Krishna Chaitanya
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Biomedical Engineering
- Neurology
- Co-authors
- Ender KonukoğluErtunç ErdilNeerav KaraniTimon ElmerChristoph StadtfeldAnton S. BeckerAndreas M. HötkerOlivio F. Donati
- Topics
- Domain Adaptation and Few-Shot Learning (2 papers)Radiomics and Machine Learning in Medical Imaging (2 papers)Advanced Neural Network Applications (2 papers)
- Cited by
- Computer Vision and Pattern RecognitionRadiology, Nuclear Medicine and ImagingArtificial Intelligence
- Journals
- SHILAP Revista de lepidopterologíaMedical Image AnalysisProgress in Photovoltaics Research and Applications
- Partner nations
- IndiaSwitzerlandUnited States
In The Last Decade
Krishna Chaitanya
23 papers receiving 365 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Computer Vision and Pattern Recognition 161
- Artificial Intelligence 140
- Radiology, Nuclear Medicine and Imaging 118
- Biomedical Engineering 54
- Neurology 34
Countries citing papers authored by Krishna Chaitanya
This map shows the geographic impact of Krishna Chaitanya'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 Krishna Chaitanya with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Krishna Chaitanya more than expected).
Fields of papers citing papers by Krishna Chaitanya
This network shows the impact of papers produced by Krishna Chaitanya. 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 Krishna Chaitanya. The network helps show where Krishna Chaitanya may publish in the future.
Co-authorship network of co-authors of Krishna Chaitanya
This figure shows the co-authorship network connecting the top 25 collaborators of Krishna Chaitanya. A scholar is included among the top collaborators of Krishna Chaitanya 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 Krishna Chaitanya. Krishna Chaitanya is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentationbreakdown → | 112 |
| 5 | 103 | |
| 6 | 28 | |
| 7 | 41 | |
| 8 | 4 | |
| 9 | 21 | |
| 10 | 3 | |
| 11 | Subarachnoid Hemorrhage with Cerebral Salt Wasting Leading to Cerebral Ischemia | 1 |
| 12 | 9 | |
| 13 | 5 | |
| 14 | Autonomous Extraction of LPI Signals Using Time-Frequency Techniques | 1 |
| 15 | 4 | |
| 16 | Evaluating Fiscal Performance Of Andhra Pradesh Using Composite Index Model | 3 |
| 17 | The sociology of freedom | 0 |
| 18 | 0 | |
| 19 | A History Of Malayalam Literature | 11 |
| 20 | 7 |
About Krishna Chaitanya
Krishna Chaitanya is a scholar working on Developmental Biology, Internal Medicine and Computer Vision and Pattern Recognition, having authored 28 papers that have together received 381 indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (2 papers), Radiomics and Machine Learning in Medical Imaging (2 papers) and Advanced Neural Network Applications (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (161 citations), Radiology, Nuclear Medicine and Imaging (118 citations) and Artificial Intelligence (140 citations). Krishna Chaitanya has collaborated with scholars based in India, Switzerland and United States. Frequent co-authors include Ender Konukoğlu, Ertunç Erdil, Neerav Karani, Timon Elmer, Christoph Stadtfeld, Anton S. Becker, Andreas M. Hötker, Olivio F. Donati, Urs J. Muehlematter and Khoschy Schawkat. Their work appears in journals such as SHILAP Revista de lepidopterología, Medical Image Analysis and Progress in Photovoltaics Research and Applications.
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.