Amedeo Sapio

578 total citations
12 papers, 304 citations indexed

About

Amedeo Sapio is a scholar working on Computer Networks and Communications, Information Systems and Electrical and Electronic Engineering. According to data from OpenAlex, Amedeo Sapio has authored 12 papers receiving a total of 304 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Computer Networks and Communications, 5 papers in Information Systems and 5 papers in Electrical and Electronic Engineering. Recurrent topics in Amedeo Sapio's work include Software-Defined Networks and 5G (9 papers), Cloud Computing and Resource Management (5 papers) and Caching and Content Delivery (5 papers). Amedeo Sapio is often cited by papers focused on Software-Defined Networks and 5G (9 papers), Cloud Computing and Resource Management (5 papers) and Caching and Content Delivery (5 papers). Amedeo Sapio collaborates with scholars based in Italy, Canada and Saudi Arabia. Amedeo Sapio's co-authors include Marco Canini, Ibrahim Abdelaziz, Panos Kalnis, Chen-Yu Ho, Mario Baldi, Fulvio Risso, Sebastiano Miano, Alok Tongaonkar, Gyan Ranjan and Ruben Torres and has published in prestigious journals such as IEEE/ACM Transactions on Networking, International Journal of Electrical and Computer Engineering (IJECE) and Parallel Processing Letters.

In The Last Decade

Amedeo Sapio

12 papers receiving 299 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Amedeo Sapio Italy 6 250 89 71 63 39 12 304
Zhuolong Yu United States 10 349 1.4× 109 1.2× 97 1.4× 59 0.9× 13 0.3× 20 373
Yuebin Bai China 9 129 0.5× 73 0.8× 70 1.0× 86 1.4× 21 0.5× 33 251
Venkat Arun India 5 449 1.8× 79 0.9× 121 1.7× 85 1.3× 35 0.9× 8 476
Zhiquan Lai China 10 80 0.3× 50 0.6× 35 0.5× 116 1.8× 71 1.8× 39 219
Giuseppe Siracusano Italy 11 407 1.6× 85 1.0× 139 2.0× 61 1.0× 20 0.5× 35 459
Prateesh Goyal United States 8 391 1.6× 106 1.2× 87 1.2× 66 1.0× 44 1.1× 16 425
Yotam Harchol Israel 11 372 1.5× 96 1.1× 73 1.0× 88 1.4× 19 0.5× 16 408
Ketan Bhardwaj United States 8 217 0.9× 97 1.1× 36 0.5× 58 0.9× 52 1.3× 19 251
Michael Le United States 8 276 1.1× 144 1.6× 115 1.6× 61 1.0× 18 0.5× 19 334
Mohammad Alian United States 12 238 1.0× 83 0.9× 122 1.7× 76 1.2× 84 2.2× 29 373

Countries citing papers authored by Amedeo Sapio

Since Specialization
Citations

This map shows the geographic impact of Amedeo Sapio'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 Amedeo Sapio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amedeo Sapio more than expected).

Fields of papers citing papers by Amedeo Sapio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amedeo Sapio. 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 Amedeo Sapio. The network helps show where Amedeo Sapio may publish in the future.

Co-authorship network of co-authors of Amedeo Sapio

This figure shows the co-authorship network connecting the top 25 collaborators of Amedeo Sapio. A scholar is included among the top collaborators of Amedeo Sapio 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 Amedeo Sapio. Amedeo Sapio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Ho, Chen-Yu, et al.. (2021). Efficient sparse collective communication and its application to accelerate distributed deep learning. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 676–691. 60 indexed citations
2.
Marchetto, Guido, et al.. (2019). Multipoint Passive Monitoring in Packet Networks. IEEE/ACM Transactions on Networking. 27(6). 2377–2390. 8 indexed citations
3.
Baldi, Mario & Amedeo Sapio. (2018). Network Function Modeling and Performance Estimation. International Journal of Electrical and Computer Engineering (IJECE). 8(5). 3021–3021. 1 indexed citations
4.
Sapio, Amedeo, Mario Baldi, Fulvio Risso, Narendra Anand, & Antonio Nucci. (2017). Packet Capture and Analysis on MEDINA, A Massively Distributed Network Data Caching Platform. Parallel Processing Letters. 27(03n04). 1750010–1750010. 2 indexed citations
5.
Sapio, Amedeo, et al.. (2017). In-Network Computation is a Dumb Idea Whose Time Has Come. PORTO Publications Open Repository TOrino (Politecnico di Torino). 150–156. 187 indexed citations
6.
Sapio, Amedeo, Ibrahim Abdelaziz, Marco Canini, & Panos Kalnis. (2017). DAIET. King Abdullah University of Science and Technology Repository (King Abdullah University of Science and Technology). 626–626. 14 indexed citations
7.
Miano, Sebastiano, et al.. (2016). Enabling NFV Services on Resource-Constrained CPEs. PORTO Publications Open Repository TOrino (Politecnico di Torino). 83–88. 9 indexed citations
8.
Baldi, Mario, et al.. (2016). Modeling Native Software Components as Virtual Network Functions. 605–606. 2 indexed citations
9.
Sapio, Amedeo, Mario Baldi, & Gergely Pongrácz. (2015). Cross-Platform Estimation of Network Function Performance. 73–78. 5 indexed citations
10.
Baldi, Mario & Amedeo Sapio. (2015). A network function modeling approach for performance estimation. 527–533. 4 indexed citations
11.
Sapio, Amedeo, Mario Baldi, Gyan Ranjan, et al.. (2014). Per-user policy enforcement on mobile apps through network functions virtualization. 37–42. 7 indexed citations
12.
Sapio, Amedeo, Mario Baldi, Gyan Ranjan, et al.. (2014). MAPPER: A Mobile Application Personal Policy Enforcement Router for Enterprise Networks. 131–132. 5 indexed citations

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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