Lorenzo Palma
- Computer Vision and Pattern Recognition top 2%
- Biomedical Engineering top 10%
- Computer Networks and Communications top 5%
- Electrical and Electronic Engineering
- Artificial Intelligence top 10%
- Co-authors
- Paola PierleoniAlberto BelliLuca PerniniSimone ValentiMarco PellegriniSeyed Amir Hassan HabibiLaura BurattiniMicaela Morettini
- Topics
- Non-Invasive Vital Sign Monitoring (15 papers)Context-Aware Activity Recognition Systems (14 papers)IoT and Edge/Fog Computing (10 papers)
- Cited by
- Physical Therapy, Sports Therapy and RehabilitationComputer Vision and Pattern RecognitionComputer Networks and Communications
- Journals
- SHILAP Revista de lepidopterologíaIEEE AccessSensors
- Partner nations
- ItalyUnited StatesIran
In The Last Decade
Lorenzo Palma
68 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 385
- Biomedical Engineering 364
- Computer Networks and Communications 239
- Electrical and Electronic Engineering 177
- Artificial Intelligence 151
Countries citing papers authored by Lorenzo Palma
This map shows the geographic impact of Lorenzo Palma'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 Lorenzo Palma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lorenzo Palma more than expected).
Fields of papers citing papers by Lorenzo Palma
This network shows the impact of papers produced by Lorenzo Palma. 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 Lorenzo Palma. The network helps show where Lorenzo Palma may publish in the future.
Co-authorship network of co-authors of Lorenzo Palma
This figure shows the co-authorship network connecting the top 25 collaborators of Lorenzo Palma. A scholar is included among the top collaborators of Lorenzo Palma 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 Lorenzo Palma. Lorenzo Palma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 7 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 6 | |
| 6 | 14 | |
| 7 | 3 | |
| 8 | 6 | |
| 9 | 5 | |
| 10 | 5 | |
| 11 | 6 | |
| 12 | 4 | |
| 13 | 26 | |
| 14 | 4 | |
| 15 | 21 | |
| 16 | 5 | |
| 17 | 85 | |
| 18 | Performance evaluation of a Pedestrian Navigation System based on an objective experimental method | 1 |
| 19 | 23 | |
| 20 | 8 |
About Lorenzo Palma
Lorenzo Palma is a scholar working on Physical Therapy, Sports Therapy and Rehabilitation, Computer Vision and Pattern Recognition and Computer Networks and Communications, having authored 75 papers that have together received 1.2k indexed citations. Recurring topics across this work include Non-Invasive Vital Sign Monitoring (15 papers), Context-Aware Activity Recognition Systems (14 papers) and IoT and Edge/Fog Computing (10 papers). The work is most often cited by research in Physical Therapy, Sports Therapy and Rehabilitation (95 citations), Computer Vision and Pattern Recognition (385 citations) and Computer Networks and Communications (239 citations). Lorenzo Palma has collaborated with scholars based in Italy, United States and Iran. Frequent co-authors include Paola Pierleoni, Alberto Belli, Luca Pernini, Simone Valenti, Marco Pellegrini, Seyed Amir Hassan Habibi, Laura Burattini, Micaela Morettini, Simone Marzorati and Javad Frounchi. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Access and Sensors.
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.