Obioma Pelka

900 total citations
17 papers, 104 citations indexed

About

Obioma Pelka is a scholar working on Artificial Intelligence, Radiology, Nuclear Medicine and Imaging and Computer Vision and Pattern Recognition. According to data from OpenAlex, Obioma Pelka has authored 17 papers receiving a total of 104 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Artificial Intelligence, 6 papers in Radiology, Nuclear Medicine and Imaging and 5 papers in Computer Vision and Pattern Recognition. Recurrent topics in Obioma Pelka's work include Radiomics and Machine Learning in Medical Imaging (6 papers), Biomedical Text Mining and Ontologies (4 papers) and Topic Modeling (4 papers). Obioma Pelka is often cited by papers focused on Radiomics and Machine Learning in Medical Imaging (6 papers), Biomedical Text Mining and Ontologies (4 papers) and Topic Modeling (4 papers). Obioma Pelka collaborates with scholars based in Germany, Netherlands and Canada. Obioma Pelka's co-authors include Christoph M. Friedrich, Felix Nensa, Henning Müller, Alba García Seco de Herrera, Johannes Haubold, Christian Weimar, Jens Kleesiek, Giulia Baldini, Johannes Rückert and Asma Ben Abacha and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Medical Internet Research.

In The Last Decade

Obioma Pelka

15 papers receiving 93 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Obioma Pelka Germany 7 54 46 37 12 9 17 104
Ziqi Yu China 7 76 1.4× 46 1.0× 92 2.5× 7 0.6× 12 1.3× 15 170
Zhijian Yang United States 6 27 0.5× 18 0.4× 30 0.8× 13 1.1× 30 3.3× 9 156
Tianyuan Yao United States 6 48 0.9× 47 1.0× 48 1.3× 7 0.6× 7 0.8× 29 118
Jungkyu Park United States 3 106 2.0× 26 0.6× 81 2.2× 11 0.9× 7 0.8× 4 132
Rafsanjany Kushol Canada 9 27 0.5× 61 1.3× 52 1.4× 14 1.2× 2 0.2× 14 162
Adrià Casamitjana United Kingdom 7 23 0.4× 36 0.8× 52 1.4× 18 1.5× 6 0.7× 15 118
Qingyi Tao Singapore 5 40 0.7× 80 1.7× 24 0.6× 10 0.8× 5 0.6× 10 124
Ioanna Skampardoni United States 6 21 0.4× 14 0.3× 16 0.4× 8 0.7× 26 2.9× 7 126
Shenghua Cheng China 7 54 1.0× 46 1.0× 20 0.5× 21 1.8× 5 0.6× 17 115

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).

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.

Co-authorship network of co-authors of Obioma Pelka

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

All Works

17 of 17 papers shown
1.
Pelka, Obioma, Matthias May, Andreas Bucher, et al.. (2025). Democratizing AI in Healthcare with Open Medical Inference (OMI): Protocols, Data Exchange, and AI Integration. RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren. 198(2). 173–184.
2.
3.
Pelka, Obioma, et al.. (2025). Using a Diverse Test Suite to Assess Large Language Models on Fast Health Care Interoperability Resources Knowledge: Comparative Analysis. Journal of Medical Internet Research. 27. e73540–e73540.
4.
Baldini, Giulia, René Hosch, Sven Koitka, et al.. (2024). Addressing the Contrast Media Recognition Challenge. Investigative Radiology. 59(9). 635–645. 3 indexed citations
5.
Koitka, Sven, Giulia Baldini, Johannes Haubold, et al.. (2024). SAROS: A dataset for whole-body region and organ segmentation in CT imaging. Scientific Data. 11(1). 483–483. 7 indexed citations
6.
Pelka, Obioma, et al.. (2021). Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task.. ArODES (HES-SO (https://www.hes-so.ch/)). 1101–1112. 7 indexed citations
7.
Pelka, Obioma, Christoph M. Friedrich, Alba García Seco de Herrera, & Henning Müller. (2020). Overview of the ImageCLEFmed 2020 Concept Prediction Task: Medical Image Understanding.. Open Access at Essex (University of Essex). 5 indexed citations
8.
Pelka, Obioma, et al.. (2020). Combination of Image and Location Information for Snake Species Identification using Object Detection and EfficientNets.. CLEF (Working Notes). 5 indexed citations
9.
Pelka, Obioma, Christoph M. Friedrich, Felix Nensa, et al.. (2020). Sociodemographic data and APOE-ε4 augmentation for MRI-based detection of amnestic mild cognitive impairment using deep learning systems. PLoS ONE. 15(9). e0236868–e0236868. 14 indexed citations
10.
Pelka, Obioma, Christoph M. Friedrich, Alba García Seco de Herrera, & Henning Müller. (2019). Overview of the ImageCLEFmed 2019 concept detection task. ArODES (HES-SO (https://www.hes-so.ch/)). 5 indexed citations
11.
Pelka, Obioma, Felix Nensa, & Christoph M. Friedrich. (2019). Branding - Fusion of Meta Data and Musculoskeletal Radiographs for Multi-Modal Diagnostic Recognition. Universitätsbibliographie, Universität Duisburg-Essen. 467–475. 5 indexed citations
12.
Pelka, Obioma, Felix Nensa, & Christoph M. Friedrich. (2019). Variations on Branding with Text Occurrence for Optimized Body Parts Classification. PubMed. 521. 890–894. 3 indexed citations
13.
Pelka, Obioma, Felix Nensa, & Christoph M. Friedrich. (2018). Annotation of enhanced radiographs for medical image retrieval with deep convolutional neural networks. PLoS ONE. 13(11). e0206229–e0206229. 15 indexed citations
14.
Pelka, Obioma, Felix Nensa, & Christoph M. Friedrich. (2018). Adopting Semantic Information of Grayscale Radiographs for Image Classification and Retrieval. 179–187. 6 indexed citations
15.
Pelka, Obioma & Christoph M. Friedrich. (2017). Keyword Generation for Biomedical Image Retrieval with Recurrent Neural Networks.. CLEF (Working Notes). 4 indexed citations
16.
Pelka, Obioma & Christoph M. Friedrich. (2016). Modality prediction of biomedical literature images using multimodal feature representation. SHILAP Revista de lepidopterología. 6 indexed citations
17.
Pelka, Obioma & Christoph M. Friedrich. (2015). FHDO Biomedical Computer Science Group at Medical Classification Task of ImageCLEF 2015.. CLEF (Working Notes). 18 indexed citations

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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