Fabio Boi

554 total citations
23 papers, 334 citations indexed

About

Fabio Boi is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrical and Electronic Engineering. According to data from OpenAlex, Fabio Boi has authored 23 papers receiving a total of 334 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Cellular and Molecular Neuroscience, 16 papers in Cognitive Neuroscience and 11 papers in Electrical and Electronic Engineering. Recurrent topics in Fabio Boi's work include Neuroscience and Neural Engineering (21 papers), Neural dynamics and brain function (12 papers) and Advanced Memory and Neural Computing (11 papers). Fabio Boi is often cited by papers focused on Neuroscience and Neural Engineering (21 papers), Neural dynamics and brain function (12 papers) and Advanced Memory and Neural Computing (11 papers). Fabio Boi collaborates with scholars based in Italy, United States and Germany. Fabio Boi's co-authors include Gian Nicola Angotzi, Luca Berdondini, Aziliz Lecomte, Mario Malerba, Ermanno Miele, Alessandro Vato, Antonino Casile, Stefano Zucca, Vito De Feo and Chiara Bartolozzi and has published in prestigious journals such as Scientific Reports, Biosensors and Bioelectronics and Advanced Science.

In The Last Decade

Fabio Boi

22 papers receiving 328 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Fabio Boi Italy	9	255	194	174	71	19	23	334
Jacopo Tessadori Italy	10	255 1.0×	251 1.3×	142 0.8×	61 0.9×	15 0.8×	28	365
Isha Gupta United Kingdom	12	208 0.8×	108 0.6×	311 1.8×	38 0.5×	32 1.7×	31	522
Giacomo Spigler Italy	6	200 0.8×	225 1.2×	67 0.4×	205 2.9×	23 1.2×	10	351
Bingzhao Zhu United States	11	160 0.6×	204 1.1×	136 0.8×	88 1.2×	25 1.3×	18	351
Kedar G. Shah United States	8	325 1.3×	342 1.8×	103 0.6×	74 1.0×	15 0.8×	18	444
B. Hutt United Kingdom	7	131 0.5×	151 0.8×	30 0.2×	85 1.2×	26 1.4×	10	277
Gabriel Gagnon-Turcotte Canada	12	265 1.0×	179 0.9×	135 0.8×	300 4.2×	12 0.6×	43	519
Samantha R. Santacruz United States	9	316 1.2×	224 1.2×	161 0.9×	175 2.5×	9 0.5×	16	470

Countries citing papers authored by Fabio Boi

Since Specialization

Citations

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

Fields of papers citing papers by Fabio Boi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fabio Boi

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

All Works

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20 of 20 papers shown

Angotzi, Gian Nicola, Mihály Vöröslakos, J. F. Ribeiro, et al.. (2025). Multi‐Shank 1024 Channels Active SiNAPS Probe for Large Multi‐Regional Topographical Electrophysiological Mapping of Neural Dynamics. Advanced Science. 12(16). e2416239–e2416239. 5 indexed citations

Ribeiro, J. F., et al.. (2023). Impact of Tip Size and Shape on the Insertion Force of Implantable CMOS Neural Probes. 1–4. 4 indexed citations

Boi, Fabio, Olga Barca‐Mayo, Davide De Pietri Tonelli, et al.. (2022). Glial Bmal1 role in mammalian retina daily changes. Scientific Reports. 12(1). 21561–21561. 8 indexed citations

Ribeiro, J. F., et al.. (2022). Channels, Layout and Size Scalability of Implantable CMOS-Based Multielectrode Array Probes. 2022 International Electron Devices Meeting (IEDM). 29.6.1–29.6.4. 5 indexed citations

Ribeiro, J. F., Fabio Boi, Aziliz Lecomte, Gian Nicola Angotzi, & Luca Berdondini. (2021). Bioelectrodes for high-channel count and small form factor CMOS neural probes. 388–391. 9 indexed citations

Boi, Fabio, et al.. (2021). Coupling SiNAPS High-density Neural Recording CMOS-Probes with Optogenetic Light Stimulation. 1–4. 4 indexed citations

Boi, Fabio, et al.. (2019). Investigating the Effects of Mechanical Stimulation on Retinal Ganglion Cell Spontaneous Spiking Activity. Frontiers in Neuroscience. 13. 1023–1023. 11 indexed citations

Amin, Hayder, et al.. (2019). Active High-Density Electrode Arrays: Technology and Applications in Neuronal Cell Cultures. Advances in neurobiology. 22. 253–273. 5 indexed citations

Boi, Fabio, et al.. (2019). A Closed-Loop System Processing High-Density Electrical Recordings and Visual Stimuli to Study Retinal Circuits Properties. UNICA IRIS Institutional Research Information System (University of Cagliari). 12. 652–656. 1 indexed citations

10.

Angotzi, Gian Nicola, et al.. (2018). Exploiting All Programmable SoCs in Neural Signal Analysis: A Closed-Loop Control for Large-Scale CMOS Multielectrode Arrays. IEEE Transactions on Biomedical Circuits and Systems. 12(4). 839–850. 14 indexed citations

11.

Angotzi, Gian Nicola, Fabio Boi, Aziliz Lecomte, et al.. (2018). SiNAPS: An implantable active pixel sensor CMOS-probe for simultaneous large-scale neural recordings. Biosensors and Bioelectronics. 126. 355–364. 117 indexed citations

12.

Angotzi, Gian Nicola, Fabio Boi, Ermanno Miele, Aziliz Lecomte, & Luca Berdondini. (2018). A versatile technology approach for high-resolution implantable CMOS-probes. Frontiers in Cellular Neuroscience. 12. 1 indexed citations

13.

Angotzi, Gian Nicola, Mario Malerba, Alessandro Maccione, et al.. (2017). A high temporal resolution multiscale recording system for in vivo neural studies. 1–4. 7 indexed citations

14.

Feo, Vito De, Fabio Boi, Houman Safaai, et al.. (2017). State-Dependent Decoding Algorithms Improve the Performance of a Bidirectional BMI in Anesthetized Rats. Frontiers in Neuroscience. 11. 269–269. 1 indexed citations

15.

Boi, Fabio, Timoleon Moraitis, Vito De Feo, et al.. (2016). A Bidirectional Brain-Machine Interface Featuring a Neuromorphic Hardware Decoder. Frontiers in Neuroscience. 10. 563–563. 58 indexed citations

16.

Semprini, Marianna, Fabio Boi, Valter Tucci, & Alessandro Vato. (2016). A study on the effect of multisensory stimulation in behaving rats. PubMed. 2016. 4707–4710. 1 indexed citations

17.

Boi, Fabio, et al.. (2015). A bidirectional brain-machine interface connecting alert rodents to a dynamical system. PubMed. 2015. 51–4. 7 indexed citations

18.

Angotzi, Gian Nicola, et al.. (2014). A programmable closed-loop recording and stimulating wireless system for behaving small laboratory animals. Scientific Reports. 4(1). 5963–5963. 27 indexed citations

19.

Angotzi, Gian Nicola, et al.. (2013). A compact wireless multi-channel system for real-time intracortical microstimulation of behaving rodents. CINECA IRIS Institutial Research Information System (University of Genoa). 1009–1012. 1 indexed citations

20.

Boi, Fabio, et al.. (2011). A Support Vector Machines network for traffic sign recognition. 20 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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