Pier Luca Lanzi
- Artificial Intelligence top 0.5%
- Molecular Biology top 10%
- Information Systems top 2%
- Computer Networks and Communications top 5%
- Computer Vision and Pattern Recognition top 2%
- Co-authors
- Daniele LoiaconoStewart W. WilsonLuigi CardamoneMartin V. ButzFederico Michele FaccaDavid E. GoldbergMichele PirovanoN. Alberto Borghese
- Topics
- Evolutionary Algorithms and Applications (94 papers)Metaheuristic Optimization Algorithms Research (63 papers)Artificial Intelligence in Games (28 papers)
- Journals
- SHILAP Revista de lepidopterologíaExpert Systems with ApplicationsIEEE Access
- Partner nations
- ItalyUnited StatesUnited Kingdom
In The Last Decade
Pier Luca Lanzi
173 papers receiving 3.6k citations
Peers
Comparison fields: 5 of 142
- Artificial Intelligence 2.5k
- Molecular Biology 755
- Information Systems 451
- Computer Networks and Communications 387
- Computer Vision and Pattern Recognition 371
Countries citing papers authored by Pier Luca Lanzi
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).
Fields of papers citing papers by Pier Luca Lanzi
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.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 3 | |
| 3 | 57 | |
| 4 | 68 | |
| 5 | 80 | |
| 6 | Proceedings of the 13th annual conference on Genetic and evolutionary computation | 6 |
| 7 | 4 | |
| 8 | Database Support for Data Mining Applications: Discovering Knowledge with Inductive Queries (Lecture Notes in Computer Science) | 3 |
| 9 | Advances in learning classifier systems : 4th International Workshop, IWLCS 2001, San Francisco, CA, USA, July 7-8, 2001 : revised papers | 3 |
| 10 | Advances in learning classifier systems : Third International Workshop, IWLCS 2000, Paris, France, September 15-16, 2000 : revised papers | 5 |
| 11 | Genetic programming : 4th European conference, EuroGP 2001, Lake Como, Italy, April 18-20, 2001 : proceedings | 0 |
| 12 | Mining interesting knowledge from data with the XCS classifier system | 15 |
| 13 | How XCS evolves accurate classifiers | 34 |
| 14 | 24 | |
| 15 | Extending the representation of classifier conditions part I: from binary to messy coding | 41 |
| 16 | An extension to the XCS classifier system for stochastic environments | 22 |
| 17 | A Relational Database Mining Framework with Classification and Discretization. | 1 |
| 18 | Extending the Representation of Classifier Conditions Part II: From Messy Coding to S-Expressions | 72 |
| 19 | An Analysis of the Memory Mechanism of XCSM | 13 |
| 20 | Performing effective feature selection by investigating the deep structure of the data | 17 |
About Pier Luca Lanzi
Pier Luca Lanzi is a scholar working on Artificial Intelligence, Human-Computer Interaction and Hardware and Architecture, having authored 176 papers that have together received 3.8k indexed citations. Recurring topics across this work include Evolutionary Algorithms and Applications (94 papers), Metaheuristic Optimization Algorithms Research (63 papers) and Artificial Intelligence in Games (28 papers). The work is most often cited by research in Artificial Intelligence (2.5k citations), Rehabilitation (199 citations) and Hardware and Architecture (182 citations). Pier Luca Lanzi has collaborated with scholars based in Italy, United States and United Kingdom. Frequent co-authors include Daniele Loiacono, Stewart W. Wilson, Luigi Cardamone, Martin V. Butz, Federico Michele Facca, David E. Goldberg, Michele Pirovano, N. Alberto Borghese, Wolfgang Stolzmann and Renato Mainetti. Their work appears in journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and IEEE Access.
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.