Bernard Hernandez

720 total citations
26 papers, 462 citations indexed

About

Bernard Hernandez is a scholar working on Applied Microbiology and Biotechnology, Public Health, Environmental and Occupational Health and Clinical Biochemistry. According to data from OpenAlex, Bernard Hernandez has authored 26 papers receiving a total of 462 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Applied Microbiology and Biotechnology, 8 papers in Public Health, Environmental and Occupational Health and 7 papers in Clinical Biochemistry. Recurrent topics in Bernard Hernandez's work include Antibiotic Use and Resistance (10 papers), Bacterial Identification and Susceptibility Testing (7 papers) and Mosquito-borne diseases and control (5 papers). Bernard Hernandez is often cited by papers focused on Antibiotic Use and Resistance (10 papers), Bacterial Identification and Susceptibility Testing (7 papers) and Mosquito-borne diseases and control (5 papers). Bernard Hernandez collaborates with scholars based in United Kingdom, Vietnam and Australia. Bernard Hernandez's co-authors include Pantelis Georgiou, Alison Holmes, Timothy M. Rawson, Pau Herrero, Luke Moore, Esmita Charani, Enrique Castro‐Sánchez, Benedict Hayhoe, William Hope and C. Toumazou and has published in prestigious journals such as SHILAP Revista de lepidopterología, Clinical Infectious Diseases and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Bernard Hernandez

25 papers receiving 454 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Bernard Hernandez United Kingdom	12	179	96	96	88	72	26	462
Nirav Shah United States	14	88 0.5×	55 0.6×	253 2.6×	73 0.8×	43 0.6×	38	627
Courtney Hebert United States	14	90 0.5×	53 0.6×	169 1.8×	93 1.1×	61 0.8×	59	700
Lu-Cheng Kuo Taiwan	15	44 0.2×	45 0.5×	116 1.2×	27 0.3×	46 0.6×	33	658
N. Almanasreh Israel	7	175 1.0×	50 0.5×	212 2.2×	159 1.8×	58 0.8×	10	489
Carlos Palos Portugal	8	59 0.3×	30 0.3×	97 1.0×	22 0.3×	26 0.4×	18	516
Charles J. Mullett United States	11	89 0.5×	41 0.4×	58 0.6×	42 0.5×	36 0.5×	31	504
Anders D. Nielsen Israel	7	188 1.1×	52 0.5×	224 2.3×	171 1.9×	59 0.8×	7	508
Meera Tandan Ireland	12	63 0.4×	101 1.1×	122 1.3×	20 0.2×	30 0.4×	31	400
Aikaterini Sakagianni Greece	13	143 0.8×	8 0.1×	118 1.2×	146 1.7×	27 0.4×	35	600
Matthew Toerper United States	10	21 0.1×	58 0.6×	99 1.0×	39 0.4×	55 0.8×	17	525

Countries citing papers authored by Bernard Hernandez

Since Specialization

Citations

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

Fields of papers citing papers by Bernard Hernandez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernard Hernandez

This figure shows the co-authorship network connecting the top 25 collaborators of Bernard Hernandez. A scholar is included among the top collaborators of Bernard Hernandez 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 Bernard Hernandez. Bernard Hernandez 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

Ming, Damien, Timothy M. Rawson, Pantelis Georgiou, et al.. (2025). Utilising routinely collected clinical data through time series deep learning to improve identification of bacterial bloodstream infections: a retrospective cohort study. The Lancet Digital Health. 7(3). e205–e215. 1 indexed citations

Hernandez, Bernard, Damien Ming, W. Bolton, et al.. (2024). Advances in diagnosis and prognosis of bacteraemia, bloodstream infection, and sepsis using machine learning: A comprehensive living literature review. Artificial Intelligence in Medicine. 160. 103008–103008. 5 indexed citations

Chanh, Ho Quang, John Daniels, Hoang Minh Tu Van, et al.. (2024). Towards a machine-learning assisted non-invasive classification of dengue severity using wearable PPG data: a prospective clinical study. EBioMedicine. 104. 105164–105164. 5 indexed citations

Ming, Damien, John Daniels, Ho Quang Chanh, et al.. (2024). Predicting deterioration in dengue using a low cost wearable for continuous clinical monitoring. npj Digital Medicine. 7(1). 306–306. 3 indexed citations

Hernandez, Bernard, Damien Ming, Cyrus S. H. Ho, et al.. (2023). A HUMAN-CENTRED DESIGN APPROACH TOWARDS DEVELOPMENT OF A DIGITAL CLINICAL DECISION-SUPPORT SYSTEM FOR MANAGEMENT OF HOSPITALISED PATIENTS WITH DENGUE. International Journal of Infectious Diseases. 130. S87–S88. 2 indexed citations

Ho, Chu Po, John Daniels, Giang T. Nguyen, et al.. (2023). A PROSPECTIVE CLINICAL STUDY ON THE USE OF A NON-INVASIVE WEARABLE DEVICE AND NEURAL NETWORK MODELS FOR PATIENTS WITH DENGUE. International Journal of Infectious Diseases. 130. S4–S4.

Hernandez, Bernard, Damien Ming, Ho Quang Chanh, et al.. (2023). Learning meaningful latent space representations for patient risk stratification: Model development and validation for dengue and other acute febrile illness. Frontiers in Digital Health. 5. 1057467–1057467. 1 indexed citations

Ming, Damien, Ho Quang Chanh, Dong Thi Hoai Tam, et al.. (2023). Mapping patient pathways and understanding clinical decision-making in dengue management to inform the development of digital health tools. BMC Medical Informatics and Decision Making. 23(1). 24–24. 2 indexed citations

Ming, Damien, Bernard Hernandez, Sorawat Sangkaew, et al.. (2022). Applied machine learning for the risk-stratification and clinical decision support of hospitalised patients with dengue in Vietnam. SHILAP Revista de lepidopterología. 1(1). e0000005–e0000005. 11 indexed citations

10.

Ming, Damien, Tuan M. Nguyen, Bernard Hernandez, et al.. (2022). The Diagnosis of Dengue in Patients Presenting With Acute Febrile Illness Using Supervised Machine Learning and Impact of Seasonality. Frontiers in Digital Health. 4. 849641–849641. 12 indexed citations

11.

Khoa, Le Dinh Van, Bernard Hernandez, Nguyen Van Chuc, et al.. (2022). vital_sqi: A Python package for physiological signal quality control. Frontiers in Physiology. 13. 1020458–1020458. 7 indexed citations

12.

Bolton, W., Timothy M. Rawson, Bernard Hernandez, et al.. (2022). Machine learning and synthetic outcome estimation for individualised antimicrobial cessation. Frontiers in Digital Health. 4. 997219–997219. 12 indexed citations

13.

Ming, Damien, Bernard Hernandez, Andrea Y. Weiße, et al.. (2021). Informing antimicrobial management in the context of COVID-19: understanding the longitudinal dynamics of C-reactive protein and procalcitonin. BMC Infectious Diseases. 21(1). 932–932. 14 indexed citations

14.

Ming, Damien, Bernard Hernandez, Andrea Y. Weiße, et al.. (2021). Correction to: Informing antimicrobial management in the context of COVID-19: understanding the longitudinal dynamics of C-reactive protein and procalcitonin. BMC Infectious Diseases. 21(1). 1 indexed citations

15.

Rawson, Timothy M., Bernard Hernandez, Richard Wilson, et al.. (2021). Supervised machine learning to support the diagnosis of bacterial infection in the context of COVID-19. JAC-Antimicrobial Resistance. 3(1). dlab002–dlab002. 17 indexed citations

16.

Rawson, Timothy M., Luke Moore, Enrique Castro‐Sánchez, et al.. (2018). Development of a patient-centred intervention to improve knowledge and understanding of antibiotic therapy in secondary care. Antimicrobial Resistance and Infection Control. 7(1). 43–43. 19 indexed citations

17.

Rawson, Timothy M., Bernard Hernandez, Luke Moore, et al.. (2018). Supervised machine learning for the prediction of infection on admission to hospital: a prospective observational cohort study. Journal of Antimicrobial Chemotherapy. 74(4). 1108–1115. 36 indexed citations

18.

Hernandez, Bernard, Pau Herrero, Timothy M. Rawson, et al.. (2017). Supervised learning for infection risk inference using pathology data. BMC Medical Informatics and Decision Making. 17(1). 168–168. 34 indexed citations

19.

Rawson, Timothy M., Luke Moore, Bernard Hernandez, et al.. (2016). Patient engagement with infection management in secondary care: a qualitative investigation of current experiences. BMJ Open. 6(10). e011040–e011040. 19 indexed citations

20.

Rawson, Timothy M., Esmita Charani, Luke Moore, et al.. (2016). Mapping the decision pathways of acute infection management in secondary care among UK medical physicians: a qualitative study. BMC Medicine. 14(1). 208–208. 43 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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