Oscar Perez‐Concha

905 total citations
45 papers, 574 citations indexed

About

Oscar Perez‐Concha is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Epidemiology. According to data from OpenAlex, Oscar Perez‐Concha has authored 45 papers receiving a total of 574 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 12 papers in Computer Vision and Pattern Recognition and 5 papers in Epidemiology. Recurrent topics in Oscar Perez‐Concha's work include Machine Learning in Healthcare (9 papers), Video Surveillance and Tracking Methods (7 papers) and Anomaly Detection Techniques and Applications (6 papers). Oscar Perez‐Concha is often cited by papers focused on Machine Learning in Healthcare (9 papers), Video Surveillance and Tracking Methods (7 papers) and Anomaly Detection Techniques and Applications (6 papers). Oscar Perez‐Concha collaborates with scholars based in Australia, Spain and United States. Oscar Perez‐Concha's co-authors include Blanca Gallego, Enrico Coiera, Richard O. Day, Massimo Piccardi, Ken Hillman, Geoff P. Delaney, Louisa Jorm, Xiongcai Cai, Fernando Martín-Sánchez and Richard Yi Da Xu and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Oscar Perez‐Concha

40 papers receiving 555 citations

Peers

Oscar Perez‐Concha

HIM

CVPR

CCM

Sanjeev P. Bhavnani United States

Peyman Rezaei‐Hachesu Iran

Bo Jin China

Justin J. Boutilier United States

Eric Schmidt United States

Müge Capan United States

Prem Timsina United States

Luis Ahumada United States

Radwa Elshawi Saudi Arabia

Craig F. Feied United States

Sanjeev P. Bhavnani United States

Oscar Perez‐Concha

186 ×1.1

102 ×0.7

66 ×0.8

HIM

52 ×0.7

CVPR

300 ×4.4

CCM

Citations per year, relative to Oscar Perez‐Concha Oscar Perez‐Concha (= 1×) peers Sanjeev P. Bhavnani

Countries citing papers authored by Oscar Perez‐Concha

Since Specialization

Citations

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

Fields of papers citing papers by Oscar Perez‐Concha

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Oscar Perez‐Concha. 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 Oscar Perez‐Concha. The network helps show where Oscar Perez‐Concha may publish in the future.

Co-authorship network of co-authors of Oscar Perez‐Concha

This figure shows the co-authorship network connecting the top 25 collaborators of Oscar Perez‐Concha. A scholar is included among the top collaborators of Oscar Perez‐Concha 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 Oscar Perez‐Concha. Oscar Perez‐Concha 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

Butler, Tony, et al.. (2025). Leveraging AI to Investigate Child Maltreatment Text Narratives: Promising Benefits and Addressable Risks. JMIR Pediatrics and Parenting. 8. e73579–e73579.

Liu, Leibo, et al.. (2024). Adapting Large Language Models for Automated Summarisation of Electronic Medical Records in Clinical Coding. Studies in health technology and informatics. 318. 24–29.

He, Vincent Yaofeng, et al.. (2023). Complex early childhood experiences: Characteristics of Northern Territory children across health, education and child protection data. PLoS ONE. 18(1). e0280648–e0280648. 5 indexed citations

Perez‐Concha, Oscar, Mark Hanly, Juliana de Oliveira Costa, et al.. (2023). Enriching Data Science and Health Care Education: Application and Impact of Synthetic Data Sets Through the Health Gym Project. JMIR Medical Education. 10. e51388–e51388. 5 indexed citations

Liu, Leibo, Oscar Perez‐Concha, Anthony Nguyen, et al.. (2023). Web-Based Application Based on Human-in-the-Loop Deep Learning for Deidentifying Free-Text Data in Electronic Medical Records: Development and Usability Study. SHILAP Revista de lepidopterología. 12. e46322–e46322. 3 indexed citations

Fitzgerald, Oisín, et al.. (2023). Continuous time recurrent neural networks: Overview and benchmarking at forecasting blood glucose in the intensive care unit. Journal of Biomedical Informatics. 146. 104498–104498. 6 indexed citations

Misra, Satyajayant, et al.. (2023). FLNET2023: Realistic Network Intrusion Detection Dataset for Federated Learning. 345–350. 5 indexed citations

Fitzgerald, Oisín, et al.. (2023). The relationship between hyperglycaemia on admission and patient outcome is modified by hyperlactatemia and diabetic status: a retrospective analysis of the eICU collaborative research database. Scientific Reports. 13(1). 15692–15692. 2 indexed citations

Liu, Leibo, Oscar Perez‐Concha, Anthony Nguyen, Vicki Bennett, & Louisa Jorm. (2022). De-identifying Australian hospital discharge summaries: An end-to-end framework using ensemble of deep learning models. Journal of Biomedical Informatics. 135. 104215–104215. 9 indexed citations

10.

Perez‐Concha, Oscar, David Goldstein, Mark Harris, et al.. (2022). Uptake of Team Care Arrangements for adults newly diagnosed with cancer. Australian Journal of Primary Health. 29(1). 20–29. 2 indexed citations

11.

Liu, Leibo, Oscar Perez‐Concha, Anthony Nguyen, Vicki Bennett, & Louisa Jorm. (2022). Hierarchical label-wise attention transformer model for explainable ICD coding. Journal of Biomedical Informatics. 133. 104161–104161. 20 indexed citations

12.

Louie, Jimmy Chun Yu, et al.. (2021). A Machine Learning Approach to Predict the Added-Sugar Content of Packaged Foods. Journal of Nutrition. 152(1). 343–349. 15 indexed citations

13.

Fitzgerald, Oisín, Oscar Perez‐Concha, Blanca Gallego, et al.. (2021). Incorporating real-world evidence into the development of patient blood glucose prediction algorithms for the ICU. Journal of the American Medical Informatics Association. 28(8). 1642–1650. 12 indexed citations

14.

Schaffer, Andrea L., Sallie‐Anne Pearson, Oscar Perez‐Concha, et al.. (2020). Diagnostic and health service pathways to diagnosis of cancer-registry notified cancer of unknown primary site (CUP). PLoS ONE. 15(3). e0230373–e0230373. 6 indexed citations

15.

Vajdic, Claire M., Oscar Perez‐Concha, Joel Rhee, et al.. (2019). Health-related predictors of cancer registry-notified cancer of unknown primary site (CUP). Cancer Epidemiology. 61. 1–7. 5 indexed citations

16.

Vajdic, Claire M., Oscar Perez‐Concha, Timothy Dobbins, et al.. (2019). Demographic, social and lifestyle risk factors for cancer registry-notified cancer of unknown primary site (CUP). Cancer Epidemiology. 60. 156–161. 21 indexed citations

17.

Perez‐Concha, Oscar, et al.. (2018). Predicting 7-day, 30-day and 60-day all-cause unplanned readmission: a case study of a Sydney hospital. BMC Medical Informatics and Decision Making. 18(1). 1–1. 57 indexed citations

18.

Wang, Ying, Enrico Coiera, Blanca Gallego, et al.. (2015). Measuring the effects of computer downtime on hospital pathology processes. Journal of Biomedical Informatics. 59. 308–315. 21 indexed citations

19.

Gallego, Blanca, Farah Magrabi, Oscar Perez‐Concha, Ying Wang, & Enrico Coiera. (2015). Insights into temporal patterns of hospital patient safety from routinely collected electronic data. Health Information Science and Systems. 3(S1). S2–S2. 15 indexed citations

20.

Rodríguez, Blanca, Oscar Perez‐Concha, Jesús Garcı́a, & José M. Molina. (2008). MACHINE LEARNING TECHNIQUES FOR ACQUIRING NEW KNOWLEDGE IN IMAGE TRACKING. Applied Artificial Intelligence. 22(3). 266–282. 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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