Alessandro Maccione

2.8k citations
56 papers · 1.9k indexed · h-index 22

Alessandro Maccione

56 papers receiving 1.9k citations

Peers

Alessandro Maccione
Comparison fields: 5 of 106
  • Cellular and Molecular Neuroscience 1.5k
  • Cognitive Neuroscience 1.0k
  • Electrochemistry 119
  • Biophysics 72
  • Biomedical Engineering 447
Replace Paolo Massobrio with:
Paolo Massobrio Italy
Mariateresa Tedesco Italy
Douglas J. Bakkum Switzerland
Yasuhiko Jimbo Japan
Ulrich Egert Germany
Luca Berdondini Italy
Günther Zeck Germany
Jerome Pine United States
Jan Müller Switzerland
Miloš Radivojević Switzerland
Alessandro Maccione relative to Paolo Massobrio Italy Paolo Massobrio's profile →
Citations per field
00.5×1.5×1.9×
Paolo Massobrio · 1×
Citations per year

Countries citing papers authored by Alessandro Maccione

Since Specialization
Citations

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

Fields of papers citing papers by Alessandro Maccione

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Alessandro Maccione, 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 Alessandro Maccione Line = papers co-authored together Alessandro Maccione links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20234
2 20214
3 202015
4 201911
5 201815
6 20185
7 20177
8 201784
9 201684
10 201522
11 20142
12 20147
13 201246
14 201290
15 201273
16 201116
17 2010105
18 2009261
19 2008172
20 2008105

About Alessandro Maccione

Alessandro Maccione is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Electrochemistry, having authored 56 papers that have together received 1.9k indexed citations. Recurring topics across this work include Neuroscience and Neural Engineering (53 papers), Neural dynamics and brain function (41 papers), Advanced Memory and Neural Computing (19 papers), Photoreceptor and optogenetics research (9 papers), EEG and Brain-Computer Interfaces (8 papers), Electrochemical Analysis and Applications (8 papers), Retinal Development and Disorders (4 papers) and 3D Printing in Biomedical Research (4 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (1.5k citations), Cognitive Neuroscience (1.0k citations) and Electrochemistry (119 citations). Alessandro Maccione has collaborated with scholars based in Italy, United Kingdom and Switzerland. Frequent co-authors include Luca Berdondini, Sérgio Martinoia, Thierry Nieus, Kilian Imfeld, M. Koudelka‐Hep, Hayder Amin, Mauro Gandolfo, Michela Chiappalone, Simon Neukom and Mariateresa Tedesco. Their work appears in journals such as Scientific Reports, BMC Neuroscience, The Journal of Physiology, Frontiers in Neuroscience and International Journal of Adaptive Control and Signal Processing.

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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