Giovanni Motta
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Signal Processing top 5%
- Computer Networks and Communications top 10%
- Media Technology top 5%
- Co-authors
- David SalomonJames A. StorerFrancesco RizzoFrançoise BeaufaysRainer von SachsChristian HafnerE BoccaC Calearo
- Topics
- Image Retrieval and Classification Techniques (8 papers)Advanced Image and Video Retrieval Techniques (8 papers)Advanced Data Compression Techniques (5 papers)
- Partner nations
- United StatesItalyNetherlands
In The Last Decade
Giovanni Motta
38 papers receiving 692 citations
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 306
- Artificial Intelligence 251
- Signal Processing 108
- Computer Networks and Communications 68
- Media Technology 63
Countries citing papers authored by Giovanni Motta
This map shows the geographic impact of Giovanni Motta'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 Giovanni Motta with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giovanni Motta more than expected).
Fields of papers citing papers by Giovanni Motta
This network shows the impact of papers produced by Giovanni Motta. 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 Giovanni Motta. The network helps show where Giovanni Motta may publish in the future.
Co-authorship network of co-authors of Giovanni Motta
This figure shows the co-authorship network connecting the top 25 collaborators of Giovanni Motta. A scholar is included among the top collaborators of Giovanni Motta 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 Giovanni Motta. Giovanni Motta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 8 | |
| 4 | 7 | |
| 5 | 2 | |
| 6 | 7 | |
| 7 | 17 | |
| 8 | The dynamic reconstruction of meaning in the debt crisis: An Evolutionary Factor Analysis of strategic frames and journalistic accounts in Germany and Greece | 1 |
| 9 | 10 | |
| 10 | 33 | |
| 11 | 2 | |
| 12 | 25 | |
| 13 | Locally Stationary Factor Models: Identification And Nonparametric Estimation | 0 |
| 14 | 1 | |
| 15 | 117 | |
| 16 | Compression of Hyperspectral Imagery. | 15 |
| 17 | Compression of Polynomial Texture Maps | 2 |
| 18 | 1 | |
| 19 | 27 | |
| 20 | 14 |
About Giovanni Motta
Giovanni Motta is a scholar working on Computer Vision and Pattern Recognition, Otorhinolaryngology and Signal Processing, having authored 41 papers that have together received 748 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (8 papers), Advanced Image and Video Retrieval Techniques (8 papers) and Advanced Data Compression Techniques (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (306 citations), Otorhinolaryngology (58 citations) and Signal Processing (108 citations). Giovanni Motta has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include David Salomon, James A. Storer, Francesco Rizzo, Françoise Beaufays, Rainer von Sachs, Christian Hafner, E Bocca, C Calearo, Antonio Ottaviani and Christian Baden. Their work appears in journals such as The Astrophysical Journal, Cancer and Biometrics.
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.