Countries citing papers authored by Pier Luca Lanzi
Since
Specialization
Citations
This map shows the geographic impact of Pier Luca Lanzi'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 Pier Luca Lanzi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pier Luca Lanzi more than expected).
This network shows the impact of papers produced by Pier Luca Lanzi. 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 Pier Luca Lanzi. The network helps show where Pier Luca Lanzi may publish in the future.
Co-authorship network of co-authors of Pier Luca Lanzi
This figure shows the co-authorship network connecting the top 25 collaborators of Pier Luca Lanzi.
A scholar is included among the top collaborators of Pier Luca Lanzi 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 Pier Luca Lanzi. Pier Luca Lanzi is excluded from
the visualization to improve readability, since they are connected to all nodes in the network.
Pirovano, Michele, Renato Mainetti, Gabriel Baud‐Bovy, Pier Luca Lanzi, & N. Alberto Borghese. (2012). Self-adaptive games for rehabilitation at home. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 179–186.80 indexed citations
5.
Krasnogor, Natalio & Pier Luca Lanzi. (2011). Proceedings of the 13th annual conference on Genetic and evolutionary computation. Genetic and Evolutionary Computation Conference.6 indexed citations
Meo, Rosa, Pier Luca Lanzi, & Mika Klemettinen. (2004). Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries (Lecture Notes in Computer Science). Springer eBooks.3 indexed citations
9.
Lanzi, Pier Luca, et al.. (2002). Advances in learning classifier systems : 4th International Workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001 : revised papers. Springer eBooks.3 indexed citations
10.
Butz, Martin V., Tim Kovacs, Pier Luca Lanzi, & Stewart W. Wilson. (2001). How XCS evolves accurate classifiers. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 927–934.34 indexed citations
11.
Miller, Julian F., Marco Tomassini, Pier Luca Lanzi, et al.. (2001). Genetic programming : 4th European conference, EuroGP 2001, Lake Como, Italy, April 18-20, 2001 : proceedings. Springer eBooks.
12.
Lanzi, Pier Luca, et al.. (2001). Advances in learning classifier systems : Third International Workshop, IWLCS 2000, Paris, France, September 15-16, 2000 : revised papers. Springer eBooks.5 indexed citations
13.
Lanzi, Pier Luca. (2001). Mining interesting knowledge from data with the XCS classifier system. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 958–965.15 indexed citations
Lanzi, Pier Luca & Marco Colombetti. (1999). An extension to the XCS classifier system for stochastic environments. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 353–360.22 indexed citations
16.
Lanzi, Pier Luca & Giuseppe Psaila. (1999). A Relational Database Mining Framework with Classification and Discretization.. SEBD. 101–115.1 indexed citations
17.
Lanzi, Pier Luca. (1999). Extending the representation of classifier conditions part I: from binary to messy coding. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 337–344.41 indexed citations
18.
Lanzi, Pier Luca, et al.. (1999). Extending the Representation of Classifier Conditions Part II: From Messy Coding to S-Expressions. Virtual Community of Pathological Anatomy (University of Castilla La Mancha). 345–352.72 indexed citations
19.
Lanzi, Pier Luca. (1998). An Analysis of the Memory Mechanism of XCSM. Virtual Community of Pathological Anatomy (University of Castilla La Mancha).13 indexed citations
20.
Lanzi, Pier Luca, et al.. (1996). Performing effective feature selection by investigating the deep structure of the data. OpenGrey (Institut de l'Information Scientifique et Technique). 379–382.17 indexed citations
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive
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research landscape, it—like all bibliographic datasets—has inherent limitations. These include
incomplete records, variations in author disambiguation, differences in journal indexing, and
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Rankless may not fully capture the entirety of a scholar's output or impact.