Mattia D’Emidio
- Computer Networks and Communications top 10%
- Mechanical Engineering
- Computer Vision and Pattern Recognition
- Signal Processing top 10%
- Artificial Intelligence
- Co-authors
- Daniele FrigioniAlfredo NavarraGianlorenzo D’AngeloGuido ProiettiGabriele Di StefanoStefano LeucciLuca ForlizziAlfonso Pierantonio
- Topics
- Data Management and Algorithms (11 papers)Optimization and Search Problems (9 papers)Modular Robots and Swarm Intelligence (6 papers)
- Partner nations
- ItalyGreeceSwitzerland
In The Last Decade
Mattia D’Emidio
27 papers receiving 216 citations
Peers
Comparison fields: 5 of 44
- Computer Networks and Communications 113
- Mechanical Engineering 61
- Computer Vision and Pattern Recognition 46
- Signal Processing 46
- Artificial Intelligence 41
Countries citing papers authored by Mattia D’Emidio
This map shows the geographic impact of Mattia D’Emidio'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 Mattia D’Emidio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mattia D’Emidio more than expected).
Fields of papers citing papers by Mattia D’Emidio
This network shows the impact of papers produced by Mattia D’Emidio. 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 Mattia D’Emidio. The network helps show where Mattia D’Emidio may publish in the future.
Co-authorship network of co-authors of Mattia D’Emidio
This figure shows the co-authorship network connecting the top 25 collaborators of Mattia D’Emidio. A scholar is included among the top collaborators of Mattia D’Emidio 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 Mattia D’Emidio. Mattia D’Emidio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 20 | |
| 7 | 1 | |
| 8 | 15 | |
| 9 | 0 | |
| 10 | 4 | |
| 11 | On Mining Distances in Large-Scale Dynamic Graphs. | 2 |
| 12 | 13 | |
| 13 | 9 | |
| 14 | Simple and Practically Efficient Fault-tolerant 2-hop Cover Labelings. | 1 |
| 15 | On the Clustered Shortest-Path Tree Problem. | 12 |
| 16 | Improved protocols for luminous asynchronous robots | 1 |
| 17 | 12 | |
| 18 | 12 | |
| 19 | 5 | |
| 20 | 8 |
About Mattia D’Emidio
Mattia D’Emidio is a scholar working on Signal Processing, Computer Networks and Communications and Software, having authored 31 papers that have together received 221 indexed citations. Recurring topics across this work include Data Management and Algorithms (11 papers), Optimization and Search Problems (9 papers) and Modular Robots and Swarm Intelligence (6 papers). The work is most often cited by research in Software (19 citations), Computer Networks and Communications (113 citations) and Signal Processing (46 citations). Mattia D’Emidio has collaborated with scholars based in Italy, Greece and Switzerland. Frequent co-authors include Daniele Frigioni, Alfredo Navarra, Gianlorenzo D’Angelo, Guido Proietti, Gabriele Di Stefano, Stefano Leucci, Luca Forlizzi, Alfonso Pierantonio, Giuseppe Prencipe and Ludovico Iovino. Their work appears in journals such as IEEE Access, IEEE Transactions on Software Engineering and Applied Sciences.
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.