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).
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.
Duong‐Trung, Nghia, Nicolas Schilling, Lucas Drumond, & Lars Schmidt-Thieme. (2016). Matrix Factorization for Near Real-time Geolocation Prediction in Twitter Stream.. 89–100.1 indexed citations
6.
Duong‐Trung, Nghia, Martin Wistuba, Lucas Drumond, & Lars Schmidt-Thieme. (2015). Geo_ML @ MediaEval Placing Task 2015. MediaEval.1 indexed citations
Thai-Nghe, Nguyen, Lucas Drumond, Tomáš Horváth, & Lars Schmidt-Thieme. (2012). Using factorization machines for student modeling..16 indexed citations
10.
Drumond, Lucas, Nguyen Thai-Nghe, Tomáš Horváth, & Lars Schmidt-Thieme. (2012). Factorization techniques for student performance classification and ranking..2 indexed citations
Gantner, Zeno, Lucas Drumond, Christoph Freudenthaler, & Lars Schmidt-Thieme. (2011). Personalized Ranking for non-uniformly sampled items. Knowledge Discovery and Data Mining. 231–247.37 indexed citations
14.
Gantner, Zeno, Lucas Drumond, Christoph Freudenthaler, & Lars Schmidt-Thieme. (2011). Bayesian Personalized Ranking for Non-Uniformly Sampled Items.15 indexed citations
Silva, Fábio, Rosario Girardi, & Lucas Drumond. (2009). A Knowledge-based Retrieval Model.. Software Engineering and Knowledge Engineering. 558–563.2 indexed citations
17.
Drumond, Lucas, Rosario Girardi, & Fábio Silva. (2008). A Similarity Analysis Model for Semantic Web Information Filtering Applications.. Software Engineering and Knowledge Engineering. 638–642.2 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.