Maria Kallergi
- Artificial Intelligence top 2%
- Computer Vision and Pattern Recognition top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Pulmonary and Respiratory Medicine top 10%
- Oncology
- Co-authors
- Laurence P. ClarkeRobert A. ClarkViren JainWei QianClaudia G. BermanElizabeth A. KrupinskiMarios A. GavrielidesYang Zheng
- Topics
- AI in cancer detection (30 papers)Radiomics and Machine Learning in Medical Imaging (13 papers)Digital Radiography and Breast Imaging (12 papers)
- Cited by
- Computer Vision and Pattern RecognitionArtificial IntelligenceRadiology, Nuclear Medicine and Imaging
- Partner nations
- United StatesGreeceCanada
In The Last Decade
Maria Kallergi
64 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 108
- Artificial Intelligence 685
- Computer Vision and Pattern Recognition 541
- Radiology, Nuclear Medicine and Imaging 448
- Pulmonary and Respiratory Medicine 241
- Oncology 114
Countries citing papers authored by Maria Kallergi
This map shows the geographic impact of Maria Kallergi'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 Maria Kallergi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Kallergi more than expected).
Fields of papers citing papers by Maria Kallergi
This network shows the impact of papers produced by Maria Kallergi. 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 Maria Kallergi. The network helps show where Maria Kallergi may publish in the future.
Co-authorship network of co-authors of Maria Kallergi
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Kallergi. A scholar is included among the top collaborators of Maria Kallergi 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 Maria Kallergi. Maria Kallergi 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 | 8 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 8 | |
| 7 | 12 | |
| 8 | 10 | |
| 9 | 8 | |
| 10 | 70 | |
| 11 | 66 | |
| 12 | 103 | |
| 13 | 29 | |
| 14 | 184 | |
| 15 | 45 | |
| 16 | 41 | |
| 17 | 25 | |
| 18 | 31 | |
| 19 | 81 | |
| 20 | 37 |
About Maria Kallergi
Maria Kallergi is a scholar working on Radiology, Nuclear Medicine and Imaging, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 67 papers that have together received 1.2k indexed citations. Recurring topics across this work include AI in cancer detection (30 papers), Radiomics and Machine Learning in Medical Imaging (13 papers) and Digital Radiography and Breast Imaging (12 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (541 citations), Artificial Intelligence (685 citations) and Radiology, Nuclear Medicine and Imaging (448 citations). Maria Kallergi has collaborated with scholars based in United States, Greece and Canada. Frequent co-authors include Laurence P. Clarke, Robert A. Clark, Viren Jain, Wei Qian, Claudia G. Berman, Elizabeth A. Krupinski, Marios A. Gavrielides, Robert A. Clark, Yang Zheng and Lihua Li. Their work appears in journals such as Journal of Applied Physics, Radiology and IEEE Transactions on Medical Imaging.
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.