Alexis Boukouvalas

38 total papers · 1.3k total citations
23 papers, 591 citations indexed

About

Alexis Boukouvalas is a scholar working on Artificial Intelligence, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Alexis Boukouvalas has authored 23 papers receiving a total of 591 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 7 papers in Molecular Biology and 5 papers in Computational Theory and Mathematics. Recurrent topics in Alexis Boukouvalas's work include Single-cell and spatial transcriptomics (6 papers), Gaussian Processes and Bayesian Inference (5 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Alexis Boukouvalas is often cited by papers focused on Single-cell and spatial transcriptomics (6 papers), Gaussian Processes and Bayesian Inference (5 papers) and Advanced Multi-Objective Optimization Algorithms (5 papers). Alexis Boukouvalas collaborates with scholars based in United Kingdom, United States and Bangladesh. Alexis Boukouvalas's co-authors include Yordan P. Raykov, Max A. Little, Fahd Baig, Magnus Rattray, Ganesh Dasika, Emre Özer, Dan Cornford, James Hensman, Luisa Cutillo and Chris Fox and has published in prestigious journals such as Bioinformatics, PLoS ONE and Technometrics.

In The Last Decade

Alexis Boukouvalas

23 papers receiving 574 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Alexis Boukouvalas 160 94 58 49 49 23 591
Stuart Barber 93 0.6× 67 0.7× 22 0.4× 51 1.0× 8 0.2× 32 617
Peng Yin 179 1.1× 50 0.5× 29 0.5× 44 0.9× 17 0.3× 57 615
Shixiang Chen 26 0.2× 112 1.2× 42 0.7× 44 0.9× 12 0.2× 36 514
Dimane Mpoeleng 37 0.2× 189 2.0× 35 0.6× 66 1.3× 4 0.1× 21 641
Yonggang Wang 79 0.5× 88 0.9× 52 0.9× 23 0.5× 6 0.1× 27 547
Lijing Wang 86 0.5× 196 2.1× 13 0.2× 42 0.9× 7 0.1× 45 631
Juan Pardo 15 0.1× 72 0.8× 68 1.2× 12 0.2× 51 1.0× 32 507
Wei Peng 135 0.8× 50 0.5× 209 3.6× 12 0.2× 8 0.2× 30 513
Raphaël Couronné 50 0.3× 126 1.3× 10 0.2× 13 0.3× 14 0.3× 8 645
Thabiso Maupong 26 0.2× 181 1.9× 99 1.7× 32 0.7× 4 0.1× 17 676

Countries citing papers authored by Alexis Boukouvalas

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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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.

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