Michela Becchi

2.9k total citations
84 papers, 2.1k citations indexed

About

Michela Becchi is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Michela Becchi has authored 84 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 72 papers in Hardware and Architecture, 54 papers in Computer Networks and Communications and 39 papers in Artificial Intelligence. Recurrent topics in Michela Becchi's work include Parallel Computing and Optimization Techniques (43 papers), Network Packet Processing and Optimization (29 papers) and Algorithms and Data Compression (25 papers). Michela Becchi is often cited by papers focused on Parallel Computing and Optimization Techniques (43 papers), Network Packet Processing and Optimization (29 papers) and Algorithms and Data Compression (25 papers). Michela Becchi collaborates with scholars based in United States, Slovakia and Israel. Michela Becchi's co-authors include Patrick Crowley, Srihari Cadambi, Srimat Chakradhar, Xiaodong Yu, Da Li, Vignesh T. Ravi, Gagan Agrawal, Mark A. Franklin, Ziliang Zong and Xinbo Chen and has published in prestigious journals such as SHILAP Revista de lepidopterología, IEEE Journal on Selected Areas in Communications and IEEE Transactions on Computers.

In The Last Decade

Michela Becchi

81 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Michela Becchi United States	25	1.6k	1.3k	968	364	236	84	2.1k
Gianluca Palermo Italy	24	1.3k 0.8×	867 0.7×	360 0.4×	244 0.7×	542 2.3×	136	1.8k
Sarang Dharmapurikar United States	21	1.8k 1.1×	2.9k 2.2×	1.4k 1.4×	525 1.4×	263 1.1×	25	3.3k
Dionisios Pnevmatikatos Greece	23	1.4k 0.9×	1.3k 1.0×	440 0.5×	249 0.7×	467 2.0×	119	1.8k
Cliff Young United States	21	1.1k 0.7×	825 0.6×	452 0.5×	187 0.5×	668 2.8×	39	1.9k
Mark Oskin United States	27	1.6k 1.0×	1.4k 1.1×	590 0.6×	315 0.9×	565 2.4×	80	2.4k
H. Peter Hofstee United States	21	1.6k 1.0×	1.4k 1.1×	311 0.3×	258 0.7×	752 3.2×	78	2.5k
Scott Nettles United States	22	415 0.3×	1.3k 1.0×	551 0.6×	254 0.7×	294 1.2×	65	1.7k
Juan Gómez-Luna Switzerland	22	898 0.6×	828 0.6×	388 0.4×	214 0.6×	657 2.8×	103	1.8k
Roger D. Chamberlain United States	20	765 0.5×	737 0.6×	311 0.3×	162 0.4×	244 1.0×	194	1.5k
Sungpack Hong United States	18	970 0.6×	1.0k 0.8×	572 0.6×	470 1.3×	398 1.7×	42	2.0k

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-authorship network of co-authors of Michela Becchi

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Minutoli, Marco, et al.. (2024). FuseIM: Fusing Probabilistic Traversals for Influence Maximization on Exascale Systems. 38–49. 1 indexed citations

Shah, Milan, Xiaodong Yu, Sheng Di, Michela Becchi, & Franck Cappello. (2024). A Portable, Fast, DCT-based Compressor for AI Accelerators. 109–121. 2 indexed citations

Di, Sheng, et al.. (2024). Significantly Improving Fixed-Ratio Compression Framework for Resource-limited Applications. 845–855.

Minutoli, Marco, et al.. (2023). High-Level Synthesis of Irregular Applications. 12–22.

Byna, Suren, et al.. (2023). Runway: In-transit Data Compression on Heterogeneous HPC Systems. 43. 229–239. 1 indexed citations

Byna, Suren, et al.. (2023). Evaluating Asynchronous Parallel I/O on HPC Systems. 15. 211–221. 2 indexed citations

Becchi, Michela, et al.. (2019). Evaluating High Performance Pattern Matching on the Automata Processor. IEEE Transactions on Computers. 68(8). 1201–1212. 2 indexed citations

Becchi, Michela, et al.. (2019). A comparative study of parallel programming frameworks for distributed GPU applications. 268–273. 4 indexed citations

Becchi, Michela, et al.. (2017). A Memory-Efficient GPU Method for Hamming and Levenshtein Distance Similarity. 408–418. 5 indexed citations

10.

Xiaodong, Yu, et al.. (2016). O 3 FA: A scalable finite automata-based pattern-matching engine for out-of-order deep packet inspection. IEEE Conference Proceedings. 2016. 11. 4 indexed citations

11.

Li, Da, Xinbo Chen, Michela Becchi, & Ziliang Zong. (2016). Evaluating the Energy Efficiency of Deep Convolutional Neural Networks on CPUs and GPUs. 477–484. 112 indexed citations

12.

Chen, Xinming, Brandon C. Jones, Michela Becchi, & Tilman Wolf. (2013). Picking pesky parameters: optimizing regular expression matching in practice. 203–214. 5 indexed citations

13.

Ellison, Michael J., Gavin C. Conant, Rebecca Cockrum, et al.. (2013). Diet Alters Both the Structure and Taxonomy of the Ovine Gut Microbial Ecosystem. DNA Research. 21(2). 115–125. 35 indexed citations

14.

Li, Da, et al.. (2013). A distributed CPU-GPU framework for pairwise alignments on large-scale sequence datasets. 329–338. 7 indexed citations

15.

Pang, Bin, Nan Zhao, Michela Becchi, Dmitry Korkin, & Chi‐Ren Shyu. (2012). Accelerating large-scale protein structure alignments with graphics processing units. BMC Research Notes. 5(1). 116–116. 22 indexed citations

16.

Becchi, Michela, et al.. (2012). A virtual memory based runtime to support multi-tenancy in clusters with GPUs. 97–108. 49 indexed citations

17.

Ravi, Vignesh T., Michela Becchi, Wei Jiang, Gagan Agrawal, & Srimat Chakradhar. (2012). Scheduling Concurrent Applications on a Cluster of CPU-GPU Nodes. 140–147. 36 indexed citations

18.

Becchi, Michela & Patrick Crowley. (2008). Dynamic Thread Assignment on Heterogeneous Multiprocessor Architectures.. 10. 14 indexed citations

19.

Becchi, Michela & Srihari Cadambi. (2007). Memory-Efficient Regular Expression Search Using State Merging. 1064–1072. 91 indexed citations

20.

Becchi, Michela & Patrick Crowley. (2007). A hybrid finite automaton for practical deep packet inspection. 1–1. 178 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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