Staphord Bengesi

402 total citations · 1 hit paper
4 papers, 189 citations indexed

About

Staphord Bengesi is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Sociology and Political Science. According to data from OpenAlex, Staphord Bengesi has authored 4 papers receiving a total of 189 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 1 paper in Sociology and Political Science. Recurrent topics in Staphord Bengesi's work include Generative Adversarial Networks and Image Synthesis (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Spam and Phishing Detection (1 paper). Staphord Bengesi is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Sentiment Analysis and Opinion Mining (2 papers) and Spam and Phishing Detection (1 paper). Staphord Bengesi collaborates with scholars based in United States. Staphord Bengesi's co-authors include Timothy Oladunni, John Irungu, Hoda El-Sayed and Md Kamruzzaman Sarker and has published in prestigious journals such as IEEE Access and arXiv (Cornell University).

In The Last Decade

Staphord Bengesi

4 papers receiving 184 citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers

2024 118 citations Staphord Bengesi, Hoda El-Sayed et al. IEEE Access profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Staphord Bengesi United States	4	79	18	16	16	15	4	189
Kacper Sokol United Kingdom	9	227 2.9×	17 0.9×	25 1.6×	14 0.9×	49 3.3×	23	286
Thomas Hartvigsen United States	7	150 1.9×	9 0.5×	21 1.3×	7 0.4×	28 1.9×	38	237
Yanghe Pan China	6	123 1.6×	45 2.5×	14 0.9×	20 1.3×	31 2.1×	19	255
Md. Kishor Morol Bangladesh	8	43 0.5×	38 2.1×	25 1.6×	12 0.8×	9 0.6×	25	153
Lu Zhou United States	9	129 1.6×	29 1.6×	17 1.1×	5 0.3×	5 0.3×	27	284
Katikapalli Subramanyam Kalyan India	5	154 1.9×	16 0.9×	16 1.0×	4 0.3×	30 2.0×	6	253
Ching Nam Hang Singapore	8	100 1.3×	62 3.4×	6 0.4×	25 1.6×	22 1.5×	12	202
Surabhi Adhikari India	10	142 1.8×	49 2.7×	20 1.3×	5 0.3×	42 2.8×	13	299

Countries citing papers authored by Staphord Bengesi

Since Specialization

Citations

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

Fields of papers citing papers by Staphord Bengesi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Staphord Bengesi

This figure shows the co-authorship network connecting the top 25 collaborators of Staphord Bengesi. A scholar is included among the top collaborators of Staphord Bengesi 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 Staphord Bengesi. Staphord Bengesi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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4 of 4 papers shown

1.

Bengesi, Staphord, et al.. (2024). Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers. IEEE Access. 12. 69812–69837. 118 indexed citations breakdown →

2.

Oladunni, Timothy, et al.. (2023). Text Mining and Emotion Classification on Monkeypox Twitter Dataset: A Deep Learning-Natural Language Processing (NLP) Approach. IEEE Access. 11. 49882–49894. 23 indexed citations

3.

Bengesi, Staphord, et al.. (2023). Advancements in Generative AI: A Comprehensive Review of GANs, GPT, Autoencoders, Diffusion Model, and Transformers. arXiv (Cornell University). 4 indexed citations

4.

Bengesi, Staphord, et al.. (2023). A Machine Learning-Sentiment Analysis on Monkeypox Outbreak: An Extensive Dataset to Show the Polarity of Public Opinion From Twitter Tweets. IEEE Access. 11. 11811–11826. 44 indexed citations

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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