John Darby

2.3k total citations
55 papers, 1.6k citations indexed

About

John Darby is a scholar working on Computer Vision and Pattern Recognition, Physiology and Psychiatry and Mental health. According to data from OpenAlex, John Darby has authored 55 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Computer Vision and Pattern Recognition, 11 papers in Physiology and 9 papers in Psychiatry and Mental health. Recurrent topics in John Darby's work include Human Pose and Action Recognition (10 papers), Lysosomal Storage Disorders Research (8 papers) and Video Surveillance and Tracking Methods (5 papers). John Darby is often cited by papers focused on Human Pose and Action Recognition (10 papers), Lysosomal Storage Disorders Research (8 papers) and Video Surveillance and Tracking Methods (5 papers). John Darby collaborates with scholars based in United Kingdom, United States and Belgium. John Darby's co-authors include Patrick J. Willems, Nicholas Costen, Lieve Vits, Edwin Reyniers, Harry Hollien, Ian D. Loram, Philip A. Berger, Ben A. Oostra, David J. Pasta and Kristel De Boulle and has published in prestigious journals such as New England Journal of Medicine, Nucleic Acids Research and Nature Genetics.

In The Last Decade

John Darby

54 papers receiving 1.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
John Darby United Kingdom 22 471 433 340 306 180 55 1.6k
Atsushi Sato Japan 19 294 0.6× 241 0.6× 850 2.5× 132 0.4× 302 1.7× 64 1.7k
Matthew Brown United States 27 315 0.7× 145 0.3× 1.1k 3.1× 144 0.5× 148 0.8× 54 2.2k
Peter J. Hamilton United States 24 743 1.6× 320 0.7× 332 1.0× 246 0.8× 82 0.5× 56 1.8k
Shahram Bahrami Norway 21 393 0.8× 567 1.3× 157 0.5× 130 0.4× 105 0.6× 54 1.4k
Peter Humphreys Canada 24 353 0.7× 398 0.9× 416 1.2× 175 0.6× 23 0.1× 49 1.7k
Elizabeth E. Palmer Australia 32 643 1.4× 310 0.7× 938 2.8× 220 0.7× 66 0.4× 100 3.1k
Marina Myles‐Worsley United States 25 686 1.5× 605 1.4× 782 2.3× 113 0.4× 200 1.1× 57 2.2k
Arnaud Cressant France 17 369 0.8× 126 0.3× 460 1.4× 221 0.7× 50 0.3× 25 1.7k
Leon French Canada 20 543 1.2× 103 0.2× 429 1.3× 139 0.5× 64 0.4× 46 1.7k
Greg Allen United States 22 483 1.0× 817 1.9× 2.4k 7.1× 208 0.7× 158 0.9× 50 3.9k

Countries citing papers authored by John Darby

Since Specialization
Citations

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

Fields of papers citing papers by John Darby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of John Darby

This figure shows the co-authorship network connecting the top 25 collaborators of John Darby. A scholar is included among the top collaborators of John Darby 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 John Darby. John Darby 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.
Leightley, Daniel, Victoria Williamson, John Darby, & Nicola T. Fear. (2018). Identifying probable post-traumatic stress disorder: applying supervised machine learning to data from a UK military cohort. Journal of Mental Health. 28(1). 34–41. 45 indexed citations
2.
Loram, Ian D., et al.. (2017). The potential of an automated system to identify the upper limb component of a controlled sitting posture. Gait & Posture. 58. 223–228. 1 indexed citations
3.
Felice, Rachele De, et al.. (2013). A classification scheme for annotating speech acts in a business email corpus. Open Research Online (The Open University). 11 indexed citations
4.
Darby, John, Baihua Li, Ryan Cunningham, & Nicholas Costen. (2012). Object Localisation via Action Recognition. Loughborough University Institutional Repository (Loughborough University). 1 indexed citations
5.
Darby, John, et al.. (1997). Risperidone Dose and Blood Level Variability. Journal of Clinical Psychopharmacology. 17(6). 478–484. 34 indexed citations
6.
Darby, John, et al.. (1995). Haloperidol Dose and Blood Level Variability. Journal of Clinical Psychopharmacology. 15(5). 334–340. 22 indexed citations
7.
Vits, Lieve, et al.. (1994). Apparent regression of the CGG repeat in FMR1 to an allele of normal size. Human Genetics. 94(5). 523–526. 27 indexed citations
8.
Camp, Guy Van, Lieve Vits, Paul Coucke, et al.. (1993). A duplication in the L1CAM gene associated with X–linked hydrocephalus. Nature Genetics. 4(4). 421–425. 76 indexed citations
9.
Reyniers, Edwin, Lieve Vits, Kristel De Boulle, et al.. (1993). The full mutation in the FMR–1 gene of male fragile X patients is absent in their sperm. Nature Genetics. 4(2). 143–146. 225 indexed citations
10.
Willems, Patrick J., Rosanna Gatti, John Darby, et al.. (1991). Fucosidosis revisited: A review of 77 patients. American Journal of Medical Genetics. 38(1). 111–131. 115 indexed citations
11.
Kretz, Keith A., John Darby, Patrick J. Willems, & John S. O’Brien. (1989). Characterization of EcoRI mutation in fucosidosis patients: A stop codon in the open reading frame. Journal of Molecular Neuroscience. 1(3). 177–180. 17 indexed citations
12.
Stephens, Karen, Vincent M. Riccardi, Siu Kin Ng, et al.. (1989). Genetic analysis of eight loci tightly linked to neurofibromatosis 1.. PubMed. 44(1). 13–9. 14 indexed citations
13.
DiCioccio, Richard A., John Darby, & Patrick J. Willems. (1989). Abnormal expression of?-L-fucosidase in lymphoid cell lines of fucosidosis patients. Biochemical Genetics. 27(5-6). 279–290. 11 indexed citations
14.
O′Brien, J S, Patrick J. Willems, H. Fukushima, et al.. (1987). Molecular Biology of the Alpha-L-Fucosidase Gene andFucosidosis. Enzyme. 38(1-4). 45–53. 19 indexed citations
15.
Darby, John, Vincent M. Riccardi, Susan Huson, et al.. (1986). Linkage Analysis between the β‐Nerve Growth Factor Gene and Other Chromosome lp Markers and Disseminated Neurofibromatosisa. Annals of the New York Academy of Sciences. 486(1). 311–326. 3 indexed citations
16.
Kidd, K.K., J.R. Kidd, Carmela M. Castiglione, et al.. (1986). Linkage Analyses of Multiple Endocrine Neoplasia, Type 2A (MEN-2A) with 20 DNA Polymorphisms: 5% of the Genome Excluded. Human Heredity. 36(4). 243–249. 15 indexed citations
17.
Darby, John. (1985). Speech and language evaluation in neurology : adult disorders. Grune & Stratton eBooks. 23 indexed citations
18.
Darby, John, et al.. (1984). Speech and voice parameters of depression: A pilot study. Journal of Communication Disorders. 17(2). 75–85. 78 indexed citations
19.
Darby, John. (1981). Speech evaluation in psychiatry. Grune & Stratton eBooks. 112 indexed citations
20.
Darby, John. (1976). Neuropathologic aspects of psychosis in children. Journal of Autism and Developmental Disorders. 6(4). 339–352. 62 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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