Giuseppe Marra
- Artificial Intelligence top 10%
- Computer Vision and Pattern Recognition
- Information Systems
- Computational Theory and Mathematics
- Control and Systems Engineering
- Co-authors
- Luc De RaedtSebastijan DumančićMarco MagginiStefano MelacciMarco GoriFrancesco GianniniGiorgio TerracinaMichelangelo Diligenti
- Topics
- Neural Networks and Applications (8 papers)Bayesian Modeling and Causal Inference (6 papers)Advanced Graph Neural Networks (5 papers)
- Cited by
- Artificial IntelligenceComputer Vision and Pattern RecognitionComputational Theory and Mathematics
In The Last Decade
Giuseppe Marra
16 papers receiving 134 citations
Peers
Comparison fields: 5 of 48
- Artificial Intelligence 110
- Computer Vision and Pattern Recognition 26
- Information Systems 12
- Computational Theory and Mathematics 12
- Control and Systems Engineering 9
Countries citing papers authored by Giuseppe Marra
This map shows the geographic impact of Giuseppe Marra'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 Giuseppe Marra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuseppe Marra more than expected).
Fields of papers citing papers by Giuseppe Marra
This network shows the impact of papers produced by Giuseppe Marra. 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 Giuseppe Marra. The network helps show where Giuseppe Marra may publish in the future.
Co-authorship network of co-authors of Giuseppe Marra
This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe Marra. A scholar is included among the top collaborators of Giuseppe Marra 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 Giuseppe Marra. Giuseppe Marra 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 | 0 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 21 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 8 | |
| 10 | 0 | |
| 11 | 14 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 1 | |
| 15 | 1 | |
| 16 | 4 | |
| 17 | 55 | |
| 18 | 13 | |
| 19 | 0 | |
| 20 | 4 |
About Giuseppe Marra
Giuseppe Marra is a scholar working on Artificial Intelligence, Computational Theory and Mathematics and Computer Vision and Pattern Recognition, having authored 20 papers that have together received 140 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Bayesian Modeling and Causal Inference (6 papers) and Advanced Graph Neural Networks (5 papers). The work is most often cited by research in Artificial Intelligence (110 citations), Computer Vision and Pattern Recognition (26 citations) and Computational Theory and Mathematics (12 citations). Giuseppe Marra has collaborated with scholars based in Belgium, Italy and Sweden. Frequent co-authors include Luc De Raedt, Sebastijan Dumančić, Marco Maggini, Stefano Melacci, Marco Gori, Francesco Giannini, Giorgio Terracina, Michelangelo Diligenti, Francesco Ricca and Domenico Ursino. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence and IEEE Transactions on Neural Networks and Learning Systems.
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.