Ramesh Sridharan
- Epidemiology
- Cognitive Neuroscience
- Computer Vision and Pattern Recognition
- Radiology, Nuclear Medicine and Imaging
- Pulmonary and Respiratory Medicine
- Co-authors
- Polina GollandDanial LashkariNancy KanwisherEdward VulPo‐Jang HsiehMatthew JohnsonDan GarciaKaitlin Fitzpatrick
- Topics
- Image Retrieval and Classification Techniques (4 papers)Morphological variations and asymmetry (2 papers)Acute Ischemic Stroke Management (2 papers)
- Partner nations
- United StatesIndia
In The Last Decade
Ramesh Sridharan
10 papers receiving 106 citations
Peers
Comparison fields: 5 of 50
- Epidemiology 30
- Cognitive Neuroscience 23
- Computer Vision and Pattern Recognition 20
- Radiology, Nuclear Medicine and Imaging 19
- Pulmonary and Respiratory Medicine 17
Countries citing papers authored by Ramesh Sridharan
This map shows the geographic impact of Ramesh Sridharan'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 Ramesh Sridharan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ramesh Sridharan more than expected).
Fields of papers citing papers by Ramesh Sridharan
This network shows the impact of papers produced by Ramesh Sridharan. 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 Ramesh Sridharan. The network helps show where Ramesh Sridharan may publish in the future.
Co-authorship network of co-authors of Ramesh Sridharan
This figure shows the co-authorship network connecting the top 25 collaborators of Ramesh Sridharan. A scholar is included among the top collaborators of Ramesh Sridharan 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 Ramesh Sridharan. Ramesh Sridharan 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 | 2 | |
| 3 | 2 | |
| 4 | 9 | |
| 5 | 10 | |
| 6 | 22 | |
| 7 | 6 | |
| 8 | Categories and Functional Units: An Infinite Hierarchical Model for Brain Activations. | 4 |
| 9 | Infusing Parallelism into Introductory Computer Science Curriculum using MapReduce | 15 |
| 10 | 44 |
About Ramesh Sridharan
Ramesh Sridharan is a scholar working on Computer Vision and Pattern Recognition, Geometry and Topology and Information Systems and Management, having authored 10 papers that have together received 115 indexed citations. Recurring topics across this work include Image Retrieval and Classification Techniques (4 papers), Morphological variations and asymmetry (2 papers) and Acute Ischemic Stroke Management (2 papers). The work is most often cited by research in Cognitive Neuroscience (23 citations), Neurology (9 citations) and Computer Vision and Pattern Recognition (20 citations). Ramesh Sridharan has collaborated with scholars based in United States and India. Frequent co-authors include Polina Golland, Danial Lashkari, Nancy Kanwisher, Edward Vul, Po‐Jang Hsieh, Matthew Johnson, Dan Garcia, Kaitlin Fitzpatrick, Lisa Cloonan and Karen L. Furie. Their work appears in journals such as NeuroImage, Lecture notes in computer science and Neuroepidemiology.
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.