Nonso Nnamoko

420 total citations
22 papers, 242 citations indexed

About

Nonso Nnamoko is a scholar working on Artificial Intelligence, Health Information Management and Information Systems. According to data from OpenAlex, Nonso Nnamoko has authored 22 papers receiving a total of 242 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Artificial Intelligence, 4 papers in Health Information Management and 4 papers in Information Systems. Recurrent topics in Nonso Nnamoko's work include Imbalanced Data Classification Techniques (4 papers), Artificial Intelligence in Healthcare (3 papers) and Biometric Identification and Security (2 papers). Nonso Nnamoko is often cited by papers focused on Imbalanced Data Classification Techniques (4 papers), Artificial Intelligence in Healthcare (3 papers) and Biometric Identification and Security (2 papers). Nonso Nnamoko collaborates with scholars based in United Kingdom, India and France. Nonso Nnamoko's co-authors include Ioannis Korkontzelos, David England, Abir Hussain, L. J. Boyd, Bedanta Roy, Jeffrey M. Ring, James Wilson, Jiten Vora, James R. Wilson and Stuart J. Fairclough and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of the American Medical Informatics Association and Computer Methods and Programs in Biomedicine.

In The Last Decade

Nonso Nnamoko

19 papers receiving 228 citations

Peers

Nonso Nnamoko
Comparison fields: 5 of 87
  • Artificial Intelligence 109
  • Health Information Management 78
  • Information Systems 30
  • Public Health, Environmental and Occupational Health 24
  • Computer Vision and Pattern Recognition 21
Replace K. Shailaja with:
K. Shailaja India
Nehad M. Ibrahim Saudi Arabia
Shaveta Malik India
Purwono Purwono Indonesia
Mamta Bansal India
Shanmugam Sundaramurthy India
Bankat M. Patil India
N. Komal Kumar India
Marzia Hoque Tania United Kingdom
Yasin Görmez Türkiye
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Citations per field, relative to Nonso Nnamoko
Nonso Nnamoko · 1×
Citations per year, relative to Nonso Nnamoko
Nonso Nnamoko · 1×

Countries citing papers authored by Nonso Nnamoko

Since Specialization
Citations

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

Fields of papers citing papers by Nonso Nnamoko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nonso Nnamoko

This figure shows the co-authorship network connecting the top 25 collaborators of Nonso Nnamoko. A scholar is included among the top collaborators of Nonso Nnamoko 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 Nonso Nnamoko. Nonso Nnamoko 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
# Work Indexed citations
1 0
2 2
3 0
4 0
5 4
6 1
7 6
8 2
9 3
10 16
11 6
12 8
13 39
14 8
15 100
16 21
17 4
18 5
19
Fuzzy Expert System for Type 2 Diabetes Mellitus (T2DM) Management Using Dual Inference Mechanism
5
20 10

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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