Gregorio Procissi

1.1k citations
98 papers · 870 · h-index 14

Impact in

Papers in

Gregorio Procissi

92 papers receiving 826 citations

Peers

Gregorio Procissi
Comparison fields: 5 of 61
  • Hardware and Architecture 267
  • Computer Networks and Communications 712
  • Artificial Intelligence 262
  • Signal Processing 48
  • Information Systems 98
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Elias P. Duarte Brazil
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Citations per field
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Citations per year

Countries citing papers authored by Gregorio Procissi

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Gregorio Procissi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Gregorio Procissi Line = papers co-authored together Gregorio Procissi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 98 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008116
2 2018107
3 200843
4 201239
5 201835
6 200235
7 201032
8 201622
9 201021
10 200221
11 200821
12 201417
13 200916
14 201515
15
BRUNO: A high performance traffic generator for network processor
200813
16 201012
17 201210
18 201510
19 201110
20
BRUTE: A High Performance and Extensibile Traffic Generator
200510

About Gregorio Procissi

Gregorio Procissi is a scholar working on Computer Networks and Communications, Hardware and Architecture, Electrical and Electronic Engineering, Artificial Intelligence and Management Information Systems, having authored 98 papers that have together received 870 indexed citations. Recurring topics across this work include Software-Defined Networks and 5G (36 papers), Network Packet Processing and Optimization (29 papers), Network Security and Intrusion Detection (29 papers), Network Traffic and Congestion Control (28 papers), Caching and Content Delivery (20 papers), Internet Traffic Analysis and Secure E-voting (13 papers), Advanced Queuing Theory Analysis (9 papers) and Interconnection Networks and Systems (7 papers). The work is most often cited by research in Hardware and Architecture (267 citations), Computer Networks and Communications (712 citations), Artificial Intelligence (262 citations), Signal Processing (48 citations) and Information Systems (98 citations). Gregorio Procissi has collaborated with scholars based in Italy, United States and Switzerland. 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 Computer Networks, Computer Communications, IEEE Access, IEEE/ACM Transactions on Networking and IEEE Communications Letters.

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.

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