Luiz Pizzato

40 total papers · 993 total citations
22 papers, 502 citations indexed

About

Luiz Pizzato is a scholar working on Information Systems, Artificial Intelligence and Management Science and Operations Research. According to data from OpenAlex, Luiz Pizzato has authored 22 papers receiving a total of 502 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 12 papers in Artificial Intelligence and 5 papers in Management Science and Operations Research. Recurrent topics in Luiz Pizzato's work include Recommender Systems and Techniques (12 papers), Topic Modeling (8 papers) and Natural Language Processing Techniques (8 papers). Luiz Pizzato is often cited by papers focused on Recommender Systems and Techniques (12 papers), Topic Modeling (8 papers) and Natural Language Processing Techniques (8 papers). Luiz Pizzato collaborates with scholars based in Australia, United States and Japan. Luiz Pizzato's co-authors include Diego Mollá, Judy Kay, Irena Koprinska, Ido Guy, Dietmar Jannach, Himan Abdollahpouri, Gediminas Adomavičius, Robin Burke, Toshihiro Kamishima and Rolf Schwitter and has published in prestigious journals such as User Modeling and User-Adapted Interaction, IEEE Transactions on Learning Technologies and World Wide Web.

In The Last Decade

Luiz Pizzato

21 papers receiving 470 citations

Author Peers

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

Author Last Decade Papers Cites
Luiz Pizzato 300 217 121 75 68 22 502
Denis Kotkov 328 1.1× 167 0.8× 99 0.8× 78 1.0× 41 0.6× 20 452
Matevž Kunaver 297 1.0× 153 0.7× 73 0.6× 69 0.9× 44 0.6× 17 447
Álvaro Tejeda-Lorente 335 1.1× 255 1.2× 108 0.9× 81 1.1× 36 0.5× 22 567
Juan Bernabé-Moreno 220 0.7× 224 1.0× 69 0.6× 66 0.9× 33 0.5× 31 464
Mengting Wan 239 0.8× 294 1.4× 71 0.6× 47 0.6× 42 0.6× 34 521
Lukas Lerche 448 1.5× 219 1.0× 188 1.6× 64 0.9× 87 1.3× 17 533
Tim Donkers 300 1.0× 288 1.3× 70 0.6× 48 0.6× 27 0.4× 19 462
Dmitry Pavlov 254 0.8× 251 1.2× 55 0.5× 56 0.7× 63 0.9× 16 489
Maryam Khanian Najafabadi 296 1.0× 161 0.7× 49 0.4× 70 0.9× 40 0.6× 22 500
Il Young Choi 389 1.3× 183 0.8× 56 0.5× 153 2.0× 103 1.5× 27 598

Countries citing papers authored by Luiz Pizzato

Since Specialization
Citations

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

Fields of papers citing papers by Luiz Pizzato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Luiz Pizzato

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

All Works

Loading papers...

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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026