Alan Said
- Information Systems top 0.5%
- Recommender Systems and Techniques 77
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- Advanced Bandit Algorithms Research 20
- Artificial Intelligence top 5%
- Topic Modeling 16
- Data Stream Mining Techniques 9
- Advanced Graph Neural Networks 9
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- Image Retrieval and Classification Techniques 19
- Video Analysis and Summarization 8
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- Mobile Crowdsensing and Crowdsourcing 8
- Co-authors
- Alejandro BellogínErnesto William De LucaŞahin AlbayrakShlomo BerkovskyBrijnesh J. JainChristoph TrattnerHanna SchäferHelma Torkamaan
- Journals
- ACM SIGIR Forum (5 papers)ACM Transactions on Intelligent Systems and Technology (2 papers)User Modeling and User-Adapted Interaction (2 papers)
- Partner nations
- GermanySwedenNetherlands
In The Last Decade
Alan Said
83 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 85
- Information Systems 823
- Management Science and Operations Research 233
- Artificial Intelligence 419
- Computer Vision and Pattern Recognition 250
- Computational Mathematics 7
Countries citing papers authored by Alan Said
This map shows the geographic impact of Alan Said'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 Alan Said with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alan Said more than expected).
Fields of papers citing papers by Alan Said
This network shows the impact of papers produced by Alan Said. 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 Alan Said. The network helps show where Alan Said may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Alan Said, 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 | 2024 | 17 | |
| 2 | 2023 | 7 | |
| 3 | 2022 | 1 | |
| 4 | 2021 | 18 | |
| 5 | 2021 | 8 | |
| 6 | 2020 | 3 | |
| 7 | A Billiard Metaphor for Exploring Complex Graphs | 2017 | 2 |
| 8 | Bringing the "healthy" into Food Recommenders | 2015 | 28 |
| 9 | 2015 | 4 | |
| 10 | You are What You Eat! Tracking Health Through Recipe Interactions | 2014 | 22 |
| 11 | An Extended Data Model Format for Composite Recommendation | 2014 | 2 |
| 12 | 2014 | 4 | |
| 13 | CWI and TU Delft at TREC 2013: Contextual Suggestion, Federated Web Search, KBA, and Web Tracks | 2013 | 6 |
| 14 | Information Retrieval and User-Centric Recommender System Evaluation | 2013 | 2 |
| 15 | 2013 | 6 | |
| 16 | News Recommendation in the Wild: CWI's Recommendation Algorithms in the NRS Challenge | 2013 | 4 |
| 17 | 2012 | 15 | |
| 18 | 2012 | 1 | |
| 19 | Using Social and Pseudo Social Networks for Improved Recommendation Quality. | 2011 | 0 |
| 20 | Understanding the user: personomy translation for tag recommendation | 2009 | 5 |
About Alan Said
Alan Said is a scholar working on Information Systems, Management Science and Operations Research, Computer Science Applications, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 90 papers that have together received 1.1k indexed citations. Recurring topics across this work include Recommender Systems and Techniques (77 papers), Advanced Bandit Algorithms Research (20 papers), Image Retrieval and Classification Techniques (19 papers), Topic Modeling (16 papers), Data Stream Mining Techniques (9 papers), Advanced Graph Neural Networks (9 papers), Video Analysis and Summarization (8 papers) and Mobile Crowdsensing and Crowdsourcing (8 papers). The work is most often cited by research in Information Systems (823 citations), Management Science and Operations Research (233 citations), Artificial Intelligence (419 citations), Computer Vision and Pattern Recognition (250 citations) and Computational Mathematics (7 citations). Alan Said has collaborated with scholars based in Germany, Sweden and Netherlands. Frequent co-authors include Alejandro Bellogín, Ernesto William De Luca, Şahin Albayrak, Shlomo Berkovsky, Brijnesh J. Jain, Christoph Trattner, Hanna Schäfer, Helma Torkamaan, Domonkos Tikk and Bernd Ludwig. Their work appears in journals such as ACM SIGIR Forum, ACM Transactions on Intelligent Systems and Technology, User Modeling and User-Adapted Interaction, Circulation and Frontiers in Big Data.
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.