Davide Roverso

1.4k total citations · 1 hit paper
35 papers, 869 citations indexed

About

Davide Roverso is a scholar working on Control and Systems Engineering, Artificial Intelligence and Civil and Structural Engineering. According to data from OpenAlex, Davide Roverso has authored 35 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Control and Systems Engineering, 11 papers in Artificial Intelligence and 5 papers in Civil and Structural Engineering. Recurrent topics in Davide Roverso's work include Fault Detection and Control Systems (21 papers), Neural Networks and Applications (9 papers) and Reservoir Engineering and Simulation Methods (5 papers). Davide Roverso is often cited by papers focused on Fault Detection and Control Systems (21 papers), Neural Networks and Applications (9 papers) and Reservoir Engineering and Simulation Methods (5 papers). Davide Roverso collaborates with scholars based in Norway, Italy and United States. Davide Roverso's co-authors include Van Nhan Nguyen, Robert Jenssen, Enrico Zio, Piero Baraldi, Josef Noll, Christian Johansen, Piero Baraldi, Dan Sui, Da Ruan and Luis Pastor Sánchez Fernández and has published in prestigious journals such as Expert Systems with Applications, Information Sciences and Energies.

In The Last Decade

Davide Roverso

35 papers receiving 819 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning

2018 383 citations Van Nhan Nguyen, Robert Jenssen et al. International Journal of Electrical Power & Energy Systems profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Davide Roverso Norway	13	268	254	250	198	133	35	869
Leonardo de Mello Honório Brazil	21	304 1.1×	170 0.7×	248 1.0×	298 1.5×	97 0.7×	96	1.2k
Xiong Hu China	14	451 1.7×	217 0.9×	218 0.9×	131 0.7×	25 0.2×	78	814
Manh Duong Phung Vietnam	13	160 0.6×	68 0.3×	555 2.2×	503 2.5×	92 0.7×	40	1.0k
Helon Vicente Hultmann Ayala Brazil	17	389 1.5×	170 0.7×	132 0.5×	87 0.4×	43 0.3×	78	1.1k
Ming Lu China	19	267 1.0×	98 0.4×	111 0.4×	40 0.2×	47 0.4×	69	887
Mei Yuan China	11	666 2.5×	261 1.0×	104 0.4×	49 0.2×	42 0.3×	40	1.1k
Tuğrul Oktay Türkiye	17	439 1.6×	112 0.4×	214 0.9×	578 2.9×	40 0.3×	78	1.1k
Jacek Wodecki Poland	18	397 1.5×	463 1.8×	73 0.3×	63 0.3×	49 0.4×	68	845
Nakwan Kim South Korea	17	702 2.6×	131 0.5×	218 0.9×	329 1.7×	98 0.7×	66	1.5k
Weicun Zhang China	15	406 1.5×	79 0.3×	262 1.0×	93 0.5×	57 0.4×	102	1.0k

Countries citing papers authored by Davide Roverso

Since Specialization

Citations

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

Fields of papers citing papers by Davide Roverso

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Davide Roverso

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

All Works

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20 of 20 papers shown

Ramos, Marília, et al.. (2022). Managing Heterogeneous Datasets for Dynamic Risk Analysis of Large-Scale Infrastructures. Energies. 15(9). 3161–3161. 2 indexed citations

Johansen, Christian, et al.. (2020). A Methodology for Security Classification applied to Smart Grid Infrastructures. International Journal of Critical Infrastructure Protection. 28. 100342–100342. 49 indexed citations

Nguyen, Van Nhan, Robert Jenssen, & Davide Roverso. (2018). Automatic autonomous vision-based power line inspection: A review of current status and the potential role of deep learning. International Journal of Electrical Power & Energy Systems. 99. 107–120. 383 indexed citations breakdown →

Roverso, Davide, et al.. (2017). Graph of virtual actors (GOVA): A Big Data analytics architecture for IoT. 162–169. 4 indexed citations

Lind, Morten, et al.. (2012). Multilevel Flow Modeling for Nuclear Power Plant Diagnosis. Technical University of Denmark, DTU Orbit (Technical University of Denmark, DTU). 2350–2358. 2 indexed citations

Roverso, Davide, et al.. (2012). On-Line Fault Recognition System for the Analogic Channels of VVER 1000/400 Nuclear Reactors. IEEE Transactions on Nuclear Science. 59(2). 411–418. 3 indexed citations

Baraldi, Piero, et al.. (2011). A randomized model ensemble approach for reconstructing signals from faulty sensors. Expert Systems with Applications. 38(8). 9211–9224. 17 indexed citations

Roverso, Davide, et al.. (2010). Technical Condition Assessment and Remaining Useful Life Estimation of Choke Valves subject to Erosion. Annual Conference of the PHM Society. 2(1). 19 indexed citations

Baraldi, Piero, et al.. (2010). Two novel procedures for aggregating randomized model ensemble outcomes for robust signal reconstruction in nuclear power plants monitoring systems. Annals of Nuclear Energy. 38(2-3). 212–220. 12 indexed citations

10.

Baraldi, Piero, et al.. (2010). Robust nuclear signal reconstruction by a novel ensemble model aggregation procedure. 4(1). 32–32. 7 indexed citations

11.

Baraldi, Piero, et al.. (2009). A procedure for the reconstruction of faulty signals by means of an ensemble of regression models based on principal components analysis. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 1–12. 6 indexed citations

12.

Baraldi, Piero, et al.. (2008). RECONSTRUCTION OF FAULTY SIGNALS BY AN ENSEMBLE OF PRINCIPAL COMPONENT ANALYSIS MODELS OPTIMIZED BY A MULTI-OBJECTIVE GENETIC ALGORITHM. 933–938. 5 indexed citations

13.

Zio, Enrico, et al.. (2007). Diagnosing faults in nuclear components by an ensemble of feature-diverse fuzzy classifiers. 2(3). 224–224. 4 indexed citations

14.

Roverso, Davide, et al.. (2007). Solutions for Plant-wide On-line Calibration Monitoring. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 827–832. 14 indexed citations

15.

Roverso, Davide. (2007). Intelligent normalisation for transient classification. 2(3). 239–239. 4 indexed citations

16.

Roverso, Davide. (2003). <title>Fault diagnosis with the Aladdin transient classifier</title>. Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE. 5107. 162–172. 14 indexed citations

17.

Roverso, Davide. (2002). ARTD: Autonomous Recursive Task Decomposition for Many-Class Learning. 3 indexed citations

18.

Roverso, Davide. (2000). Multivariate Temporal Classification By Windowed Wavelet Decomposition And Recurrent Neural Networks. 13 indexed citations

19.

Roverso, Davide. (2000). Neural Ensembles for Event Identification. IFAC Proceedings Volumes. 33(11). 469–474. 8 indexed citations

20.

Roverso, Davide. (1996). Analogy Access by Mapping Spreading and Abstraction in Large, Multifunctional Knowledge Bases.. International Conference on Machine Learning. 418–426. 1 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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