E. Feltresi

22.4k total citations
6 papers, 47 citations indexed

About

E. Feltresi is a scholar working on Control and Systems Engineering, Mechanics of Materials and Artificial Intelligence. According to data from OpenAlex, E. Feltresi has authored 6 papers receiving a total of 47 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Control and Systems Engineering, 3 papers in Mechanics of Materials and 3 papers in Artificial Intelligence. Recurrent topics in E. Feltresi's work include Fault Detection and Control Systems (5 papers), Flow Measurement and Analysis (3 papers) and Anomaly Detection Techniques and Applications (3 papers). E. Feltresi is often cited by papers focused on Fault Detection and Control Systems (5 papers), Flow Measurement and Analysis (3 papers) and Anomaly Detection Techniques and Applications (3 papers). E. Feltresi collaborates with scholars based in Italy, Brunei and Germany. E. Feltresi's co-authors include Gian Antonio Susto, A. Petzold, R. J. Barlow, Daniel Smith, E. Luppi, D. Tescaro, F. F. Wilson, D. Andreotti, A. Forti and M. Kelly and has published in prestigious journals such as Energies, IFAC-PapersOnLine and Informatics.

In The Last Decade

E. Feltresi

6 papers receiving 46 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. Feltresi Italy 4 17 16 16 9 9 6 47
J. S. Huang China 2 13 0.8× 9 0.6× 4 0.3× 5 0.6× 5 0.6× 5 62
Sebastian Nixon Italy 3 16 0.9× 5 0.3× 5 0.3× 3 0.3× 2 0.2× 5 67
S. B. Liu China 6 6 0.4× 16 1.0× 16 1.0× 9 1.0× 4 0.4× 15 49
Anthony L. Caterini United Kingdom 2 34 2.0× 18 1.1× 4 0.3× 3 0.3× 11 1.2× 3 80
Simón C. Smith United Kingdom 5 24 1.4× 8 0.5× 2 0.1× 3 0.3× 6 0.7× 15 73
Arto Niemi Germany 6 4 0.2× 12 0.8× 3 0.2× 11 1.2× 9 1.0× 22 68
Lianguo Wang China 6 21 1.2× 11 0.7× 1 0.1× 8 0.9× 14 1.6× 14 70
Nikhil Kumar United States 6 19 1.1× 27 1.7× 2 0.1× 4 0.4× 3 0.3× 13 126
Sabari Nathan India 6 5 0.3× 4 0.3× 4 0.3× 3 0.3× 4 0.4× 17 80
Jiarun Lin China 2 26 1.5× 7 0.4× 2 0.1× 4 0.4× 1 0.1× 3 40

Countries citing papers authored by E. Feltresi

Since Specialization
Citations

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

Fields of papers citing papers by E. Feltresi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. Feltresi

This figure shows the co-authorship network connecting the top 25 collaborators of E. Feltresi. A scholar is included among the top collaborators of E. Feltresi 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 E. Feltresi. E. Feltresi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

6 of 6 papers shown
1.
Susto, Gian Antonio, et al.. (2021). Uncertainty Estimation for Machine Learning Models in Multiphase Flow Applications. Informatics. 8(3). 58–58. 6 indexed citations
2.
Feltresi, E., et al.. (2020). A Machine Learning-Based System for Self-Diagnosis Multiphase Flow Meters. International Petroleum Technology Conference. 3 indexed citations
3.
Feltresi, E., et al.. (2020). Self-Diagnosis of Multiphase Flow Meters through Machine Learning-Based Anomaly Detection. Energies. 13(12). 3136–3136. 24 indexed citations
4.
Feltresi, E., et al.. (2020). Sensor Fusion and Machine Learning Techniques to Improve Water Cut Measurements Accuracy In Multiphase Application. SPE Annual Technical Conference and Exhibition. 1 indexed citations
5.
Feltresi, E., et al.. (2019). Machine Learning approaches for Anomaly Detection in Multiphase Flow Meters. IFAC-PapersOnLine. 52(11). 212–217. 11 indexed citations
6.
Adye, T., C. Brew, F. F. Wilson, et al.. (2005). Grid applications for high energy physics experiments. Institutional Research Information System University of Ferrara (University of Ferrara). 4 pp.–4 pp.. 2 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.

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