Lucas Drumond
- Information Systems top 1%
- Artificial Intelligence top 2%
- Computer Science Applications top 2%
- Computer Vision and Pattern Recognition top 5%
- Management Science and Operations Research top 5%
- Co-authors
- Lars Schmidt-ThiemeChristoph FreudenthalerArtus Krohn-GrimbergheNguyen Thai-NgheZeno GantnerSteffen RendleErnesto Diaz-AvilesWolfgang Nejdl
- Topics
- Recommender Systems and Techniques (9 papers)Semantic Web and Ontologies (7 papers)Online Learning and Analytics (5 papers)
In The Last Decade
Lucas Drumond
32 papers receiving 863 citations
Peers
Comparison fields: 5 of 71
- Information Systems 593
- Artificial Intelligence 534
- Computer Science Applications 212
- Computer Vision and Pattern Recognition 175
- Management Science and Operations Research 149
Countries citing papers authored by Lucas Drumond
This map shows the geographic impact of Lucas Drumond'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 Lucas Drumond with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lucas Drumond more than expected).
Fields of papers citing papers by Lucas Drumond
This network shows the impact of papers produced by Lucas Drumond. 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 Lucas Drumond. The network helps show where Lucas Drumond may publish in the future.
Co-authorship network of co-authors of Lucas Drumond
This figure shows the co-authorship network connecting the top 25 collaborators of Lucas Drumond. A scholar is included among the top collaborators of Lucas Drumond 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 Lucas Drumond. Lucas Drumond is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 40 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | Matrix Factorization for Near Real-time Geolocation Prediction in Twitter Stream. | 1 |
| 6 | Geo_ML @ MediaEval Placing Task 2015 | 1 |
| 7 | 11 | |
| 8 | 3 | |
| 9 | Using factorization machines for student modeling. | 16 |
| 10 | Factorization techniques for student performance classification and ranking. | 2 |
| 11 | 90 | |
| 12 | 17 | |
| 13 | Personalized Ranking for non-uniformly sampled items | 37 |
| 14 | Bayesian Personalized Ranking for Non-Uniformly Sampled Items | 15 |
| 15 | 9 | |
| 16 | A Knowledge-based Retrieval Model. | 2 |
| 17 | A Similarity Analysis Model for Semantic Web Information Filtering Applications. | 2 |
| 18 | 2 | |
| 19 | 5 | |
| 20 | 1 |
About Lucas Drumond
Lucas Drumond is a scholar working on Computational Mathematics, Computer Science Applications and Information Systems, having authored 32 papers that have together received 914 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (9 papers), Semantic Web and Ontologies (7 papers) and Online Learning and Analytics (5 papers). The work is most often cited by research in Computer Science Applications (212 citations), Computational Mathematics (18 citations) and Information Systems (593 citations). Lucas Drumond has collaborated with scholars based in Germany, Brazil and Ireland. Frequent co-authors include Lars Schmidt-Thieme, Christoph Freudenthaler, Artus Krohn-Grimberghe, Nguyen Thai-Nghe, Zeno Gantner, Steffen Rendle, Ernesto Diaz-Aviles, Wolfgang Nejdl, Rosario Girardi and Tomáš Horváth. Their work appears in journals such as Language Resources and Evaluation, Artificial Intelligence and Law and Arquivo Brasileiro de Medicina Veterinária e Zootecnia.
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.