Saurabh K. Bose
- Electrical and Electronic Engineering top 10%
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience top 10%
- Biomedical Engineering
- Co-authors
- S. A. BrownJoshua B. MallinsonSusant Kumar AcharyaWilfred G. van der WielMatthew D. ArnoldHajo BroersmaZhi‐Hong LiuRudolf M.J. van Damme
- Topics
- Advanced Memory and Neural Computing (10 papers)Neural dynamics and brain function (8 papers)Neural Networks and Reservoir Computing (6 papers)
- Cited by
- Cognitive NeuroscienceCellular and Molecular NeuroscienceElectrical and Electronic Engineering
- Partner nations
- New ZealandAustraliaUnited States
In The Last Decade
Saurabh K. Bose
12 papers receiving 438 citations
Peers
Comparison fields: 5 of 43
- Electrical and Electronic Engineering 381
- Cognitive Neuroscience 201
- Artificial Intelligence 171
- Cellular and Molecular Neuroscience 127
- Biomedical Engineering 42
Countries citing papers authored by Saurabh K. Bose
This map shows the geographic impact of Saurabh K. Bose'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 Saurabh K. Bose with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Saurabh K. Bose more than expected).
Fields of papers citing papers by Saurabh K. Bose
This network shows the impact of papers produced by Saurabh K. Bose. 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 Saurabh K. Bose. The network helps show where Saurabh K. Bose may publish in the future.
Co-authorship network of co-authors of Saurabh K. Bose
This figure shows the co-authorship network connecting the top 25 collaborators of Saurabh K. Bose. A scholar is included among the top collaborators of Saurabh K. Bose 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 Saurabh K. Bose. Saurabh K. Bose is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 1 | |
| 3 | 7 | |
| 4 | 12 | |
| 5 | 28 | |
| 6 | 44 | |
| 7 | 58 | |
| 8 | 84 | |
| 9 | 1 | |
| 10 | 31 | |
| 11 | 58 | |
| 12 | 112 | |
| 13 | 0 |
About Saurabh K. Bose
Saurabh K. Bose is a scholar working on Cognitive Neuroscience, Energy Engineering and Power Technology and Artificial Intelligence, having authored 13 papers that have together received 438 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (10 papers), Neural dynamics and brain function (8 papers) and Neural Networks and Reservoir Computing (6 papers). The work is most often cited by research in Cognitive Neuroscience (201 citations), Cellular and Molecular Neuroscience (127 citations) and Electrical and Electronic Engineering (381 citations). Saurabh K. Bose has collaborated with scholars based in New Zealand, Australia and United States. Frequent co-authors include S. A. Brown, Joshua B. Mallinson, Susant Kumar Acharya, Wilfred G. van der Wiel, Matthew D. Arnold, Hajo Broersma, Zhi‐Hong Liu, Rudolf M.J. van Damme, Rodrigo M. Gazoni and Philip J. Bones. Their work appears in journals such as Nano Letters, Nature Nanotechnology and ACS Applied Materials & Interfaces.
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.