Roberto Turrin
- Information Systems top 0.5%
- Recommender Systems and Techniques 20
- Computational Mathematics top 5%
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- Advanced Bandit Algorithms Research 5
- Artificial Intelligence top 2%
- Topic Modeling 4
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- Distributed and Parallel Computing Systems 4
- Caching and Content Delivery 3
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- Parallel Computing and Optimization Techniques 3
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- Online Learning and Analytics 2
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- Complex Network Analysis Techniques 2
- Co-authors
- Paolo CremonesiYehuda KorenFranca GarzottoMatteo MatteucciGiuliano CasaleAlessandro V. PapadopoulosRoberto PaganoMassimo Quadrana
- Journals
- ACM Computing Surveys (1 paper)ACM SIGIR Forum (1 paper)ACM Transactions on Interactive Intelligent Systems (1 paper)
- Partner nations
- ItalyGermanyUnited Kingdom
In The Last Decade
Roberto Turrin
29 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Information Systems 1.2k
- Computational Mathematics 19
- Management Science and Operations Research 377
- Computer Vision and Pattern Recognition 385
- Artificial Intelligence 604
Countries citing papers authored by Roberto Turrin
This map shows the geographic impact of Roberto Turrin'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 Roberto Turrin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Roberto Turrin more than expected).
Fields of papers citing papers by Roberto Turrin
This network shows the impact of papers produced by Roberto Turrin. 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 Roberto Turrin. The network helps show where Roberto Turrin may publish in the future.
Co-authorship network
The 24 scholars most cited alongside Roberto Turrin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | On the application of Transformers for estimating the difficulty of Multiple-Choice Questions from text. | 2021 | 5 |
| 2 | 2017 | 2 | |
| 3 | 2016 | 20 | |
| 4 | 30Music listening and playlists dataset | 2015 | 27 |
| 5 | An Extended Data Model Format for Composite Recommendation | 2014 | 2 |
| 6 | 2014 | 4 | |
| 7 | 2014 | 4 | |
| 8 | 2013 | 2 | |
| 9 | 2012 | 28 | |
| 10 | 2012 | 74 | |
| 11 | Decision - Making in Recommender Systems : The Role of User's Goals and Bounded Resources | 2012 | 10 |
| 12 | Hybrid algorithms for recommending new items in personal TV | 2011 | 2 |
| 13 | Top-N recommendations on Unpopular Items with Contextual Knowledge | 2011 | 10 |
| 14 | 2011 | 27 | |
| 15 | 2011 | 100 | |
| 16 | Performance of recommender algorithms on top-n recommendation tasksbreakdown → | 2010 | 887 |
| 17 | 2010 | 4 | |
| 18 | 2008 | 53 | |
| 19 | 2008 | 29 | |
| 20 | 2006 | 3 |
About Roberto Turrin
Roberto Turrin is a scholar working on Information Systems, Computer Science Applications, Management Science and Operations Research, Hardware and Architecture and Signal Processing, having authored 29 papers that have together received 1.4k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (20 papers), Advanced Bandit Algorithms Research (5 papers), Topic Modeling (4 papers), Distributed and Parallel Computing Systems (4 papers), Caching and Content Delivery (3 papers), Parallel Computing and Optimization Techniques (3 papers), Online Learning and Analytics (2 papers) and Complex Network Analysis Techniques (2 papers). The work is most often cited by research in Information Systems (1.2k citations), Computational Mathematics (19 citations), Management Science and Operations Research (377 citations), Computer Vision and Pattern Recognition (385 citations) and Artificial Intelligence (604 citations). Roberto Turrin has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Paolo Cremonesi, Yehuda Koren, Franca Garzotto, Matteo Matteucci, Giuliano Casale, Alessandro V. Papadopoulos, Roberto Pagano, Massimo Quadrana, Frank Hopfgartner and Benjamin Kille. Their work appears in journals such as ACM Computing Surveys, ACM SIGIR Forum, ACM Transactions on Interactive Intelligent Systems, Journal of Networks and BOA (University of Milano-Bicocca).
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.