Fernando di Sciascio

620 total citations
43 papers, 467 citations indexed

About

Fernando di Sciascio is a scholar working on Control and Systems Engineering, Biomedical Engineering and Molecular Biology. According to data from OpenAlex, Fernando di Sciascio has authored 43 papers receiving a total of 467 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Control and Systems Engineering, 11 papers in Biomedical Engineering and 10 papers in Molecular Biology. Recurrent topics in Fernando di Sciascio's work include Advanced Control Systems Optimization (17 papers), Fault Detection and Control Systems (9 papers) and Robotic Path Planning Algorithms (8 papers). Fernando di Sciascio is often cited by papers focused on Advanced Control Systems Optimization (17 papers), Fault Detection and Control Systems (9 papers) and Robotic Path Planning Algorithms (8 papers). Fernando di Sciascio collaborates with scholars based in Argentina, Colombia and Portugal. Fernando di Sciascio's co-authors include Gustavo Scaglia, Vicente Mut, Andrés Rosales, Ricardo Carelli, Olga Lucía Quintero Montoya, Hernán Álvarez, Carlos Soria, Juan Marcos Toibero, Max E. Valentinuzzi and Fernando Auat Cheein and has published in prestigious journals such as Industrial & Engineering Chemistry Research, Ecological Modelling and Computers & Chemical Engineering.

In The Last Decade

Fernando di Sciascio

40 papers receiving 448 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Fernando di Sciascio Argentina 13 245 106 92 81 67 43 467
Chao Sun China 13 217 0.9× 33 0.3× 36 0.4× 51 0.6× 47 0.7× 43 966
Musa Alcı Türkiye 10 165 0.7× 147 1.4× 28 0.3× 24 0.3× 100 1.5× 31 446
Željko Djurović Serbia 10 160 0.7× 26 0.2× 32 0.3× 27 0.3× 221 3.3× 38 510
Indra Adji Sulistijono Indonesia 11 73 0.3× 145 1.4× 124 1.3× 11 0.1× 48 0.7× 54 498
Yonghong Huang China 14 145 0.6× 178 1.7× 26 0.3× 85 1.0× 134 2.0× 91 917
Dongfang Li China 13 181 0.7× 156 1.5× 71 0.8× 59 0.7× 5 0.1× 50 480
Akihiro Nakamura Japan 13 46 0.2× 68 0.6× 151 1.6× 34 0.4× 37 0.6× 53 477
Yan Meng China 10 73 0.3× 46 0.4× 46 0.5× 36 0.4× 16 0.2× 29 280
Toufik Bakir France 9 68 0.3× 65 0.6× 80 0.9× 14 0.2× 29 0.4× 48 298

Countries citing papers authored by Fernando di Sciascio

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Fernando di Sciascio

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando di Sciascio. A scholar is included among the top collaborators of Fernando di Sciascio based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fernando di Sciascio. Fernando di Sciascio is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Álvarez, Hernán, et al.. (2024). Interpretability in the modeling spectrum: A conceptual framework and a quantification index. Ecological Modelling. 498. 110882–110882. 2 indexed citations
2.
Sciascio, Fernando di, et al.. (2024). Crystallization Process in the Sugar Industry: A Discussion On Fundamentals, Industrial Practices, Modeling, Estimation and Control. Food Engineering Reviews. 16(3). 441–469. 5 indexed citations
3.
Álvarez, Hernán, et al.. (2023). Forecasting Lobesia botrana flight activity: A new semi-physical model. Crop Protection. 173. 106383–106383. 2 indexed citations
4.
Sciascio, Fernando di, et al.. (2021). On the use of time windows for the determination of sound strength parameter G from uncalibrated room impulse responses measurements. Applied Acoustics. 178. 108023–108023. 1 indexed citations
5.
Toibero, Juan Marcos, et al.. (2019). Continuous Probabilistic SLAM Solved via Iterated Conditional Modes. International Journal of Automation and Computing. 16(6). 838–850. 5 indexed citations
6.
Toibero, Juan Marcos, et al.. (2018). Iterated Conditional Modes to Solve Simultaneous Localization and Mapping in Markov Random Fields Context. International Journal of Automation and Computing. 15(3). 310–324. 12 indexed citations
7.
Sciascio, Fernando di, et al.. (2018). Estimation of Supersaturation in the Crystallization Process of the Sugar Industry. 1–6. 4 indexed citations
8.
Sciascio, Fernando di, et al.. (2016). Substrate Feeding Strategy Integrated with a Biomass Bayesian Estimator for a Biotechnological Process. International Journal of Chemical Reactor Engineering. 14(6). 1187–1200. 4 indexed citations
9.
10.
Sciascio, Fernando di, et al.. (2015). Bacillus thuringiensis process design using state controllability index. 12. 1–6.
11.
Cheein, Fernando Auat, Фернандо Лобо Перейра, Fernando di Sciascio, & Ricardo Carelli. (2012). Autonomous Simultaneous Localization and Mapping driven by Monte Carlo uncertainty maps-based navigation. The Knowledge Engineering Review. 28(1). 35–57. 6 indexed citations
12.
Sciascio, Fernando di, et al.. (2012). Bispectrum-based features classification for myoelectric control. Biomedical Signal Processing and Control. 8(2). 153–168. 31 indexed citations
13.
Soria, C., et al.. (2010). Surface electromyogram signals classification based on bispectrum. PubMed. 2010. 4610–4613. 3 indexed citations
14.
Sciascio, Fernando di, et al.. (2010). Multichannel surface electromyography classification based on muscular synergy. PubMed. 19. 1658–1661. 2 indexed citations
15.
Montoya, Olga Lucía Quintero, et al.. (2009). Control based on numerical methods and recursive Bayesian estimation in a continuous alcoholic fermentation process. BioResources. 4(4). 1372–1395. 17 indexed citations
16.
Sciascio, Fernando di, et al.. (2009). Robust EMG sensing system based on data fusion for myoelectric control of a robotic arm. BioMedical Engineering OnLine. 8(1). 5–5. 33 indexed citations
17.
Montoya, Olga Lucía Quintero, et al.. (2008). State estimation in alcoholic continuous fermentation of Zymomonas mobilis using recursive Bayesian filtering: A simulation approach. BioResources. 3(2). 316–334. 12 indexed citations
18.
Scaglia, Gustavo, et al.. (2008). Bio process control strategy based on numerical methods and linear algebra: second approach. 292–297. 4 indexed citations
19.
Scaglia, Gustavo, Olga Lucía Quintero Montoya, Vicente Mut, & Fernando di Sciascio. (2008). Numerical methods based controller design for mobile robots. IFAC Proceedings Volumes. 41(2). 4820–4827. 12 indexed citations
20.
Scaglia, Gustavo, et al.. (2008). Numerical methods based controller design for mobile robots. Robotica. 27(2). 269–279. 40 indexed citations

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

Breakdown of academic impact, for papers by Chao Sun Breakdown of academic impact, for papers by Musa Alcı Breakdown of academic impact, for papers by Željko Djurović Breakdown of academic impact, for papers by Indra Adji Sulistijono Breakdown of academic impact, for papers by Yonghong Huang Breakdown of academic impact, for papers by Dongfang Li Breakdown of academic impact, for papers by Akihiro Nakamura Breakdown of academic impact, for papers by Yan Meng Breakdown of academic impact, for papers by Toufik Bakir
Rankless by CCL
2026