Giorgio Russolillo

862 total citations
11 papers, 608 citations indexed

About

Giorgio Russolillo is a scholar working on Analytical Chemistry, Industrial and Manufacturing Engineering and Statistics and Probability. According to data from OpenAlex, Giorgio Russolillo has authored 11 papers receiving a total of 608 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Analytical Chemistry, 3 papers in Industrial and Manufacturing Engineering and 3 papers in Statistics and Probability. Recurrent topics in Giorgio Russolillo's work include Spectroscopy and Chemometric Analyses (5 papers), Advanced Statistical Methods and Models (3 papers) and Water Quality Monitoring and Analysis (3 papers). Giorgio Russolillo is often cited by papers focused on Spectroscopy and Chemometric Analyses (5 papers), Advanced Statistical Methods and Models (3 papers) and Water Quality Monitoring and Analysis (3 papers). Giorgio Russolillo collaborates with scholars based in France, United States and Italy. Giorgio Russolillo's co-authors include Vincenzo Esposito Vinzi, Laura Trinchera, Hervé Abdi, Bianca Fontanella, Germana Meroni, Gopuraja Dharmalingam, Vincenzo A. Gennarino, Pasquale Verde, Sandro Banfi and Gastón Sánchez and has published in prestigious journals such as Genome Research, Human Mutation and Wiley Interdisciplinary Reviews Computational Statistics.

In The Last Decade

Giorgio Russolillo

11 papers receiving 595 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Giorgio Russolillo France	6	192	115	56	46	45	11	608
Yijing Wang China	24	587 3.1×	86 0.7×	61 1.1×	45 1.0×	156 3.5×	87	1.5k
Lijia Wang China	18	511 2.7×	354 3.1×	45 0.8×	15 0.3×	24 0.5×	50	1.3k
Nan Zhou China	11	127 0.7×	35 0.3×	13 0.2×	41 0.9×	50 1.1×	35	342
Jinlan Liu China	14	125 0.7×	34 0.3×	13 0.2×	37 0.8×	16 0.4×	87	659
Muhammad Riaz Khan Pakistan	16	275 1.4×	194 1.7×	16 0.3×	48 1.0×	15 0.3×	70	790
Hiroko Nishida Japan	20	495 2.6×	62 0.5×	76 1.4×	37 0.8×	14 0.3×	65	1.3k
William J. McDonald United States	19	175 0.9×	45 0.4×	94 1.7×	97 2.1×	16 0.4×	68	1.1k
Xinxin Wang China	11	424 2.2×	70 0.6×	34 0.6×	16 0.3×	58 1.3×	34	665

Countries citing papers authored by Giorgio Russolillo

Since Specialization

Citations

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

Fields of papers citing papers by Giorgio Russolillo

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Giorgio Russolillo

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

All Works

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11 of 11 papers shown

Trinchera, Laura, et al.. (2018). Evaluating the presence of marketing capabilities: A multidimensional, hierarchical index. Recherche et Applications en Marketing (English Edition). 33(1). 30–52. 3 indexed citations

Trinchera, Laura, et al.. (2017). Evaluation de la présence des capacités marketing: Proposition d’un index multidimensionnel et hiérarchique. Recherche et Applications en Marketing (French Edition). 33(1). 31–55. 1 indexed citations

Sánchez, Gastón, Laura Trinchera, & Giorgio Russolillo. (2015). Tools for Partial Least Squares Path Modeling (PLS-PM). 40 indexed citations

Abdi, Hervé, et al.. (2013). New Perspectives in Partial Least Squares and Related Methods. Springer proceedings in mathematics & statistics. 176 indexed citations

Vinzi, Vincenzo Esposito & Giorgio Russolillo. (2012). Partial least squares algorithms and methods. Wiley Interdisciplinary Reviews Computational Statistics. 5(1). 1–19. 138 indexed citations

Gennarino, Vincenzo A., Giovanni D’Angelo, Gopuraja Dharmalingam, et al.. (2012). Identification of microRNA-regulated gene networks by expression analysis of target genes. Genome Research. 22(6). 1163–1172. 150 indexed citations

Russolillo, Giorgio. (2012). Non-Metric Partial Least Squares. Electronic Journal of Statistics. 6(none). 44 indexed citations

Russolillo, Giorgio. (2010). THE NON-METRIC PARTIAL LEAST SQUARES APPROACH. HAL (Le Centre pour la Communication Scientifique Directe). 1 indexed citations

Vinzi, Vincenzo Esposito, Giorgio Russolillo, & Laura Trinchera. (2010). An integrated PLS Regression-based approach for multidimensional blocks in PLS path modeling. 2 indexed citations

10.

Russolillo, Giorgio. (2009). Partial Least Squares Methods for Non-Metric Data. Università degli Studi di Napoli Federico II. 5 indexed citations

11.

Fontanella, Bianca, Giorgio Russolillo, & Germana Meroni. (2008). MID1 mutations in patients with X-linked Opitz G/BBB syndrome. Human Mutation. 29(5). 584–594. 48 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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