Marco Recenti

514 total citations
25 papers, 356 citations indexed

About

Marco Recenti is a scholar working on Biomedical Engineering, Surgery and Physiology. According to data from OpenAlex, Marco Recenti has authored 25 papers receiving a total of 356 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Biomedical Engineering, 6 papers in Surgery and 6 papers in Physiology. Recurrent topics in Marco Recenti's work include Body Composition Measurement Techniques (6 papers), Total Knee Arthroplasty Outcomes (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Marco Recenti is often cited by papers focused on Body Composition Measurement Techniques (6 papers), Total Knee Arthroplasty Outcomes (5 papers) and Radiomics and Machine Learning in Medical Imaging (4 papers). Marco Recenti collaborates with scholars based in Iceland, Italy and South Korea. Marco Recenti's co-authors include Paolo Gargiulo, Carlo Ricciardi, Kyle J. Edmunds, Magnús Kjartan Gíslason, Ugo Carraro, Sigurður Sigurdsson, Hannes Petersen, Halldór Jónsson, Vilmundur Guðnason and Luca Esposito and has published in prestigious journals such as Scientific Reports, Gait & Posture and Frontiers in Human Neuroscience.

In The Last Decade

Marco Recenti

21 papers receiving 354 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marco Recenti Iceland 10 102 72 50 50 35 25 356
Aurelian Anghelescu Romania 10 51 0.5× 52 0.7× 14 0.3× 15 0.3× 37 1.1× 43 485
George Gioftsos Greece 13 80 0.8× 212 2.9× 13 0.3× 19 0.4× 16 0.5× 44 587
Jialing Wu China 15 51 0.5× 32 0.4× 14 0.3× 26 0.5× 16 0.5× 57 467
Grant Mawston New Zealand 12 108 1.1× 55 0.8× 14 0.3× 16 0.3× 8 0.2× 30 350
Chul Ho Yoon South Korea 10 104 1.0× 93 1.3× 11 0.2× 21 0.4× 11 0.3× 30 421
Momoko Yamagata Japan 13 197 1.9× 95 1.3× 60 1.2× 9 0.2× 17 0.5× 42 408
Dawid Bączkowicz Poland 13 173 1.7× 105 1.5× 123 2.5× 37 0.7× 14 0.4× 31 457
Maria José Rosas Portugal 15 57 0.6× 30 0.4× 27 0.5× 12 0.2× 6 0.2× 42 768
Cristina Daia Romania 9 58 0.6× 51 0.7× 10 0.2× 13 0.3× 38 1.1× 33 392
Antonio Pinti France 10 122 1.2× 59 0.8× 20 0.4× 8 0.2× 6 0.2× 56 390

Countries citing papers authored by Marco Recenti

Since Specialization
Citations

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

Fields of papers citing papers by Marco Recenti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Recenti

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Recenti. A scholar is included among the top collaborators of Marco Recenti 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 Marco Recenti. Marco Recenti 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.
Gargiulo, Paolo, et al.. (2025). Feature Selection in Healthcare Datasets: Towards a Generalizable Solution. Computers in Biology and Medicine. 196(Pt B). 110812–110812. 1 indexed citations
2.
Recenti, Marco, Carlo Ricciardi, Alfonso Maria Ponsiglione, et al.. (2024). Unveiling CT-Scan Radiodensity Leg Asymmetry Impact on Common Aging Comorbidities. 1028–1033.
3.
Recenti, Marco, Carlo Ricciardi, Alfonso Maria Ponsiglione, et al.. (2024). New Paradigm in Postural Control Response: A Dual Approach Using Center of Pressure and Electroencephalography. 1–6.
4.
Edmunds, Kyle J., et al.. (2024). Changes in EEG Spectral Power Elicited During Visual and Motor Stimuli with the BioVRSea Paradigm. 417–422. 1 indexed citations
5.
Recenti, Marco, et al.. (2024). New Frontiers in Postural Control and Motion Sickness Assessment: The BioVRSea Paradigm. 1034–1039. 1 indexed citations
6.
7.
Ricciardi, Carlo, Alfonso Maria Ponsiglione, Marco Recenti, et al.. (2023). Development of soft tissue asymmetry indicators to characterize aging and functional mobility. Frontiers in Bioengineering and Biotechnology. 11. 1282024–1282024. 1 indexed citations
8.
Recenti, Marco, Paolo Gargiulo, Milan Chang, et al.. (2023). Predicting stroke, neurological and movement disorders using single and dual-task gait in Korean older population. Gait & Posture. 105. 92–98. 3 indexed citations
9.
Cesarelli, Giuseppe, et al.. (2022). The role of bone mineral density and cartilage volume to predict knee cartilage degeneration. European Journal of Translational Myology. 32(2). 11 indexed citations
10.
Recenti, Marco, Yonatan A. Tesfahunegn, Anna Sigríður Íslind, et al.. (2022). CT- and MRI-Based 3D Reconstruction of Knee Joint to Assess Cartilage and Bone. Diagnostics. 12(2). 279–279. 35 indexed citations
11.
Recenti, Marco, et al.. (2022). Toward New Assessment of Knee Cartilage Degeneration. Cartilage. 14(3). 351–374. 16 indexed citations
12.
Hassan, Mahmoud, et al.. (2022). Predicting postural control adaptation measuring EEG, EMG, and center of pressure changes: BioVRSea paradigm. Frontiers in Human Neuroscience. 16. 1038976–1038976. 6 indexed citations
13.
Recenti, Marco, Leandro Donisi, Carlo Ricciardi, et al.. (2022). Towards defining biomarkers to evaluate concussions using virtual reality and a moving platform (BioVRSea). Scientific Reports. 12(1). 8996–8996. 32 indexed citations
14.
Recenti, Marco, et al.. (2022). Predicting lifestyle using BioVRSea multi-biometric paradigms. 329–334. 4 indexed citations
15.
Recenti, Marco, et al.. (2021). Testing soft tissue radiodensity parameters interplay with age and self-reported physical activity. European Journal of Translational Myology. 31(3). 17 indexed citations
16.
Recenti, Marco, et al.. (2021). Toward Predicting Motion Sickness Using Virtual Reality and a Moving Platform Assessing Brain, Muscles, and Heart Signals. Frontiers in Bioengineering and Biotechnology. 9. 635661–635661. 69 indexed citations
17.
Ricciardi, Carlo, Halldór Jónsson, Giovanni Improta, et al.. (2020). Improving Prosthetic Selection and Predicting BMD from Biometric Measurements in Patients Receiving Total Hip Arthroplasty. Diagnostics. 10(10). 815–815. 26 indexed citations
18.
Recenti, Marco, Carlo Ricciardi, Kyle J. Edmunds, Magnús Kjartan Gíslason, & Paolo Gargiulo. (2020). Machine learning predictive system based upon radiodensitometric distributions from mid-thigh CT images. European Journal of Translational Myology. 30(1). 121–124. 37 indexed citations
19.
Ricciardi, Carlo, Kyle J. Edmunds, Marco Recenti, et al.. (2020). Assessing cardiovascular risks from a mid-thigh CT image: a tree-based machine learning approach using radiodensitometric distributions. Scientific Reports. 10(1). 2863–2863. 48 indexed citations
20.
Recenti, Marco, Carlo Ricciardi, Kyle J. Edmunds, et al.. (2020). Healthy Aging Within an Image: Using Muscle Radiodensitometry and Lifestyle Factors to Predict Diabetes and Hypertension. IEEE Journal of Biomedical and Health Informatics. 25(6). 2103–2112. 27 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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