Happy Buzaaba

21 total papers · 415 total citations
3 papers, 11 citations indexed

About

Happy Buzaaba is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Infectious Diseases. According to data from OpenAlex, Happy Buzaaba has authored 3 papers receiving a total of 11 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 0 papers in Infectious Diseases. Recurrent topics in Happy Buzaaba's work include Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Multimodal Machine Learning Applications (2 papers). Happy Buzaaba is often cited by papers focused on Natural Language Processing Techniques (3 papers), Topic Modeling (3 papers) and Multimodal Machine Learning Applications (2 papers). Happy Buzaaba collaborates with scholars based in Japan and Kenya. Happy Buzaaba's co-authors include Toshiyuki Amagasa, Tosin Adewumi, Mofetoluwa Adeyemi, Shamsuddeen Hassan Muhammad, Orevaoghene Ahia, Benjamin Olusola Ajibade, Anuoluwapo Aremu and Marcus Liwicki and has published in prestigious journals such as SN Computer Science.

In The Last Decade

Happy Buzaaba

2 papers receiving 11 citations

Author Peers

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

Author Last Decade Papers Cites
Happy Buzaaba 9 3 2 1 1 3 11
Alex Alemi 7 0.8× 2 0.7× 2 1.0× 1 1.0× 2 13
Thibault Laugel 7 0.8× 2 0.7× 2 1.0× 4 9
Zhiyi Ma 13 1.4× 5 1.7× 2 1.0× 3 13
M. Zhou 8 0.9× 3 1.0× 4 2.0× 2 12
Massih Amini 11 1.2× 3 1.0× 1 0.5× 2 11
Belinda Z. Li 7 0.8× 3 1.0× 1 0.5× 3 8
Rodolphe Lampe 11 1.2× 4 1.3× 2 11
Ayodele Awokoya 9 1.0× 2 0.7× 3 13
Seb Noury 10 1.1× 2 0.7× 2 12
H. Pan 6 0.7× 3 1.0× 1 1.0× 3 11

Countries citing papers authored by Happy Buzaaba

Since Specialization
Citations

This map shows the geographic impact of Happy Buzaaba'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 Happy Buzaaba with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Happy Buzaaba more than expected).

Fields of papers citing papers by Happy Buzaaba

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Happy Buzaaba. 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 Happy Buzaaba. The network helps show where Happy Buzaaba may publish in the future.

Co-authorship network of co-authors of Happy Buzaaba

This figure shows the co-authorship network connecting the top 25 collaborators of Happy Buzaaba. A scholar is included among the top collaborators of Happy Buzaaba 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 Happy Buzaaba. Happy Buzaaba 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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