Neelam Sinha
- Computer Vision and Pattern Recognition top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Cognitive Neuroscience
- Artificial Intelligence
- Ophthalmology top 10%
- Co-authors
- A. G. RamakrishnanR. Venkatesh BabuJitender SainiRajikha RajaAnita MahadevanSrinivas S S KruthiventiVivek KumarManojkumar Saranathan
- Topics
- EEG and Brain-Computer Interfaces (17 papers)Advanced MRI Techniques and Applications (11 papers)Advanced Neuroimaging Techniques and Applications (11 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsExpert Systems with Applications
- Partner nations
- IndiaUnited StatesSingapore
In The Last Decade
Neelam Sinha
61 papers receiving 382 citations
Peers
Comparison fields: 5 of 75
- Computer Vision and Pattern Recognition 162
- Radiology, Nuclear Medicine and Imaging 157
- Cognitive Neuroscience 91
- Artificial Intelligence 87
- Ophthalmology 43
Countries citing papers authored by Neelam Sinha
This map shows the geographic impact of Neelam Sinha'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 Neelam Sinha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Neelam Sinha more than expected).
Fields of papers citing papers by Neelam Sinha
This network shows the impact of papers produced by Neelam Sinha. 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 Neelam Sinha. The network helps show where Neelam Sinha may publish in the future.
Co-authorship network of co-authors of Neelam Sinha
This figure shows the co-authorship network connecting the top 25 collaborators of Neelam Sinha. A scholar is included among the top collaborators of Neelam Sinha 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 Neelam Sinha. Neelam Sinha 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 | 1 | |
| 3 | 2 | |
| 4 | 1 | |
| 5 | 1 | |
| 6 | 1 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 1 | |
| 10 | 1 | |
| 11 | 2 | |
| 12 | 4 | |
| 13 | 4 | |
| 14 | 3 | |
| 15 | 53 | |
| 16 | 2 | |
| 17 | 6 | |
| 18 | 12 | |
| 19 | 3 | |
| 20 | 83 |
About Neelam Sinha
Neelam Sinha is a scholar working on Radiology, Nuclear Medicine and Imaging, Signal Processing and Cognitive Neuroscience, having authored 73 papers that have together received 404 indexed citations. Recurring topics across this work include EEG and Brain-Computer Interfaces (17 papers), Advanced MRI Techniques and Applications (11 papers) and Advanced Neuroimaging Techniques and Applications (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (162 citations), Radiology, Nuclear Medicine and Imaging (157 citations) and Biophysics (36 citations). Neelam Sinha has collaborated with scholars based in India, United States and Singapore. Frequent co-authors include A. G. Ramakrishnan, R. Venkatesh Babu, Jitender Saini, Rajikha Raja, Anita Mahadevan, Srinivas S S Kruthiventi, Vivek Kumar, Manojkumar Saranathan, Suresh Sundaram and K.R. Ramakrishnan. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and Expert Systems with Applications.
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.