Aditya Nori
- Health Informatics top 0.1%
- Radiology, Nuclear Medicine and Imaging top 5%
- Artificial Intelligence top 5%
- Health Information Management top 2%
- Biomedical Engineering
- Co-authors
- Junaid BajwaBryan WilliamsUsman MunirOzan OktayAnton SchwaighoferJavier Alvarez-ValleAnja ThiemeDavid Carter
- Topics
- Radiomics and Machine Learning in Medical Imaging (4 papers)Coding theory and cryptography (4 papers)Error Correcting Code Techniques (4 papers)
- Partner nations
- United KingdomUnited StatesIndia
In The Last Decade
Aditya Nori
17 papers receiving 1.0k citations
Hit Papers
Peers
Comparison fields: 5 of 139
- Health Informatics 427
- Radiology, Nuclear Medicine and Imaging 307
- Artificial Intelligence 271
- Health Information Management 100
- Biomedical Engineering 99
Countries citing papers authored by Aditya Nori
This map shows the geographic impact of Aditya Nori'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 Aditya Nori with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Aditya Nori more than expected).
Fields of papers citing papers by Aditya Nori
This network shows the impact of papers produced by Aditya Nori. 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 Aditya Nori. The network helps show where Aditya Nori may publish in the future.
Co-authorship network of co-authors of Aditya Nori
This figure shows the co-authorship network connecting the top 25 collaborators of Aditya Nori. A scholar is included among the top collaborators of Aditya Nori 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 Aditya Nori. Aditya Nori is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 11 | |
| 2 | 14 | |
| 3 | 2 | |
| 4 | 4 | |
| 5 | 62 | |
| 6 | 55 | |
| 7 | Artificial intelligence in healthcare: transforming the practice of medicinebreakdown → | 668 |
| 8 | 70 | |
| 9 | 46 | |
| 10 | Overfitting in Synthesis: Theory and Practice | 1 |
| 11 | 22 | |
| 12 | 4 | |
| 13 | Solving Weighted Constraints with Applications to Program Analysis | 1 |
| 14 | 41 | |
| 15 | One-Bit Compressed Sensing: Provable Support and Vector Recovery | 29 |
| 16 | 24 | |
| 17 | 0 | |
| 18 | Tail-biting Trellises for Linear Codes and their Duals | 0 |
| 19 | 0 | |
| 20 | 1 |
About Aditya Nori
Aditya Nori is a scholar working on Health Informatics, Software and Applied Psychology, having authored 20 papers that have together received 1.1k indexed citations. Recurring topics across this work include Radiomics and Machine Learning in Medical Imaging (4 papers), Coding theory and cryptography (4 papers) and Error Correcting Code Techniques (4 papers). The work is most often cited by research in Health Informatics (427 citations), Health Information Management (100 citations) and Applied Psychology (78 citations). Aditya Nori has collaborated with scholars based in United Kingdom, United States and India. Frequent co-authors include Junaid Bajwa, Bryan Williams, Usman Munir, Ozan Oktay, Anton Schwaighofer, Javier Alvarez-Valle, Anja Thieme, David Carter, Daniel C. Castro and Chung-Kil Hur. Their work appears in journals such as Nature Communications, PLoS ONE and Physics in Medicine and 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.