Adrian Corduneanu
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 10%
- Signal Processing top 10%
- Statistics and Probability top 10%
- Control and Systems Engineering
- Co-authors
- Chris BishopTommi JaakkolaVassilios DigalakisEnrico BocchieriSteven A. BerkowitzA. SankarBill ByrneSanjeev Khudanpur
- Topics
- Machine Learning and Algorithms (3 papers)Speech and Audio Processing (2 papers)Speech Recognition and Synthesis (2 papers)
- Journals
- HIV MedicineNeural Information Processing SystemsInternational Conference on Artificial Intelligence and Statistics
- Partner nations
- United StatesCanadaGreece
In The Last Decade
Adrian Corduneanu
9 papers receiving 302 citations
Peers
Comparison fields: 5 of 63
- Artificial Intelligence 230
- Computer Vision and Pattern Recognition 62
- Signal Processing 61
- Statistics and Probability 42
- Control and Systems Engineering 37
Countries citing papers authored by Adrian Corduneanu
This map shows the geographic impact of Adrian Corduneanu'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 Adrian Corduneanu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Adrian Corduneanu more than expected).
Fields of papers citing papers by Adrian Corduneanu
This network shows the impact of papers produced by Adrian Corduneanu. 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 Adrian Corduneanu. The network helps show where Adrian Corduneanu may publish in the future.
Co-authorship network of co-authors of Adrian Corduneanu
This figure shows the co-authorship network connecting the top 25 collaborators of Adrian Corduneanu. A scholar is included among the top collaborators of Adrian Corduneanu 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 Adrian Corduneanu. Adrian Corduneanu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 3 | |
| 3 | Distributed Information Regularization on Graphs | 20 |
| 4 | Continuation methods for mixing heterogeneous sources | 14 |
| 5 | Variational Bayesian Model Selection for Mixture Distributions | 231 |
| 6 | Hyperparameters for Soft Bayesian Model Selection. | 14 |
| 7 | Proceedings Eighth International Conference on Artificial Intelligence and Statistics | 7 |
| 8 | 7 | |
| 9 | 25 | |
| 10 | 0 |
About Adrian Corduneanu
Adrian Corduneanu is a scholar working on Artificial Intelligence, Signal Processing and Statistics and Probability, having authored 10 papers that have together received 322 indexed citations. Recurring topics across this work include Machine Learning and Algorithms (3 papers), Speech and Audio Processing (2 papers) and Speech Recognition and Synthesis (2 papers). The work is most often cited by research in Artificial Intelligence (230 citations), Signal Processing (61 citations) and Statistics and Probability (42 citations). Adrian Corduneanu has collaborated with scholars based in United States, Canada and Greece. Frequent co-authors include Chris Bishop, Tommi Jaakkola, Vassilios Digalakis, Enrico Bocchieri, Steven A. Berkowitz, A. Sankar, Bill Byrne, Sanjeev Khudanpur, John Platt and Gheorghe Moroşanu. Their work appears in journals such as HIV Medicine, Neural Information Processing Systems and International Conference on Artificial Intelligence and Statistics.
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.