Massimo Quadrana

38 total papers · 1.7k total citations
24 papers, 1.0k citations indexed

About

Massimo Quadrana is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Massimo Quadrana has authored 24 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Information Systems, 12 papers in Artificial Intelligence and 9 papers in Computer Vision and Pattern Recognition. Recurrent topics in Massimo Quadrana's work include Recommender Systems and Techniques (16 papers), Advanced Bandit Algorithms Research (7 papers) and Video Analysis and Summarization (6 papers). Massimo Quadrana is often cited by papers focused on Recommender Systems and Techniques (16 papers), Advanced Bandit Algorithms Research (7 papers) and Video Analysis and Summarization (6 papers). Massimo Quadrana collaborates with scholars based in Italy, Austria and Spain. Massimo Quadrana's co-authors include Paolo Cremonesi, Dietmar Jannach, Domonkos Tikk, Balázs Hidasi, Alexandros Karatzoglou, Yashar Deldjoo, Mehdi Elahi, Franca Garzotto, Pietro Piazzolla and Roberto Pagano and has published in prestigious journals such as IEEE Access, ACM Computing Surveys and AI Communications.

In The Last Decade

Massimo Quadrana

22 papers receiving 978 citations

Hit Papers

normalize citations (0→100%) normalize lifespan (0→100%) sort by overperformance

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation benchmark for papers published in the same subfield and year, or reaches the top citation threshold in at least one of its specific research topics.

Parallel Recurrent Neural Network Architectures for Feature-rich Session-based Recommendations

2016 338 citations Balázs Hidasi, Massimo Quadrana et al. profile →
Sequence-Aware Recommender Systems

2018 268 citations Massimo Quadrana, Paolo Cremonesi et al. ACM Computing Surveys profile →

Author Peers

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

Author						Papers	Cites
Massimo Quadrana	813	534	350	236	149	24	1.0k
Dhruv Gupta	768 0.9×	404 0.8×	306 0.9×	179 0.8×	145 1.0×	26	1.1k
Asela Gunawardana	477 0.6×	693 1.3×	263 0.8×	139 0.6×	329 2.2×	34	1.2k
Saúl Vargas	737 0.9×	317 0.6×	185 0.5×	299 1.3×	83 0.6×	20	885
István Pilászy	661 0.8×	380 0.7×	298 0.9×	156 0.7×	70 0.5×	10	837
Jinoh Oh	811 1.0×	660 1.2×	324 0.9×	133 0.6×	59 0.4×	30	1.1k
Kan Ren	539 0.7×	491 0.9×	266 0.8×	192 0.8×	49 0.3×	27	908
Azin Ashkan	669 0.8×	451 0.8×	192 0.5×	234 1.0×	123 0.8×	22	1.0k
Evan Wei Xiang	549 0.7×	524 1.0×	192 0.5×	120 0.5×	94 0.6×	20	890
Wensi Xi	810 1.0×	511 1.0×	292 0.8×	68 0.3×	107 0.7×	17	1.1k
YoungOk Kwon	777 1.0×	326 0.6×	244 0.7×	267 1.1×	84 0.6×	13	931

Countries citing papers authored by Massimo Quadrana

Since Specialization

Citations

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

Fields of papers citing papers by Massimo Quadrana

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Massimo Quadrana

This figure shows the co-authorship network connecting the top 25 collaborators of Massimo Quadrana. A scholar is included among the top collaborators of Massimo Quadrana 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 Massimo Quadrana. Massimo Quadrana 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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