Michela Becchi

2.9k citations
84 papers · 2.1k · h-index 25

Impact in

Papers in

Michela Becchi

81 papers receiving 2.1k citations

Peers

Michela Becchi
Comparison fields: 5 of 83
  • Hardware and Architecture 1.6k
  • Computer Networks and Communications 1.3k
  • Artificial Intelligence 968
  • Software 98
  • Information Systems 364
Replace Mark Oskin with:
Mark Oskin United States
Gianluca Palermo Italy
Tatiana Shpeisman United States
Paolo Faraboschi United States
Thomas M. Conte United States
Cliff Young United States
Cristina Silvano Italy
Dionisios Pnevmatikatos Greece
Calvin Lin United States
William H. Mangione-Smith United States
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Citations per field
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Citations per year

Countries citing papers authored by Michela Becchi

Since Specialization
Citations

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

Fields of papers citing papers by Michela Becchi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Michela Becchi, 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 Michela Becchi Line = papers co-authored together Michela Becchi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 84 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2007178
2 2006167
3 2007159
4 2008117
5 2016112
6 201198
7 200893
8 200791
9 201078
10 200858
11 201556
12 201354
13 201352
14 201249
15 200649
16 200948
17 201737
18 201237
19 201236
20 201335

About Michela Becchi

Michela Becchi is a scholar working on Hardware and Architecture, Computer Networks and Communications, Artificial Intelligence, Information Systems and Molecular Biology, having authored 84 papers that have together received 2.1k indexed citations. Recurring topics across this work include Parallel Computing and Optimization Techniques (43 papers), Network Packet Processing and Optimization (29 papers), Algorithms and Data Compression (25 papers), Advanced Data Storage Technologies (21 papers), Distributed and Parallel Computing Systems (17 papers), Network Security and Intrusion Detection (14 papers), Cloud Computing and Resource Management (12 papers) and Genomics and Phylogenetic Studies (6 papers). The work is most often cited by research in Hardware and Architecture (1.6k citations), Computer Networks and Communications (1.3k citations), Artificial Intelligence (968 citations), Software (98 citations) and Information Systems (364 citations). Michela Becchi has collaborated with scholars based in United States, Slovakia and Israel. Frequent co-authors include Patrick Crowley, Srihari Cadambi, Srimat Chakradhar, Xiaodong Yu, Da Li, Vignesh T. Ravi, Gagan Agrawal, Mark A. Franklin, Xinbo Chen and Ziliang Zong. Their work appears in journals such as ACM SIGPLAN Notices, IEEE Journal on Selected Areas in Communications, DNA Research, IEEE Transactions on Parallel and Distributed Systems and ACM Transactions on Embedded Computing Systems.

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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