Obioma Pelka

15 papers and 80 indexed citations i.

About

Obioma Pelka is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Obioma Pelka has authored 15 papers receiving a total of 80 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Obioma Pelka’s work include Radiomics and Machine Learning in Medical Imaging (5 papers), Multimodal Machine Learning Applications (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Obioma Pelka is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (5 papers), Multimodal Machine Learning Applications (4 papers) and Biomedical Text Mining and Ontologies (4 papers). Obioma Pelka collaborates with scholars based in Germany, United States and United Kingdom. Obioma Pelka's co-authors include Christoph M. Friedrich, Felix Nensa, Henning Müller, Alba García Seco de Herrera, Giulia Baldini, Christoph Mönninghoff, Péter Horn, Johannes Haubold, Sara Schramm and Asma Ben Abacha and has published in prestigious journals such as PLoS ONE, Journal of Medical Internet Research and Investigative Radiology.

In The Last Decade

Co-authorship network of co-authors of Obioma Pelka i

Fields of papers citing papers by Obioma Pelka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Countries citing papers authored by Obioma Pelka

Since Specialization
Citations

This map shows the geographic impact of Obioma Pelka'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 Obioma Pelka with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Obioma Pelka 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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2025