Chris Hinds

715 total citations
26 papers, 371 citations indexed

About

Chris Hinds is a scholar working on Psychiatry and Mental health, Public Health, Environmental and Occupational Health and Experimental and Cognitive Psychology. According to data from OpenAlex, Chris Hinds has authored 26 papers receiving a total of 371 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Psychiatry and Mental health, 6 papers in Public Health, Environmental and Occupational Health and 4 papers in Experimental and Cognitive Psychology. Recurrent topics in Chris Hinds's work include Dementia and Cognitive Impairment Research (7 papers), Bipolar Disorder and Treatment (5 papers) and Mental Health Research Topics (3 papers). Chris Hinds is often cited by papers focused on Dementia and Cognitive Impairment Research (7 papers), Bipolar Disorder and Treatment (5 papers) and Mental Health Research Topics (3 papers). Chris Hinds collaborates with scholars based in United Kingdom, United States and Switzerland. Chris Hinds's co-authors include Marina Jirotka, Rob Procter, Catelijne Coopmans, Alex Voß, Mark Hartswood, Andrew Simpson, Claire Lancaster, Roger Slack, Ivan Koychev and John Geddes and has published in prestigious journals such as Neuropsychopharmacology, Journal of Affective Disorders and Journal of Medical Internet Research.

In The Last Decade

Chris Hinds

25 papers receiving 353 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chris Hinds United Kingdom 10 126 58 53 52 42 26 371
Erin D. Foster United States 7 40 0.3× 86 1.5× 70 1.3× 55 1.1× 13 0.3× 13 577
Lisa M. Vizer United States 11 129 1.0× 18 0.3× 60 1.1× 156 3.0× 60 1.4× 20 520
Neal M. Kingston United States 14 31 0.2× 112 1.9× 62 1.2× 70 1.3× 22 0.5× 61 1.1k
Ana Isabel Martins Portugal 12 38 0.3× 40 0.7× 54 1.0× 15 0.3× 25 0.6× 48 460
Ashwin Mehta United States 12 21 0.2× 67 1.2× 22 0.4× 41 0.8× 25 0.6× 22 708
Sharon Cadman Slater United States 11 66 0.5× 49 0.8× 16 0.3× 31 0.6× 9 0.2× 18 490
Karen Draney United States 7 29 0.2× 23 0.4× 19 0.4× 57 1.1× 23 0.5× 22 513
Philip Powell United Kingdom 9 177 1.4× 28 0.5× 20 0.4× 15 0.3× 24 0.6× 20 509
Aleksandar Matic Spain 12 46 0.4× 80 1.4× 27 0.5× 94 1.8× 124 3.0× 19 416
Christian Mauro Germany 10 67 0.5× 8 0.1× 44 0.8× 71 1.4× 35 0.8× 35 488

Countries citing papers authored by Chris Hinds

Since Specialization
Citations

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

Fields of papers citing papers by Chris Hinds

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Chris Hinds

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

All Works

20 of 20 papers shown
1.
Hughes, Niall, et al.. (2024). A prospective study of antenatal anxiety and depression in pregnant women with polycystic ovary syndrome. Irish Journal of Psychological Medicine. 1–5. 2 indexed citations
2.
McGagh, Dylan, Niall M. McGowan, Chris Hinds, Kate Saunders, & Laura C. Coates. (2023). Actigraphy-derived physical activity levels and circadian rhythm parameters in patients with psoriatic arthritis: relationship with disease activity, mood, age and BMI. Therapeutic Advances in Musculoskeletal Disease. 15. 1759720X231174989–1759720X231174989. 4 indexed citations
4.
Stavropoulos, Thanos G., Ioulietta Lazarou, Ana Diaz, et al.. (2021). Wearable Devices for Assessing Function in Alzheimer's Disease: A European Public Involvement Activity About the Features and Preferences of Patients and Caregivers. Frontiers in Aging Neuroscience. 13. 643135–643135. 32 indexed citations
5.
Boer, Casper de, Jelena Curcic, Vera J. M. Nies, et al.. (2021). Gait characteristics in preclinical Alzheimer’s disease: Preliminary results of the RADAR‐AD study. Alzheimer s & Dementia. 17(S5). 2 indexed citations
6.
Owens, Andrew P., Chris Hinds, Nikolay V. Manyakov, et al.. (2020). Selecting Remote Measurement Technologies to Optimize Assessment of Function in Early Alzheimer's Disease: A Case Study. Frontiers in Psychiatry. 11. 582207–582207. 19 indexed citations
7.
8.
Goodday, Sarah, Lauren Atkinson, Guy M. Goodwin, et al.. (2019). The True Colours Remote Symptom Monitoring System: A Decade of Evolution. Journal of Medical Internet Research. 22(1). e15188–e15188. 26 indexed citations
9.
Lancaster, Claire & Chris Hinds. (2019). TD‐P‐15: GAMECHANGER: CAN DIGITAL BIOMARKERS TRANSFORM THE DETECTION OF PRECLINICAL ALZHEIMER'S DISEASE?. Alzheimer s & Dementia. 15(7S_Part_3). 1 indexed citations
10.
Duffy, Anne, Charles Keown‐Stoneman, Sarah Goodday, et al.. (2018). Daily and weekly mood ratings using a remote capture method in high‐risk offspring of bipolar parents: Compliance and symptom monitoring. Bipolar Disorders. 21(2). 159–167. 14 indexed citations
11.
Lancaster, Claire, et al.. (2018). Digital technologies for the assessment of cognition: a clinical review. Evidence-Based Mental Health. 21(2). 67–71. 26 indexed citations
12.
Gordon‐Smith, Katherine, Kate Saunders, John Geddes, et al.. (2018). Large-scale roll out of electronic longitudinal mood-monitoring for research in affective disorders: Report from the UK bipolar disorder research network. Journal of Affective Disorders. 246. 789–793. 9 indexed citations
13.
Bilderbeck, Amy C., Lauren Atkinson, Merryn Voysey, et al.. (2016). Psychoeducation and online mood tracking for patients with bipolar disorder: A randomised controlled trial. Journal of Affective Disorders. 205. 245–251. 24 indexed citations
14.
Geddes, John, et al.. (2014). Comparative Evaluation of Quetiapine Plus Lamotrigine Versus Quetiapine Monotherapy in Bipolar Depression: A Randomized Placebo Controlled Trial (CEQUEL). Neuropsychopharmacology. 39. 1 indexed citations
15.
Fragkou, Paraskevi C., et al.. (2014). Major gastrointestinal surgery is associated with a specific gene expression profile that is quantitatively associated with infectious complications. European Journal of Anaesthesiology. 31. 14–14. 1 indexed citations
16.
D’Agostino, Giuseppina, et al.. (2008). On the importance of intellectual property rights for e-science and the integrated health record. Health Informatics Journal. 14(2). 95–111. 3 indexed citations
17.
Hinds, Chris. (2008). The case against a positivist philosophy of requirements engineering. Requirements Engineering. 13(4). 315–328. 8 indexed citations
18.
Jirotka, Marina, Rob Procter, Mark Hartswood, et al.. (2005). Collaboration and Trust in Healthcare Innovation: The eDiaMoND Case Study. Computer Supported Cooperative Work (CSCW). 14(4). 369–398. 115 indexed citations
19.
D’Agostino, Giuseppina, et al.. (2005). Ownership of Intellectual Property Rights in Medical Data in Collaborative Computing Environments. 9 indexed citations
20.
Jirotka, Marina, et al.. (2004). Towards Understanding Requirements for eScience: the eDiaMoND Case Study. Research Explorer (The University of Manchester). 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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