David Massimo
Impact in
- Information Systems top 5%
- Recommender Systems and Techniques
- Transportation top 10%
- Human Mobility and Location-Based Analysis
Papers in
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- Recommender Systems and Techniques 17
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- Digital Marketing and Social Media 6
- Co-authors
- Francesco Ricci⋆ (24 shared papers)Mouzhi Ge (6 shared papers)Mehdi Elahi (6 shared papers)Katerina Berezina (1 shared paper)Berta Ferrer-Rosell (1 shared paper)Shlomo Berkovsky (2 shared papers)Ignacio Fernández-Tobías (1 shared paper)Elena Not (2 shared papers)
- Journals
- Information Technology & Tourism (2 papers)AI Magazine (1 paper)IEEE Transactions on Instrumentation and Measurement (1 paper)Lecture notes in business information processing (1 paper)Springer proceedings in business and economics (1 paper)
In The Last Decade
David Massimo
26 papers receiving 425 citations
Peers
Comparison fields: 5 of 73
- Information Systems 261
- Transportation 49
- Computer Vision and Pattern Recognition 96
- Human-Computer Interaction 25
- Computer Science Applications 24
Countries citing papers authored by David Massimo
This map shows the geographic impact of David Massimo'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 David Massimo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Massimo more than expected).
Fields of papers citing papers by David Massimo
This network shows the impact of papers produced by David Massimo. 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 David Massimo. The network helps show where David Massimo may publish in the future.
Co-authors
The 17 scholars most cited alongside David Massimo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 111 | |
| 2 | 2015 | 91 | |
| 3 | 2018 | 39 | |
| 4 | 2023 | 23 | |
| 5 | 2021 | 21 | |
| 6 | 2018 | 19 | |
| 7 | Interaction Design in a Mobile Food Recommender System | 2015 | 17 |
| 8 | 2017 | 16 | |
| 9 | 2022 | 15 | |
| 10 | 2023 | 13 | |
| 11 | Interactive Food Recommendation for Groups | 2014 | 11 |
| 12 | 2018 | 9 | |
| 13 | 2017 | 9 | |
| 14 | 2022 | 8 | |
| 15 | 2017 | 8 | |
| 16 | 2019 | 7 | |
| 17 | 2021 | 7 | |
| 18 | 2020 | 5 | |
| 19 | 2024 | 3 | |
| 20 | 2018 | 3 |
About David Massimo
David Massimo is a scholar working on Information Systems, Sociology and Political Science, Computer Vision and Pattern Recognition, Marketing and Automotive Engineering, having authored 26 papers that have together received 445 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (17 papers), Digital Marketing and Social Media (6 papers), Transportation and Mobility Innovations (4 papers), Human Mobility and Location-Based Analysis (4 papers), Innovative Human-Technology Interaction (4 papers), Advanced Bandit Algorithms Research (4 papers), Consumer Market Behavior and Pricing (4 papers) and Mobile Crowdsensing and Crowdsourcing (3 papers). The work is most often cited by research in Information Systems (261 citations), Transportation (49 citations), Computer Vision and Pattern Recognition (96 citations), Human-Computer Interaction (25 citations) and Computer Science Applications (24 citations). David Massimo has collaborated with scholars based in Italy, Spain and Australia. Frequent co-authors include Francesco Ricci⋆, Mouzhi Ge, Mehdi Elahi, Katerina Berezina, Berta Ferrer-Rosell, Shlomo Berkovsky, Ignacio Fernández-Tobías, Elena Not, Chiara Di Francescomarino and Antonella De Angeli. Their work appears in journals such as Information Technology & Tourism, AI Magazine, IEEE Transactions on Instrumentation and Measurement, Lecture notes in business information processing and Springer proceedings in business and economics.
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.