George Okeyo

35 papers receiving 963 citations

George Okeyo's Hit Papers

Feature Selection for Classification using Principal Component Analysis and Information Gain 2021 · 234 citations
2340+1+3Years since publication50100150200

Peers

George Okeyo
Comparison fields: 5 of 118
  • Computer Vision and Pattern Recognition 349
  • Computer Networks and Communications 286
  • Artificial Intelligence 368
  • Signal Processing 118
  • Information Systems 190
Replace Susan McKeever with:
Susan McKeever Ireland
Chunhong Zhang China
G. Michael Youngblood United States
Hui-Huang Hsu Taiwan
Rasha Kashef Canada
M. Parimala India
Mohd Zakree Ahmad Nazri Malaysia
Yongfeng Qian China
Yonis Gulzar Saudi Arabia
Tianyi Wang China
George Okeyo relative to Susan McKeever Ireland Susan McKeever's profile →
Citations per field
00.5×1.7×
Susan McKeever · 1×
Citations per year

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-authors

The 14 scholars most cited alongside George Okeyo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with George Okeyo Line = papers co-authored together George Okeyo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Feature Selection for Classification using Principal Component Analysis and Information Gain
Hit paper breakdown →
2021234
2 2020128
3 2012109
4 201492
5 202376
6 201455
7 201847
8 201644
9 201228
10 202224
11 201822
12 202320
13 201516
14 202115
15 201715
16 201511
17 20189
18 20178
19 20168
20 20116

About George Okeyo

George Okeyo is a scholar working on Information Systems, Computer Vision and Pattern Recognition, Computer Networks and Communications, Artificial Intelligence and Signal Processing, having authored 41 papers that have together received 1.0k indexed citations. Recurring topics across this work include Context-Aware Activity Recognition Systems (9 papers), IoT and Edge/Fog Computing (7 papers), Technology Use by Older Adults (5 papers), Sentiment Analysis and Opinion Mining (5 papers), Online Learning and Analytics (5 papers), Time Series Analysis and Forecasting (3 papers), Recommender Systems and Techniques (3 papers) and Text and Document Classification Technologies (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (349 citations), Computer Networks and Communications (286 citations), Artificial Intelligence (368 citations), Signal Processing (118 citations) and Information Systems (190 citations). George Okeyo has collaborated with scholars based in Kenya, United Kingdom and Cameroon. Frequent co-authors include Michael Kimwele, Erick Odhiambo Omuya, Liming Chen, Hui Wang, Roy Sterritt, Waweru Mwangi, Chris Nugent, Frank T. Ndjomatchoua, Henri E. Z. Tonnang and Samira A. Mohamed. Their work appears in journals such as Applied Sciences, Pervasive and Mobile Computing, Egyptian Informatics Journal, Expert Systems with Applications and Journal of Ambient Intelligence and Humanized Computing.

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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