D. Badoni

39 papers receiving 732 citations

Peers

D. Badoni
Comparison fields: 5 of 57
  • Cognitive Neuroscience 337
  • Cellular and Molecular Neuroscience 283
  • Nuclear and High Energy Physics 143
  • Electrical and Electronic Engineering 453
  • Condensed Matter Physics 51
Replace Fernando Montani with:
Fernando Montani Argentina
Valeriy I. Sbitnev Russia
G. Salina Italy
J. Pine United States
D. Amit Israel
Andrew D. Hibbs United States
M. Schwarz Germany
Christine A. Donnelly United States
Pedro V. Carelli Brazil
M.C. Vella United States
D. Badoni relative to Fernando Montani Argentina Fernando Montani's profile →
Citations per field
00.5×6.7×
Fernando Montani · 1×
Citations per year

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-authors

The 25 scholars most cited alongside D. Badoni, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with D. Badoni Line = papers co-authored together D. Badoni links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 42 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000174
2 2003157
3
Physics with the KLOE-2 experiment at the upgraded DAFNE
201089
4 199538
5 200632
6 202024
7 200824
8 199324
9 200920
10 200920
11 200719
12 199317
13 199317
14 201813
15 201711
16 20159
17 19987
18 19987
19 20077
20 20167

About D. Badoni

D. Badoni is a scholar working on Electrical and Electronic Engineering, Cognitive Neuroscience, Nuclear and High Energy Physics, Cellular and Molecular Neuroscience and Artificial Intelligence, having authored 42 papers that have together received 763 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (14 papers), Neural dynamics and brain function (13 papers), Neuroscience and Neural Engineering (9 papers), Particle Detector Development and Performance (7 papers), Particle physics theoretical and experimental studies (7 papers), Neural Networks and Applications (6 papers), Earthquake Detection and Analysis (6 papers) and Radiation Detection and Scintillator Technologies (5 papers). The work is most often cited by research in Cognitive Neuroscience (337 citations), Cellular and Molecular Neuroscience (283 citations), Nuclear and High Energy Physics (143 citations), Electrical and Electronic Engineering (453 citations) and Condensed Matter Physics (51 citations). D. Badoni has collaborated with scholars based in Italy, Germany and Switzerland. Frequent co-authors include Stefano Fusi, Daniel J. Amit, Paolo Del Giudice, Vittorio Dante, Á. Salamon, Mario Annunziato, G. Salina, D. Babusci, Diogo Boito and J. Bernabéu. Their work appears in journals such as Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment, Network Computation in Neural Systems, Neural Computation, Physics Letters B and Journal of Instrumentation.

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.

Explore authors with similar magnitude of impact