Chirag Ahuja
- Computer Vision and Pattern Recognition top 2%
- Neurology top 2%
- Neurology top 5%
- Surgery top 10%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Niranjan KhandelwalJainy SachdevaVinod KumarIndra GuptaSivashanmugam DhandapaniPinaki DuttaSameer VyasPreetam Bhardwaj
- Topics
- Glioma Diagnosis and Treatment (28 papers)Pituitary Gland Disorders and Treatments (28 papers)Meningioma and schwannoma management (27 papers)
- Journals
- SHILAP Revista de lepidopterologíaThe Journal of Clinical Endocrinology & MetabolismNeurology
- Partner nations
- IndiaUnited KingdomUnited States
In The Last Decade
Chirag Ahuja
202 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 153
- Computer Vision and Pattern Recognition 490
- Neurology 419
- Neurology 401
- Surgery 363
- Radiology, Nuclear Medicine and Imaging 276
Countries citing papers authored by Chirag Ahuja
This map shows the geographic impact of Chirag Ahuja'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 Chirag Ahuja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chirag Ahuja more than expected).
Fields of papers citing papers by Chirag Ahuja
This network shows the impact of papers produced by Chirag Ahuja. 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 Chirag Ahuja. The network helps show where Chirag Ahuja may publish in the future.
Co-authorship network of co-authors of Chirag Ahuja
This figure shows the co-authorship network connecting the top 25 collaborators of Chirag Ahuja. A scholar is included among the top collaborators of Chirag Ahuja 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 Chirag Ahuja. Chirag Ahuja is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 6 | |
| 5 | 1 | |
| 6 | 3 | |
| 7 | 7 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 2 | |
| 11 | 6 | |
| 12 | 1 | |
| 13 | 32 | |
| 14 | 12 | |
| 15 | 3 | |
| 16 | Computer Aided Automatic Brain Segmentation from Computed Tomography Images using Multilevel Masking. | 0 |
| 17 | 12 | |
| 18 | Detection of nude images on large scale using Hadoop | 1 |
| 19 | Hybrid model for 2-D rigid multimodal registration of brain images | 1 |
| 20 | 36 |
About Chirag Ahuja
Chirag Ahuja is a scholar working on Neurology, Genetics and Neurology, having authored 237 papers that have together received 2.1k indexed citations. Recurring topics across this work include Glioma Diagnosis and Treatment (28 papers), Pituitary Gland Disorders and Treatments (28 papers) and Meningioma and schwannoma management (27 papers). The work is most often cited by research in Neurology (419 citations), Neurology (401 citations) and Computer Vision and Pattern Recognition (490 citations). Chirag Ahuja has collaborated with scholars based in India, United Kingdom and United States. Frequent co-authors include Niranjan Khandelwal, Jainy Sachdeva, Vinod Kumar, Indra Gupta, Sivashanmugam Dhandapani, Pinaki Dutta, Sameer Vyas, Preetam Bhardwaj, Arghya Chakravorty and R. P. Agarwal. Their work appears in journals such as SHILAP Revista de lepidopterología, The Journal of Clinical Endocrinology & Metabolism and Neurology.
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.