Daniel Dooyum Uyeh

877 citations
45 papers · 433 indexed · h-index 13
Topics
Smart Agriculture and AI (12 papers)Greenhouse Technology and Climate Control (10 papers)Evolutionary Algorithms and Applications (5 papers)
Journals
SHILAP Revista de lepidopterologíaScientific ReportsIEEE Access

In The Last Decade

Daniel Dooyum Uyeh

42 papers receiving 423 citations

Peers

Daniel Dooyum Uyeh
Comparison fields: 5 of 90
  • Plant Science 138
  • Food Science 46
  • Animal Science and Zoology 40
  • Ecology 39
  • Artificial Intelligence 37
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Xinxing Li China
Philip Shine Ireland
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Supachai Pathumnakul Thailand
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Daniel Dooyum Uyeh relative to João Gilberto Mendes dos Reis Brazil João Gilberto Mendes dos Reis's profile →
Citations per field
00.5×6.2×
João Gilberto Mendes dos Reis · 1×
Citations per year

Countries citing papers authored by Daniel Dooyum Uyeh

Since Specialization
Citations

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

Fields of papers citing papers by Daniel Dooyum Uyeh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Dooyum Uyeh. 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 Daniel Dooyum Uyeh. The network helps show where Daniel Dooyum Uyeh may publish in the future.

Co-authorship network of co-authors of Daniel Dooyum Uyeh

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel Dooyum Uyeh. A scholar is included among the top collaborators of Daniel Dooyum Uyeh 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 Daniel Dooyum Uyeh. Daniel Dooyum Uyeh 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
#WorkIndexed citations
1 0
2 1
3 1
4 6
5 3
6 19
7 9
8 12
9 13
10 6
11 5
12 1
13 15
14 62
15 2
16 7
17 4
18 15
19
Trends in Automation and Robotics in Protected Horticulture
1
20 13

About Daniel Dooyum Uyeh

Daniel Dooyum Uyeh is a scholar working on General Energy, Animal Science and Zoology and Plant Science, having authored 45 papers that have together received 433 indexed citations. Recurring topics across this work include Smart Agriculture and AI (12 papers), Greenhouse Technology and Climate Control (10 papers) and Evolutionary Algorithms and Applications (5 papers). The work is most often cited by research in General Energy (9 citations), Business and International Management (8 citations) and Animal Science and Zoology (40 citations). Daniel Dooyum Uyeh has collaborated with scholars based in South Korea, United States and Russia. Frequent co-authors include Tusan Park, Yushin Ha, Rammohan Mallipeddi, Alexey Mikhaylov, K. G. Gebremedhin, Senorpe Asem-Hiablie, Serhat Yüksel, Miraj Ahmed Bhuiyan, Mir Sayed Shah Danish and Hasan Dınçer. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and IEEE Access.

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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