Marco Bonola

52 total papers · 1.1k total citations
31 papers, 771 citations indexed

About

Marco Bonola is a scholar working on Computer Networks and Communications, Electrical and Electronic Engineering and Hardware and Architecture. According to data from OpenAlex, Marco Bonola has authored 31 papers receiving a total of 771 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Computer Networks and Communications, 14 papers in Electrical and Electronic Engineering and 6 papers in Hardware and Architecture. Recurrent topics in Marco Bonola's work include Software-Defined Networks and 5G (18 papers), IPv6, Mobility, Handover, Networks, Security (7 papers) and Network Security and Intrusion Detection (7 papers). Marco Bonola is often cited by papers focused on Software-Defined Networks and 5G (18 papers), IPv6, Mobility, Handover, Networks, Security (7 papers) and Network Security and Intrusion Detection (7 papers). Marco Bonola collaborates with scholars based in Italy, United Kingdom and United States. Marco Bonola's co-authors include Giuseppe Bianchi, Carmelo Cascone, Antonio Capone, Pierpaolo Loreti, Lorenzo Bracciale, Salvatore Pontarelli, Roberto Bifulco, Stefano Salsano, Giuseppe Siracusano and Antonio Capone and has published in prestigious journals such as Communications of the ACM, ACM SIGCOMM Computer Communication Review and Computer Networks.

In The Last Decade

Marco Bonola

30 papers receiving 752 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Marco Bonola	631	271	146	91	90	31	771
Cong Liu	280 0.4×	226 0.8×	137 0.9×	31 0.3×	98 1.1×	40	836
Myungjin Lee	619 1.0×	248 0.9×	167 1.1×	18 0.2×	216 2.4×	39	828
Suk-Bok Lee	533 0.8×	499 1.8×	108 0.7×	28 0.3×	57 0.6×	21	711
Philipp Svoboda	520 0.8×	496 1.8×	86 0.6×	58 0.6×	27 0.3×	79	803
Mingyuan Xia	337 0.5×	174 0.6×	119 0.8×	28 0.3×	161 1.8×	28	622
Qingjun Xiao	563 0.9×	470 1.7×	321 2.2×	19 0.2×	93 1.0×	43	897
Justin Manweiler	464 0.7×	354 1.3×	122 0.8×	48 0.5×	60 0.7×	31	779
Qasim Ali Arain	191 0.3×	312 1.2×	264 1.8×	54 0.6×	115 1.3×	37	673
Xi Jin	414 0.7×	215 0.8×	71 0.5×	14 0.2×	94 1.0×	39	622
Yunsheng Wang	467 0.7×	157 0.6×	91 0.6×	151 1.7×	49 0.5×	38	724

Countries citing papers authored by Marco Bonola

Since Specialization

Citations

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

Fields of papers citing papers by Marco Bonola

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Bonola

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

All Works

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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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