Paolo Faraboschi

3.8k total citations
108 papers, 2.5k citations indexed

About

Paolo Faraboschi is a scholar working on Hardware and Architecture, Computer Networks and Communications and Artificial Intelligence. According to data from OpenAlex, Paolo Faraboschi has authored 108 papers receiving a total of 2.5k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Hardware and Architecture, 47 papers in Computer Networks and Communications and 31 papers in Artificial Intelligence. Recurrent topics in Paolo Faraboschi's work include Parallel Computing and Optimization Techniques (51 papers), Embedded Systems Design Techniques (23 papers) and Advanced Data Storage Technologies (20 papers). Paolo Faraboschi is often cited by papers focused on Parallel Computing and Optimization Techniques (51 papers), Embedded Systems Design Techniques (23 papers) and Advanced Data Storage Technologies (20 papers). Paolo Faraboschi collaborates with scholars based in United States, Italy and United Kingdom. Paolo Faraboschi's co-authors include Joseph A. Fisher, Dejan Milojičić, Giuseppe Desoli, Cliff Young, Alessandro De Gloria, Eduardo Argollo, Daniel Ortega, Ayose Falcón, Gavin M. Brown and Matteo Monchiero and has published in prestigious journals such as Proceedings of the IEEE, Computer Physics Communications and Computer.

In The Last Decade

Paolo Faraboschi

99 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Paolo Faraboschi United States 25 1.6k 1.4k 651 424 382 108 2.5k
Gianluca Palermo Italy 24 1.3k 0.8× 867 0.6× 542 0.8× 244 0.6× 360 0.9× 136 1.8k
Sudhakar Yalamanchili United States 29 1.8k 1.2× 1.9k 1.4× 999 1.5× 441 1.0× 258 0.7× 130 2.8k
Cristina Silvano Italy 28 1.8k 1.1× 1.2k 0.8× 1.0k 1.5× 237 0.6× 310 0.8× 145 2.3k
Qing Yang United States 19 594 0.4× 1.5k 1.0× 305 0.5× 438 1.0× 229 0.6× 108 1.9k
Kees Vissers United States 20 1.6k 1.0× 1.1k 0.8× 620 1.0× 162 0.4× 276 0.7× 62 2.2k
Eric S. Chung United States 16 971 0.6× 867 0.6× 537 0.8× 264 0.6× 342 0.9× 31 1.7k
Gang Quan United States 26 1.4k 0.9× 1.2k 0.8× 614 0.9× 695 1.6× 182 0.5× 136 2.5k
Fabrizio Ferrandi Italy 18 1.4k 0.9× 604 0.4× 682 1.0× 185 0.4× 193 0.5× 151 1.8k
Thomas M. Conte United States 27 1.9k 1.2× 1.4k 1.0× 663 1.0× 251 0.6× 326 0.9× 142 2.3k
Vivek Seshadri United States 24 2.0k 1.3× 1.9k 1.4× 1.4k 2.1× 494 1.2× 696 1.8× 53 3.2k

Countries citing papers authored by Paolo Faraboschi

Since Specialization
Citations

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

Fields of papers citing papers by Paolo Faraboschi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Paolo Faraboschi

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

All Works

20 of 20 papers shown
1.
Zhao, Lei, et al.. (2025). Enhancing FPGAs with Analog In-Memory Computing Macros. 179–179. 1 indexed citations
2.
Pedretti, Giacomo, Sergey Serebryakov, Omar Eldash, et al.. (2024). CAMSHAP: Accelerating Machine Learning Model Explainability with Analog CAM. 1–9.
3.
Faraboschi, Paolo, et al.. (2024). What Gets You Hired Now Will Not Get You Hired Then. IT Professional. 26(1). 26–31. 1 indexed citations
4.
Pedretti, Giacomo, Sergey Serebryakov, Ron M. Roth, et al.. (2024). X-TIME: Accelerating Large Tree Ensembles Inference for Tabular Data With Analog CAMs. IEEE Journal on Exploratory Solid-State Computational Devices and Circuits. 10. 116–124. 2 indexed citations
5.
Bash, Cullen, Paolo Faraboschi, Eitan Frachtenberg, et al.. (2023). Megatrends. Computer. 56(7). 93–100. 6 indexed citations
6.
Faraboschi, Paolo, Eitan Frachtenberg, Phil Laplante, Dejan Milojičić, & Roberto Saracco. (2023). Artificial General Intelligence: Humanity’s Downturn or Unlimited Prosperity. Computer. 56(10). 93–101. 10 indexed citations
7.
Arlitt, Martin, Thomas Coughlin, Paolo Faraboschi, et al.. (2023). Future of the Workforce. Computer. 56(1). 52–63. 10 indexed citations
8.
Faraboschi, Paolo, Eitan Frachtenberg, Phil Laplante, Dejan Milojičić, & Roberto Saracco. (2023). Digital Transformation: Lights and Shadows. Computer. 56(4). 123–130. 11 indexed citations
9.
Foltín, Martin, Maxim Ziatdinov, Suparna Bhattacharya, et al.. (2023). Towards Rapid Autonomous Electron Microscopy with Active Meta-Learning. 81–87.
10.
Faraboschi, Paolo, Eitan Frachtenberg, Phil Laplante, Dejan Milojičić, & Roberto Saracco. (2022). Virtual Worlds (Metaverse): From Skepticism, to Fear, to Immersive Opportunities. Computer. 55(10). 100–106. 31 indexed citations
11.
Faraboschi, Paolo, et al.. (2019). Rack-Scale Capabilities: Fine-Grained Protection for Large-Scale Memories. Computer. 52(2). 52–62. 3 indexed citations
12.
Faraboschi, Paolo, Kimberly Keeton, T.P. Marsland, & Dejan Milojičić. (2015). Beyond processor-centric operating systems. 17–17. 45 indexed citations
13.
Scionti, Alberto, Zhibin Yu, Paolo Faraboschi, et al.. (2012). Simulating the future kilo-x86-64 core processors and their infrastructure. Annual Simulation Symposium. 9. 15 indexed citations
14.
Faraboschi, Paolo, et al.. (2009). VLIW Processors: From Blue Sky To Best Buy. IEEE Solid-State Circuits Magazine. 1(2). 10–17. 3 indexed citations
15.
Desoli, Giuseppe, Nikolay Mateev, Evelyn Duesterwald, Paolo Faraboschi, & Joseph A. Fisher. (2002). DELI: a new run-time control point. International Symposium on Microarchitecture. 257–268. 66 indexed citations
16.
Patt, Yale N., et al.. (2001). Proceedings of the 34th annual ACM/IEEE international symposium on Microarchitecture. International Symposium on Microarchitecture. 45 indexed citations
17.
Fisher, Joseph A., Paolo Faraboschi, & Giuseppe Desoli. (1996). Custom-fit processors: letting applications define architectures. International Symposium on Microarchitecture. 324–335. 69 indexed citations
18.
Costa, Andrea, et al.. (1994). A tool for automatic synthesis of fuzzy controllers. 1771–1775 vol.3. 3 indexed citations
19.
Gloria, Alessandro De, et al.. (1991). A VLIW architecture for Prolog. Hormones and Behavior. 6(1). 27–31. 2 indexed citations
20.
Gloria, Alessandro De & Paolo Faraboschi. (1990). An evaluation system for application specific architectures. International Symposium on Microarchitecture. 80–89. 14 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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