Ernest Fokoué
- Artificial Intelligence top 10%
- Statistics and Probability top 5%
- Signal Processing top 10%
- Molecular Biology
- Computer Networks and Communications
- Co-authors
- Bertrand ClarkeHao Helen ZhangD. M. TitteringtonNeclâ GündüzOle WintherManfred OpperLehel CsatóTae Hwan Oh
- Topics
- Neural Networks and Applications (8 papers)Bayesian Methods and Mixture Models (6 papers)Gaussian Processes and Bayesian Inference (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaBiophysical JournalMachine Learning
- Partner nations
- United StatesUnited KingdomSweden
In The Last Decade
Ernest Fokoué
31 papers receiving 358 citations
Peers
Comparison fields: 5 of 115
- Artificial Intelligence 179
- Statistics and Probability 75
- Signal Processing 55
- Molecular Biology 44
- Computer Networks and Communications 27
Countries citing papers authored by Ernest Fokoué
This map shows the geographic impact of Ernest Fokoué'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 Ernest Fokoué with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ernest Fokoué more than expected).
Fields of papers citing papers by Ernest Fokoué
This network shows the impact of papers produced by Ernest Fokoué. 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 Ernest Fokoué. The network helps show where Ernest Fokoué may publish in the future.
Co-authorship network of co-authors of Ernest Fokoué
This figure shows the co-authorship network connecting the top 25 collaborators of Ernest Fokoué. A scholar is included among the top collaborators of Ernest Fokoué 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 Ernest Fokoué. Ernest Fokoué 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 | 0 | |
| 3 | 0 | |
| 4 | 1 | |
| 5 | 10 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | A Mathematical Formalization of Hierarchical Temporal Memory Cortical Learning Algorithm's Spatial Pooler. | 3 |
| 10 | 19 | |
| 11 | 1 | |
| 12 | 3 | |
| 13 | 13 | |
| 14 | Stable Radial Basis Function Selection via Mixture Modelling of the Sample Path | 1 |
| 15 | Fully Bayesian Analysis of the Relevance Vector Machine With Extended Prior | 1 |
| 16 | 178 | |
| 17 | Foundational Aspects of the Theory of Statistical Function Estimation and Pattern Recognition | 1 |
| 18 | A Prior for Consistent Estimation for The Relevance Vector Machine | 2 |
| 19 | 11 | |
| 20 | Efficient Approaches to Gaussian Process Classification | 30 |
About Ernest Fokoué
Ernest Fokoué is a scholar working on Statistics and Probability, Artificial Intelligence and Signal Processing, having authored 42 papers that have together received 397 indexed citations. Recurring topics across this work include Neural Networks and Applications (8 papers), Bayesian Methods and Mixture Models (6 papers) and Gaussian Processes and Bayesian Inference (6 papers). The work is most often cited by research in Statistics and Probability (75 citations), Artificial Intelligence (179 citations) and Signal Processing (55 citations). Ernest Fokoué has collaborated with scholars based in United States, United Kingdom and Sweden. Frequent co-authors include Bertrand Clarke, Hao Helen Zhang, D. M. Titterington, Neclâ Gündüz, Ole Winther, Manfred Opper, Lehel Csató, Tae Hwan Oh, Gregory A. Babbitt and Prem K. Goel. Their work appears in journals such as SHILAP Revista de lepidopterología, Biophysical Journal and Machine Learning.
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.