George Okeyo

1.7k total citations · 1 hit paper
40 papers, 965 citations indexed

About

George Okeyo is a scholar working on Information Systems, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, George Okeyo has authored 40 papers receiving a total of 965 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Information Systems, 12 papers in Computer Vision and Pattern Recognition and 9 papers in Computer Networks and Communications. Recurrent topics in George Okeyo's work include Context-Aware Activity Recognition Systems (9 papers), IoT and Edge/Fog Computing (7 papers) and Online Learning and Analytics (5 papers). George Okeyo is often cited by papers focused on Context-Aware Activity Recognition Systems (9 papers), IoT and Edge/Fog Computing (7 papers) and Online Learning and Analytics (5 papers). George Okeyo collaborates with scholars based in Kenya, United Kingdom and Cameroon. George Okeyo's co-authors include Michael Kimwele, Liming Chen, Hui Wang, Roy Sterritt, Chris Nugent, Waweru Mwangi, Henri E. Z. Tonnang, Frank T. Ndjomatchoua, Samira A. Mohamed and Sunday Ekesi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Expert Systems with Applications and Future Generation Computer Systems.

In The Last Decade

George Okeyo

33 papers receiving 917 citations

Hit Papers

Feature Selection for Classification using Principal Comp... 2021 2026 2022 2024 2021 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
George Okeyo Kenya 15 354 345 284 189 117 40 965
Amandeep Kaur India 21 361 1.0× 228 0.7× 255 0.9× 235 1.2× 73 0.6× 157 1.6k
Sabu M. Thampi India 18 274 0.8× 255 0.7× 379 1.3× 222 1.2× 127 1.1× 92 1.0k
Mohit Mittal India 18 320 0.9× 249 0.7× 390 1.4× 133 0.7× 95 0.8× 69 1.1k
Sandeep Kumar India 23 341 1.0× 444 1.3× 224 0.8× 210 1.1× 143 1.2× 118 1.5k
Ali Alzahrani Saudi Arabia 20 223 0.6× 240 0.7× 321 1.1× 382 2.0× 126 1.1× 68 1.2k
Muhammad Saleem Pakistan 15 245 0.7× 135 0.4× 217 0.8× 208 1.1× 62 0.5× 36 896
Konstantinos Fysarakis Greece 15 268 0.8× 211 0.6× 324 1.1× 195 1.0× 99 0.8× 48 810
Teddy Mantoro Indonesia 17 406 1.1× 349 1.0× 225 0.8× 253 1.3× 136 1.2× 202 1.2k
Pedro Isasi Spain 19 653 1.8× 274 0.8× 127 0.4× 100 0.5× 76 0.6× 118 1.2k
Raúl Monroy Mexico 19 427 1.2× 213 0.6× 299 1.1× 333 1.8× 292 2.5× 89 1.1k

Countries citing papers authored by George Okeyo

Since Specialization
Citations

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

Fields of papers citing papers by George Okeyo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Okeyo

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

All Works

20 of 20 papers shown
1.
Okeyo, George, et al.. (2024). Improved Collaborative Filtering Recommender System Based on Hybrid Similarity Measures. The International Arab Journal of Information Technology. 22(1).
3.
Okeyo, George, et al.. (2023). An Image Denoising Technique Using Wavelet-Anisotropic Gaussian Filter-Based Denoising Convolutional Neural Network for CT Images. Applied Sciences. 13(21). 12069–12069. 15 indexed citations
4.
Okeyo, George, Liming Chen, Chengsheng Pan, & Lingmei Wang. (2023). Cover feature: guest editors’ introduction title: internet of things for everyday living: ubiquitous intelligence at Scale. Journal of Ambient Intelligence and Humanized Computing. 14(5). 4865–4868.
5.
Okeyo, George, et al.. (2023). Detecting Phishing Attacks Using Feature Importance-Based Machine Learning Approach. 1–6. 1 indexed citations
6.
Mwangi, Waweru, et al.. (2023). Sentiment Analysis of Text Reviews Using Lexicon-Enhanced Bert Embedding (LeBERT) Model with Convolutional Neural Network. Applied Sciences. 13(3). 1445–1445. 67 indexed citations
7.
Okeyo, George, et al.. (2022). Sentiment analysis on social media tweets using dimensionality reduction and natural language processing. Engineering Reports. 5(3). 22 indexed citations
8.
Okeyo, George, et al.. (2021). Infrastructure as Code for Business Continuity in Institutions of Higher Learning. 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET). 3. 1–6. 3 indexed citations
9.
Mwangi, Waweru, et al.. (2021). Lexicon‐pointed hybrid N‐gram Features Extraction Model ( LeNFEM ) for sentence level sentiment analysis. Engineering Reports. 3(8). 15 indexed citations
10.
Okeyo, George, et al.. (2020). A survey on privacy and security of Internet of Things. Computer Science Review. 38. 100312–100312. 126 indexed citations
12.
Okeyo, George, et al.. (2018). Using Naïve Bayes Algorithm in detection of Hate Tweets. International Journal of Scientific and Research Publications. 8(3). 22 indexed citations
13.
Okeyo, George, et al.. (2017). A Survey of Context-Aware Healthcare Recommender Systems. International Journal of Science and Research (IJSR). 6(12). 962–967. 2 indexed citations
14.
Okeyo, George, et al.. (2017). Stock Price Prediction Using Neural Network Models Based on Tweets Sentiment Scores. 5(2). 64–75. 1 indexed citations
15.
Okeyo, George, et al.. (2016). Data Mining Model for Predicting Student Enrolment in STEM Courses in Higher Education Institutions. International Journal of Computer Applications Technology and Research. 5(11). 698–704. 8 indexed citations
16.
Mwangi, Waweru, et al.. (2016). TELECOMMUTING MODEL FOR SMALL AND MEDIUM ENTERPRISES (SMES) IN KENYA.
17.
Mohamed, Samira A., et al.. (2016). Modeling the risk of invasion and spread of Tuta absoluta in Africa. Ecological Complexity. 28. 77–93. 43 indexed citations
18.
Kimwele, Michael, et al.. (2015). The Use Of Social Networking Sites For Learning In Institutions Of Higher Learning. International journal of scientific and technology research. 4(12). 51–56. 2 indexed citations
19.
Okeyo, George, Liming Chen, & Hui Wang. (2014). Combining ontological and temporal formalisms for composite activity modelling and recognition in smart homes. Future Generation Computer Systems. 39. 29–43. 55 indexed citations
20.
Okeyo, George, Liming Chen, Hui Wang, & Roy Sterritt. (2012). Dynamic sensor data segmentation for real-time knowledge-driven activity recognition. Pervasive and Mobile Computing. 10. 155–172. 106 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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