Luca Lonini

1.3k total citations
24 papers, 749 citations indexed

About

Luca Lonini is a scholar working on Biomedical Engineering, Computer Vision and Pattern Recognition and Cognitive Neuroscience. According to data from OpenAlex, Luca Lonini has authored 24 papers receiving a total of 749 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Biomedical Engineering, 7 papers in Computer Vision and Pattern Recognition and 6 papers in Cognitive Neuroscience. Recurrent topics in Luca Lonini's work include Muscle activation and electromyography studies (5 papers), Context-Aware Activity Recognition Systems (5 papers) and Stroke Rehabilitation and Recovery (4 papers). Luca Lonini is often cited by papers focused on Muscle activation and electromyography studies (5 papers), Context-Aware Activity Recognition Systems (5 papers) and Stroke Rehabilitation and Recovery (4 papers). Luca Lonini collaborates with scholars based in United States, Germany and Italy. Luca Lonini's co-authors include Arun Jayaraman, Konrad P. Körding, David C. Mohr, Sohrab Saeb, Nicholas Shawen, John A. Rogers, Tanya Simuni, Roozbeh Ghaffari, Cynthia Poon and Margaret Daeschler and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Neural Computation.

In The Last Decade

Luca Lonini

23 papers receiving 730 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luca Lonini United States 14 307 172 146 101 92 24 749
Erika Rovini Italy 15 349 1.1× 180 1.0× 490 3.4× 77 0.8× 158 1.7× 55 1.1k
Milica Djurić-Jovičić Serbia 17 332 1.1× 260 1.5× 276 1.9× 62 0.6× 196 2.1× 37 914
A. Yu. Meigal Russia 13 299 1.0× 112 0.7× 257 1.8× 43 0.4× 58 0.6× 83 733
Nicholas Shawen United States 9 216 0.7× 71 0.4× 131 0.9× 60 0.6× 68 0.7× 12 470
Mark B. Shapiro United States 12 242 0.8× 354 2.1× 262 1.8× 57 0.6× 176 1.9× 23 794
Alessandro Zampogna Italy 18 251 0.8× 165 1.0× 461 3.2× 30 0.3× 244 2.7× 46 849
Jean‐François Daneault United States 17 216 0.7× 157 0.9× 558 3.8× 62 0.6× 157 1.7× 56 1.0k
Murtadha D. Hssayeni United States 12 102 0.3× 64 0.4× 176 1.2× 81 0.8× 83 0.9× 26 460
R. Hughes United States 11 298 1.0× 75 0.4× 380 2.6× 98 1.0× 144 1.6× 24 884
Manuel E. Hernandez United States 16 226 0.7× 168 1.0× 145 1.0× 37 0.4× 366 4.0× 92 1.1k

Countries citing papers authored by Luca Lonini

Since Specialization
Citations

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

Fields of papers citing papers by Luca Lonini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Lonini

This figure shows the co-authorship network connecting the top 25 collaborators of Luca Lonini. A scholar is included among the top collaborators of Luca Lonini 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 Luca Lonini. Luca Lonini 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.
Embry, Kyle, et al.. (2024). Detecting the symptoms of Parkinson’s disease with non-standard video. Journal of NeuroEngineering and Rehabilitation. 21(1). 72–72. 4 indexed citations
2.
Stein, Michelle M., Paul Fields, Luca Lonini, et al.. (2023). 163 A multi-modal, pan-cancer atlas of tumor-immune states across primary and metastatic disease using a large, real-world database. SHILAP Revista de lepidopterología. A182–A184.
3.
Rosasco, Mario G., Chi-Sing Ho, Tianyou Luo, et al.. (2023). Abstract 4692: Comparison of interassay similarity and cellular deconvolution in spatial transcriptomics data using Visum CytAssist. Cancer Research. 83(7_Supplement). 4692–4692. 1 indexed citations
4.
Lonini, Luca, et al.. (2022). Video-Based Pose Estimation for Gait Analysis in Stroke Survivors during Clinical Assessments: A Proof-of-Concept Study. SHILAP Revista de lepidopterología. 6(1). 9–18. 55 indexed citations
5.
Lonini, Luca, Nicholas Shawen, Michael Fanton, et al.. (2021). Rapid Screening of Physiological Changes Associated With COVID-19 Using Soft-Wearables and Structured Activities: A Pilot Study. IEEE Journal of Translational Engineering in Health and Medicine. 9. 1–11. 35 indexed citations
6.
Shawen, Nicholas, Megan K. O’Brien, Luca Lonini, et al.. (2020). Role of data measurement characteristics in the accurate detection of Parkinson’s disease symptoms using wearable sensors. Journal of NeuroEngineering and Rehabilitation. 17(1). 52–52. 67 indexed citations
7.
Lonini, Luca, Nicholas Shawen, Tanya Simuni, et al.. (2018). Wearable sensors for Parkinson’s disease: which data are worth collecting for training symptom detection models. npj Digital Medicine. 1(1). 64–64. 149 indexed citations
8.
Lonini, Luca, et al.. (2018). Association of sleep with neurobehavioral impairments during inpatient rehabilitation after traumatic brain injury. Neurorehabilitation. 43(3). 319–325. 7 indexed citations
9.
Saeb, Sohrab, Luca Lonini, Arun Jayaraman, David C. Mohr, & Konrad P. Körding. (2017). The need to approximate the use-case in clinical machine learning. GigaScience. 6(5). 1–9. 192 indexed citations
10.
Shawen, Nicholas, Luca Lonini, Chaithanya K. Mummidisetty, et al.. (2017). Fall Detection in Individuals With Lower Limb Amputations Using Mobile Phones: Machine Learning Enhances Robustness for Real-World Applications. JMIR mhealth and uhealth. 5(10). e151–e151. 32 indexed citations
11.
Lonini, Luca, et al.. (2017). Sensor Fusion to Infer Locations of Standing and Reaching Within the Home in Incomplete Spinal Cord Injury. American Journal of Physical Medicine & Rehabilitation. 96(10). S128–S134. 2 indexed citations
12.
Lonini, Luca, et al.. (2017). Activity Recognition in Individuals Walking With Assistive Devices: The Benefits of Device-Specific Models. JMIR Rehabilitation and Assistive Technologies. 4(2). e8–e8. 9 indexed citations
13.
Lonini, Luca, et al.. (2017). Automatic detection of spasticity from flexible wearable sensors. 133–136. 10 indexed citations
14.
Lonini, Luca, et al.. (2016). Accelerometry-enabled measurement of walking performance with a robotic exoskeleton: a pilot study. Journal of NeuroEngineering and Rehabilitation. 13(1). 35–35. 18 indexed citations
15.
Lonini, Luca, et al.. (2016). Activity recognition in patients with lower limb impairments: Do we need training data from each patient?. PubMed. 2016. 3265–3268. 19 indexed citations
16.
Lonini, Luca, et al.. (2013). Robust active binocular vision through intrinsically motivated learning. Frontiers in Neurorobotics. 7. 20–20. 26 indexed citations
17.
Lonini, Luca, et al.. (2013). Autonomous learning of active multi-scale binocular vision. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 27. 1–6. 17 indexed citations
18.
Alessi, Alessandra, et al.. (2010). Incremental learning control of the DLR-HIT-Hand II during interaction tasks. PubMed. 14. 3194–3197. 1 indexed citations
19.
Pino, Giovanni Di, Domenico Formica, Luca Lonini, et al.. (2010). ODEs model of foreign body reaction around peripheral nerve implanted electrode. PubMed. 2010. 1543–1546. 8 indexed citations
20.
Lonini, Luca, et al.. (2007). Dispensing an enzyme-conjugated solution into an ELISA plate by adapting ink-jet printers. Journal of Biochemical and Biophysical Methods. 70(6). 1180–1184. 15 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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