James Malycha

668 total citations
17 papers, 232 citations indexed

About

James Malycha is a scholar working on Epidemiology, Surgery and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, James Malycha has authored 17 papers receiving a total of 232 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Epidemiology, 5 papers in Surgery and 5 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in James Malycha's work include Sepsis Diagnosis and Treatment (11 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers) and Emergency and Acute Care Studies (4 papers). James Malycha is often cited by papers focused on Sepsis Diagnosis and Treatment (11 papers), Cardiac, Anesthesia and Surgical Outcomes (4 papers) and Emergency and Acute Care Studies (4 papers). James Malycha collaborates with scholars based in Australia, United Kingdom and Netherlands. James Malycha's co-authors include Peter Watkinson, Oliver Redfern, Marco A. F. Pimentel, David Prytherch, Gary S. Collins, Stephen Gerry, Gary B. Smith, Paul E. Schmidt, Duncan Young and Guy Ludbrook and has published in prestigious journals such as Scientific Reports, Journal of the American Medical Informatics Association and BMJ Open.

In The Last Decade

James Malycha

17 papers receiving 227 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Malycha Australia 8 128 86 38 34 30 17 232
Ilona W. M. Verburg Netherlands 8 151 1.2× 54 0.6× 49 1.3× 45 1.3× 55 1.8× 9 306
Serena Sibilio Italy 9 76 0.6× 111 1.3× 42 1.1× 23 0.7× 20 0.7× 44 260
Timothy H Gould United Kingdom 6 50 0.4× 47 0.5× 28 0.7× 38 1.1× 19 0.6× 11 193
Arne J. van Tienhoven Netherlands 4 194 1.5× 150 1.7× 105 2.8× 36 1.1× 57 1.9× 6 328
Lisa Weavind United States 6 95 0.7× 34 0.4× 65 1.7× 31 0.9× 23 0.8× 12 210
Roger Duckitt United Kingdom 5 110 0.9× 108 1.3× 58 1.5× 12 0.4× 24 0.8× 6 225
Dana R. Sax United States 9 68 0.5× 132 1.5× 56 1.5× 22 0.6× 126 4.2× 34 329
Se Uk Lee South Korea 10 115 0.9× 135 1.6× 75 2.0× 23 0.7× 26 0.9× 46 338
Shawn Cody United States 5 66 0.5× 53 0.6× 35 0.9× 9 0.3× 26 0.9× 7 265
Richard P. Medlin United States 11 84 0.7× 108 1.3× 9 0.2× 48 1.4× 25 0.8× 27 282

Countries citing papers authored by James Malycha

Since Specialization
Citations

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

Fields of papers citing papers by James Malycha

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Malycha

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

All Works

17 of 17 papers shown
1.
Vegt, Anton van der, et al.. (2025). Factors underpinning the performance of implemented artificial intelligence-based patient deterioration prediction systems: reasons for selection and implications for hospitals and researchers. Journal of the American Medical Informatics Association. 32(3). 492–509. 2 indexed citations
2.
Cromer, Deborah, James Malycha, Chris Andersen, et al.. (2024). Defining the correlates of lymphopenia and independent predictors of poor clinical outcome in adults hospitalized with COVID-19 in Australia. Scientific Reports. 14(1). 11102–11102. 2 indexed citations
3.
Soares, James R., et al.. (2024). Intensive care unit admission criteria: a scoping review. Journal of the Intensive Care Society. 25(3). 296–307. 2 indexed citations
4.
Kovoor, Joshua G., Stephen Bacchi, Aashray Gupta, et al.. (2023). The Adelaide Score: An artificial intelligence measure of readiness for discharge after general surgery. ANZ Journal of Surgery. 93(9). 2119–2124. 10 indexed citations
5.
Vegt, Anton van der, Imogen Mitchell, James Malycha, et al.. (2023). Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain. Journal of the American Medical Informatics Association. 31(2). 509–524. 12 indexed citations
6.
Kovoor, Joshua G., Aashray Gupta, Brandon Stretton, et al.. (2023). Single count breath test for the evaluation of respiratory function in Myasthenia Gravis: A systematic review. Journal of Clinical Neuroscience. 112. 58–63. 7 indexed citations
7.
Malycha, James, Chris Andersen, Oliver Redfern, et al.. (2022). Protocol describing a systematic review and mixed methods consensus process to define the deteriorated ward patient. BMJ Open. 12(9). e057614–e057614. 2 indexed citations
8.
Malycha, James, Stephen Bacchi, & Oliver Redfern. (2022). Artificial intelligence and clinical deterioration. Current Opinion in Critical Care. 28(3). 315–321. 10 indexed citations
9.
Malycha, James, Oliver Redfern, Marco A. F. Pimentel, et al.. (2021). Evaluation of a digital system to predict unplanned admissions to the intensive care unit: A mixed-methods approach. Resuscitation Plus. 9. 100193–100193. 1 indexed citations
10.
Malycha, James, et al.. (2021). Systematic review of applied usability metrics within usability evaluation methods for hospital electronic healthcare record systems. Journal of Evaluation in Clinical Practice. 27(6). 1403–1416. 30 indexed citations
11.
Malycha, James, Oliver Redfern, Guy Ludbrook, Duncan Young, & Peter Watkinson. (2019). Testing a digital system that ranks the risk of unplanned intensive care unit admission in all ward patients: protocol for a prospective observational cohort study. BMJ Open. 9(9). e032429–e032429. 7 indexed citations
12.
Malycha, James, Timothy Bonnici, David A. Clifton, et al.. (2019). Patient centred variables with univariate associations with unplanned ICU admission: a systematic review. BMC Medical Informatics and Decision Making. 19(1). 98–98. 13 indexed citations
13.
Malycha, James, et al.. (2019). Using real-time location devices (RTLD) to quantify off-unit adult intensive care registrar workload: a 1-year tertiary NHS hospital prospective observational study. Journal of Clinical Monitoring and Computing. 34(4). 805–809. 2 indexed citations
14.
Malycha, James, Nazli Farajidavar, Marco A. F. Pimentel, et al.. (2019). The effect of fractional inspired oxygen concentration on early warning score performance: A database analysis. Resuscitation. 139. 192–199. 18 indexed citations
15.
Pimentel, Marco A. F., Oliver Redfern, Stephen Gerry, et al.. (2018). A comparison of the ability of the National Early Warning Score and the National Early Warning Score 2 to identify patients at risk of in-hospital mortality: A multi-centre database study. Resuscitation. 134. 147–156. 109 indexed citations
16.
Collins, Gary S., Stephen Gerry, James Malycha, et al.. (2018). External validation of the National Early Warning Score 2 (NEWS2) prediction of in-hospital death in patients with type II respiratory failure: a multi-centre database study [protocol]. Oxford University Research Archive (ORA) (University of Oxford). 1 indexed citations
17.
Malycha, James, Tim Bonnici, Katarı́na Šebeková, et al.. (2017). Variables associated with unplanned general adult ICU admission in hospitalised patients: protocol for a systematic review. Systematic Reviews. 6(1). 67–67. 4 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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