Sumit Bam Shrestha
- Electrical and Electronic Engineering
- Cognitive Neuroscience top 10%
- Artificial Intelligence top 10%
- Cellular and Molecular Neuroscience
- Biomedical Engineering
- Co-authors
- Qing SongGemma TaverniEnea CeoliniCharlotte FrenkelLyes KhacefElisa DonatiMelika PayvandMike Davies
- Topics
- Advanced Memory and Neural Computing (14 papers)Neural dynamics and brain function (12 papers)Neural Networks and Reservoir Computing (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaIEEE Transactions on Neural Networks and Learning SystemsNeurocomputing
- Partner nations
- SingaporeUnited StatesBelgium
In The Last Decade
Sumit Bam Shrestha
16 papers receiving 321 citations
Peers
Comparison fields: 5 of 48
- Electrical and Electronic Engineering 206
- Cognitive Neuroscience 160
- Artificial Intelligence 124
- Cellular and Molecular Neuroscience 56
- Biomedical Engineering 40
Countries citing papers authored by Sumit Bam Shrestha
This map shows the geographic impact of Sumit Bam Shrestha'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 Sumit Bam Shrestha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sumit Bam Shrestha more than expected).
Fields of papers citing papers by Sumit Bam Shrestha
This network shows the impact of papers produced by Sumit Bam Shrestha. 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 Sumit Bam Shrestha. The network helps show where Sumit Bam Shrestha may publish in the future.
Co-authorship network of co-authors of Sumit Bam Shrestha
This figure shows the co-authorship network connecting the top 25 collaborators of Sumit Bam Shrestha. A scholar is included among the top collaborators of Sumit Bam Shrestha 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 Sumit Bam Shrestha. Sumit Bam Shrestha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | 18 | |
| 3 | 10 | |
| 4 | 11 | |
| 5 | 5 | |
| 6 | 127 | |
| 7 | 3 | |
| 8 | 15 | |
| 9 | 17 | |
| 10 | 7 | |
| 11 | 13 | |
| 12 | 6 | |
| 13 | 22 | |
| 14 | 38 | |
| 15 | 12 | |
| 16 | 7 |
About Sumit Bam Shrestha
Sumit Bam Shrestha is a scholar working on Cognitive Neuroscience, Artificial Intelligence and Electrical and Electronic Engineering, having authored 16 papers that have together received 325 indexed citations. Recurring topics across this work include Advanced Memory and Neural Computing (14 papers), Neural dynamics and brain function (12 papers) and Neural Networks and Reservoir Computing (10 papers). The work is most often cited by research in Cognitive Neuroscience (160 citations), Human-Computer Interaction (31 citations) and Artificial Intelligence (124 citations). Sumit Bam Shrestha has collaborated with scholars based in Singapore, United States and Belgium. Frequent co-authors include Qing Song, Gemma Taverni, Enea Ceolini, Charlotte Frenkel, Lyes Khacef, Elisa Donati, Melika Payvand, Qing Song, Mike Davies and Garrick Orchard. Their work appears in journals such as SHILAP Revista de lepidopterología, IEEE Transactions on Neural Networks and Learning Systems and Neurocomputing.
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.