Sanjukta Krishnagopal
- Statistical and Nonlinear Physics
- Neurology
- Artificial Intelligence
- Computer Networks and Communications
- Cognitive Neuroscience
- Co-authors
- Ginestra BianconiMichelle GirvanRainer von CoellnLisa M. ShulmanYiannis AloimonosKeith R. LohseFang‐Chi HsuBradford B. Worrall
- Topics
- Neural Networks and Reservoir Computing (3 papers)Neural dynamics and brain function (2 papers)Neural Networks and Applications (2 papers)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Sanjukta Krishnagopal
10 papers receiving 69 citations
Peers
Comparison fields: 5 of 45
- Statistical and Nonlinear Physics 16
- Neurology 14
- Artificial Intelligence 14
- Computer Networks and Communications 12
- Cognitive Neuroscience 9
Countries citing papers authored by Sanjukta Krishnagopal
This map shows the geographic impact of Sanjukta Krishnagopal'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 Sanjukta Krishnagopal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sanjukta Krishnagopal more than expected).
Fields of papers citing papers by Sanjukta Krishnagopal
This network shows the impact of papers produced by Sanjukta Krishnagopal. 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 Sanjukta Krishnagopal. The network helps show where Sanjukta Krishnagopal may publish in the future.
Co-authorship network of co-authors of Sanjukta Krishnagopal
This figure shows the co-authorship network connecting the top 25 collaborators of Sanjukta Krishnagopal. A scholar is included among the top collaborators of Sanjukta Krishnagopal 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 Sanjukta Krishnagopal. Sanjukta Krishnagopal is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 13 | |
| 2 | 16 | |
| 3 | 1 | |
| 4 | 2 | |
| 5 | 1 | |
| 6 | 4 | |
| 7 | 20 | |
| 8 | 1 | |
| 9 | 10 | |
| 10 | Generalization of Learning using Reservoir Computing | 1 |
About Sanjukta Krishnagopal
Sanjukta Krishnagopal is a scholar working on Statistical and Nonlinear Physics, Rehabilitation and Communication, having authored 10 papers that have together received 69 indexed citations. Recurring topics across this work include Neural Networks and Reservoir Computing (3 papers), Neural dynamics and brain function (2 papers) and Neural Networks and Applications (2 papers). The work is most often cited by research in Statistical and Nonlinear Physics (16 citations), Neurology (14 citations) and Rehabilitation (5 citations). Sanjukta Krishnagopal has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Ginestra Bianconi, Michelle Girvan, Rainer von Coelln, Lisa M. Shulman, Yiannis Aloimonos, Keith R. Lohse, Fang‐Chi Hsu, Bradford B. Worrall, Yuxiang Liu and James A. Reggia. Their work appears in journals such as PLoS ONE, Stroke and Chaos Solitons & Fractals.
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.