Philip Clatworthy

972 total citations
26 papers, 574 citations indexed

About

Philip Clatworthy is a scholar working on Epidemiology, Cognitive Neuroscience and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Philip Clatworthy has authored 26 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Epidemiology, 9 papers in Cognitive Neuroscience and 6 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Philip Clatworthy's work include Acute Ischemic Stroke Management (12 papers), Visual perception and processing mechanisms (6 papers) and Neural dynamics and brain function (4 papers). Philip Clatworthy is often cited by papers focused on Acute Ischemic Stroke Management (12 papers), Visual perception and processing mechanisms (6 papers) and Neural dynamics and brain function (4 papers). Philip Clatworthy collaborates with scholars based in United Kingdom, France and United States. Philip Clatworthy's co-authors include Jerry M. Brown, Kate Dawson, Jean‐Claude Baron, D.J. Tolhurst, Mazviita Chirimuuta, Laurent Brichard, Timothy D. Fryer, Young T. Hong, Luke Clark and Trevor W. Robbins and has published in prestigious journals such as Journal of Neuroscience, SHILAP Revista de lepidopterología and NeuroImage.

In The Last Decade

Philip Clatworthy

25 papers receiving 562 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Philip Clatworthy United Kingdom 10 259 177 110 79 52 26 574
Min Jae Baek South Korea 14 212 0.8× 259 1.5× 59 0.5× 80 1.0× 47 0.9× 31 675
Jonna Nilsson Sweden 14 266 1.0× 178 1.0× 44 0.4× 51 0.6× 46 0.9× 33 656
Thomas S. Harris United States 18 233 0.9× 176 1.0× 131 1.2× 63 0.8× 99 1.9× 38 657
Pietro Davide Trimarchi Italy 10 388 1.5× 147 0.8× 36 0.3× 159 2.0× 15 0.3× 40 724
Maira Okada de Oliveira Brazil 13 192 0.7× 274 1.5× 28 0.3× 58 0.7× 43 0.8× 41 601
Sarah Hirsiger Switzerland 13 397 1.5× 108 0.6× 77 0.7× 36 0.5× 212 4.1× 17 661
Nicole D. Evangelista United States 18 341 1.3× 190 1.1× 49 0.4× 148 1.9× 161 3.1× 38 806
Hanna Lu Hong Kong 12 301 1.2× 165 0.9× 32 0.3× 26 0.3× 96 1.8× 49 548
Ronald L. Schwartz United States 17 641 2.5× 160 0.9× 66 0.6× 73 0.9× 10 0.2× 32 900
Jessica Powell United States 9 144 0.6× 216 1.2× 34 0.3× 37 0.5× 23 0.4× 17 512

Countries citing papers authored by Philip Clatworthy

Since Specialization
Citations

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

Fields of papers citing papers by Philip Clatworthy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Philip Clatworthy

This figure shows the co-authorship network connecting the top 25 collaborators of Philip Clatworthy. A scholar is included among the top collaborators of Philip Clatworthy 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 Philip Clatworthy. Philip Clatworthy 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.
Clatworthy, Philip, et al.. (2025). Data Hazards: An open-source vocabulary of ethical hazards for data-intensive projects. Explore Bristol Research. 21. 100110–100110.
2.
Clatworthy, Philip, et al.. (2025). Automatic prediction of stroke treatment outcomes: latest advances and perspectives. Biomedical Engineering Letters. 15(3). 467–488. 1 indexed citations
3.
Clatworthy, Philip, et al.. (2024). Automated Radiology Report Generation: A Review of Recent Advances. IEEE Reviews in Biomedical Engineering. 18. 368–387. 14 indexed citations
4.
Wood, Richard M., et al.. (2022). Optimising acute stroke pathways through flexible use of bed capacity: a computer modelling study. BMC Health Services Research. 22(1). 1068–1068. 4 indexed citations
5.
Clatworthy, Philip, et al.. (2022). FeMA: Feature matching auto-encoder for predicting ischaemic stroke evolution and treatment outcome. Computerized Medical Imaging and Graphics. 99. 102089–102089. 13 indexed citations
6.
Boca, M, et al.. (2021). Leukoencephalopathy With Calcifications and Cysts Associated With SNORD118 Variants. Neurology. 97(14). 694–695. 1 indexed citations
7.
Stothart, George, et al.. (2020). Fast Periodic Visual Stimulation indexes preserved semantic memory in healthy ageing. Scientific Reports. 10(1). 13159–13159. 6 indexed citations
8.
Damion, Robin A., Michael J. Knight, George Harston, et al.. (2020). A Comparison of T2 Relaxation-Based MRI Stroke Timing Methods in Hyperacute Ischemic Stroke Patients: A Pilot Study. SHILAP Revista de lepidopterología. 12. 370276987–370276987. 5 indexed citations
9.
Damion, Robin A., Michael J. Knight, Rose Bosnell, et al.. (2019). Quantifying T 2 relaxation time changes within lesions defined by apparent diffusion coefficient in grey and white matter in acute stroke patients. Physics in Medicine and Biology. 64(9). 95016–95016. 3 indexed citations
11.
Teo, Mario, et al.. (2019). Sneddon Syndrome: A Case Report Exploring the Current Challenges Faced with Diagnosis and Management. SHILAP Revista de lepidopterología. 11(3). 357–368. 2 indexed citations
12.
Ajina, Sara, et al.. (2018). Visual training in hemianopia alters neural activity in the absence of behavioural improvement: a pilot study. Ophthalmic and Physiological Optics. 38(5). 538–549. 13 indexed citations
13.
Burridge, Jane, Ruth Turk, María Stokes, et al.. (2017). Telehealth, Wearable Sensors, and the Internet: Will They Improve Stroke Outcomes Through Increased Intensity of Therapy, Motivation, and Adherence to Rehabilitation Programs?. Journal of Neurologic Physical Therapy. 41. S32–S38. 51 indexed citations
14.
Clatworthy, Philip, Elizabeth A. Warburton, D.J. Tolhurst, & Jean‐Claude Baron. (2013). Visual Contrast Sensitivity Deficits in ‘Normal' Visual Field of Patients with Homonymous Visual Field Defects due to Stroke: A Pilot Study. Cerebrovascular Diseases. 36(5-6). 329–335. 8 indexed citations
15.
Clatworthy, Philip, Simon J.G. Lewis, Laurent Brichard, et al.. (2009). Dopamine Release in Dissociable Striatal Subregions Predicts the Different Effects of Oral Methylphenidate on Reversal Learning and Spatial Working Memory. Journal of Neuroscience. 29(15). 4690–4696. 183 indexed citations
16.
Brown, Jerry M., et al.. (2009). Self administered cognitive screening test (TYM) for detection of Alzheimer's disease: cross sectional study. BMJ. 338(jun08 3). b2030–b2030. 142 indexed citations
17.
Warburton, Elizabeth A., et al.. (2008). Stroke management.. PubMed. 2008. 1 indexed citations
18.
Chirimuuta, Mazviita, Philip Clatworthy, & D.J. Tolhurst. (2003). Coding of the contrasts in natural images by visual cortex (VI) neurons: A Bayesian approach. Journal of the Optical Society of America A. 20(7). 1253–1260. 1 indexed citations
19.
Clatworthy, Philip, et al.. (2003). Coding of the contrasts in natural images by populations of neurons in primary visual cortex (V1). Vision Research. 43(18). 1983–2001. 43 indexed citations
20.
Chirimuuta, Mazviita, Philip Clatworthy, & D.J. Tolhurst. (2003). Coding of the contrasts in natural images by visual cortex (V1) neurons: a Bayesian approach. Journal of the Optical Society of America A. 20(7). 1253–1253. 22 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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