Ioannis Kalatzis
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Computer Vision and Pattern Recognition top 5%
- Neurology top 10%
- Cognitive Neuroscience top 10%
- Co-authors
- D. CavourasDimitris GlotsosSpiros KostopoulosPantelis GeorgiadisGeorge NikiforidisErrikos-Chaim VentourasEkaterini SolomouEmmanouil Athanasiadis
- Topics
- Radiomics and Machine Learning in Medical Imaging (25 papers)AI in cancer detection (25 papers)Gene expression and cancer classification (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaBioinformaticsMedical Physics
- Partner nations
- GreeceUnited KingdomCambodia
In The Last Decade
Ioannis Kalatzis
70 papers receiving 895 citations
Peers
Comparison fields: 5 of 116
- Radiology, Nuclear Medicine and Imaging 356
- Artificial Intelligence 294
- Computer Vision and Pattern Recognition 193
- Neurology 131
- Cognitive Neuroscience 130
Countries citing papers authored by Ioannis Kalatzis
This map shows the geographic impact of Ioannis Kalatzis'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 Ioannis Kalatzis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ioannis Kalatzis more than expected).
Fields of papers citing papers by Ioannis Kalatzis
This network shows the impact of papers produced by Ioannis Kalatzis. 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 Ioannis Kalatzis. The network helps show where Ioannis Kalatzis may publish in the future.
Co-authorship network of co-authors of Ioannis Kalatzis
This figure shows the co-authorship network connecting the top 25 collaborators of Ioannis Kalatzis. A scholar is included among the top collaborators of Ioannis Kalatzis 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 Ioannis Kalatzis. Ioannis Kalatzis is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 7 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 3 | |
| 5 | 11 | |
| 6 | 10 | |
| 7 | 20 | |
| 8 | 17 | |
| 9 | 3 | |
| 10 | 15 | |
| 11 | 22 | |
| 12 | 6 | |
| 13 | 0 | |
| 14 | 108 | |
| 15 | 10 | |
| 16 | 8 | |
| 17 | 22 | |
| 18 | 37 | |
| 19 | 3 | |
| 20 | 63 |
About Ioannis Kalatzis
Ioannis Kalatzis is a scholar working on Radiology, Nuclear Medicine and Imaging, Medical Laboratory Technology and Biophysics, having authored 73 papers that have together received 946 indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (25 papers), AI in cancer detection (25 papers) and Gene expression and cancer classification (11 papers). The work is most often cited by research in Neurology (131 citations), Radiology, Nuclear Medicine and Imaging (356 citations) and Biophysics (67 citations). Ioannis Kalatzis has collaborated with scholars based in Greece, United Kingdom and Cambodia. Frequent co-authors include D. Cavouras, Dimitris Glotsos, Spiros Kostopoulos, Pantelis Georgiadis, George Nikiforidis, George Nikiforidis, Errikos-Chaim Ventouras, Ekaterini Solomou, Emmanouil Athanasiadis and George C. Kagadis. Their work appears in journals such as SHILAP Revista de lepidopterología, Bioinformatics and Medical Physics.
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.