Daniele Bibbo

977 total citations
52 papers, 690 citations indexed

About

Daniele Bibbo is a scholar working on Biomedical Engineering, Orthopedics and Sports Medicine and Social Psychology. According to data from OpenAlex, Daniele Bibbo has authored 52 papers receiving a total of 690 indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Biomedical Engineering, 14 papers in Orthopedics and Sports Medicine and 10 papers in Social Psychology. Recurrent topics in Daniele Bibbo's work include Muscle activation and electromyography studies (18 papers), Sports Performance and Training (10 papers) and Balance, Gait, and Falls Prevention (9 papers). Daniele Bibbo is often cited by papers focused on Muscle activation and electromyography studies (18 papers), Sports Performance and Training (10 papers) and Balance, Gait, and Falls Prevention (9 papers). Daniele Bibbo collaborates with scholars based in Italy, Czechia and United States. Daniele Bibbo's co-authors include Silvia Conforto, Maurizio Schmid, Ivan Bernabucci, Tommaso D’Alessio, Antonino Proto, Cristiano De Marchis, Benish Fida, Anna Margherita Castronovo, Marek Penhaker and Marco Carli and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Sensors.

In The Last Decade

Daniele Bibbo

50 papers receiving 671 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniele Bibbo Italy 15 357 135 129 129 118 52 690
Yoshifumi Morita Japan 14 190 0.5× 72 0.5× 119 0.9× 118 0.9× 101 0.9× 179 804
Joung Hwan Mun South Korea 19 628 1.8× 241 1.8× 64 0.5× 244 1.9× 76 0.6× 71 1.1k
Yasuyuki Suzuki Japan 18 335 0.9× 136 1.0× 245 1.9× 386 3.0× 46 0.4× 64 1.2k
Kap-Ho Seo South Korea 12 240 0.7× 23 0.2× 34 0.3× 72 0.6× 42 0.4× 80 551
Chikamune Wada Japan 10 238 0.7× 17 0.1× 97 0.8× 50 0.4× 85 0.7× 97 510
Min K. Chung South Korea 19 277 0.8× 206 1.5× 402 3.1× 46 0.4× 71 0.6× 65 1.4k
Emre Yılmaz Türkiye 23 873 2.4× 32 0.2× 204 1.6× 144 1.1× 48 0.4× 48 1.6k
F. Lorussi Italy 19 1.2k 3.3× 27 0.2× 301 2.3× 85 0.7× 226 1.9× 57 1.6k
Danilo Pani Italy 20 672 1.9× 22 0.2× 270 2.1× 82 0.6× 290 2.5× 109 1.5k
Jingfeng He China 16 516 1.4× 131 1.0× 274 2.1× 106 0.8× 18 0.2× 51 955

Countries citing papers authored by Daniele Bibbo

Since Specialization
Citations

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

Fields of papers citing papers by Daniele Bibbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniele Bibbo

This figure shows the co-authorship network connecting the top 25 collaborators of Daniele Bibbo. A scholar is included among the top collaborators of Daniele Bibbo 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 Daniele Bibbo. Daniele Bibbo 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.
Bibbo, Daniele, et al.. (2024). The Impact of Human-Robot Collaboration Levels on Postural Stability During Working Tasks Performed While Standing: Experimental Study. JMIR Human Factors. 12. e64892–e64892. 2 indexed citations
2.
Ajoudani, Arash, et al.. (2023). Assessing biomechanical risks in human-robot collaboration: Analysis of muscle activity with different intervention conditions. Gait & Posture. 105. S18–S19. 1 indexed citations
3.
Vávra, P, et al.. (2023). Present results and methods of vectorcardiographic diagnostics of ischemic heart disease. Computers in Biology and Medicine. 169. 107781–107781. 3 indexed citations
4.
Bibbo, Daniele, et al.. (2023). Modalities of sequential human robot collaboration trigger different modifications of trunk oscillations. Frontiers in Neurorobotics. 17. 1183164–1183164. 2 indexed citations
5.
Bibbo, Daniele, et al.. (2023). Machine learning to detect, stage and classify diseases and their symptoms based on inertial sensor data: a mapping review. Physiological Measurement. 44(12). 12TR01–12TR01. 3 indexed citations
6.
Bibbo, Daniele, et al.. (2022). A Data-Based System for the Optimization of Emergency Medical Services Allocation in Rural Countries. Iris (Roma Tre University). 1–4.
7.
Bibbo, Daniele, et al.. (2022). A Novel Physiological-Based System to Assess Drivers’ Stress during Earth Moving Simulated Activities. Electronics. 11(24). 4074–4074. 1 indexed citations
8.
Gallina, Barbara, et al.. (2020). A Physiology-based Driver Readiness Estimation Model for Tuning ISO 26262 Controllability. Iris (Roma Tre University). 1–5. 5 indexed citations
9.
Bibbo, Daniele, Stefano Gabriele, Andrea Scorza, et al.. (2019). A Novel Technique to Design and Optimize Performances of Custom Load Cells for Sport Gesture Analysis. IRBM. 40(4). 201–210. 4 indexed citations
10.
Bibbo, Daniele, Silvia Conforto, Antonino Laudani, & Gabriele Maria Lozito. (2017). Solar energy harvest on bicycle helmet for smart wearable sensors. Florence Research (University of Florence). 1–6. 6 indexed citations
12.
Bernabucci, Ivan, Daniele Bibbo, Silvia Conforto, et al.. (2016). Measuring regularity of fine upper limb movements with a haptic platform for motor learning and rehabilitation. Iris (Roma Tre University). 46(1). 5–12. 2 indexed citations
13.
Proto, Antonino, Benish Fida, Ivan Bernabucci, et al.. (2016). Wearable PVDF transducer for biomechanical energy harvesting and gait cycle detection. Institutional Research Information System University of Ferrara (University of Ferrara). 62–66. 18 indexed citations
14.
Schmid, Maurizio, et al.. (2015). The Effect of Continuous and Discretized Presentations of Concurrent Augmented Visual Biofeedback on Postural Control in Quiet Stance. PLoS ONE. 10(7). e0132711–e0132711. 11 indexed citations
15.
Fida, Benish, Daniele Bibbo, Ivan Bernabucci, et al.. (2015). Real time event-based segmentation to classify locomotion activities through a single inertial sensor. SHILAP Revista de lepidopterología. 13 indexed citations
16.
Marchis, Cristiano De, Anna Margherita Castronovo, Daniele Bibbo, Maurizio Schmid, & Silvia Conforto. (2012). Muscle synergies are consistent when pedaling under different biomechanical demands. PubMed. 401. 3308–3311. 20 indexed citations
17.
Castronovo, Anna Margherita, Cristiano De Marchis, Daniele Bibbo, et al.. (2012). Neuromuscular adaptations during submaximal prolonged cycling. PubMed. 9. 3612–3615. 12 indexed citations
18.
Bibbo, Daniele, et al.. (2010). Employing wiki as a collaborative information repository in a media and entertainment company: The NBC universal case. International Conference on Information Systems. 244. 6 indexed citations
19.
Schmid, Maurizio, Daniele Bibbo, Silvia Conforto, & Tommaso D’Alessio. (2009). A reverse engineering schema to monitor 3-D control of upper limbs while playing the Wii. Gait & Posture. 30. S69–S70. 2 indexed citations
20.
Schmid, Maurizio, Silvia Conforto, Daniele Bibbo, & Tommaso D’Alessio. (2004). Respiration and postural sway: detection of phase synchronizations and interactions. Human Movement Science. 23(2). 105–119. 49 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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