Sandeep Subramanian
- Artificial Intelligence top 0.5%
- Rehabilitation top 0.5%
- Molecular Biology
- Computer Vision and Pattern Recognition top 5%
- Psychiatry and Mental health top 5%
- Co-authors
- Guillaume LampleChris DyerMiguel BallesterosKazuya KawakamiMindy F. LevinGevorg ChilingaryanChris PalHeidi Sveistrup
- Topics
- Stroke Rehabilitation and Recovery (31 papers)Musculoskeletal pain and rehabilitation (14 papers)Cerebral Palsy and Movement Disorders (13 papers)
- Journals
- SHILAP Revista de lepidopterologíaStrokeJournal of Neurophysiology
- Partner nations
- CanadaUnited StatesIndia
In The Last Decade
Sandeep Subramanian
59 papers receiving 3.7k citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Artificial Intelligence 2.6k
- Rehabilitation 825
- Molecular Biology 413
- Computer Vision and Pattern Recognition 348
- Psychiatry and Mental health 332
Countries citing papers authored by Sandeep Subramanian
This map shows the geographic impact of Sandeep Subramanian'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 Sandeep Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sandeep Subramanian more than expected).
Fields of papers citing papers by Sandeep Subramanian
This network shows the impact of papers produced by Sandeep Subramanian. 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 Sandeep Subramanian. The network helps show where Sandeep Subramanian may publish in the future.
Co-authorship network of co-authors of Sandeep Subramanian
This figure shows the co-authorship network connecting the top 25 collaborators of Sandeep Subramanian. A scholar is included among the top collaborators of Sandeep Subramanian 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 Sandeep Subramanian. Sandeep Subramanian 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 | 9 | |
| 3 | 2 | |
| 4 | 52 | |
| 5 | 8 | |
| 6 | 106 | |
| 7 | 17 | |
| 8 | 22 | |
| 9 | State-Reification Networks: Improving Generalization by Modeling the Distribution of Hidden Representations | 1 |
| 10 | 14 | |
| 11 | 14 | |
| 12 | Multiple-Attribute Text Rewriting. | 101 |
| 13 | 36 | |
| 14 | 75 | |
| 15 | 18 | |
| 16 | 71 | |
| 17 | VIT@MediaEval 2013 Placing Task : Location Specific Tag Weighting for Language Model Based Placing of Images | 1 |
| 18 | 44 | |
| 19 | 95 | |
| 20 | Incidence of hepatitis B surface antigen and antibody in patients with liver diseases, blood donors and leprosy patients--a preliminary report. | 2 |
About Sandeep Subramanian
Sandeep Subramanian is a scholar working on Rehabilitation, Psychiatry and Mental health and Pharmacology, having authored 59 papers that have together received 4.0k indexed citations. Recurring topics across this work include Stroke Rehabilitation and Recovery (31 papers), Musculoskeletal pain and rehabilitation (14 papers) and Cerebral Palsy and Movement Disorders (13 papers). The work is most often cited by research in Rehabilitation (825 citations), Artificial Intelligence (2.6k citations) and Human-Computer Interaction (172 citations). Sandeep Subramanian has collaborated with scholars based in Canada, United States and India. Frequent co-authors include Guillaume Lample, Chris Dyer, Miguel Ballesteros, Kazuya Kawakami, Mindy F. Levin, Gevorg Chilingaryan, Chris Pal, Heidi Sveistrup, Luiz Alberto Manfré Knaut and Matthew P. Malcolm. Their work appears in journals such as SHILAP Revista de lepidopterología, Stroke and Journal of Neurophysiology.
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.