Alan Said

2.0k total citations
90 papers, 1.1k citations indexed

About

Alan Said is a scholar working on Information Systems, Artificial Intelligence and Computer Vision and Pattern Recognition. According to data from OpenAlex, Alan Said has authored 90 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Information Systems, 45 papers in Artificial Intelligence and 28 papers in Computer Vision and Pattern Recognition. Recurrent topics in Alan Said's work include Recommender Systems and Techniques (77 papers), Advanced Bandit Algorithms Research (20 papers) and Image Retrieval and Classification Techniques (19 papers). Alan Said is often cited by papers focused on Recommender Systems and Techniques (77 papers), Advanced Bandit Algorithms Research (20 papers) and Image Retrieval and Classification Techniques (19 papers). Alan Said collaborates with scholars based in Germany, Sweden and Netherlands. Alan Said's 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 and has published in prestigious journals such as Circulation, Sensors and AI Magazine.

In The Last Decade

Alan Said

83 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Alan Said Germany 19 823 419 250 233 103 90 1.1k
Benjamin Piwowarski France 16 586 0.7× 574 1.4× 262 1.0× 122 0.5× 91 0.9× 38 1.1k
Yetunde Folajimi United States 5 600 0.7× 318 0.8× 217 0.9× 92 0.4× 38 0.4× 15 872
Haggai Roitman Israel 19 402 0.5× 478 1.1× 142 0.6× 114 0.5× 130 1.3× 75 869
Folasade Olubusola Isinkaye Nigeria 6 619 0.8× 318 0.8× 230 0.9× 95 0.4× 43 0.4× 33 893
Fidel Cacheda Spain 15 611 0.7× 383 0.9× 143 0.6× 91 0.4× 142 1.4× 58 991
Cheng-Kang Hsieh United States 11 431 0.5× 318 0.8× 235 0.9× 88 0.4× 38 0.4× 19 810
Raciel Yera Cuba 13 444 0.5× 256 0.6× 130 0.5× 107 0.5× 31 0.3× 25 630
Palash Nandy United States 4 493 0.6× 289 0.7× 257 1.0× 119 0.5× 52 0.5× 5 765
Kostas Stefanidis Greece 19 428 0.5× 470 1.1× 115 0.5× 337 1.4× 259 2.5× 93 934
Alex Tuzhilin United States 4 676 0.8× 247 0.6× 317 1.3× 97 0.4× 148 1.4× 9 871

Countries citing papers authored by Alan Said

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 of co-authors of Alan Said

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

All Works

20 of 20 papers shown
1.
Marinho, Leandro Balby, et al.. (2024). Leveraging ChatGPT for Automated Human-centered Explanations in Recommender Systems. TU/e Research Portal. 597–608. 17 indexed citations
2.
Bauer, Christine, Eva Zangerle, & Alan Said. (2023). Exploring the Landscape of Recommender Systems Evaluation: Practices and Perspectives. 2(1). 1–31. 7 indexed citations
3.
Zangerle, Eva, Christine Bauer, & Alan Said. (2022). Report on the 2nd Workshop on the Perspectives on the Evaluation of Recommender Systems (PERSPECTIVES 2022) at RecSys 2022. ACM SIGIR Forum. 56(2). 1–4. 1 indexed citations
4.
Zhang, Yuchong, Morten Fjeld, Marco Fratarcangeli, Alan Said, & Shengdong Zhao. (2021). Affective Colormap Design for Accurate Visual Comprehension in Industrial Tomography. Sensors. 21(14). 4766–4766. 8 indexed citations
5.
Bellogín, Alejandro & Alan Said. (2021). Improving accountability in recommender systems research through reproducibility. Biblos-e Archivo (Universidad Autónoma de Madrid). 18 indexed citations
6.
Elsweiler, David, Bernd Ludwig, Alan Said, et al.. (2018). Third international workshop on health recommender systems (healthrecsys 2018). 517–518. 3 indexed citations
7.
Bae, Juhee, et al.. (2017). A Billiard Metaphor for Exploring Complex Graphs. 1798. 37–40. 2 indexed citations
8.
Said, Alan, et al.. (2015). Predicting Cyber Vulnerability Exploits with Machine Learning. 278. 48–57. 4 indexed citations
9.
Elsweiler, David, Morgan Harvey, Bernd Ludwig, & Alan Said. (2015). Bringing the "healthy" into Food Recommenders. University of Regensburg Publication Server (University of Regensburg). 28 indexed citations
10.
Said, Alan, Domonkos Tikk, Paolo Cremonesi, et al.. (2014). User-item reciprocity in recommender systems: incentivizing the crowd. DepositOnce. 4 indexed citations
11.
Said, Alan & Alejandro Bellogín. (2014). You are What You Eat! Tracking Health Through Recipe Interactions. Conference on Recommender Systems. 22 indexed citations
12.
Said, Alan, Babak Loni, Roberto Turrin, & Andreas Lommatzsch. (2014). An Extended Data Model Format for Composite Recommendation. Conference on Recommender Systems. 2 indexed citations
13.
Bellogín, Alejandro, et al.. (2013). CWI and TU Delft at TREC 2013: Contextual Suggestion, Federated Web Search, KBA, and Web Tracks. Text REtrieval Conference. 6 indexed citations
14.
Said, Alan, Alejandro Bellogín, Arjen P. de Vries, & Benjamin Kille. (2013). Information Retrieval and User-Centric Recommender System Evaluation. Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands. 2 indexed citations
15.
Said, Alan, Alejandro Bellogín, & Arjen P. de Vries. (2013). News Recommendation in the Wild: CWI's Recommendation Algorithms in the NRS Challenge. 4 indexed citations
16.
Said, Alan, et al.. (2012). Recommender systems evaluation: A 3D benchmark. Circulation. 910. 21–23. 15 indexed citations
17.
Said, Alan, Ernesto William De Luca, & Şahin Albayrak. (2011). Using Social and Pseudo Social Networks for Improved Recommendation Quality.. International Joint Conference on Artificial Intelligence.
18.
Said, Alan, et al.. (2011). Proceedings of the 2nd Challenge on Context-Aware Movie Recommendation. 9 indexed citations
19.
Said, Alan, Jérôme Kunegis, Ernesto William De Luca, & Şahin Albayrak. (2010). Exploiting hierarchical tags for context-awareness. 35–36. 1 indexed citations
20.
Said, Alan, et al.. (2009). Understanding the user: personomy translation for tag recommendation. 275–284. 5 indexed citations

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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