Luca Biggio

451 total citations · 1 hit paper
8 papers, 222 citations indexed

About

Luca Biggio is a scholar working on Control and Systems Engineering, Artificial Intelligence and Instrumentation. According to data from OpenAlex, Luca Biggio has authored 8 papers receiving a total of 222 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Control and Systems Engineering, 3 papers in Artificial Intelligence and 2 papers in Instrumentation. Recurrent topics in Luca Biggio's work include Astronomical Observations and Instrumentation (2 papers), Astronomy and Astrophysical Research (2 papers) and Fault Detection and Control Systems (2 papers). Luca Biggio is often cited by papers focused on Astronomical Observations and Instrumentation (2 papers), Astronomy and Astrophysical Research (2 papers) and Fault Detection and Control Systems (2 papers). Luca Biggio collaborates with scholars based in Switzerland, United States and Italy. Luca Biggio's co-authors include Olga Fink, Yan Wang, Venkat Pavan Nemani, Anh Tran, Chao Hu, Xiaoge Zhang, Xun Huan, Zhen Hu, Manuel Arias Chao and Chetan S. Kulkarni and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied Energy and Monthly Notices of the Royal Astronomical Society.

In The Last Decade

Luca Biggio

8 papers receiving 213 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.

Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial

2023 103 citations Venkat Pavan Nemani, Luca Biggio et al. Mechanical Systems and Signal Processing profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Luca Biggio Switzerland	5	103	42	32	31	27	8	222
Kavindu Ranasinghe Australia	6	45 0.4×	21 0.5×	40 1.3×	31 1.0×	29 1.1×	12	268
Ana María Peco Chacón Spain	6	108 1.0×	22 0.5×	61 1.9×	13 0.4×	52 1.9×	8	258
Marcin Pazera Poland	10	230 2.2×	43 1.0×	34 1.1×	20 0.6×	26 1.0×	42	323
Xisheng Jia China	9	143 1.4×	22 0.5×	69 2.2×	7 0.2×	20 0.7×	25	197
Linyu Lin United States	9	108 1.0×	31 0.7×	31 1.0×	6 0.2×	19 0.7×	33	272
Phuong Nguyen Thanh Vietnam	11	122 1.2×	39 0.9×	19 0.6×	5 0.2×	125 4.6×	34	287
Ioanna Aslanidou Sweden	10	53 0.5×	13 0.3×	109 3.4×	21 0.7×	26 1.0×	39	334
Matheus Araújo Marins Brazil	4	102 1.0×	53 1.3×	38 1.2×	6 0.2×	11 0.4×	5	196
Christopher Vermillion United States	10	70 0.7×	38 0.9×	17 0.5×	19 0.6×	43 1.6×	38	293

Countries citing papers authored by Luca Biggio

Since Specialization

Citations

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

Fields of papers citing papers by Luca Biggio

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luca Biggio

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

All Works

Sort: Min cites: Since: Top N: Style:

8 of 8 papers shown

1.

Biggio, Luca, et al.. (2024). GEMTELLIGENCE: Accelerating gemstone classification with deep learning. SHILAP Revista de lepidopterología. 3(1). 110–110. 3 indexed citations

2.

Bonici, Marco, Luca Biggio, C. Carbone, & L. Guzzo. (2024). Fast emulation of two-point angular statistics for photometric galaxy surveys. Monthly Notices of the Royal Astronomical Society. 531(4). 4203–4211. 4 indexed citations

3.

Biggio, Luca, Han Wang, A. Galan, et al.. (2023). Accelerating galaxy dynamical modeling using a neural network for joint lensing and kinematic analyses. Astronomy and Astrophysics. 679. A59–A59. 3 indexed citations

4.

Nemani, Venkat Pavan, Luca Biggio, Xun Huan, et al.. (2023). Uncertainty quantification in machine learning for engineering design and health prognostics: A tutorial. Mechanical Systems and Signal Processing. 205. 110796–110796. 103 indexed citations breakdown →

5.

Biggio, Luca, et al.. (2023). Ageing-aware battery discharge prediction with deep learning. Applied Energy. 346. 121229–121229. 21 indexed citations

6.

Biggio, Luca, et al.. (2023). On the effectiveness of Randomized Signatures as Reservoir for Learning Rough Dynamics. 1–8. 5 indexed citations

7.

Biggio, Luca, et al.. (2021). Uncertainty-Aware Prognosis via Deep Gaussian Process. IEEE Access. 9. 123517–123527. 30 indexed citations

8.

Biggio, Luca, et al.. (2020). Prognostics and Health Management of Industrial Assets: Current Progress and Road Ahead. Frontiers in Artificial Intelligence. 3. 578613–578613. 53 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