Shailendra Tiwari
- Computer Vision and Pattern Recognition top 5%
- Artificial Intelligence top 10%
- Radiology, Nuclear Medicine and Imaging top 10%
- Media Technology top 10%
- Biomedical Engineering
- Co-authors
- Yadunath PathakK. V. AryaNaresh KumarAshutosh AggarwalYogesh KumarKaramjeet SinghShivendra ShivaniRajeev Srivastava
- Topics
- Medical Imaging Techniques and Applications (14 papers)Advanced X-ray and CT Imaging (8 papers)Radiomics and Machine Learning in Medical Imaging (5 papers)
- Cited by
- Computer Vision and Pattern RecognitionHealth InformaticsRadiology, Nuclear Medicine and Imaging
- Journals
- SHILAP Revista de lepidopterologíaNeural Computing and ApplicationsBiomedical Signal Processing and Control
In The Last Decade
Shailendra Tiwari
36 papers receiving 374 citations
Peers
Comparison fields: 5 of 84
- Computer Vision and Pattern Recognition 150
- Artificial Intelligence 131
- Radiology, Nuclear Medicine and Imaging 119
- Media Technology 35
- Biomedical Engineering 32
Countries citing papers authored by Shailendra Tiwari
This map shows the geographic impact of Shailendra Tiwari'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 Shailendra Tiwari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shailendra Tiwari more than expected).
Fields of papers citing papers by Shailendra Tiwari
This network shows the impact of papers produced by Shailendra Tiwari. 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 Shailendra Tiwari. The network helps show where Shailendra Tiwari may publish in the future.
Co-authorship network of co-authors of Shailendra Tiwari
This figure shows the co-authorship network connecting the top 25 collaborators of Shailendra Tiwari. A scholar is included among the top collaborators of Shailendra Tiwari 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 Shailendra Tiwari. Shailendra Tiwari 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 | 1 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 2 | |
| 7 | 5 | |
| 8 | 18 | |
| 9 | 3 | |
| 10 | 3 | |
| 11 | 69 | |
| 12 | 3 | |
| 13 | 14 | |
| 14 | 1 | |
| 15 | 9 | |
| 16 | 2 | |
| 17 | 2 | |
| 18 | 2 | |
| 19 | 3 | |
| 20 | 5 |
About Shailendra Tiwari
Shailendra Tiwari is a scholar working on Radiology, Nuclear Medicine and Imaging, Computer Vision and Pattern Recognition and Transplantation, having authored 37 papers that have together received 387 indexed citations. Recurring topics across this work include Medical Imaging Techniques and Applications (14 papers), Advanced X-ray and CT Imaging (8 papers) and Radiomics and Machine Learning in Medical Imaging (5 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (150 citations), Health Informatics (9 citations) and Radiology, Nuclear Medicine and Imaging (119 citations). Shailendra Tiwari has collaborated with scholars based in India, China and Russia. Frequent co-authors include Yadunath Pathak, K. V. Arya, Naresh Kumar, Ashutosh Aggarwal, Yogesh Kumar, Karamjeet Singh, Shivendra Shivani, Rajeev Srivastava, Dilbag Singh and Kuldeep Kaur. Their work appears in journals such as SHILAP Revista de lepidopterología, Neural Computing and Applications and Biomedical Signal Processing and Control.
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.