Happy Buzaaba

424 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, Orevaoghene Ahia, Marcus Liwicki, Mofetoluwa Adeyemi, Anuoluwapo Aremu, Tosin Adewumi and Shamsuddeen Hassan Muhammad and has published in prestigious journals such as SN Computer Science.

In The Last Decade

Happy Buzaaba

2 papers receiving 11 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Happy Buzaaba Japan 2 9 3 2 1 1 3 11
Thibault Laugel France 3 8 0.9× 2 0.7× 2 1.0× 4 10
Zachary Kenton Germany 3 9 1.0× 5 1.7× 2 1.0× 5 17
Siddhartha Mishra United States 3 13 1.4× 5 1.7× 2 1.0× 4 17
Vijay Prakash Dwivedi Singapore 4 9 1.0× 3 1.0× 4 2.0× 1 1.0× 9 16
Heinrich Küttler Israel 3 8 0.9× 3 1.0× 5 8
M. Zhou China 2 8 0.9× 3 1.0× 4 2.0× 1 1.0× 2 13
Zhiyi Ma United Kingdom 2 13 1.4× 5 1.7× 2 1.0× 3 13
Adrià Garriga-Alonso United Kingdom 2 12 1.3× 3 1.0× 1 1.0× 4 15
Belinda Z. Li United States 3 8 0.9× 4 1.3× 1 0.5× 3 9
H. Pan China 2 7 0.8× 3 1.0× 1 0.5× 1 1.0× 4 13

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

3 of 3 papers shown
1.
Adewumi, Tosin, Mofetoluwa Adeyemi, Anuoluwapo Aremu, et al.. (2023). AfriWOZ: Corpus for Exploiting Cross-Lingual Transfer for Dialogue Generation in Low-Resource, African Languages. 1–8. 1 indexed citations
2.
Buzaaba, Happy & Toshiyuki Amagasa. (2021). Question Answering Over Knowledge Base: A Scheme for Integrating Subject and the Identified Relation to Answer Simple Questions. SN Computer Science. 2(1). 10 indexed citations
3.
Buzaaba, Happy & Toshiyuki Amagasa. (2021). A Scheme for Efficient Question Answering with Low Dimension Reconstructed Embeddings. 303–310.

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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2026