Nkiruka Odu

414 citations
5 papers · 80 indexed · h-index 5
Topics
Recommender Systems and Techniques (2 papers)Advanced Text Analysis Techniques (1 paper)Machine Learning in Bioinformatics (1 paper)
Journals
Informatics in Medicine UnlockedInternational Journal of Information TechnologyAdvances in Science Technology and Engineering Systems Journal
Partner nations
NigeriaItalyJapan

In The Last Decade

Nkiruka Odu

5 papers receiving 74 citations

Peers

Nkiruka Odu
Comparison fields: 5 of 52
  • Computer Vision and Pattern Recognition 23
  • Public Health, Environmental and Occupational Health 20
  • Artificial Intelligence 19
  • Health Information Management 15
  • Information Systems 13
Replace Arash Mehrjou with:
Arash Mehrjou Switzerland
Elli Kanal United States
Gema Ibáñez-Sánchez Spain
Anirudha Ghosh India
Martin Chapman United Kingdom
Apinan Hasthanasombat United Kingdom
Ibrahim Abdullahi Nigeria
Ana Carolina Borges Monteiro Brazil
Jonathan Gluck United States
Zhaozhi Qian United Kingdom
Nkiruka Odu relative to Arash Mehrjou Switzerland Arash Mehrjou's profile →
Citations per field
00.5×6.7×
Arash Mehrjou · 1×
Citations per year

Countries citing papers authored by Nkiruka Odu

Since Specialization
Citations

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

Fields of papers citing papers by Nkiruka Odu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nkiruka Odu

This figure shows the co-authorship network connecting the top 25 collaborators of Nkiruka Odu. A scholar is included among the top collaborators of Nkiruka Odu 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 Nkiruka Odu. Nkiruka Odu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

5 of 5 papers shown
#WorkIndexed citations
1 7
2 6
3 50
4 5
5 12

About Nkiruka Odu

Nkiruka Odu is a scholar working on Information Systems, Management Science and Operations Research and Artificial Intelligence, having authored 5 papers that have together received 80 indexed citations. Recurring topics across this work include Recommender Systems and Techniques (2 papers), Advanced Text Analysis Techniques (1 paper) and Machine Learning in Bioinformatics (1 paper). The work is most often cited by research in Health Information Management (15 citations), Health Informatics (4 citations) and Computational Mathematics (1 citation). Nkiruka Odu has collaborated with scholars based in Nigeria, Italy and Japan. Frequent co-authors include Rajesh Prasad, Mohammed Hassan and Mohamed Hamada. Their work appears in journals such as Informatics in Medicine Unlocked, International Journal of Information Technology and Advances in Science Technology and Engineering Systems Journal.

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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