Beatrice Bussolino

479 total citations
6 papers, 270 citations indexed

About

Beatrice Bussolino is a scholar working on Electrical and Electronic Engineering, Computer Vision and Pattern Recognition and Artificial Intelligence. According to data from OpenAlex, Beatrice Bussolino has authored 6 papers receiving a total of 270 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Electrical and Electronic Engineering, 3 papers in Computer Vision and Pattern Recognition and 3 papers in Artificial Intelligence. Recurrent topics in Beatrice Bussolino's work include Advanced Memory and Neural Computing (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Beatrice Bussolino is often cited by papers focused on Advanced Memory and Neural Computing (3 papers), Ferroelectric and Negative Capacitance Devices (3 papers) and Adversarial Robustness in Machine Learning (2 papers). Beatrice Bussolino collaborates with scholars based in Italy, Austria and United Arab Emirates. Beatrice Bussolino's co-authors include Maurizio Martina, Alberto Marchisio, Muhammad Shafique, Guido Masera, Maurizio Capra, Vojtěch Mrázek, Zhe Wang, Andrea Massa, Renzo Andri and Lukas Cavigelli and has published in prestigious journals such as IEEE Access and Future Internet.

In The Last Decade

Beatrice Bussolino

6 papers receiving 262 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Beatrice Bussolino Italy	5	129	96	96	39	34	6	270
Ahmad Shawahna Saudi Arabia	4	166 1.3×	155 1.6×	127 1.3×	60 1.5×	56 1.6×	5	354
Maurizio Capra Italy	5	172 1.3×	116 1.2×	108 1.1×	45 1.2×	87 2.6×	7	365
Manuele Rusci Italy	10	137 1.1×	142 1.5×	122 1.3×	31 0.8×	68 2.0×	29	362
Fuxun Yu United States	9	66 0.5×	140 1.5×	143 1.5×	16 0.4×	33 1.0×	30	261
Jonghoon Jin United States	6	226 1.8×	286 3.0×	111 1.2×	56 1.4×	21 0.6×	10	384
Shengyuan Zhou China	8	213 1.7×	173 1.8×	122 1.3×	95 2.4×	51 1.5×	14	378
Zhenglun Kong United States	9	89 0.7×	103 1.1×	76 0.8×	22 0.6×	18 0.5×	32	250
Guy Boudoukh Israel	3	161 1.2×	154 1.6×	87 0.9×	78 2.0×	55 1.6×	3	296
Naveed Khan Baloch Pakistan	11	96 0.7×	32 0.3×	88 0.9×	47 1.2×	119 3.5×	19	334
M. B. Abdelhalim Egypt	10	135 1.0×	80 0.8×	110 1.1×	121 3.1×	86 2.5×	60	371

Countries citing papers authored by Beatrice Bussolino

Since Specialization

Citations

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

Fields of papers citing papers by Beatrice Bussolino

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatrice Bussolino

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

All Works

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6 of 6 papers shown

1.

Marchisio, Alberto, Vojtěch Mrázek, Andrea Massa, et al.. (2022). RoHNAS: A Neural Architecture Search Framework With Conjoint Optimization for Adversarial Robustness and Hardware Efficiency of Convolutional and Capsule Networks. IEEE Access. 10. 109043–109055. 7 indexed citations

2.

Marchisio, Alberto, et al.. (2022). Enabling Capsule Networks at the Edge through Approximate Softmax and Squash Operations. 1–6. 8 indexed citations

3.

Andri, Renzo, et al.. (2022). Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tiles. 582–598. 5 indexed citations

4.

Marchisio, Alberto, Beatrice Bussolino, Vojtěch Mrázek, et al.. (2020). A Fast Design Space Exploration Framework for the Deep Learning Accelerators: Work-in-Progress. 34–36. 3 indexed citations

5.

Capra, Maurizio, Beatrice Bussolino, Alberto Marchisio, et al.. (2020). Hardware and Software Optimizations for Accelerating Deep Neural Networks: Survey of Current Trends, Challenges, and the Road Ahead. IEEE Access. 8. 225134–225180. 127 indexed citations

6.

Capra, Maurizio, Beatrice Bussolino, Alberto Marchisio, et al.. (2020). An Updated Survey of Efficient Hardware Architectures for Accelerating Deep Convolutional Neural Networks. Future Internet. 12(7). 113–113. 120 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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