Pau Herrero

4.0k total citations
97 papers, 2.8k citations indexed

About

Pau Herrero is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Genetics. According to data from OpenAlex, Pau Herrero has authored 97 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 63 papers in Endocrinology, Diabetes and Metabolism, 46 papers in Surgery and 25 papers in Genetics. Recurrent topics in Pau Herrero's work include Diabetes Management and Research (63 papers), Pancreatic function and diabetes (45 papers) and Diabetes and associated disorders (25 papers). Pau Herrero is often cited by papers focused on Diabetes Management and Research (63 papers), Pancreatic function and diabetes (45 papers) and Diabetes and associated disorders (25 papers). Pau Herrero collaborates with scholars based in United Kingdom, Spain and Italy. Pau Herrero's co-authors include Pantelis Georgiou, Kezhi Li, Taiyu Zhu, Nick Oliver, Monika Reddy, Chengyuan Liu, C. Toumazou, John Daniels, Josep Vehı́ and Jorge Bondía and has published in prestigious journals such as Nature Reviews Microbiology, Clinical Infectious Diseases and IEEE Transactions on Biomedical Engineering.

In The Last Decade

Pau Herrero

95 papers receiving 2.7k citations

Peers

Pau Herrero
Pantelis Georgiou United Kingdom
Jessica R. Castle United States
Geoffrey M. Shaw New Zealand
Eldon D. Lehmann United Kingdom
Ole Hejlesen Denmark
Pantelis Georgiou United Kingdom
Pau Herrero
Citations per year, relative to Pau Herrero Pau Herrero (= 1×) peers Pantelis Georgiou

Countries citing papers authored by Pau Herrero

Since Specialization
Citations

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

Fields of papers citing papers by Pau Herrero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pau Herrero

This figure shows the co-authorship network connecting the top 25 collaborators of Pau Herrero. A scholar is included among the top collaborators of Pau Herrero 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 Pau Herrero. Pau Herrero 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.
Herrero, Pau, et al.. (2025). Inter-expert reliability in multi-field-of-view automatic drusen segmentation analysis using optical coherence tomography. Biomedical Signal Processing and Control. 112. 108476–108476.
2.
Unsworth, Rebecca, Narvada Jugnee, María Gabriela Thomas, et al.. (2023). Safety and Efficacy of an Adaptive Bolus Calculator for Type 1 Diabetes: A Randomized Controlled Crossover Study. Diabetes Technology & Therapeutics. 25(6). 414–425. 8 indexed citations
3.
Herrero, Pau, Monika Reddy, Pantelis Georgiou, & Nick Oliver. (2022). Identifying Continuous Glucose Monitoring Data Using Machine Learning. Diabetes Technology & Therapeutics. 24(6). 403–408. 9 indexed citations
4.
Aktürk, Halis Kaan, et al.. (2022). Impact of Different Types of Data Loss on Optimal Continuous Glucose Monitoring Sampling Duration. Diabetes Technology & Therapeutics. 24(10). 749–753. 21 indexed citations
5.
Herrero, Pau, Richard Wilson, Jason A. Roberts, et al.. (2022). Closed-loop control of continuous piperacillin delivery: An in silico study. Frontiers in Bioengineering and Biotechnology. 10. 1015389–1015389. 3 indexed citations
6.
Zhu, Taiyu, Kezhi Li, Pau Herrero, & Pantelis Georgiou. (2021). Basal Glucose Control in Type 1 Diabetes Using Deep Reinforcement Learning: An >In Silico Validation. UCL Discovery (University College London). 60 indexed citations
7.
Vargas, Fabian, Clare Martin, G. Maira, et al.. (2021). Is a cloud-based platform useful for diabetes management in Colombia? The Tidepool experience. Computer Methods and Programs in Biomedicine. 208. 106205–106205. 5 indexed citations
8.
Contreras, Iván, Remei Calm, Miguel Saínz, Pau Herrero, & Josep Vehı́. (2021). Combining Grammatical Evolution with Modal Interval Analysis: An Application to Solve Problems with Uncertainty. Mathematics. 9(6). 631–631. 2 indexed citations
9.
Zhu, Taiyu, et al.. (2021). Blood Glucose Prediction in Type 1 Diabetes Using Deep Learning on the Edge. 1–5. 32 indexed citations
10.
Rawson, Timothy M., Richard Wilson, Danny O’Hare, et al.. (2021). Optimizing antimicrobial use: challenges, advances and opportunities. Nature Reviews Microbiology. 19(12). 747–758. 84 indexed citations
11.
Zhu, Taiyu, Xi Yao, Kezhi Li, Pau Herrero, & Pantelis Georgiou. (2020). Blood Glucose Prediction for Type 1 Diabetes Using Generative Adversarial Networks.. UCL Discovery (University College London). 90–94. 13 indexed citations
12.
Herrero, Pau, et al.. (2020). Assessment of Glucose Control Metrics by Discriminant Ratio. Diabetes Technology & Therapeutics. 22(10). 719–726. 21 indexed citations
13.
Avari, Parizad, Yenny Leal, Pau Herrero, et al.. (2020). Safety and Feasibility of the PEPPER Adaptive Bolus Advisor and Safety System: A Randomized Control Study. Diabetes Technology & Therapeutics. 23(3). 175–186. 22 indexed citations
14.
Herrero, Pau, et al.. (2020). Robust Determination of the Optimal Continuous Glucose Monitoring Length of Intervention to Evaluate Long-Term Glycemic Control. Diabetes Technology & Therapeutics. 23(4). 314–319. 38 indexed citations
16.
Chen, Jianwei, Kezhi Li, Pau Herrero, Taiyu Zhu, & Pantelis Georgiou. (2018). Dilated Recurrent Neural Network for Short-time Prediction of Glucose Concentration.. International Joint Conference on Artificial Intelligence. 69–73. 30 indexed citations
17.
Li, Kezhi, John Daniels, Pau Herrero, Chengyuan Liu, & Pantelis Georgiou. (2018). Convolutional Recurrent Neural Networks for Blood Glucose Prediction.. arXiv (Cornell University). 4 indexed citations
18.
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
19.
Herrero, Pau, et al.. (2015). Robust set‐membership parameter estimation of the glucose minimal model. International Journal of Adaptive Control and Signal Processing. 30(2). 173–185. 6 indexed citations
20.
Armengol, Joaquim, Josep Vehı́, Miguel Saínz, & Pau Herrero. (2002). Detección de los Fallos en Procesos Reales Basada en Modelos Intervalares y Múltiples Ventanas Temporales Deslizantes. Computación y Sistemas. 6(2). 94–102. 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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