C.M. Onyango

656 citations
29 papers · 484 · h-index 11

Impact in

    • Spectroscopy and Chemometric Analyses
    • Smart Agriculture and AI
    • Leaf Properties and Growth Measurement
    • Greenhouse Technology and Climate Control

Papers in

C.M. Onyango

28 papers receiving 428 citations

Peers

C.M. Onyango
Comparison fields: 5 of 79
  • Analytical Chemistry 111
  • Plant Science 249
  • Computer Vision and Pattern Recognition 99
  • Small Animals 34
  • Ecology 107
Replace Jinglei Tang with:
Jinglei Tang China
Anders Krogh Mortensen Denmark
Luciano Vieira Koenigkan Brazil
David Reiser Germany
Ali Seydi Keçeli Türkiye
Aydın Kaya Türkiye
Yan‐Fu Kuo Taiwan
Nícolas Alessandro de Souza Belete Brazil
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Citations per field
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Citations per year

Countries citing papers authored by C.M. Onyango

Since Specialization
Citations

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

Fields of papers citing papers by C.M. Onyango

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.M. Onyango. 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 C.M. Onyango. The network helps show where C.M. Onyango may publish in the future.

Co-authors

The 18 scholars most cited alongside C.M. Onyango, 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 C.M. Onyango Line = papers co-authored together C.M. Onyango links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200381
2 200074
3 200364
4 199752
5 200133
6 199024
7 200119
8
High speed sorting of potatoes using computer vision
198818
9 200217
10 200413
11 200512
12 199510
13 20059
14 20017
15 19957
16
Image analysis for biological objects
19897
17 20006
18 20006
19 19884
20 19964

About C.M. Onyango

C.M. Onyango is a scholar working on Plant Science, Computer Vision and Pattern Recognition, Atomic and Molecular Physics, and Optics, Analytical Chemistry and Ecology, having authored 29 papers that have together received 484 indexed citations. Recurring topics across this work include Smart Agriculture and AI (7 papers), Color Science and Applications (7 papers), Spectroscopy and Chemometric Analyses (6 papers), Remote Sensing in Agriculture (4 papers), Leaf Properties and Growth Measurement (4 papers), Medical Image Segmentation Techniques (3 papers), Greenhouse Technology and Climate Control (3 papers) and Computer Graphics and Visualization Techniques (3 papers). The work is most often cited by research in Analytical Chemistry (111 citations), Plant Science (249 citations), Computer Vision and Pattern Recognition (99 citations), Small Animals (34 citations) and Ecology (107 citations). C.M. Onyango has collaborated with scholars based in United Kingdom, Denmark and Kenya. Frequent co-authors include J.A. Marchant, R.D. Tillett, Hans Jørgen Andersen, N.D. Tillett, R. J. Reader, K. Phelps, S. D. Hordley, Paul F. Davis, Graham D. Finlayson and Andrew Mead. Their work appears in journals such as Computers and Electronics in Agriculture, Image and Vision Computing, Journal of the Optical Society of America A, International Journal of Imaging Systems and Technology and Precision Agriculture.

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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