oetzmann

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

All Works

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13 of 13 papers shown

Aalbers, George, Faith Matcham, Sara Simblett, et al.. (2025). The Association Between Cognitive Functioning and Depression Severity: A Multiwave Longitudinal Remote Assessment Study. Depression and Anxiety. 2025(1). 1509978–1509978.

Oetzmann, Carolin, Nicholas Cummins, Femke Lamers, et al.. (2025). Identifying depression subtypes and investigating their consistency and transitions in a 1-year cohort analysis. PLoS ONE. 20(1). e0314604–e0314604. 1 indexed citations

White, Katie M, Sara Siddi, Femke Lamers, et al.. (2023). Understanding the Subjective Experience of Long-term Remote Measurement Technology Use for Symptom Tracking in People With Depression: Multisite Longitudinal Qualitative Analysis. JMIR Human Factors. 10. e39479–e39479. 7 indexed citations

Dineley, Judith, Pauline Conde, Faith Matcham, et al.. (2023). Classifying depression symptom severity: Assessment of speech representations in personalized and generalized machine learning models.. UCL Discovery (University College London). 1738–1742. 4 indexed citations

Matcham, Faith, Sara Simblett, Daniel Leightley, et al.. (2022). The association between persistent cognitive difficulties and depression and functional outcomes in people with major depressive disorder. Psychological Medicine. 53(13). 6334–6344. 13 indexed citations

Oetzmann, Carolin, Katie M White, Alina Ivan, et al.. (2022). Lessons learned from recruiting into a longitudinal remote measurement study in major depressive disorder. npj Digital Medicine. 5(1). 133–133. 7 indexed citations

White, Katie M, Charlotte Williamson, Carolin Oetzmann, et al.. (2022). A systematic review of engagement reporting in remote measurement studies for health symptom tracking. npj Digital Medicine. 5(1). 82–82. 17 indexed citations

Angel, Valeria de, Katie M White, Carolin Oetzmann, et al.. (2022). Digital health tools for the passive monitoring of depression: a systematic review of methods. npj Digital Medicine. 5(1). 3–3. 104 indexed citations breakdown →

Davis, Katrina A. S., Ewan Carr, Daniel Leightley, et al.. (2022). Indicators of recent COVID-19 infection status: findings from a large occupational cohort of staff and postgraduate research students from a UK university. BMC Public Health. 22(1). 1514–1514. 1 indexed citations

10.

Carr, Ewan, Carolin Oetzmann, Katrina A. S. Davis, et al.. (2022). Trajectories of mental health among UK university staff and postgraduate students during the pandemic. Occupational and Environmental Medicine. 79(8). 514–520. 12 indexed citations

11.

White, Katie M, Charlotte Williamson, Carolin Oetzmann, et al.. (2022). Exploring the definition, measurement, and reporting of engagement in remote measurement studies for physical and mental health symptom tracking: A systematic review. Research Square. 4 indexed citations

12.

Angel, Valeria de, Katie M White, Carolin Oetzmann, et al.. (2021). Digital Health Tools for the Passive Monitoring of Depression: A Systematic Review of Methods. medRxiv. 8 indexed citations

13.

Carr, Ewan, Katrina A. S. Davis, Grace Lavelle, et al.. (2021). Mental health among UK university staff and postgraduate students in the early stages of the COVID-19 pandemic. Occupational and Environmental Medicine. 79(4). 259–267. 27 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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