Balázs Benyó

2.3k total citations
144 papers, 1.6k citations indexed

About

Balázs Benyó is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Biomedical Engineering. According to data from OpenAlex, Balázs Benyó has authored 144 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 50 papers in Endocrinology, Diabetes and Metabolism, 32 papers in Surgery and 31 papers in Biomedical Engineering. Recurrent topics in Balázs Benyó's work include Diabetes Management and Research (45 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (44 papers) and Metabolism, Diabetes, and Cancer (22 papers). Balázs Benyó is often cited by papers focused on Diabetes Management and Research (45 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (44 papers) and Metabolism, Diabetes, and Cancer (22 papers). Balázs Benyó collaborates with scholars based in Hungary, New Zealand and Romania. Balázs Benyó's co-authors include Zoltán Benyó, Levente Kovács, J. Geoffrey Chase, Tamás Haidegger, Geoffrey M. Shaw, Thomas Desaive, Ștefan Preitl, Radu‐Emil Precup, Christopher G. Pretty and László Szilágyi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Brain Research.

In The Last Decade

Balázs Benyó

130 papers receiving 1.6k citations

Peers

Balázs Benyó
Balázs Benyó
Citations per year, relative to Balázs Benyó Balázs Benyó (= 1×) peers Stavroula Mougiakakou

Countries citing papers authored by Balázs Benyó

Since Specialization
Citations

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

Fields of papers citing papers by Balázs Benyó

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Balázs Benyó

This figure shows the co-authorship network connecting the top 25 collaborators of Balázs Benyó. A scholar is included among the top collaborators of Balázs Benyó 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 Balázs Benyó. Balázs Benyó 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.
Kovács, Katalin J., et al.. (2025). Advances in invasive and non-invasive glucose monitoring: A review of microwave-based sensors. Sensors and Actuators Reports. 9. 100332–100332. 3 indexed citations
2.
Chase, J. Geoffrey, et al.. (2025). Evaluation of insulin sensitivity temporal prediction by using quantile regression combined with neural network model. International Journal of Medical Informatics. 202. 105964–105964.
3.
Chase, J. Geoffrey, et al.. (2024). Design of High Sensitivity Split Ring Resonator Sensor for Invasive Blood Glucose Monitoring. IFAC-PapersOnLine. 58(24). 303–308. 3 indexed citations
5.
6.
Chen, Rongqing, et al.. (2023). Structural priors represented by discrete cosine transform improve EIT functional imaging. PLoS ONE. 18(5). e0285619–e0285619. 4 indexed citations
7.
Benyó, Balázs, et al.. (2023). Classification-based deep neural network vs mixture density network models for insulin sensitivity prediction problem. Computer Methods and Programs in Biomedicine. 240. 107633–107633. 7 indexed citations
8.
Chen, Rongqing, et al.. (2022). Differentiating Phenotypes of Coronavirus Disease-2019 Pneumonia by Electric Impedance Tomography. Frontiers in Medicine. 9. 747570–747570. 5 indexed citations
9.
Zhou, Cong, J. Geoffrey Chase, Qianhui Sun, et al.. (2022). Reconstructing asynchrony for mechanical ventilation using a hysteresis loop virtual patient model. BioMedical Engineering OnLine. 21(1). 16–16. 10 indexed citations
10.
Chase, J. Geoffrey, Jean‐Charles Preiser, Jennifer L. Dickson, et al.. (2018). Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them. BioMedical Engineering OnLine. 17(1). 24–24. 131 indexed citations
12.
Chiew, Yeong Shiong, Daniel P. Redmond, Alex Beatson, et al.. (2014). The Clinical Utilisation of Respiratory Elastance Software (CURE Soft): a bedside software for real-time respiratory mechanics monitoring and mechanical ventilation management. BioMedical Engineering OnLine. 13(1). 140–140. 63 indexed citations
13.
Ferenci, Tamás, et al.. (2013). Daily Evolution of Insulin Sensitivity Variability with Respect to Diagnosis in the Critically Ill. PLoS ONE. 8(2). e57119–e57119. 13 indexed citations
14.
Szilágyi, László, et al.. (2010). Stery-hand: A new device to support hand disinfection. PubMed. 2010. 4756–4759. 7 indexed citations
15.
Kovács, Levente, Balázs Benyó, J. Bokor, & Zoltán Benyó. (2010). Induced L2-norm minimization of glucose–insulin system for Type I diabetic patients. Computer Methods and Programs in Biomedicine. 102(2). 105–118. 52 indexed citations
16.
Benyó, Balázs, et al.. (2009). Detection of the root canal's centerline from dental micro-CT records. PubMed. 2. 3517–3520. 6 indexed citations
17.
Major, P., et al.. (2009). Local energy scale map for NanoPET™/CT system. 3177–3180. 4 indexed citations
18.
Kovács, Levente, et al.. (2006). Robust Blood-Glucose Control using Mathematica. PubMed. 49. 451–454. 14 indexed citations
19.
20.
Bíró, J, et al.. (2003). A common periodic table of codons and amino acids. Biochemical and Biophysical Research Communications. 306(2). 408–415. 41 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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