Martina Zaltieri
- Biomedical Engineering top 10%
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Cardiology and Cardiovascular Medicine
- Social Psychology
- Co-authors
- Emiliano SchenaCarlo MassaroniDaniela Lo PrestiLuca MassariCalogero Maria OddoM. CaponeroJessica D’AbbraccioJoshua Di Tocco
- Topics
- Advanced Fiber Optic Sensors (10 papers)Non-Invasive Vital Sign Monitoring (8 papers)Advanced Sensor and Energy Harvesting Materials (8 papers)
- Journals
- IEEE Transactions on Biomedical EngineeringSensorsInternational Journal of Environmental Research and Public Health
- Partner nations
- ItalyUnited StatesPoland
In The Last Decade
Martina Zaltieri
26 papers receiving 610 citations
Peers
Comparison fields: 5 of 80
- Biomedical Engineering 426
- Electrical and Electronic Engineering 266
- Cognitive Neuroscience 106
- Cardiology and Cardiovascular Medicine 49
- Social Psychology 42
Countries citing papers authored by Martina Zaltieri
This map shows the geographic impact of Martina Zaltieri'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 Martina Zaltieri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Martina Zaltieri more than expected).
Fields of papers citing papers by Martina Zaltieri
This network shows the impact of papers produced by Martina Zaltieri. 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 Martina Zaltieri. The network helps show where Martina Zaltieri may publish in the future.
Co-authorship network of co-authors of Martina Zaltieri
This figure shows the co-authorship network connecting the top 25 collaborators of Martina Zaltieri. A scholar is included among the top collaborators of Martina Zaltieri 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 Martina Zaltieri. Martina Zaltieri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 6 | |
| 3 | 2 | |
| 4 | 14 | |
| 5 | 124 | |
| 6 | 6 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 6 | |
| 10 | 5 | |
| 11 | 24 | |
| 12 | 49 | |
| 13 | 52 | |
| 14 | 94 | |
| 15 | 75 | |
| 16 | 31 | |
| 17 | 6 | |
| 18 | 10 | |
| 19 | 4 | |
| 20 | 28 |
About Martina Zaltieri
Martina Zaltieri is a scholar working on Biomedical Engineering, Metals and Alloys and Rehabilitation, having authored 26 papers that have together received 622 indexed citations. Recurring topics across this work include Advanced Fiber Optic Sensors (10 papers), Non-Invasive Vital Sign Monitoring (8 papers) and Advanced Sensor and Energy Harvesting Materials (8 papers). The work is most often cited by research in Biomedical Engineering (426 citations), Cognitive Neuroscience (106 citations) and Human-Computer Interaction (30 citations). Martina Zaltieri has collaborated with scholars based in Italy, United States and Poland. Frequent co-authors include Emiliano Schena, Carlo Massaroni, Daniela Lo Presti, Luca Massari, Calogero Maria Oddo, M. Caponero, Jessica D’Abbraccio, Joshua Di Tocco, Marco Bravi and Silvia Sterzi. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Sensors and International Journal of Environmental Research and Public Health.
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.