Alexi Baidoshvili
- Artificial Intelligence top 2%
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Oncology
- Surgery
- Co-authors
- Jeroen van der LaakGeert LitjensOscar GeessinkHans W.M. NiessenBabak Ehteshami BejnordiVictor W.M. van HinsberghFrancesco CiompiIrıs D. Nagtegaal
- Topics
- AI in cancer detection (8 papers)Radiomics and Machine Learning in Medical Imaging (4 papers)Advanced Glycation End Products research (4 papers)
- Partner nations
- NetherlandsUnited StatesSweden
In The Last Decade
Alexi Baidoshvili
21 papers receiving 902 citations
Peers
Comparison fields: 5 of 87
- Artificial Intelligence 492
- Radiology, Nuclear Medicine and Imaging 346
- Computer Vision and Pattern Recognition 193
- Oncology 149
- Surgery 128
Countries citing papers authored by Alexi Baidoshvili
This map shows the geographic impact of Alexi Baidoshvili'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 Alexi Baidoshvili with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alexi Baidoshvili more than expected).
Fields of papers citing papers by Alexi Baidoshvili
This network shows the impact of papers produced by Alexi Baidoshvili. 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 Alexi Baidoshvili. The network helps show where Alexi Baidoshvili may publish in the future.
Co-authorship network of co-authors of Alexi Baidoshvili
This figure shows the co-authorship network connecting the top 25 collaborators of Alexi Baidoshvili. A scholar is included among the top collaborators of Alexi Baidoshvili 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 Alexi Baidoshvili. Alexi Baidoshvili is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 89 | |
| 5 | 24 | |
| 6 | 16 | |
| 7 | 76 | |
| 8 | 216 | |
| 9 | 128 | |
| 10 | 29 | |
| 11 | 1 | |
| 12 | 5 | |
| 13 | 21 | |
| 14 | Degeneration and atherosclerosis inducing increased deposition of type IIA secretory phospholipase A2, C-reactive protein and complement in aortic valves cause neutrophilic granulocyte influx. | 7 |
| 15 | 42 | |
| 16 | 27 | |
| 17 | 88 | |
| 18 | 34 | |
| 19 | 16 | |
| 20 | 38 |
About Alexi Baidoshvili
Alexi Baidoshvili is a scholar working on Clinical Biochemistry, Biophysics and Artificial Intelligence, having authored 22 papers that have together received 920 indexed citations. Recurring topics across this work include AI in cancer detection (8 papers), Radiomics and Machine Learning in Medical Imaging (4 papers) and Advanced Glycation End Products research (4 papers). The work is most often cited by research in Health Informatics (43 citations), Biophysics (113 citations) and Clinical Biochemistry (116 citations). Alexi Baidoshvili has collaborated with scholars based in Netherlands, United States and Sweden. Frequent co-authors include Jeroen van der Laak, Geert Litjens, Oscar Geessink, Hans W.M. Niessen, Babak Ehteshami Bejnordi, Victor W.M. van Hinsbergh, Francesco Ciompi, Irıs D. Nagtegaal, Casper G. Schalkwijk and P. J. van Diest. Their work appears in journals such as Scientific Reports, CHEST Journal and Arteriosclerosis Thrombosis and Vascular Biology.
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.