Luca Lombardi
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence
- Computer Networks and Communications
- Archeology top 5%
- Conservation top 2%
- Co-authors
- Luigi CinquePiercarlo DondiVirginio CantoniMarco MalagodiMaurizio LicchelliMarco PortaPaolo LombardiLin Zhan
- Topics
- Image Retrieval and Classification Techniques (9 papers)Advanced Data Compression Techniques (7 papers)Algorithms and Data Compression (6 papers)
- Partner nations
- ItalyUnited States
In The Last Decade
Luca Lombardi
63 papers receiving 400 citations
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 205
- Artificial Intelligence 72
- Computer Networks and Communications 48
- Archeology 43
- Conservation 42
Countries citing papers authored by Luca Lombardi
This map shows the geographic impact of Luca Lombardi'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 Luca Lombardi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luca Lombardi more than expected).
Fields of papers citing papers by Luca Lombardi
This network shows the impact of papers produced by Luca Lombardi. 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 Luca Lombardi. The network helps show where Luca Lombardi may publish in the future.
Co-authorship network of co-authors of Luca Lombardi
This figure shows the co-authorship network connecting the top 25 collaborators of Luca Lombardi. A scholar is included among the top collaborators of Luca Lombardi 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 Luca Lombardi. Luca Lombardi 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 | 5 | |
| 3 | 2 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 11 | |
| 7 | 5 | |
| 8 | 10 | |
| 9 | 3 | |
| 10 | Lip Tracking Towards an Automatic Lip Reading Approach. | 3 |
| 11 | COMPARISONS OF VISUAL FEATURES EXTRACTION TOWARDS AUTOMATIC LIP READING | 2 |
| 12 | Binary Image Compression via Monochromatic Pattern Substitution: A Sequential Speed-Up. | 1 |
| 13 | Binary image compression via monochromatic pattern substitution: effectiveness and scalability | 4 |
| 14 | 0 | |
| 15 | Speeding up Lossless Image Compression: Experimental Results on a Parallel Machine. | 2 |
| 16 | 4 | |
| 17 | 7 | |
| 18 | 6 | |
| 19 | 8 | |
| 20 | 24 |
About Luca Lombardi
Luca Lombardi is a scholar working on Computer Vision and Pattern Recognition, Conservation and Human-Computer Interaction, having authored 69 papers that have together received 428 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (9 papers), Advanced Data Compression Techniques (7 papers) and Algorithms and Data Compression (6 papers). The work is most often cited by research in Conservation (42 citations), Space and Planetary Science (13 citations) and Computer Vision and Pattern Recognition (205 citations). Luca Lombardi has collaborated with scholars based in Italy and United States. Frequent co-authors include Luigi Cinque, Piercarlo Dondi, Virginio Cantoni, Marco Malagodi, Maurizio Licchelli, Marco Porta, Paolo Lombardi, Lin Zhan, Giovanni Manzini and Alberto Biancardi. Their work appears in journals such as Proceedings of the IEEE, Pattern Recognition and Engineering Geology.
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.