Mirco Rossi
- Computer Vision and Pattern Recognition top 2%
- Artificial Intelligence top 5%
- Computer Networks and Communications top 5%
- Biomedical Engineering
- Signal Processing top 5%
- Co-authors
- Gerhard TrösterDaniel RoggenThomas HolleczekPaul LukowiczRicardo ChavarriagaAlberto CalatroniDavid BannachGerald Pirkl
- Topics
- Speech and Audio Processing (6 papers)Context-Aware Activity Recognition Systems (5 papers)Music and Audio Processing (4 papers)
- Journals
- International Journal of Intelligent SystemsEURASIP Journal on Wireless Communications and NetworkingPervasive and Mobile Computing
- Partner nations
- SwitzerlandNetherlandsItaly
In The Last Decade
Mirco Rossi
17 papers receiving 735 citations
Hit Papers
Peers
Comparison fields: 5 of 71
- Computer Vision and Pattern Recognition 535
- Artificial Intelligence 237
- Computer Networks and Communications 210
- Biomedical Engineering 163
- Signal Processing 149
Countries citing papers authored by Mirco Rossi
This map shows the geographic impact of Mirco Rossi'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 Mirco Rossi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mirco Rossi more than expected).
Fields of papers citing papers by Mirco Rossi
This network shows the impact of papers produced by Mirco Rossi. 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 Mirco Rossi. The network helps show where Mirco Rossi may publish in the future.
Co-authorship network of co-authors of Mirco Rossi
This figure shows the co-authorship network connecting the top 25 collaborators of Mirco Rossi. A scholar is included among the top collaborators of Mirco Rossi 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 Mirco Rossi. Mirco Rossi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 7 | |
| 3 | 40 | |
| 4 | 5 | |
| 5 | 1 | |
| 6 | 40 | |
| 7 | 10 | |
| 8 | 7 | |
| 9 | 15 | |
| 10 | 2 | |
| 11 | 50 | |
| 12 | 4 | |
| 13 | 5 | |
| 14 | Recording a complex, multi modal activity data set for context recogntion | 23 |
| 15 | Collecting complex activity datasets in highly rich networked sensor environmentsbreakdown → | 524 |
| 16 | Solving disagreements in a multi-agent system performing Situation Assessment | 3 |
| 17 | 3 |
About Mirco Rossi
Mirco Rossi is a scholar working on Signal Processing, Human-Computer Interaction and Computer Vision and Pattern Recognition, having authored 17 papers that have together received 766 indexed citations. Recurring topics across this work include Speech and Audio Processing (6 papers), Context-Aware Activity Recognition Systems (5 papers) and Music and Audio Processing (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (535 citations), Signal Processing (149 citations) and Human-Computer Interaction (52 citations). Mirco Rossi has collaborated with scholars based in Switzerland, Netherlands and Italy. Frequent co-authors include Gerhard Tröster, Daniel Roggen, Thomas Holleczek, Paul Lukowicz, Ricardo Chavarriaga, Alberto Calatroni, David Bannach, Gerald Pirkl, Alois Ferscha and Oliver Amft. Their work appears in journals such as International Journal of Intelligent Systems, EURASIP Journal on Wireless Communications and Networking and Pervasive and Mobile Computing.
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.