Shabnam Kadir
- Cognitive Neuroscience top 2%
- Neural dynamics and brain function 7
- EEG and Brain-Computer Interfaces 4
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- Neuroscience and Neural Engineering 2
- Sensory Systems top 5%
- Developmental Biology top 10%
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- Neural Networks and Applications 2
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- Advanced Memory and Neural Computing 2
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- Fractional Differential Equations Solutions 1
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- Geometry and complex manifolds 1
- Algebraic Geometry and Number Theory 1
- Co-authors
- Kenneth D. HarrisDan F. M. GoodmanMatteo CarandiniGyörgy BuzsákiAndreas S. ToliasCyrille RossantAndres GrosmarkAman B. Saleem
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
Shabnam Kadir
10 papers receiving 960 citations
Hit Papers
Peers
Comparison fields: 5 of 87
- Cognitive Neuroscience 804
- Cellular and Molecular Neuroscience 593
- Sensory Systems 81
- Developmental Biology 21
- Neurology 38
Countries citing papers authored by Shabnam Kadir
This map shows the geographic impact of Shabnam Kadir'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 Shabnam Kadir with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shabnam Kadir more than expected).
Fields of papers citing papers by Shabnam Kadir
This network shows the impact of papers produced by Shabnam Kadir. 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 Shabnam Kadir. The network helps show where Shabnam Kadir may publish in the future.
Co-authorship network
The 22 scholars most cited alongside Shabnam Kadir, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | 2020 | 30 | |
| 3 | 2019 | 17 | |
| 4 | 2017 | 8 | |
| 5 | Fast and accurate spike sorting of high-channel count probes with KiloSort | 2016 | 166 |
| 6 | Spike sorting for large, dense electrode arraysbreakdown → | 2016 | 510 |
| 7 | 2014 | 225 | |
| 8 | 2013 | 1 | |
| 9 | 2011 | 4 | |
| 10 | Approximate Analytical Solution of 3D Fractional Microscale Heat Equation Using Modified Homotopy Perturbation Method | 2009 | 2 |
About Shabnam Kadir
Shabnam Kadir is a scholar working on Cognitive Neuroscience, Modeling and Simulation and Geometry and Topology, having authored 10 papers that have together received 966 indexed citations. Recurring topics across this work include Neural dynamics and brain function (7 papers), EEG and Brain-Computer Interfaces (4 papers), Neural Networks and Applications (2 papers), Advanced Memory and Neural Computing (2 papers), Neuroscience and Neural Engineering (2 papers), Fractional Differential Equations Solutions (1 paper), Geometry and complex manifolds (1 paper) and Algebraic Geometry and Number Theory (1 paper). The work is most often cited by research in Cognitive Neuroscience (804 citations), Cellular and Molecular Neuroscience (593 citations) and Sensory Systems (81 citations). Shabnam Kadir has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Kenneth D. Harris, Dan F. M. Goodman, Matteo Carandini, György Buzsáki, Andreas S. Tolias, Cyrille Rossant, Andres Grosmark, Aman B. Saleem, Alexander S. Ecker and George H. Denfield. Their work appears in journals such as Nature Neuroscience, NeuroImage and Neural Computation.
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.