Fernando di Sciascio
Impact in
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- Advanced Control Systems Optimization
- Fault Detection and Control Systems
- Control and Dynamics of Mobile Robots
- Adaptive Control of Nonlinear Systems
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- Robotic Path Planning Algorithms
Papers in
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- Advanced Control Systems Optimization 18
- Fault Detection and Control Systems 10
- Control and Dynamics of Mobile Robots 5
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- Robotic Path Planning Algorithms 8
- Co-authors
- Gustavo Juan Eduardo Scaglia (12 shared papers)Vicente Antonio MUt (8 shared papers)Andrés Rosales (4 shared papers)Ricardo Carelli (10 shared papers)Carlos Miguel Soria (2 shared papers)Hernán Álvarez (7 shared papers)Juan Marcos Toibero (4 shared papers)Max E. Valentinuzzi (1 shared paper)
In The Last Decade
Fernando di Sciascio
41 papers receiving 485 citations
Peers
Comparison fields: 5 of 69
- Control and Systems Engineering 263
- Computer Vision and Pattern Recognition 103
- Cognitive Neuroscience 68
- Human-Computer Interaction 17
- Biomedical Engineering 114
Countries citing papers authored by Fernando di Sciascio
This map shows the geographic impact of Fernando di Sciascio'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 Fernando di Sciascio with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando di Sciascio more than expected).
Fields of papers citing papers by Fernando di Sciascio
This network shows the impact of papers produced by Fernando di Sciascio. 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 Fernando di Sciascio. The network helps show where Fernando di Sciascio may publish in the future.
Co-authors
The 19 scholars most cited alongside Fernando di Sciascio, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 61 | |
| 2 | 2008 | 43 | |
| 3 | 2009 | 37 | |
| 4 | 2010 | 36 | |
| 5 | 2012 | 33 | |
| 6 | 2009 | 25 | |
| 7 | 2010 | 21 | |
| 8 | 2015 | 20 | |
| 9 | 2009 | 18 | |
| 10 | 2001 | 16 | |
| 11 | 2008 | 14 | |
| 12 | 2018 | 13 | |
| 13 | 2008 | 12 | |
| 14 | 2010 | 11 | |
| 15 | 2013 | 10 | |
| 16 | 2010 | 10 | |
| 17 | 2016 | 10 | |
| 18 | 2024 | 9 | |
| 19 | 2011 | 8 | |
| 20 | 2015 | 8 |
About Fernando di Sciascio
Fernando di Sciascio is a scholar working on Control and Systems Engineering, Computer Vision and Pattern Recognition, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Physical and Theoretical Chemistry, having authored 46 papers that have together received 505 indexed citations. Recurring topics across this work include Advanced Control Systems Optimization (18 papers), Fault Detection and Control Systems (10 papers), Robotic Path Planning Algorithms (8 papers), Neuroscience and Neural Engineering (7 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), Muscle activation and electromyography studies (6 papers), EEG and Brain-Computer Interfaces (5 papers) and Control and Dynamics of Mobile Robots (5 papers). The work is most often cited by research in Control and Systems Engineering (263 citations), Computer Vision and Pattern Recognition (103 citations), Cognitive Neuroscience (68 citations), Human-Computer Interaction (17 citations) and Biomedical Engineering (114 citations). Fernando di Sciascio has collaborated with scholars based in Argentina, Colombia and Brazil. Frequent co-authors include Gustavo Juan Eduardo Scaglia, Vicente Antonio MUt, Andrés Rosales, Ricardo Carelli, Carlos Miguel Soria, Hernán Álvarez, Juan Marcos Toibero, Max E. Valentinuzzi, Fernando Auat Cheein and Javier Giménez. Their work appears in journals such as Robotica, Ecological Modelling, Computers & Chemical Engineering, Biomedical Signal Processing and Control and BioResources.
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.