Sanjay Saxena
- Radiology, Nuclear Medicine and Imaging top 5%
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 5%
- Neurology top 5%
- Biomedical Engineering
- Co-authors
- Gopal Krishna NayakBiswajit JenaJasjit S. SuriLuca SabaSuchismita DasSudip PaulManudeep KalraNeeraj Sharma
- Topics
- Brain Tumor Detection and Classification (23 papers)Radiomics and Machine Learning in Medical Imaging (17 papers)Advanced Neural Network Applications (15 papers)
- Journals
- SHILAP Revista de lepidopterologíaNeurocomputingCancers
- Partner nations
- IndiaUnited StatesItaly
In The Last Decade
Sanjay Saxena
65 papers receiving 925 citations
Peers
Comparison fields: 5 of 128
- Radiology, Nuclear Medicine and Imaging 379
- Computer Vision and Pattern Recognition 315
- Artificial Intelligence 258
- Neurology 244
- Biomedical Engineering 113
Countries citing papers authored by Sanjay Saxena
This map shows the geographic impact of Sanjay Saxena'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 Sanjay Saxena with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjay Saxena more than expected).
Fields of papers citing papers by Sanjay Saxena
This network shows the impact of papers produced by Sanjay Saxena. 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 Sanjay Saxena. The network helps show where Sanjay Saxena may publish in the future.
Co-authorship network of co-authors of Sanjay Saxena
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjay Saxena. A scholar is included among the top collaborators of Sanjay Saxena 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 Sanjay Saxena. Sanjay Saxena 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 | 0 | |
| 4 | 0 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 3 | |
| 8 | 27 | |
| 9 | 33 | |
| 10 | 26 | |
| 11 | 47 | |
| 12 | 86 | |
| 13 | 27 | |
| 14 | 66 | |
| 15 | 4 | |
| 16 | Iot Based Smart Garbage Bin | 1 |
| 17 | 42 | |
| 18 | 37 | |
| 19 | A Study Of Detecting Malicious URL Using Convnet | 3 |
| 20 | 15 |
About Sanjay Saxena
Sanjay Saxena is a scholar working on Health Informatics, Neurology and Computer Vision and Pattern Recognition, having authored 78 papers that have together received 952 indexed citations. Recurring topics across this work include Brain Tumor Detection and Classification (23 papers), Radiomics and Machine Learning in Medical Imaging (17 papers) and Advanced Neural Network Applications (15 papers). The work is most often cited by research in Health Informatics (63 citations), Neurology (244 citations) and Radiology, Nuclear Medicine and Imaging (379 citations). Sanjay Saxena has collaborated with scholars based in India, United States and Italy. Frequent co-authors include Gopal Krishna Nayak, Biswajit Jena, Jasjit S. Suri, Luca Saba, Luca Saba, Suchismita Das, Sudip Paul, Manudeep Kalra, Neeraj Sharma and Mannudeep K. Kalra. Their work appears in journals such as SHILAP Revista de lepidopterología, Neurocomputing and Cancers.
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.