D. Badoni

1.6k total citations
42 papers, 763 citations indexed

About

D. Badoni is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience and Nuclear and High Energy Physics. According to data from OpenAlex, D. Badoni has authored 42 papers receiving a total of 763 indexed citations (citations by other indexed papers that have themselves been cited), including 23 papers in Electrical and Electronic Engineering, 13 papers in Cognitive Neuroscience and 11 papers in Nuclear and High Energy Physics. Recurrent topics in D. Badoni's work include Advanced Memory and Neural Computing (14 papers), Neural dynamics and brain function (13 papers) and Neuroscience and Neural Engineering (9 papers). D. Badoni is often cited by papers focused on Advanced Memory and Neural Computing (14 papers), Neural dynamics and brain function (13 papers) and Neuroscience and Neural Engineering (9 papers). D. Badoni collaborates with scholars based in Italy, Germany and Switzerland. D. Badoni's co-authors include Stefano Fusi, Daniel J. Amit, Vittorio Dante, Paolo Del Giudice, Á. Salamon, Mario Annunziato, G. Salina, Diogo Boito, J. Bernabéu and D. Babusci and has published in prestigious journals such as Physical Review Letters, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

D. Badoni

39 papers receiving 732 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
D. Badoni Italy	14	453	337	283	143	131	42	763
Valeriy I. Sbitnev Russia	14	328 0.7×	237 0.7×	170 0.6×	11 0.1×	92 0.7×	45	797
Fernando Montani Argentina	17	68 0.2×	445 1.3×	173 0.6×	36 0.3×	98 0.7×	42	598
G. Salina Italy	10	180 0.4×	131 0.4×	103 0.4×	163 1.1×	70 0.5×	42	535
D. Amit Israel	4	231 0.5×	758 2.2×	353 1.2×	46 0.3×	112 0.9×	7	884
J. Pine United States	14	136 0.3×	86 0.3×	212 0.7×	394 2.8×	7 0.1×	26	699
Christine A. Donnelly United States	13	396 0.9×	47 0.1×	47 0.2×	13 0.1×	284 2.2×	19	845
M. Schwarz Germany	11	300 0.7×	31 0.1×	92 0.3×	75 0.5×	17 0.1×	89	431
Andrew D. Hibbs United States	13	104 0.2×	92 0.3×	23 0.1×	33 0.2×	15 0.1×	36	631
Pedro V. Carelli Brazil	13	70 0.2×	351 1.0×	114 0.4×	27 0.2×	40 0.3×	28	487
M.C. Vella United States	14	208 0.5×	65 0.2×	36 0.1×	144 1.0×	10 0.1×	51	514

Countries citing papers authored by D. Badoni

Since Specialization

Citations

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

Fields of papers citing papers by D. Badoni

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. Badoni

This figure shows the co-authorship network connecting the top 25 collaborators of D. Badoni. A scholar is included among the top collaborators of D. Badoni 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 D. Badoni. D. Badoni 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

Iacoangeli, F., D. Badoni, V. Bocci, et al.. (2024). Miniaturization achievements and performance enhancements in the new generations of ArduSiPM all-in-one detector technologies. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1069. 169974–169974. 1 indexed citations

Bocci, V., D. Badoni, M. Casolino, et al.. (2023). ArduSiPM technology: Compact and light All-in-one detectors for space application. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 1053. 168333–168333. 3 indexed citations

Diego, Piero, Jianping Huang, Mirko Piersanti, et al.. (2020). The Electric Field Detector on Board the China Seismo Electromagnetic Satellite—In-Orbit Results and Validation. SHILAP Revista de lepidopterología. 5(1). 1–1. 24 indexed citations

Lucci, M., V. Merlo, M. Cirillo, et al.. (2018). Engineering quantum interference. Applied Physics Letters. 113(19). 2 indexed citations

Diego, Piero, et al.. (2017). Plasma and Fields Evaluation at the Chinese Seismo-Electromagnetic Satellite for Electric Field Detector Measurements. IEEE Access. 5. 3824–3833. 11 indexed citations

Lucci, M., D. Badoni, V. Corato, et al.. (2016). 1D Josephson quantum interference grids: diffraction patterns and dynamics. Journal of Physics D Applied Physics. 49(6). 65303–65303. 3 indexed citations

Badoni, D., et al.. (2016). An Electric Field Detector for high-performance measurements of the electric field in the ionosphere. Proceedings of The 34th International Cosmic Ray Conference — PoS(ICRC2015). 588–588. 2 indexed citations

Lucci, M., D. Badoni, V. Merlo, et al.. (2015). Experimental Study of Spectral Properties of a Frenkel-Kontorova System. Physical Review Letters. 115(10). 107002–107002. 9 indexed citations

Badoni, D., M. Bizzarri, Vincenzo Bonaiuto, et al.. (2014). Use of FPGA embedded processors for fast cluster reconstruction in the NA62 liquid krypton electromagnetic calorimeter. Journal of Instrumentation. 9(1). C01010–C01010. 3 indexed citations

10.

Badoni, D., F. Gonnella, R. Messi, & D. Moricciani. (2012). A CMOS front-end for MPPC-based detectors aimed to TOF applications with fast discriminator, adjustable arming threshold and constant-fraction functionality. Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment. 718. 189–191.

11.

Bernabéu, J., Diogo Boito, D. Babusci, & D. Badoni. (2010). Physics with the KLOE-2 experiment at the upgraded DAFNE. RECERCAT (Consorci de Serveis Universitaris de Catalunya). 89 indexed citations

12.

Pannunzi, Mario, et al.. (2009). Classification of Correlated Patterns with a Configurable Analog VLSI Neural Network of Spiking Neurons and Self-Regulating Plastic Synapses. Neural Computation. 21(11). 3106–3129. 20 indexed citations

13.

Camilleri, Patrick, Vittorio Dante, D. Badoni, et al.. (2008). A VLSI network of spiking neurons with plastic fully configurable “stop-learning” synapses. Zurich Open Repository and Archive (University of Zurich). 678–681. 24 indexed citations

14.

Pannunzi, Mario, et al.. (2007). A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses. Neural Information Processing Systems. 20. 545–552. 1 indexed citations

15.

Pannunzi, Mario, et al.. (2007). A configurable analog VLSI neural network with spiking neurons and self-regulating plastic synapses which classifies overlapping patterns. neural information processing systems. 545–552. 1 indexed citations

16.

Badoni, D., et al.. (2006). An aVLSI recurrent network of spiking neurons with reconfigurable and plastic synapses. 97. 4–4. 32 indexed citations

17.

Chicca, Elisabetta, D. Badoni, Vittorio Dante, et al.. (2003). A vlsi recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory. IEEE Transactions on Neural Networks. 14(5). 1297–1307. 157 indexed citations

18.

Giudice, Paolo Del, Stefano Fusi, D. Badoni, Vittorio Dante, & D. Amit. (1998). Learning attractors in an asynchronous, stochastic electronic neural network. Network Computation in Neural Systems. 9(2). 183–205. 7 indexed citations

19.

Giudice, Paolo Del, Stefano Fusi, D. Badoni, Vittorio Dante, & D J Amit. (1998). Learning attractors in an asynchronous, stochastic electronic neural network. Network Computation in Neural Systems. 9(2). 183–205. 7 indexed citations

20.

Badoni, D., et al.. (1995). <title>LANN27: an electronic implementation of an analog attractor neural network with stochastic learning</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 2492. 1206–1217. 4 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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