Michele Colombo

440 total citations
16 papers, 293 citations indexed

About

Michele Colombo is a scholar working on Surgery, Pulmonary and Respiratory Medicine and Artificial Intelligence. According to data from OpenAlex, Michele Colombo has authored 16 papers receiving a total of 293 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Surgery, 6 papers in Pulmonary and Respiratory Medicine and 3 papers in Artificial Intelligence. Recurrent topics in Michele Colombo's work include Machine Learning and ELM (3 papers), Vascular Procedures and Complications (2 papers) and Hip and Femur Fractures (2 papers). Michele Colombo is often cited by papers focused on Machine Learning and ELM (3 papers), Vascular Procedures and Complications (2 papers) and Hip and Femur Fractures (2 papers). Michele Colombo collaborates with scholars based in Italy, United Kingdom and France. Michele Colombo's co-authors include Francesco De Cobelli, Massimo Venturini, Paolo Marra, Simone Gusmini, Alessandro Del Maschio, Davide Morelli, David Plans, Claudio Sallemi, Marco Salvioni and Giulia Agostini and has published in prestigious journals such as Neurocomputing, Cancers and Journal of Guidance Control and Dynamics.

In The Last Decade

Michele Colombo

16 papers receiving 293 citations

Peers

Michele Colombo

SURGE

PRM

HEPAT

PHYSI

Arunnit Boonrod Thailand

Petro Kostandy United States

Wadim Wojciechowski Poland

Oly Campos Corleta Brazil

Takahiro Nakao Japan

Giovanni Puppini Italy

Satoshi Obata Japan

Ahmed M. Mahmoud Egypt

Saba Elias United States

Arunnit Boonrod Thailand

Michele Colombo

89 ×0.7

SURGE

48 ×0.4

PRM

67 ×1.6

10 ×0.2

HEPAT

8 ×0.3

PHYSI

Citations per year, relative to Michele Colombo Michele Colombo (= 1×) peers Arunnit Boonrod

Countries citing papers authored by Michele Colombo

Since Specialization

Citations

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

Fields of papers citing papers by Michele Colombo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michele Colombo

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

All Works

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16 of 16 papers shown

Galli, Andrea, Michele Colombo, Giulia Carrara, et al.. (2022). Skeletal Muscle Depletion and Major Postoperative Complications in Locally-Advanced Head and Neck Cancer: A Comparison between Ultrasound of Rectus Femoris Muscle and Neck Cross-Sectional Imaging. Cancers. 14(2). 347–347. 15 indexed citations

Morelli, Davide, et al.. (2021). Development of Digitally Obtainable 10-Year Risk Scores for Depression and Anxiety in the General Population. Frontiers in Psychiatry. 12. 689026–689026. 1 indexed citations

Massioni, Paolo, et al.. (2021). Robust Gust Load Alleviation of Flexible Aircraft Equipped with Lidar. Journal of Guidance Control and Dynamics. 45(1). 58–72. 25 indexed citations

Galli, Andrea, Michele Colombo, Giulia Carrara, et al.. (2020). Low skeletal muscle mass as predictor of postoperative complications and decreased overall survival in locally advanced head and neck squamous cell carcinoma: the role of ultrasound of rectus femoris muscle. European Archives of Oto-Rhino-Laryngology. 277(12). 3489–3502. 21 indexed citations

Carretta, Angelo, Piergiorgio Muriana, Paola Ciriaco, et al.. (2020). Correlation of Computed Tomography Parameters with Histology, Stage and Prognosis in Surgically Treated Thymomas. Medicina. 57(1). 10–10. 2 indexed citations

Cobelli, Francesco De, Maurizio Papa, Marta Panzeri, et al.. (2019). Percutaneous Microwave Ablation Versus Cryoablation in the Treatment of T1a Renal Tumors. CardioVascular and Interventional Radiology. 43(1). 76–83. 31 indexed citations

Bacciu, Davide, Michele Colombo, Davide Morelli, & David Plans. (2018). Randomized neural networks for preference learning with physiological data. Neurocomputing. 298. 9–20. 10 indexed citations

Bacciu, Davide, Michele Colombo, Davide Morelli, & David Plans. (2017). ELM Preference Learning for Physiological Data. The European Symposium on Artificial Neural Networks. 99–104. 2 indexed citations

Cobelli, Francesco De, Paolo Marra, Francesca Ratti, et al.. (2017). Microwave ablation of liver malignancies: comparison of effects and early outcomes of percutaneous and intraoperative approaches with different liver conditions. Medical Oncology. 34(4). 49–49. 43 indexed citations

10.

Venturini, Massimo, Paolo Marra, Michele Colombo, et al.. (2017). Endovascular Repair of 40 Visceral Artery Aneurysms and Pseudoaneurysms with the Viabahn Stent-Graft: Technical Aspects, Clinical Outcome and Mid-Term Patency. CardioVascular and Interventional Radiology. 41(3). 385–397. 60 indexed citations

11.

Bacciu, Davide, Michele Colombo, Davide Morelli, & David Plans. (2017). ELM Preference Learning for Physiological Data. Proceedings of the European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning. (ESANN'17). Surrey Research Insight Open Access (The University of Surrey). 1 indexed citations

12.

Morelli, Davide, et al.. (2017). Profiling the propagation of error from PPG to HRV features in a wearable physiological‐monitoring device. Healthcare Technology Letters. 5(2). 59–64. 32 indexed citations

13.

Venturini, Massimo, Paolo Marra, Michele Colombo, et al.. (2017). Endovascular Treatment of Visceral Artery Aneurysms and Pseudoaneurysms in 100 Patients: Covered Stenting vs Transcatheter Embolization. Journal of Endovascular Therapy. 24(5). 709–717. 44 indexed citations

14.

Venturini, Massimo, Marcello Orsi, Michele Colombo, et al.. (2013). Drug-eluting Stent Patency at 6 Months in the Pedal Artery of a Patient with Polyarteritis Nodosa: A Case Report. Journal of Vascular and Interventional Radiology. 24(6). 907–910. 1 indexed citations

15.

Venturini, Massimo, Massimo Zambon, Giulia Cristel, et al.. (2013). Monitoring of central retinal artery and vein with color doppler ultrasound during heart surgery as an alternative to transcranial doppler ultrasonography: A case report. Journal of Clinical Ultrasound. 42(2). 112–115. 3 indexed citations

16.

Venturini, Massimo, Giuseppe Querques, Giulia Agostini, et al.. (2013). Renal artery stenosis due to fibromuscular dysplasia in a transplanted kidney from a deceased donor: A difficult diagnosis at color doppler ultrasonography. Journal of Clinical Ultrasound. 42(2). 116–120. 2 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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