Flavio Mari

751 total citations
20 papers, 504 citations indexed

About

Flavio Mari is a scholar working on Hematology, Nephrology and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Flavio Mari has authored 20 papers receiving a total of 504 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Hematology, 9 papers in Nephrology and 6 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Flavio Mari's work include Dialysis and Renal Disease Management (9 papers), Erythropoietin and Anemia Treatment (9 papers) and Iron Metabolism and Disorders (7 papers). Flavio Mari is often cited by papers focused on Dialysis and Renal Disease Management (9 papers), Erythropoietin and Anemia Treatment (9 papers) and Iron Metabolism and Disorders (7 papers). Flavio Mari collaborates with scholars based in Germany, Spain and Austria. Flavio Mari's co-authors include C. Barbieri, Emanuele Gatti, Bernard Canaud, Claudia Amato, Stefano Stuard, Andrea Stopper, José D. Martín‐Guerrero, Isabella Cattinelli, Luca Neri and Francesco Bellocchio and has published in prestigious journals such as PLoS ONE, Kidney International and Expert Systems with Applications.

In The Last Decade

Flavio Mari

20 papers receiving 492 citations

Peers

Flavio Mari
Andrea Stopper Germany
Claudia Amato Germany
Adam E. Gawęda United States
Alfred A. Jacobs United States
Cynthia Ciwei Lim Singapore
Jakob Zierk Germany
N.V. Jiménez‐Torres Spain
Ammar Almehmi United States
Ho Jun Chin South Korea
Fawad Qureshi United States
Andrea Stopper Germany
Flavio Mari
Citations per year, relative to Flavio Mari Flavio Mari (= 1×) peers Andrea Stopper

Countries citing papers authored by Flavio Mari

Since Specialization
Citations

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

Fields of papers citing papers by Flavio Mari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Flavio Mari

This figure shows the co-authorship network connecting the top 25 collaborators of Flavio Mari. A scholar is included among the top collaborators of Flavio Mari 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 Flavio Mari. Flavio Mari 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.
Bellocchio, Francesco, Luca Fumagalli, Christian Apel, et al.. (2024). Usage of the Anemia Control Model Is Associated with Reduced Hospitalization Risk in Hemodialysis. Biomedicines. 12(10). 2219–2219. 4 indexed citations
2.
Bellocchio, Francesco, Christian Apel, Stefano Stuard, et al.. (2024). The Use of Anemia Control Model Is Associated with Improved Hemoglobin Target Achievement, Lower Rates of Inappropriate Erythropoietin Stimulating Agents, and Severe Anemia among Dialysis Patients. Blood Purification. 53(5). 405–417. 3 indexed citations
3.
Barbieri, C., Luca Neri, Stefano Stuard, Flavio Mari, & José D. Martín‐Guerrero. (2023). From electronic health records to clinical management systems: how the digital transformation can support healthcare services. Clinical Kidney Journal. 16(11). 1878–1884. 16 indexed citations
4.
Barbieri, C., Luca Neri, Elena Bolzoni, et al.. (2021). How to assess the risks associated with the usage of a medical device based on predictive modeling: the case of an anemia control model certified as medical device. Expert Review of Medical Devices. 18(11). 1117–1121. 4 indexed citations
5.
Pellicer-Valero, Óscar J., Isabella Cattinelli, Luca Neri, et al.. (2020). Enhanced prediction of hemoglobin concentration in a very large cohort of hemodialysis patients by means of deep recurrent neural networks. Artificial Intelligence in Medicine. 107. 101898–101898. 14 indexed citations
6.
7.
Barbieri, C., et al.. (2018). El modelo de control de anemia: ¿ayuda al nefrólogo en la decisión terapéutica para el manejo de la anemia?. Nefrología. 38(5). 491–502. 15 indexed citations
8.
Barbieri, C., et al.. (2018). The anaemia control model: Does it help nephrologists in therapeutic decision-making in the management of anaemia?. Nefrología (English Edition). 38(5). 491–502. 9 indexed citations
9.
Barbieri, C., Manuel Molina, Pedro Ponce, et al.. (2016). An international observational study suggests that artificial intelligence for clinical decision support optimizes anemia management in hemodialysis patients. Kidney International. 90(2). 422–429. 93 indexed citations
10.
Brancaccio, Diego, Luca Neri, Francesco Bellocchio, et al.. (2016). Patients' Characteristics Affect the Survival Benefit of Warfarin Treatment for Hemodialysis Patients with Atrial Fibrillation. A Historical Cohort Study. American Journal of Nephrology. 44(4). 258–267. 18 indexed citations
11.
Barbieri, C., Elena Bolzoni, Flavio Mari, et al.. (2016). Performance of a Predictive Model for Long-Term Hemoglobin Response to Darbepoetin and Iron Administration in a Large Cohort of Hemodialysis Patients. PLoS ONE. 11(3). e0148938–e0148938. 21 indexed citations
12.
Rodríguez, Mariano, et al.. (2016). A New Data Analysis System to Quantify Associations between Biochemical Parameters of Chronic Kidney Disease-Mineral Bone Disease. PLoS ONE. 11(1). e0146801–e0146801. 24 indexed citations
13.
Brancaccio, Diego, Luca Neri, Francesco Bellocchio, et al.. (2016). Atrial Fibrillation in Dialysis Patients: Time to Abandon Warfarin?. The International Journal of Artificial Organs. 39(3). 99–105. 6 indexed citations
14.
Barbieri, C., Flavio Mari, Andrea Stopper, et al.. (2015). A new machine learning approach for predicting the response to anemia treatment in a large cohort of End Stage Renal Disease patients undergoing dialysis. Computers in Biology and Medicine. 61. 56–61. 59 indexed citations
15.
Canaud, Bernard, C. Barbieri, Daniele Marcelli, et al.. (2015). Optimal convection volume for improving patient outcomes in an international incident dialysis cohort treated with online hemodiafiltration. Kidney International. 88(5). 1108–1116. 75 indexed citations
16.
Martínez-Martínez, José M., Pablo Escandell-Montero, C. Barbieri, et al.. (2014). Prediction of the hemoglobin level in hemodialysis patients using machine learning techniques. Computer Methods and Programs in Biomedicine. 117(2). 208–217. 32 indexed citations
17.
Cattinelli, Isabella, Elena Bolzoni, Francesco Bellocchio, et al.. (2013). Computational intelligence for the Balanced Scorecard: Studying performance trends of hemodialysis clinics. Artificial Intelligence in Medicine. 58(3). 165–173. 2 indexed citations
18.
Ferrario, Manuela, S. Cerutti, C. Barbieri, et al.. (2013). Artificial intelligence models to stratify cardiovascular risk in incident hemodialysis patients. Expert Systems with Applications. 40(11). 4679–4686. 24 indexed citations
19.
Martín‐Guerrero, José D., Daniele Marcelli, Emilio Soria‐Olivas, et al.. (2012). Self-Organising Maps: A new way to screen the level of satisfaction of dialysis patients. Expert Systems with Applications. 39(10). 8793–8798. 14 indexed citations
20.
Cattinelli, Isabella, Elena Bolzoni, C. Barbieri, et al.. (2011). Use of Self-Organizing Maps for Balanced Scorecard analysis to monitor the performance of dialysis clinic chains. Health Care Management Science. 15(1). 79–90. 17 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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