Daniel A. Abaye

1.7k citations
26 papers · 1.2k indexed · 2 hit papers · h-index 13
Topics
Mass Spectrometry Techniques and Applications (5 papers)Analytical Chemistry and Chromatography (4 papers)Soil Carbon and Nitrogen Dynamics (4 papers)
Journals
SHILAP Revista de lepidopterologíaSoil Biology and BiochemistryRSC Advances

In The Last Decade

Daniel A. Abaye

24 papers receiving 1.1k citations

Hit Papers

Basic Tenets of Classification Algorithms K-Nearest-Neigh...20192026202120232020201950100150200

Peers

Daniel A. Abaye
Comparison fields: 5 of 176
  • Soil Science 411
  • Ecology 269
  • Environmental Chemistry 172
  • Plant Science 154
  • Artificial Intelligence 112
Replace Matt Aitkenhead with:
Matt Aitkenhead United Kingdom
Guoliang Ji China
Yuanyuan Sun China
Shuqing Li China
Jong‐Sik Lee South Korea
Jin‐Seog Kim South Korea
Guomin Huang China
Xinxin Jin China
Csilla Farkas Hungary
Daniel A. Abaye relative to Matt Aitkenhead United Kingdom Matt Aitkenhead's profile →
Citations per field
00.5×1.5×1.8×
Matt Aitkenhead · 1×
Citations per year

Countries citing papers authored by Daniel A. Abaye

Since Specialization
Citations

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

Fields of papers citing papers by Daniel A. Abaye

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniel A. Abaye

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel A. Abaye. A scholar is included among the top collaborators of Daniel A. Abaye 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 A. Abaye. Daniel A. Abaye 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 14
2
Basic Tenets of Classification Algorithms K-Nearest-Neighbor, Support Vector Machine, Random Forest and Neural Network: A Reviewbreakdown →
249
3 2
4 1
5 5
6 1
7 4
8 0
9 5
10 17
11 10
12 12
13 3
14 16
15 24
16 6
17 14
18 5
19 197
20 18

About Daniel A. Abaye

Daniel A. Abaye is a scholar working on Horticulture, Soil Science and Pharmacology, having authored 26 papers that have together received 1.2k indexed citations. Recurring topics across this work include Mass Spectrometry Techniques and Applications (5 papers), Analytical Chemistry and Chromatography (4 papers) and Soil Carbon and Nitrogen Dynamics (4 papers). The work is most often cited by research in Soil Science (411 citations), Environmental Chemistry (172 citations) and Health Information Management (49 citations). Daniel A. Abaye has collaborated with scholars based in Ghana, United Kingdom and Australia. Frequent co-authors include Ernest Yeboah Boateng, Joseph Otoo, Petra Marschner, Daniel V. Murphy, E. Stockdale, W. R. Cookson, K. W. T. Goulding, M. Osman, Christine Watson and Ian M. Clark. Their work appears in journals such as SHILAP Revista de lepidopterología, Soil Biology and Biochemistry and RSC Advances.

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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