Luigi Ippoliti

554 total citations
45 papers, 387 citations indexed

About

Luigi Ippoliti is a scholar working on Economics and Econometrics, Artificial Intelligence and Environmental Engineering. According to data from OpenAlex, Luigi Ippoliti has authored 45 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Economics and Econometrics, 13 papers in Artificial Intelligence and 13 papers in Environmental Engineering. Recurrent topics in Luigi Ippoliti's work include Spatial and Panel Data Analysis (12 papers), Soil Geostatistics and Mapping (12 papers) and Bayesian Methods and Mixture Models (7 papers). Luigi Ippoliti is often cited by papers focused on Spatial and Panel Data Analysis (12 papers), Soil Geostatistics and Mapping (12 papers) and Bayesian Methods and Mixture Models (7 papers). Luigi Ippoliti collaborates with scholars based in Italy, United Kingdom and Brazil. Luigi Ippoliti's co-authors include Lara Fontanella, Satoshi Kuwabara, Yukari Sekiguchi, Antonino Uncini, Nortina Shahrizaila, M. Caponero, C. Lupi, F. Felli, Luca Romagnoli and Marco Ciotti and has published in prestigious journals such as SHILAP Revista de lepidopterología, Biometrics and Clinical Neurophysiology.

In The Last Decade

Luigi Ippoliti

42 papers receiving 374 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luigi Ippoliti Italy 10 100 77 66 65 65 45 387
Antonio Canale Italy 12 123 1.2× 11 0.1× 12 0.2× 13 0.2× 30 0.5× 57 498
Jacques Henry France 15 36 0.4× 32 0.4× 71 1.1× 2 0.0× 18 0.3× 68 563
Emiliano Torre Germany 8 3 0.0× 62 0.8× 56 0.8× 26 0.4× 11 0.2× 12 359
Malgorzata Turalska United States 10 76 0.8× 7 0.1× 13 0.2× 1 0.0× 49 0.8× 22 378
Andrea Tateo Italy 11 7 0.1× 8 0.1× 8 0.1× 30 0.5× 11 0.2× 18 274
Robert Zinkov United States 5 3 0.0× 16 0.2× 5 0.1× 9 0.1× 23 0.4× 5 366
Jingchen Zheng China 10 28 0.3× 9 0.1× 24 0.4× 3 0.0× 4 0.1× 27 315
Francisco Guzmán United States 15 50 0.5× 36 0.5× 22 0.3× 26 0.4× 1 0.0× 53 812
Xiang Lan China 13 38 0.4× 9 0.1× 2 0.0× 19 0.3× 20 0.3× 36 499
Iñaki Soto‐Rey Germany 7 20 0.2× 6 0.1× 6 0.1× 11 0.2× 5 0.1× 28 521

Countries citing papers authored by Luigi Ippoliti

Since Specialization
Citations

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

Fields of papers citing papers by Luigi Ippoliti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luigi Ippoliti

This figure shows the co-authorship network connecting the top 25 collaborators of Luigi Ippoliti. A scholar is included among the top collaborators of Luigi Ippoliti 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 Luigi Ippoliti. Luigi Ippoliti 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.
Ignaccolo, Rosaria, et al.. (2024). Functional zoning of biodiversity profiles. Environmetrics. 36(1).
2.
Bucci, Andrea, et al.. (2023). Analysing spatiotemporal patterns of Covid-19 confirmed deaths at the NUTS-2 regional level. Regional Statistics. 13(2). 214–239. 4 indexed citations
3.
Ignaccolo, Rosaria, et al.. (2023). Penalized model-based clustering of complex functional data. Statistics and Computing. 33(6). 2 indexed citations
4.
Bucci, Andrea, et al.. (2022). Comparing unconstrained parametrization methods for return covariance matrix prediction. Statistics and Computing. 32(5). 3 indexed citations
5.
Bucci, Andrea, et al.. (2021). Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe. Spatial Statistics. 49. 100543–100543. 8 indexed citations
6.
Uncini, Antonino, Camillo Foresti, Barbara Frigeni, et al.. (2021). Electrophysiological features of acute inflammatory demyelinating polyneuropathy associated with SARS-CoV-2 infection. Neurophysiologie Clinique. 51(2). 183–191. 10 indexed citations
7.
Uncini, Antonino, Fiore Manganelli, Yukari Sekiguchi, et al.. (2020). Electrodiagnostic accuracy in polyneuropathies: supervised learning algorithms as a tool for practitioners. Neurological Sciences. 41(12). 3719–3727. 5 indexed citations
8.
Fontanella, Lara, et al.. (2019). Predictive functional ANOVA models for longitudinal analysis of mandibular shape changes. Biometrical Journal. 61(4). 918–933. 3 indexed citations
9.
Ippoliti, Luigi, Richard J. Martin, & Luca Romagnoli. (2018). Efficient likelihood computations for some multivariate Gaussian Markov random fields. Journal of Multivariate Analysis. 168. 185–200. 5 indexed citations
10.
Uncini, Antonino, Luigi Ippoliti, Nortina Shahrizaila, Yukari Sekiguchi, & Satoshi Kuwabara. (2017). Optimizing the electrodiagnostic accuracy in Guillain-Barré syndrome subtypes: Criteria sets and sparse linear discriminant analysis. Clinical Neurophysiology. 128(7). 1176–1183. 91 indexed citations
11.
Bruno, Francesca, et al.. (2016). A survey on ecological regression for health hazard associated with air pollution. Spatial Statistics. 18. 276–299. 6 indexed citations
12.
Ippoliti, Luigi, Richard J. Martin, & R. J. Bhansali. (2013). Rational spectral density models for lattice data. Spatial Statistics. 6. 91–108. 3 indexed citations
13.
Fontanella, Lara, et al.. (2008). Interpolation of spatial and spatio-temporal Gaussian fields using Gaussian Markov random fields. Advances in Data Analysis and Classification. 2(1). 63–79. 4 indexed citations
14.
Fontanella, Lara, et al.. (2007). Environmental pollution analysis by dynamic structural equation models. Environmetrics. 18(3). 265–283. 4 indexed citations
15.
Lupi, C., F. Felli, Luigi Ippoliti, et al.. (2005). Metal coating for enhancing the sensitivity of fibre Bragg grating sensors at cryogenic temperature. Smart Materials and Structures. 14(6). N71–N76. 59 indexed citations
16.
Zio, Simone Di, Lara Fontanella, & Luigi Ippoliti. (2004). Optimal spatial sampling schemes for environmental surveys. Environmental and Ecological Statistics. 11(4). 397–414. 26 indexed citations
17.
Ippoliti, Luigi, et al.. (2003). Maximum likelihood estimation of noisy Gaussian Markov random fields. 1. 85–90.
18.
Dryden, Ian L., Luigi Ippoliti, & Luca Romagnoli. (2002). Adjusted Maximum Likelihood and Pseudo-Likelihood Estimation for Noisy Gaussian Markov Random Fields. Journal of Computational and Graphical Statistics. 11(2). 370–388. 23 indexed citations
19.
Ippoliti, Luigi. (2001). On-line spatio-temporal prediction by a state space representation of the generalized space time autoregressive model. METRON. 157–169. 3 indexed citations
20.
Muzzonigro, Giovanni, et al.. (1985). Norfloxacin treatment in urinary tract infections by urease-producing bacteria accompanying renal calculi. Our experience.. PubMed. 53(4). 724–9. 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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