Chinedu Innocent Nwoye

About

Chinedu Innocent Nwoye is a scholar working on Surgery, Computer Vision and Pattern Recognition and Biomedical Engineering. According to data from OpenAlex, Chinedu Innocent Nwoye has authored 8 papers receiving a total of 156 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Surgery, 3 papers in Computer Vision and Pattern Recognition and 2 papers in Biomedical Engineering. Recurrent topics in Chinedu Innocent Nwoye’s work include Surgical Simulation and Training (6 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Digital Imaging in Medicine (2 papers). Chinedu Innocent Nwoye is often cited by papers focused on Surgical Simulation and Training (6 papers), Artificial Intelligence in Healthcare and Education (2 papers) and Digital Imaging in Medicine (2 papers). Chinedu Innocent Nwoye collaborates with scholars based in France, Italy and Nigeria. Chinedu Innocent Nwoye's co-authors include Nicolas Padoy, Didier Mutter, Jacques Marescaux, Tong Yu, Pietro Mascagni, Cristians González, Barbara Seeliger, Deepak Alapatt, Vinkle Srivastav and Alexandros Karargyris and has published in prestigious journals such as Medical Image Analysis, Pattern Recognition Letters and International Journal of Computer Assisted Radiology and Surgery.

In The Last Decade

Co-authorship network of co-authors of Chinedu Innocent Nwoye i

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Fields of papers citing papers by Chinedu Innocent Nwoye

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chinedu Innocent Nwoye. 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 Chinedu Innocent Nwoye. The network helps show where Chinedu Innocent Nwoye may publish in the future.

Countries citing papers authored by Chinedu Innocent Nwoye

Since Specialization

Citations

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

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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