Gert Lanckriet
- Computer Vision and Pattern Recognition top 0.1%
- Artificial Intelligence top 0.2%
- Signal Processing top 0.2%
- Molecular Biology top 10%
- Computational Mechanics top 1%
- Co-authors
- Michael I. JordanBharath K. SriperumbudurBrian McFeeFrancis BachLuke BarringtonEmanuele CovielloDouglas TurnbullNuno Vasconcelos
- Topics
- Music and Audio Processing (40 papers)Music Technology and Sound Studies (21 papers)Video Analysis and Summarization (19 papers)
- Partner nations
- United StatesHong KongGermany
In The Last Decade
Gert Lanckriet
108 papers receiving 8.5k citations
Hit Papers
Peers
Comparison fields: 5 of 193
- Computer Vision and Pattern Recognition 4.4k
- Artificial Intelligence 3.1k
- Signal Processing 1.7k
- Molecular Biology 818
- Computational Mechanics 709
Countries citing papers authored by Gert Lanckriet
This map shows the geographic impact of Gert Lanckriet'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 Gert Lanckriet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gert Lanckriet more than expected).
Fields of papers citing papers by Gert Lanckriet
This network shows the impact of papers produced by Gert Lanckriet. 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 Gert Lanckriet. The network helps show where Gert Lanckriet may publish in the future.
Co-authorship network of co-authors of Gert Lanckriet
This figure shows the co-authorship network connecting the top 25 collaborators of Gert Lanckriet. A scholar is included among the top collaborators of Gert Lanckriet 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 Gert Lanckriet. Gert Lanckriet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Efficient Learning of Mahalanobis Metrics for Ranking | 28 |
| 2 | That was fast! Speeding up NN search of high dimensional distributions. | 2 |
| 3 | Robust Structural Metric Learning | 62 |
| 4 | Non-linear Metric Learning | 99 |
| 5 | The variational hierarchical EM algorithm for clustering hidden Markov models | 10 |
| 6 | 43 | |
| 7 | 99 | |
| 8 | Learning in Hilbert vs. Banach Spaces: A Measure Embedding Viewpoint | 14 |
| 9 | Metric Learning to Rank | 188 |
| 10 | 220 | |
| 11 | On the relation between universality, characteristic kernels and RKHS embedding of measures | 21 |
| 12 | The Sparse Eigenvalue Problem | 1 |
| 13 | Kernel Choice and Classifiability for RKHS Embeddings of Probability Distributions | 89 |
| 14 | Injective hilbert space embeddings of probability measures | 73 |
| 15 | Kernel Learning: Automatic Selection of Optimal Kernels | 1 |
| 16 | Generalized Non-metric Multidimensional Scaling. | 79 |
| 17 | Exploring the Semantic Annotation and Retrieval of Sound | 3 |
| 18 | A Framework for Genomic Data Fusion and its Application to Membrane Protein Prediction | 4 |
| 19 | 242 | |
| 20 | Robust Novelty Detection with Single-Class MPM | 58 |
About Gert Lanckriet
Gert Lanckriet is a scholar working on Signal Processing, Computer Vision and Pattern Recognition and Statistics and Probability, having authored 108 papers that have together received 8.9k indexed citations. Recurring topics across this work include Music and Audio Processing (40 papers), Music Technology and Sound Studies (21 papers) and Video Analysis and Summarization (19 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.4k citations), Signal Processing (1.7k citations) and Artificial Intelligence (3.1k citations). Gert Lanckriet has collaborated with scholars based in United States, Hong Kong and Germany. Frequent co-authors include Michael I. Jordan, Bharath K. Sriperumbudur, Brian McFee, Francis Bach, Luke Barrington, Emanuele Coviello, Douglas Turnbull, Nuno Vasconcelos, Laurent El Ghaoui and José Costa Pereira. Their work appears in journals such as Proceedings of the National Academy of Sciences, Bioinformatics and PLoS ONE.
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.