Matteo Cognolato
About
In The Last Decade
Matteo Cognolato
20 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Biomedical Engineering 943
- Cognitive Neuroscience 668
- Human-Computer Interaction 437
- Cellular and Molecular Neuroscience 256
- Control and Systems Engineering 89
Countries citing papers authored by Matteo Cognolato
This map shows the geographic impact of Matteo Cognolato'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 Matteo Cognolato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matteo Cognolato more than expected).
Fields of papers citing papers by Matteo Cognolato
This network shows the impact of papers produced by Matteo Cognolato. 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 Matteo Cognolato. The network helps show where Matteo Cognolato may publish in the future.
Co-authorship network of co-authors of Matteo Cognolato
This figure shows the co-authorship network connecting the top 25 collaborators of Matteo Cognolato. A scholar is included among the top collaborators of Matteo Cognolato 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 Matteo Cognolato. Matteo Cognolato is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 16 | |
| 3 | 9 | |
| 4 | 26 | |
| 5 | 7 | |
| 6 | 15 | |
| 7 | 19 | |
| 8 | 51 | |
| 9 | 6 | |
| 10 | 10 | |
| 11 | Hand Gesture Classification in Transradial Amputees Using the Myo Armband Classifier* This work was partially supported by the Swiss National Science Foundation Sinergia project # 410160837 MeganePro. | 3 |
| 12 | 17 | |
| 13 | 85 | |
| 14 | 305 | |
| 15 | 6 | |
| 16 | 86 | |
| 17 | Deep Learning with Convolutional Neural Networks Applied to Electromyography Data: A Resource for the Classification of Movements for Prosthetic Hands breakdown → | 483 |
| 18 | 8 | |
| 19 | 0 | |
| 20 | Experimental validation of Xsens inertial sensors during clinical and sport motion capture applications | 6 |
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.