Mario Simoni

34 papers receiving 342 citations

Peers

Mario Simoni
Comparison fields: 5 of 51
  • Architecture 29
  • Cognitive Neuroscience 166
  • Cellular and Molecular Neuroscience 120
  • Statistical and Nonlinear Physics 75
  • Media Technology 52
Replace A.L. Fitch with:
A.L. Fitch Australia
Noëlle Lewis France
Lorenz K. Müller Switzerland
Chang-Woo Shin South Korea
Montri Phothisonothai Thailand
Min-Woo Kwon South Korea
Stephen Nease United States
Zubaer Ibna Mannan South Korea
Francesca Camera Italy
Ryosuke Hosaka Japan
Mario Simoni relative to A.L. Fitch Australia A.L. Fitch's profile →
Citations per field
00.5×7.4×
A.L. Fitch · 1×
Citations per year

Countries citing papers authored by Mario Simoni

Since Specialization
Citations

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

Fields of papers citing papers by Mario Simoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 36 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004109
2 199943
3 200731
4 198525
5 199717
6 201115
7 200614
8 201610
9
Development of Hybrid Systems: Interfacing a Silicon Neuron to a Leech Heart Interneuron.
20008
10 20028
11 20027
12 20166
13 20116
14 19986
15 20075
16 20155
17 20235
18
Evaluating the Symbiosis of DyKnow Software and Pen-Based Computing in the Rose-Hulman Classroom
20075
19 20204
20 20204

About Mario Simoni

Mario Simoni is a scholar working on Media Technology, Architecture, Cognitive Neuroscience, Electrical and Electronic Engineering and Artificial Intelligence, having authored 36 papers that have together received 365 indexed citations. Recurring topics across this work include Experimental Learning in Engineering (15 papers), Engineering Education and Pedagogy (11 papers), Neural dynamics and brain function (9 papers), Advanced Memory and Neural Computing (6 papers), Quantum Computing Algorithms and Architecture (5 papers), Mechatronics Education and Applications (5 papers), Innovative Teaching Methods (4 papers) and Neuroscience and Neural Engineering (4 papers). The work is most often cited by research in Architecture (29 citations), Cognitive Neuroscience (166 citations), Cellular and Molecular Neuroscience (120 citations), Statistical and Nonlinear Physics (75 citations) and Media Technology (52 citations). Mario Simoni has collaborated with scholars based in United States, Italy and Netherlands. Frequent co-authors include Stephen P. DeWeerth, Gennady Cymbalyuk, Maurice F. Aburdene, O Leopardi, Mariagrazia Graziano, Ronald L. Calabrese, Giovanna Turvani, Julia Williams, Bruce Ferguson and Rebecca DeVasher. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Neurocomputing, IEEE Transactions on Neural Systems and Rehabilitation Engineering, IEEE Signal Processing Magazine and Optical and Quantum Electronics.

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