Alexis Boukouvalas
- Molecular Biology
- Artificial Intelligence top 10%
- Electrical and Electronic Engineering
- Computer Vision and Pattern Recognition
- Geriatrics and Gerontology top 10%
- Co-authors
- Yordan P. RaykovMax A. LittleFahd BaigMagnus RattrayDan CornfordGanesh DasikaEmre ÖzerLuisa Cutillo
- Topics
- Single-cell and spatial transcriptomics (6 papers)Advanced Multi-Objective Optimization Algorithms (5 papers)Gaussian Processes and Bayesian Inference (5 papers)
- Journals
- BioinformaticsPLoS ONETechnometrics
- Partner nations
- United KingdomUnited StatesAustria
In The Last Decade
Alexis Boukouvalas
23 papers receiving 577 citations
Peers
Comparison fields: 5 of 131
- Molecular Biology 161
- Artificial Intelligence 93
- Electrical and Electronic Engineering 58
- Computer Vision and Pattern Recognition 49
- Geriatrics and Gerontology 49
Countries citing papers authored by Alexis Boukouvalas
This map shows the geographic impact of Alexis Boukouvalas'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 Alexis Boukouvalas with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexis Boukouvalas more than expected).
Fields of papers citing papers by Alexis Boukouvalas
This network shows the impact of papers produced by Alexis Boukouvalas. 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 Alexis Boukouvalas. The network helps show where Alexis Boukouvalas may publish in the future.
Co-authorship network of co-authors of Alexis Boukouvalas
This figure shows the co-authorship network connecting the top 25 collaborators of Alexis Boukouvalas. A scholar is included among the top collaborators of Alexis Boukouvalas 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 Alexis Boukouvalas. Alexis Boukouvalas is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 28 | |
| 2 | 2 | |
| 3 | Enriched mixtures of generalised Gaussian process experts. | 2 |
| 4 | 2 | |
| 5 | 42 | |
| 6 | 3 | |
| 7 | 1 | |
| 8 | 31 | |
| 9 | 16 | |
| 10 | 1 | |
| 11 | 135 | |
| 12 | 36 | |
| 13 | 14 | |
| 14 | 7 | |
| 15 | 9 | |
| 16 | 20 | |
| 17 | Managing Uncertainty in Complex Stochastic Models: Design and Emulation of a Rabies Model1 3 | 3 |
| 18 | 50 | |
| 19 | 18 | |
| 20 | 7 |
About Alexis Boukouvalas
Alexis Boukouvalas is a scholar working on Neuropsychology and Physiological Psychology, Software and Geriatrics and Gerontology, having authored 23 papers that have together received 594 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Advanced Multi-Objective Optimization Algorithms (5 papers) and Gaussian Processes and Bayesian Inference (5 papers). The work is most often cited by research in Geriatrics and Gerontology (49 citations), Biophysics (23 citations) and Emergency Medical Services (28 citations). Alexis Boukouvalas has collaborated with scholars based in United Kingdom, United States and Austria. Frequent co-authors include Yordan P. Raykov, Max A. Little, Fahd Baig, Magnus Rattray, Dan Cornford, Ganesh Dasika, Emre Özer, Luisa Cutillo, James Hensman and Chris Fox. Their work appears in journals such as Bioinformatics, PLoS ONE and Technometrics.
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.