Marco Parvis
Impact in
- Conservation top 0.5%
- Conservation Techniques and Studies
- Media Technology top 2%
- Experimental Learning in Engineering
Papers in
-
- Gas Sensing Nanomaterials and Sensors 15
-
- Advanced Chemical Sensor Technologies 18
- Co-authors
- Alessio Carullo (37 shared papers)Sabrina Grassini (87 shared papers)Franco Ferraris (29 shared papers)Emma Paola Maria Virginia Angelini (63 shared papers)Alberto Vallan (43 shared papers)Simone Corbellini (37 shared papers)M. Bertocco (11 shared papers)Luca Lombardo (33 shared papers)
- Journals
- IEEE Transactions on Instrumentation and Measurement (31 papers)Measurement (13 papers)Applied Physics A (5 papers)Sensors (4 papers)Journal of Neural Engineering (2 papers)
- Partner nations
- ItalyUnited KingdomFrance
In The Last Decade
Marco Parvis
176 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 153
- Conservation 144
- Media Technology 234
- Bioengineering 148
- Computer Networks and Communications 400
- Physical Therapy, Sports Therapy and Rehabilitation 64
Countries citing papers authored by Marco Parvis
This map shows the geographic impact of Marco Parvis'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 Parvis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marco Parvis more than expected).
Fields of papers citing papers by Marco Parvis
This network shows the impact of papers produced by Marco Parvis. 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 Parvis. The network helps show where Marco Parvis may publish in the future.
Co-authors
The 25 scholars most cited alongside Marco Parvis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 190 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2001 | 256 | |
| 2 | Procedure for effortless in-field calibration of three-axial rate gyro and accelerometers | 1995 | 146 |
| 3 | 2000 | 117 | |
| 4 | 2008 | 86 | |
| 5 | 2017 | 77 | |
| 6 | 2009 | 74 | |
| 7 | 2022 | 69 | |
| 8 | 2006 | 66 | |
| 9 | 1998 | 66 | |
| 10 | 1996 | 51 | |
| 11 | 2016 | 45 | |
| 12 | 2006 | 45 | |
| 13 | 2000 | 44 | |
| 14 | 2014 | 40 | |
| 15 | 2019 | 33 | |
| 16 | 2011 | 31 | |
| 17 | 2002 | 31 | |
| 18 | 2017 | 28 | |
| 19 | 2014 | 24 | |
| 20 | 2020 | 22 |
About Marco Parvis
Marco Parvis is a scholar working on Electrical and Electronic Engineering, Biomedical Engineering, Computer Networks and Communications, Conservation and Mechanical Engineering, having authored 190 papers that have together received 2.3k indexed citations. Recurring topics across this work include Sensor Technology and Measurement Systems (26 papers), Conservation Techniques and Studies (24 papers), Corrosion Behavior and Inhibition (19 papers), Experimental Learning in Engineering (18 papers), Advanced Chemical Sensor Technologies (18 papers), EEG and Brain-Computer Interfaces (17 papers), Analytical Chemistry and Sensors (17 papers) and Gas Sensing Nanomaterials and Sensors (15 papers). The work is most often cited by research in Conservation (144 citations), Media Technology (234 citations), Bioengineering (148 citations), Computer Networks and Communications (400 citations) and Physical Therapy, Sports Therapy and Rehabilitation (64 citations). Marco Parvis has collaborated with scholars based in Italy, United Kingdom and France. Frequent co-authors include Alessio Carullo, Sabrina Grassini, Franco Ferraris, Emma Paola Maria Virginia Angelini, Alberto Vallan, Simone Corbellini, M. Bertocco, Luca Lombardo, C. Offelli and Pasquale Arpaïa. Their work appears in journals such as IEEE Transactions on Instrumentation and Measurement, Measurement, Applied Physics A, Sensors and Journal of Neural Engineering.
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.