Ivano Lauriola

37 total papers · 897 total citations
17 papers, 490 citations indexed

About

Ivano Lauriola is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology. According to data from OpenAlex, Ivano Lauriola has authored 17 papers receiving a total of 490 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 2 papers in Molecular Biology. Recurrent topics in Ivano Lauriola's work include Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Neural Networks and Applications (3 papers). Ivano Lauriola is often cited by papers focused on Topic Modeling (8 papers), Natural Language Processing Techniques (6 papers) and Neural Networks and Applications (3 papers). Ivano Lauriola collaborates with scholars based in Italy, United States and Switzerland. Ivano Lauriola's co-authors include Fabio Aiolli, Alberto Lavelli, Claudio Gallicchio, Mirko Polato, Giuseppe Sartori, Carlo Strapparava, Michele Donini, Fabrizio Costa, Nicolò Navarin and Fabio Rinaldi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Pattern Recognition and Neurocomputing.

In The Last Decade

Ivano Lauriola

16 papers receiving 467 citations

Hit Papers

An introduction to Deep L... 2021 2026 2022 2024 2021 100 200 300

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ivano Lauriola 259 79 64 41 30 17 490
Lina Wang 186 0.7× 107 1.4× 76 1.2× 36 0.9× 29 1.0× 19 484
Hamouda Chantar 334 1.3× 67 0.8× 134 2.1× 28 0.7× 30 1.0× 13 496
Negin Samadi 220 0.8× 44 0.6× 57 0.9× 35 0.9× 44 1.5× 20 544
Martin Bobák 178 0.7× 72 0.9× 77 1.2× 37 0.9× 18 0.6× 20 551
Cuong Duc Nguyen 157 0.6× 66 0.8× 75 1.2× 29 0.7× 21 0.7× 13 491
Ruixiang Tang 308 1.2× 80 1.0× 66 1.0× 21 0.5× 27 0.9× 28 511
Amit Agarwal 257 1.0× 96 1.2× 49 0.8× 40 1.0× 19 0.6× 14 409
Madjid Khalilian 257 1.0× 76 1.0× 66 1.0× 68 1.7× 18 0.6× 28 537
Ignacio Heredia 174 0.7× 69 0.9× 67 1.0× 36 0.9× 19 0.6× 15 540
Stamatis Karlos 263 1.0× 46 0.6× 49 0.8× 30 0.7× 23 0.8× 32 457

Countries citing papers authored by Ivano Lauriola

Since Specialization
Citations

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

Fields of papers citing papers by Ivano Lauriola

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ivano Lauriola

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

All Works

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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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