Mario Simoni

31 papers receiving 302 citations

Peers

Mario Simoni
Comparison fields: 5 of 42
  • Architecture 29
  • Cognitive Neuroscience 155
  • Cellular and Molecular Neuroscience 114
  • Media Technology 51
  • Statistical and Nonlinear Physics 71
Replace Adrian Whatley with:
Adrian Whatley Switzerland
A.L. Fitch Australia
Lorenz K. Müller Switzerland
Shubha Ramakrishnan United States
Stephen Brink United States
Chang-Woo Shin South Korea
E.M. Drakakis United Kingdom
Min-Woo Kwon South Korea
Alireza Moini Australia
Stephen Nease United States
Mario Simoni relative to Adrian Whatley Switzerland Adrian Whatley's profile →
Citations per field
00.5×10×14.2×
Adrian Whatley · 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 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004107
2 199941
3 200728
4 199716
5 201115
6 200614
7 201610
8 20028
9
Development of Hybrid Systems: Interfacing a Silicon Neuron to a Leech Heart Interneuron.
20007
10 20166
11 20026
12 20116
13 20155
14
Evaluating the Symbiosis of DyKnow Software and Pen-Based Computing in the Rose-Hulman Classroom
20075
15 20074
16 20204
17 20134
18 20204
19 20234
20 20203

About Mario Simoni

Mario Simoni is a scholar working on Media Technology, Architecture, Cognitive Neuroscience, Electrical and Electronic Engineering and Mechanical Engineering, having authored 34 papers that have together received 320 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 (8 papers), Mechatronics Education and Applications (5 papers), Quantum Computing Algorithms and Architecture (5 papers), Advanced Memory and Neural Computing (5 papers), Neuroscience and Neural Engineering (4 papers) and Innovative Teaching Methods (4 papers). The work is most often cited by research in Architecture (29 citations), Cognitive Neuroscience (155 citations), Cellular and Molecular Neuroscience (114 citations), Media Technology (51 citations) and Statistical and Nonlinear Physics (71 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, Giovanna Turvani, Mariagrazia Graziano, Bruce Ferguson, William D. Schindel, D.E. Schimmel, William Kline and Sudipa Mitra-Kirtley. Their work appears in journals such as IEEE Transactions on Biomedical Engineering, Optical and Quantum Electronics, Quantum Information Processing, IEEE Signal Processing Magazine and IEEE Access.

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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