Gregorio Procissi
- Computer Networks and Communications top 2%
- Hardware and Architecture top 5%
- Artificial Intelligence top 5%
- Electrical and Electronic Engineering
- Information Systems top 10%
- Co-authors
- Stefano GiordanoDomenico FicaraFabio VitucciAndrea Di PietroGianni AntichiRosario G. GarroppoMike O. OjoMário Gerla
- Topics
- Software-Defined Networks and 5G (33 papers)Network Security and Intrusion Detection (27 papers)Network Traffic and Congestion Control (25 papers)
- Partner nations
- ItalyUnited StatesCanada
In The Last Decade
Gregorio Procissi
84 papers receiving 685 citations
Peers
Comparison fields: 5 of 59
- Computer Networks and Communications 585
- Hardware and Architecture 226
- Artificial Intelligence 217
- Electrical and Electronic Engineering 164
- Information Systems 77
Countries citing papers authored by Gregorio Procissi
This map shows the geographic impact of Gregorio Procissi'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 Gregorio Procissi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gregorio Procissi more than expected).
Fields of papers citing papers by Gregorio Procissi
This network shows the impact of papers produced by Gregorio Procissi. 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 Gregorio Procissi. The network helps show where Gregorio Procissi may publish in the future.
Co-authorship network of co-authors of Gregorio Procissi
This figure shows the co-authorship network connecting the top 25 collaborators of Gregorio Procissi. A scholar is included among the top collaborators of Gregorio Procissi 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 Gregorio Procissi. Gregorio Procissi 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 | 94 | |
| 3 | 6 | |
| 4 | 9 | |
| 5 | 1 | |
| 6 | 13 | |
| 7 | Enforcing privacy in smart grid communications | 1 |
| 8 | 16 | |
| 9 | 4 | |
| 10 | 4 | |
| 11 | 21 | |
| 12 | 14 | |
| 13 | BRUNO: A high performance traffic generator for network processor | 9 |
| 14 | End-to-end inference of link level queueing delay distribution and variance | 7 |
| 15 | 5 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | 8 | |
| 19 | A Flexible Measurement System for supporting Traffic Engineering in Diffserv/MPLS Networks | 1 |
| 20 | On Long Range Dependance and Token Buckets | 6 |
About Gregorio Procissi
Gregorio Procissi is a scholar working on Hardware and Architecture, Computer Networks and Communications and Management Information Systems, having authored 88 papers that have together received 724 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (33 papers), Network Security and Intrusion Detection (27 papers) and Network Traffic and Congestion Control (25 papers). The work is most often cited by research in Hardware and Architecture (226 citations), Computer Networks and Communications (585 citations) and Artificial Intelligence (217 citations). Gregorio Procissi has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Stefano Giordano, Domenico Ficara, Fabio Vitucci, Andrea Di Pietro, Gianni Antichi, Rosario G. Garroppo, Mike O. Ojo, Mário Gerla, M.Y. Sanadidi and Michele Pagano. Their work appears in journals such as IEEE Access, IEEE Journal on Selected Areas in Communications and Sensors.
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.