P. Smith

453 total citations
9 papers, 328 citations indexed

About

P. Smith is a scholar working on Oncology, Health Informatics and Rheumatology. According to data from OpenAlex, P. Smith has authored 9 papers receiving a total of 328 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Oncology, 2 papers in Health Informatics and 2 papers in Rheumatology. Recurrent topics in P. Smith's work include Bone health and treatments (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Bone health and osteoporosis research (2 papers). P. Smith is often cited by papers focused on Bone health and treatments (2 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Bone health and osteoporosis research (2 papers). P. Smith collaborates with scholars based in United Kingdom, France and Netherlands. P. Smith's co-authors include Gillian Yeowell, Francis Fatoye, Tadesse Gebrye, Emad Siddiqui, Zalmaï Hakimi, Jameel Nazir, James Selfe, Philippe Ravaud, Martin Fergie and Michael J. Callaghan and has published in prestigious journals such as BMJ Open, Value in Health and Management in Education.

In The Last Decade

P. Smith

9 papers receiving 320 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P. Smith United Kingdom	5	84	81	78	69	67	9	328
Louis Lassalle France	11	56 0.7×	11 0.1×	22 0.3×	54 0.8×	75 1.1×	23	388
Daniel Alsoof United States	12	24 0.3×	7 0.1×	39 0.5×	16 0.2×	356 5.3×	71	544
April Hartley United Kingdom	15	28 0.3×	2 0.0×	119 1.5×	67 1.0×	104 1.6×	28	426
Ronald C. Wielage United States	10	31 0.4×	48 0.6×	4 0.1×	147 2.1×	38 0.6×	17	316
Takeshi Horii Japan	10	33 0.4×	3 0.0×	67 0.9×	11 0.2×	130 1.9×	40	345
Abhinav Singh United States	11	23 0.3×	2 0.0×	8 0.1×	21 0.3×	129 1.9×	27	322
Cristina Carbonell-Abella Spain	8	69 0.8×	2 0.0×	329 4.2×	22 0.3×	217 3.2×	19	496
Jethro C.C. Kwong Canada	11	34 0.4×	73 0.9×		14 0.2×	93 1.4×	35	355
T. Fekete Switzerland	22	16 0.2×	3 0.0×	11 0.1×	34 0.5×	948 14.1×	93	1.3k
Chris Chilton United Kingdom	13	50 0.6×	299 3.7×	4 0.1×	212 3.1×	235 3.5×	27	587

Countries citing papers authored by P. Smith

Since Specialization

Citations

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

Fields of papers citing papers by P. Smith

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P. Smith

This figure shows the co-authorship network connecting the top 25 collaborators of P. Smith. A scholar is included among the top collaborators of P. Smith 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 P. Smith. P. Smith 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:

9 of 9 papers shown

1.

Atal, Ignacio, P. Smith, Philippe Ravaud, et al.. (2020). Reporting quality of studies using machine learning models for medical diagnosis: a systematic review. BMJ Open. 10(3). e034568–e034568. 69 indexed citations

2.

Fatoye, Francis, P. Smith, Tadesse Gebrye, & Gillian Yeowell. (2019). Real-world persistence and adherence with oral bisphosphonates for osteoporosis: a systematic review. BMJ Open. 9(4). e027049–e027049. 110 indexed citations

3.

Atal, Ignacio, et al.. (2019). 18 Methodology and reporting quality of studies using machine learning models for medical diagnosis: a methodological systematic review. Poster presentations. A50.3–A51. 1 indexed citations

4.

Fatoye, Francis, P. Smith, Tadesse Gebrye, & Gillian Yeowell. (2018). PMS88 - REAL WORLD PERSISTENCE AND ADHERENCE WITH ORAL BISPHOSPHONATES FOR OSTEOPOROSIS - A SYSTEMATIC REVIEW. Value in Health. 21. S302–S303. 1 indexed citations

5.

Yeowell, Gillian, P. Smith, Jameel Nazir, et al.. (2018). Real-world persistence and adherence to oral antimuscarinics and mirabegron in patients with overactive bladder (OAB): a systematic literature review. BMJ Open. 8(11). e021889–e021889. 88 indexed citations

6.

Stockley, Rachel, et al.. (2017). A Mixed Methods Small Pilot Study to Describe the Effects of Upper Limb Training Using a Virtual Reality Gaming System in People with Chronic Stroke. Rehabilitation Research and Practice. 2017. 1–8. 18 indexed citations

7.

Brooker, Dawn, Doris Y. P. Leung, Jennifer Bray, et al.. (2013). The Dementia Care Bundle: Improving the Quality and Safety of Hospital Care for Patients with Acute Physical Illness who have Co-existing Dementia. Worcester Research and Publications (University of Worcester). 2 indexed citations

8.

Smith, P., et al.. (1997). High-quality nutritional interventions reduce costs.. PubMed. 51(8). 66–9. 38 indexed citations

9.

Smith, P.. (1996). Tools for Measuring Quality Improvement. Management in Education. 10(2). 21–23. 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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