Obioma Pelka
- Artificial Intelligence
- Computer Vision and Pattern Recognition
- Radiology, Nuclear Medicine and Imaging
- Biomedical Engineering
- Molecular Biology
- Co-authors
- Christoph M. FriedrichFelix NensaAlba García Seco de HerreraHenning MüllerAsma Ben AbachaJohannes RückertSven KoitkaRené Hosch
- Topics
- Radiomics and Machine Learning in Medical Imaging (6 papers)Biomedical Text Mining and Ontologies (4 papers)Topic Modeling (4 papers)
- Journals
- SHILAP Revista de lepidopterologíaPLoS ONEJournal of Medical Internet Research
- Partner nations
- GermanyNetherlandsKazakhstan
In The Last Decade
Obioma Pelka
15 papers receiving 93 citations
Peers
Comparison fields: 5 of 39
- Artificial Intelligence 54
- Computer Vision and Pattern Recognition 46
- Radiology, Nuclear Medicine and Imaging 37
- Biomedical Engineering 12
- Molecular Biology 9
Countries citing papers authored by Obioma Pelka
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 3 | |
| 5 | 7 | |
| 6 | Overview of the ImageCLEFmed 2021 Concept & Caption Prediction Task. | 7 |
| 7 | Combination of Image and Location Information for Snake Species Identification using Object Detection and EfficientNets. | 5 |
| 8 | Overview of the ImageCLEFmed 2020 Concept Prediction Task: Medical Image Understanding. | 5 |
| 9 | 14 | |
| 10 | Overview of the ImageCLEFmed 2019 concept detection task | 5 |
| 11 | 5 | |
| 12 | 3 | |
| 13 | 15 | |
| 14 | 6 | |
| 15 | Keyword Generation for Biomedical Image Retrieval with Recurrent Neural Networks. | 4 |
| 16 | 6 | |
| 17 | FHDO Biomedical Computer Science Group at Medical Classification Task of ImageCLEF 2015. | 18 |
About Obioma Pelka
Obioma Pelka is a scholar working on Health Informatics, Radiology, Nuclear Medicine and Imaging and Artificial Intelligence, having authored 17 papers that have together received 104 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (6 papers), Biomedical Text Mining and Ontologies (4 papers) and Topic Modeling (4 papers). The work is most often cited by research in Health Informatics (9 citations), Computer Vision and Pattern Recognition (46 citations) and Artificial Intelligence (54 citations). Obioma Pelka has collaborated with scholars based in Germany, Netherlands and Kazakhstan. Frequent co-authors include Christoph M. Friedrich, Felix Nensa, Alba García Seco de Herrera, Henning Müller, Asma Ben Abacha, Johannes Rückert, Sven Koitka, René Hosch, Giulia Baldini and Moon Kim. Their work appears in journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Medical Internet Research.
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.