Richard Jackson

2.5k total citations · 1 hit paper
33 papers, 1.6k citations indexed

About

Richard Jackson is a scholar working on Psychiatry and Mental health, Molecular Biology and Artificial Intelligence. According to data from OpenAlex, Richard Jackson has authored 33 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Psychiatry and Mental health, 9 papers in Molecular Biology and 9 papers in Artificial Intelligence. Recurrent topics in Richard Jackson's work include Schizophrenia research and treatment (10 papers), Biomedical Text Mining and Ontologies (9 papers) and Bipolar Disorder and Treatment (8 papers). Richard Jackson is often cited by papers focused on Schizophrenia research and treatment (10 papers), Biomedical Text Mining and Ontologies (9 papers) and Bipolar Disorder and Treatment (8 papers). Richard Jackson collaborates with scholars based in United Kingdom, United States and Australia. Richard Jackson's co-authors include Robert Stewart, Matthew Broadbent, Richard D. Hayes, Hitesh Shetty, Chin‐Kuo Chang, Rashmi Patel, Angus Roberts, Michael Ball, Johnny Downs and Philip McGuire and has published in prestigious journals such as The Lancet, Environmental Science & Technology and Bioinformatics.

In The Last Decade

Richard Jackson

32 papers receiving 1.6k 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.

Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resource

2016 368 citations Gayan Perera, Matthew Broadbent et al. BMJ Open profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Richard Jackson United Kingdom	18	675	302	285	226	194	33	1.6k
Judith A. Racoosin United States	15	468 0.7×	108 0.4×	508 1.8×	111 0.5×	174 0.9×	27	2.1k
Megan Pritchard United Kingdom	20	530 0.8×	72 0.2×	274 1.0×	164 0.7×	184 0.9×	70	1.6k
Andrea Fernandes United Kingdom	13	687 1.0×	99 0.3×	423 1.5×	420 1.9×	57 0.3×	19	1.6k
Gayan Perera United Kingdom	24	1.3k 1.9×	96 0.3×	398 1.4×	316 1.4×	101 0.5×	82	2.6k
Kenneth Gersing United States	15	506 0.7×	115 0.4×	137 0.5×	81 0.4×	55 0.3×	39	1.3k
Matthew Broadbent United Kingdom	34	1.5k 2.2×	298 1.0×	890 3.1×	543 2.4×	225 1.2×	106	3.6k
Chian‐Jue Kuo Taiwan	27	965 1.4×	54 0.2×	705 2.5×	239 1.1×	174 0.9×	106	2.2k
Richard N. Rosenthal United States	30	654 1.0×	62 0.2×	377 1.3×	315 1.4×	88 0.5×	72	2.1k
Robert R. Verbrugge United States	14	420 0.6×	254 0.8×	98 0.3×	103 0.5×	89 0.5×	34	3.3k
Tau Ming Liew Singapore	23	644 1.0×	65 0.2×	301 1.1×	84 0.4×	62 0.3×	69	1.3k

Countries citing papers authored by Richard Jackson

Since Specialization

Citations

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

Fields of papers citing papers by Richard Jackson

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Jackson

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

All Works

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20 of 20 papers shown

Yoon, Wonjin, et al.. (2023). Biomedical relation extraction with knowledge base–refined weak supervision. Database. 2023. 3 indexed citations

Yoon, Wonjin, et al.. (2022). Sequence tagging for biomedical extractive question answering. Bioinformatics. 38(15). 3794–3801. 17 indexed citations

Chandran, David, Chin‐Kuo Chang, Hitesh Shetty, et al.. (2019). Use of Natural Language Processing to identify Obsessive Compulsive Symptoms in patients with schizophrenia, schizoaffective disorder or bipolar disorder. Scientific Reports. 9(1). 14146–14146. 20 indexed citations

Meyer, Nicholas, Maximilian Kerz, Amos Folarin, et al.. (2018). Capturing Rest-Activity Profiles in Schizophrenia Using Wearable and Mobile Technologies: Development, Implementation, Feasibility, and Acceptability of a Remote Monitoring Platform. JMIR mhealth and uhealth. 6(10). e188–e188. 42 indexed citations

Wu, Honghan, Katherine I. Morley, Zina Ibrahim, et al.. (2018). SemEHR: A general-purpose semantic search system to surface semantic data from clinical notes for tailored care, trial recruitment, and clinical research*. Journal of the American Medical Informatics Association. 25(5). 530–537. 73 indexed citations

Patel, Rashmi, et al.. (2018). Illicit Substance Use in First Episode Psychosis (FEP): A Natural Language Processing (NLP) Electronic Health Record Study. Research Portal (King's College London). 12. 4 indexed citations

Jackson, Richard, Clive Stringer, Genevieve Gorrell, et al.. (2018). CogStack - experiences of deploying integrated information retrieval and extraction services in a large National Health Service Foundation Trust hospital. BMC Medical Informatics and Decision Making. 18(1). 47–47. 73 indexed citations

Jackson, Richard, Rashmi Patel, Anna Kolliakou, et al.. (2017). Natural language processing to extract symptoms of severe mental illness from clinical text: the Clinical Record Interactive Search Comprehensive Data Extraction (CRIS-CODE) project. BMJ Open. 7(1). e012012–e012012. 154 indexed citations

Perera, Gayan, Matthew Broadbent, Felicity Callard, et al.. (2016). Cohort profile of the South London and Maudsley NHS Foundation Trust Biomedical Research Centre (SLaM BRC) Case Register: current status and recent enhancement of an Electronic Mental Health Record-derived data resource. BMJ Open. 6(3). e008721–e008721. 368 indexed citations breakdown →

10.

Patel, Rashmi, Robin Wilson, Richard Jackson, et al.. (2016). Association of cannabis use with hospital admission and antipsychotic treatment failure in first episode psychosis: an observational study. BMJ Open. 6(3). e009888–e009888. 106 indexed citations

11.

Kadra-Scalzo, Giouliana, Robert Stewart, Hitesh Shetty, et al.. (2015). Extracting antipsychotic polypharmacy data from electronic health records: developing and evaluating a novel process. BMC Psychiatry. 15(1). 166–166. 42 indexed citations

12.

Patel, Rashmi, Matthew Broadbent, Chin‐Kuo Chang, et al.. (2015). Negative symptoms in schizophrenia: a study in a large clinical sample of patients using a novel automated method. BMJ Open. 5(9). e007619–e007619. 73 indexed citations

13.

Patel, Rashmi, Robin Wilson, Richard Jackson, et al.. (2015). Cannabis use and treatment resistance in first episode psychosis: a natural language processing study. The Lancet. 385. S79–S79. 26 indexed citations

14.

Downs, Johnny, Matthew Hotopf, Tamsin Ford, et al.. (2015). Clinical predictors of antipsychotic use in children and adolescents with autism spectrum disorders: a historical open cohort study using electronic health records. European Child & Adolescent Psychiatry. 25(6). 649–658. 32 indexed citations

15.

Patel, Rashmi, Richard Jackson, Michael Ball, et al.. (2015). Mood instability is a common feature of mental health disorders and is associated with poor clinical outcomes. BMJ Open. 5(5). e007504–e007504. 91 indexed citations

16.

Patel, Rashmi, Hitesh Shetty, Richard Jackson, et al.. (2015). Delays before Diagnosis and Initiation of Treatment in Patients Presenting to Mental Health Services with Bipolar Disorder. PLoS ONE. 10(5). e0126530–e0126530. 50 indexed citations

17.

Huby, R., et al.. (2014). The Incidence of Sexually Dimorphic Gene Expression Varies Greatly between Tissues in the Rat. PLoS ONE. 9(12). e115792–e115792. 12 indexed citations

18.

Hayes, Richard D., Johnny Downs, Chin‐Kuo Chang, et al.. (2014). The Effect of Clozapine on Premature Mortality: An Assessment of Clinical Monitoring and Other Potential Confounders. Schizophrenia Bulletin. 41(3). 644–655. 96 indexed citations

19.

Fernandes, Andrea, Matthew Broadbent, Richard D. Hayes, et al.. (2013). Development and evaluation of a de-identification procedure for a case register sourced from mental health electronic records. BMC Medical Informatics and Decision Making. 13(1). 71–71. 151 indexed citations

20.

Gorrell, Genevieve, et al.. (2013). Proceedings of the Workshop on NLP for Medicine and Biology associated with RANLP 2013. 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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